micheleandClaude Sonnet 5
3026dcd997
Implements M2 of the V2 roadmap: neural_processor_array.v instantiates
N_PROCESSORS independent neural_processor (M1) units, each with its
own dedicated point-to-point job/operand/result interface -- no shared
bus or mux at this level (arbitration is explicitly the Neural
Director's job, M5).
Verified with Verilator (tb_neural_processor_array.v, N_PROCESSORS=4):
7/7 tests pass, including a same-cycle 4-way concurrent launch with
different tile counts and a staggered-start test where a
later-launched, shorter job completes before an earlier-launched,
longer one -- confirming genuine independent concurrent execution
(§18/§34: a blocked/busy processor must not block the others).
Real resource/timing sweep for N_PROCESSORS in {1,2,4,8} (Yosys +
nextpnr-ecp5, real place&route): Fmax stays above the 80MHz target
throughout (159.11 -> 134.70 MHz), but MULT18X18D usage scales
linearly and reaches 88% of the LFE5U-45F's 72 DSPs at N=8 while
LUT/FF stay under 6% -- DSP, not LUT/FF/routing, is the first hard
ceiling on N_PROCESSORS at P_IN=8 (decisions.log DEC-0005). Measured
via a dedicated synthesis-only timing harness after the array's wide
per-processor buses were found to exhaust the device's TRELLIS_IO pin
budget as a bare top-level module beyond N=1 (errors.log ERR-0005) --
not a logic limit, an artifact of testing the array in isolation
before the Memory Manager/Director (M4/M5) exist to consume those
ports on-chip.
Full log trail (development/experiments/errors/decisions/simulation/
synthesis/timing/benchmark.log) in hardware/v2/logs/ per the project's
logging mandate.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013xXuuRUWZScuo1DeYJxs3v
3110 lines
368 KiB
Plaintext
3110 lines
368 KiB
Plaintext
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/----------------------------------------------------------------------------\
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| yosys -- Yosys Open SYnthesis Suite |
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| Copyright (C) 2012 - 2026 Claire Xenia Wolf <claire@yosyshq.com> |
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| Distributed under an ISC-like license, type "license" to see terms |
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\----------------------------------------------------------------------------/
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Yosys 0.68+post (git sha1 c12172fbae8af5e20f6fb52e3d4e92d56ed587b6, Release, AppleClang clang++ 21.0.0.21000101)
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-- Running command `
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read_verilog hardware/v2/rtl/neural_processor.v hardware/v2/rtl/neural_processor_array.v
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chparam -set N_PROCESSORS 8 neural_processor_array
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synth_ecp5 -json hardware/v2/synthesis/neural_processor_array_n8/top.json -top neural_processor_array
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' --
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1. Executing Verilog-2005 frontend: hardware/v2/rtl/neural_processor.v
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Parsing Verilog input from `hardware/v2/rtl/neural_processor.v' to AST representation.
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Generating RTLIL representation for module `\neural_processor'.
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Warning: Replacing memory \tree with list of registers. See hardware/v2/rtl/neural_processor.v:193
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Warning: Replacing memory \prod1 with list of registers. See hardware/v2/rtl/neural_processor.v:151
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Warning: Replacing memory \w0 with list of registers. See hardware/v2/rtl/neural_processor.v:122
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Warning: Replacing memory \x0 with list of registers. See hardware/v2/rtl/neural_processor.v:121
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Successfully finished Verilog frontend.
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2. Executing Verilog-2005 frontend: hardware/v2/rtl/neural_processor_array.v
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Parsing Verilog input from `hardware/v2/rtl/neural_processor_array.v' to AST representation.
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Generating RTLIL representation for module `\neural_processor_array'.
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Successfully finished Verilog frontend.
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Parameter \N_PROCESSORS = 8
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3. Executing AST frontend in derive mode using pre-parsed AST for module `\neural_processor_array'.
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Parameter \N_PROCESSORS = 8
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Generating RTLIL representation for module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
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4. Executing SYNTH_LATTICE pass.
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4.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/lattice/cells_sim_ecp5.v
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Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/lattice/cells_sim_ecp5.v' to AST representation.
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Generating RTLIL representation for module `\LUT4'.
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Generating RTLIL representation for module `\$__ABC9_LUT5'.
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Generating RTLIL representation for module `\$__ABC9_LUT6'.
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Generating RTLIL representation for module `\$__ABC9_LUT7'.
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Generating RTLIL representation for module `\L6MUX21'.
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Generating RTLIL representation for module `\TRELLIS_RAM16X2'.
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Generating RTLIL representation for module `\PFUMX'.
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Generating RTLIL representation for module `\TRELLIS_DPR16X4'.
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Generating RTLIL representation for module `\DPR16X4C'.
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Generating RTLIL representation for module `\LUT2'.
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Generating RTLIL representation for module `\TRELLIS_FF'.
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Generating RTLIL representation for module `\TRELLIS_IO'.
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Generating RTLIL representation for module `\INV'.
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Generating RTLIL representation for module `\TRELLIS_COMB'.
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Generating RTLIL representation for module `\VLO'.
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Generating RTLIL representation for module `\VHI'.
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Generating RTLIL representation for module `\FD1P3AX'.
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Generating RTLIL representation for module `\FD1P3AY'.
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Generating RTLIL representation for module `\FD1P3BX'.
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Generating RTLIL representation for module `\FD1P3DX'.
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Generating RTLIL representation for module `\FD1P3IX'.
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Generating RTLIL representation for module `\FD1P3JX'.
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Generating RTLIL representation for module `\FD1S3AX'.
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Generating RTLIL representation for module `\FD1S3AY'.
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Generating RTLIL representation for module `\FD1S3BX'.
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Generating RTLIL representation for module `\FD1S3DX'.
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Generating RTLIL representation for module `\FD1S3IX'.
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Generating RTLIL representation for module `\FD1S3JX'.
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Generating RTLIL representation for module `\IFS1P3BX'.
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Generating RTLIL representation for module `\IFS1P3DX'.
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Generating RTLIL representation for module `\IFS1P3IX'.
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Generating RTLIL representation for module `\IFS1P3JX'.
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Generating RTLIL representation for module `\OFS1P3BX'.
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Generating RTLIL representation for module `\OFS1P3DX'.
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Generating RTLIL representation for module `\OFS1P3IX'.
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Generating RTLIL representation for module `\OFS1P3JX'.
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Generating RTLIL representation for module `\IB'.
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Generating RTLIL representation for module `\IBPU'.
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Generating RTLIL representation for module `\IBPD'.
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Generating RTLIL representation for module `\OB'.
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Generating RTLIL representation for module `\OBZ'.
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Generating RTLIL representation for module `\OBZPU'.
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Generating RTLIL representation for module `\OBZPD'.
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Generating RTLIL representation for module `\OBCO'.
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Generating RTLIL representation for module `\BB'.
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Generating RTLIL representation for module `\BBPU'.
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Generating RTLIL representation for module `\BBPD'.
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Generating RTLIL representation for module `\ILVDS'.
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Generating RTLIL representation for module `\OLVDS'.
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Generating RTLIL representation for module `\CCU2C'.
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Generating RTLIL representation for module `\DP16KD'.
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Replacing existing blackbox module `\FD1P3AX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:2.1-2.261.
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Generating RTLIL representation for module `\FD1P3AX'.
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Replacing existing blackbox module `\FD1P3AY' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:3.1-3.261.
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Generating RTLIL representation for module `\FD1P3AY'.
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Replacing existing blackbox module `\FD1P3BX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:4.1-4.261.
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Generating RTLIL representation for module `\FD1P3BX'.
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Replacing existing blackbox module `\FD1P3DX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:5.1-5.261.
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Generating RTLIL representation for module `\FD1P3DX'.
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Replacing existing blackbox module `\FD1P3IX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:6.1-6.261.
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Generating RTLIL representation for module `\FD1P3IX'.
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Replacing existing blackbox module `\FD1P3JX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:7.1-7.261.
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Generating RTLIL representation for module `\FD1P3JX'.
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Replacing existing blackbox module `\FD1S3AX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:8.1-8.261.
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Generating RTLIL representation for module `\FD1S3AX'.
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Replacing existing blackbox module `\FD1S3AY' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:9.1-9.261.
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Generating RTLIL representation for module `\FD1S3AY'.
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Replacing existing blackbox module `\FD1S3BX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:10.1-10.261.
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Generating RTLIL representation for module `\FD1S3BX'.
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Replacing existing blackbox module `\FD1S3DX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:11.1-11.261.
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Generating RTLIL representation for module `\FD1S3DX'.
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Replacing existing blackbox module `\FD1S3IX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:12.1-12.261.
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Generating RTLIL representation for module `\FD1S3IX'.
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Replacing existing blackbox module `\FD1S3JX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:13.1-13.261.
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Generating RTLIL representation for module `\FD1S3JX'.
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Replacing existing blackbox module `\IFS1P3BX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:26.1-26.301.
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Generating RTLIL representation for module `\IFS1P3BX'.
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Replacing existing blackbox module `\IFS1P3DX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:27.1-27.301.
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Generating RTLIL representation for module `\IFS1P3DX'.
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Replacing existing blackbox module `\IFS1P3IX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:28.1-28.301.
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Generating RTLIL representation for module `\IFS1P3IX'.
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Replacing existing blackbox module `\IFS1P3JX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:29.1-29.301.
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Generating RTLIL representation for module `\IFS1P3JX'.
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Replacing existing blackbox module `\OFS1P3BX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:31.1-31.302.
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Generating RTLIL representation for module `\OFS1P3BX'.
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Replacing existing blackbox module `\OFS1P3DX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:32.1-32.302.
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Generating RTLIL representation for module `\OFS1P3DX'.
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Replacing existing blackbox module `\OFS1P3IX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:33.1-33.302.
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Generating RTLIL representation for module `\OFS1P3IX'.
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Replacing existing blackbox module `\OFS1P3JX' at /opt/homebrew/bin/../share/yosys/lattice/cells_ff.vh:34.1-34.302.
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Generating RTLIL representation for module `\OFS1P3JX'.
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Replacing existing blackbox module `\IB' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:2.1-2.157.
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Generating RTLIL representation for module `\IB'.
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Replacing existing blackbox module `\IBPU' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:3.1-3.157.
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Generating RTLIL representation for module `\IBPU'.
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Replacing existing blackbox module `\IBPD' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:4.1-4.157.
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Generating RTLIL representation for module `\IBPD'.
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Replacing existing blackbox module `\OB' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:5.1-5.157.
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Generating RTLIL representation for module `\OB'.
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Replacing existing blackbox module `\OBZ' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:6.1-6.164.
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Generating RTLIL representation for module `\OBZ'.
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Replacing existing blackbox module `\OBZPU' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:7.1-7.164.
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Generating RTLIL representation for module `\OBZPU'.
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Replacing existing blackbox module `\OBZPD' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:8.1-8.164.
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Generating RTLIL representation for module `\OBZPD'.
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Replacing existing blackbox module `\OBCO' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:9.1-9.90.
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Generating RTLIL representation for module `\OBCO'.
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Replacing existing blackbox module `\BB' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:10.1-10.179.
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Generating RTLIL representation for module `\BB'.
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Replacing existing blackbox module `\BBPU' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:11.1-11.179.
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Generating RTLIL representation for module `\BBPU'.
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Replacing existing blackbox module `\BBPD' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:12.1-12.179.
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Generating RTLIL representation for module `\BBPD'.
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Replacing existing blackbox module `\ILVDS' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:13.1-13.139.
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Generating RTLIL representation for module `\ILVDS'.
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Replacing existing blackbox module `\OLVDS' at /opt/homebrew/bin/../share/yosys/lattice/cells_io.vh:14.1-14.146.
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Generating RTLIL representation for module `\OLVDS'.
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Successfully finished Verilog frontend.
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4.2. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/lattice/cells_bb_ecp5.v
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Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/lattice/cells_bb_ecp5.v' to AST representation.
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Generating RTLIL representation for module `\GSR'.
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Generating RTLIL representation for module `\PUR'.
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Generating RTLIL representation for module `\SGSR'.
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Generating RTLIL representation for module `\PDPW16KD'.
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Generating RTLIL representation for module `\MULT18X18D'.
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Generating RTLIL representation for module `\ALU54B'.
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Generating RTLIL representation for module `\CLKDIVF'.
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Generating RTLIL representation for module `\PCSCLKDIV'.
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Generating RTLIL representation for module `\DCSC'.
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Generating RTLIL representation for module `\DCCA'.
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Generating RTLIL representation for module `\ECLKSYNCB'.
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Generating RTLIL representation for module `\ECLKBRIDGECS'.
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Generating RTLIL representation for module `\DELAYF'.
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Generating RTLIL representation for module `\DELAYG'.
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Generating RTLIL representation for module `\USRMCLK'.
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Generating RTLIL representation for module `\DQSBUFM'.
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Generating RTLIL representation for module `\DDRDLLA'.
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Generating RTLIL representation for module `\DLLDELD'.
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Generating RTLIL representation for module `\IDDRX1F'.
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Generating RTLIL representation for module `\IDDRX2F'.
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Generating RTLIL representation for module `\IDDR71B'.
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Generating RTLIL representation for module `\IDDRX2DQA'.
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Generating RTLIL representation for module `\ODDRX1F'.
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Generating RTLIL representation for module `\ODDRX2F'.
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Generating RTLIL representation for module `\ODDR71B'.
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Generating RTLIL representation for module `\OSHX2A'.
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Generating RTLIL representation for module `\TSHX2DQA'.
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Generating RTLIL representation for module `\TSHX2DQSA'.
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Generating RTLIL representation for module `\ODDRX2DQA'.
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Generating RTLIL representation for module `\ODDRX2DQSB'.
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Generating RTLIL representation for module `\EHXPLLL'.
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Generating RTLIL representation for module `\DTR'.
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Generating RTLIL representation for module `\OSCG'.
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Generating RTLIL representation for module `\EXTREFB'.
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Generating RTLIL representation for module `\JTAGG'.
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Generating RTLIL representation for module `\DCUA'.
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Successfully finished Verilog frontend.
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4.3. Executing HIERARCHY pass (managing design hierarchy).
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4.3.1. Analyzing design hierarchy..
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Top module: \neural_processor_array
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Used module: \neural_processor
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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4.3.2. Executing AST frontend in derive mode using pre-parsed AST for module `\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Generating RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Warning: Replacing memory \tree with list of registers. See hardware/v2/rtl/neural_processor.v:193
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Warning: Replacing memory \prod1 with list of registers. See hardware/v2/rtl/neural_processor.v:151
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Warning: Replacing memory \w0 with list of registers. See hardware/v2/rtl/neural_processor.v:122
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Warning: Replacing memory \x0 with list of registers. See hardware/v2/rtl/neural_processor.v:121
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Reprocessing module neural_processor_array because instantiated module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor has become available.
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Generating RTLIL representation for module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
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4.3.3. Analyzing design hierarchy..
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Top module: $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000
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Used module: \neural_processor
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
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Parameter \DATA_WIDTH = 8
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Parameter \P_IN = 8
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Parameter \ACC_WIDTH = 32
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Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
|
|
Parameter \DATA_WIDTH = 8
|
|
Parameter \P_IN = 8
|
|
Parameter \ACC_WIDTH = 32
|
|
Found cached RTLIL representation for module `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor'.
|
|
|
|
4.3.4. Analyzing design hierarchy..
|
|
Top module: $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000
|
|
Used module: $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor
|
|
|
|
4.3.5. Analyzing design hierarchy..
|
|
Top module: $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000
|
|
Used module: $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor
|
|
Removing unused module `\neural_processor'.
|
|
Removed 1 unused modules.
|
|
|
|
4.4. Executing PROC pass (convert processes to netlists).
|
|
|
|
4.4.1. Executing PROC_CLEAN pass (remove empty switches from decision trees).
|
|
Cleaned up 0 empty switches.
|
|
|
|
4.4.2. Executing PROC_RMDEAD pass (remove dead branches from decision trees).
|
|
Marked 1 switch rules as full_case in process $proc$hardware/v2/rtl/neural_processor.v:181$359 in module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.
|
|
Marked 1 switch rules as full_case in process $proc$hardware/v2/rtl/neural_processor.v:181$354 in module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.
|
|
Marked 1 switch rules as full_case in process $proc$hardware/v2/rtl/neural_processor.v:181$345 in module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.
|
|
Marked 2 switch rules as full_case in process $proc$hardware/v2/rtl/neural_processor.v:305$340 in module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.
|
|
Marked 2 switch rules as full_case in process $proc$hardware/v2/rtl/neural_processor.v:278$330 in module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.
|
|
Marked 1 switch rules as full_case in process $proc$hardware/v2/rtl/neural_processor.v:245$317 in module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.
|
|
Marked 2 switch rules as full_case in process $proc$hardware/v2/rtl/neural_processor.v:215$314 in module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.
|
|
Marked 1 switch rules as full_case in process $proc$hardware/v2/rtl/neural_processor.v:143$313 in module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.
|
|
Marked 2 switch rules as full_case in process $proc$hardware/v2/rtl/neural_processor.v:104$308 in module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.
|
|
Removed a total of 0 dead cases.
|
|
|
|
4.4.3. Executing PROC_PRUNE pass (remove redundant assignments in processes).
|
|
Removed 15 redundant assignments.
|
|
Promoted 25 assignments to connections.
|
|
|
|
4.4.4. Executing PROC_INIT pass (extract init attributes).
|
|
|
|
4.4.5. Executing PROC_ARST pass (detect async resets in processes).
|
|
|
|
4.4.6. Executing PROC_ROM pass (convert switches to ROMs).
|
|
Converted 0 switches.
|
|
<suppressed ~18 debug messages>
|
|
|
|
4.4.7. Executing PROC_MUX pass (convert decision trees to multiplexers).
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$385'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$384'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$383'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$382'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$381'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$380'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$379'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$378'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$376'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$374'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$372'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$370'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$368'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$366'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$364'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$362'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:196$360'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$359'.
|
|
1/2: $0\last_tree[2:2]
|
|
2/2: $0\valid_tree[2:2]
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:196$357'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:196$355'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$354'.
|
|
1/2: $0\last_tree[1:1]
|
|
2/2: $0\valid_tree[1:1]
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$352'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$350'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$348'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$346'.
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$345'.
|
|
1/2: $0\last_tree[0:0]
|
|
2/2: $0\valid_tree[0:0]
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:305$340'.
|
|
1/8: $0\node_id_reg[15:0]
|
|
2/8: $0\activation_reg[1:0]
|
|
3/8: $0\bias_reg[7:0]
|
|
4/8: $0\np_error[0:0]
|
|
5/8: $0\np_state[3:0]
|
|
6/8: $0\result_node_id[15:0]
|
|
7/8: $0\result_data[7:0]
|
|
8/8: $0\result_valid[0:0]
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:278$330'.
|
|
1/2: $0\valid7[0:0]
|
|
2/2: $0\y7[7:0]
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:245$317'.
|
|
1/3: $0\last6[0:0]
|
|
2/3: $0\valid6[0:0]
|
|
3/3: $0\final_acc_reg[31:0]
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:215$314'.
|
|
1/3: $0\last5[0:0]
|
|
2/3: $0\valid5[0:0]
|
|
3/3: $0\acc_reg[31:0]
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
1/11: $0\last1[0:0]
|
|
2/11: $0\valid1[0:0]
|
|
3/11: $4\gi[31:0]
|
|
4/11: $0\prod1[7][31:0]
|
|
5/11: $0\prod1[6][31:0]
|
|
6/11: $0\prod1[5][31:0]
|
|
7/11: $0\prod1[4][31:0]
|
|
8/11: $0\prod1[3][31:0]
|
|
9/11: $0\prod1[2][31:0]
|
|
10/11: $0\prod1[1][31:0]
|
|
11/11: $0\prod1[0][31:0]
|
|
Creating decoders for process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
1/20: $2\gi[31:0]
|
|
2/20: $0\last0[0:0]
|
|
3/20: $0\valid0[0:0]
|
|
4/20: $1\gi[31:0]
|
|
5/20: $0\w0[7][7:0]
|
|
6/20: $0\w0[6][7:0]
|
|
7/20: $0\w0[5][7:0]
|
|
8/20: $0\w0[4][7:0]
|
|
9/20: $0\w0[3][7:0]
|
|
10/20: $0\w0[2][7:0]
|
|
11/20: $0\w0[1][7:0]
|
|
12/20: $0\w0[0][7:0]
|
|
13/20: $0\x0[7][7:0]
|
|
14/20: $0\x0[6][7:0]
|
|
15/20: $0\x0[5][7:0]
|
|
16/20: $0\x0[4][7:0]
|
|
17/20: $0\x0[3][7:0]
|
|
18/20: $0\x0[2][7:0]
|
|
19/20: $0\x0[1][7:0]
|
|
20/20: $0\x0[0][7:0]
|
|
|
|
4.4.8. Executing PROC_DLATCH pass (convert process syncs to latches).
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\level0[7]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$385'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\level0[6]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$384'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\level0[5]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$383'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\level0[4]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$382'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\level0[3]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$381'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\level0[2]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$380'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\level0[1]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$379'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\level0[0]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$378'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\product_comb[7]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$376'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\product_comb[6]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$374'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\product_comb[5]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$372'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\product_comb[4]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$370'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\product_comb[3]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$368'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\product_comb[2]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$366'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\product_comb[1]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$364'.
|
|
No latch inferred for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\product_comb[0]' from process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$362'.
|
|
|
|
4.4.9. Executing PROC_DFF pass (convert process syncs to FFs).
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\tree[16]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:196$360'.
|
|
created $dff cell `$procdff$808' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\valid_tree [2]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$359'.
|
|
created $dff cell `$procdff$809' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\last_tree [2]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$359'.
|
|
created $dff cell `$procdff$810' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\tree[9]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:196$357'.
|
|
created $dff cell `$procdff$811' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\tree[8]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:196$355'.
|
|
created $dff cell `$procdff$812' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\valid_tree [1]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$354'.
|
|
created $dff cell `$procdff$813' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\last_tree [1]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$354'.
|
|
created $dff cell `$procdff$814' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\tree[3]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$352'.
|
|
created $dff cell `$procdff$815' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\tree[2]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$350'.
|
|
created $dff cell `$procdff$816' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\tree[1]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$348'.
|
|
created $dff cell `$procdff$817' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\tree[0]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$346'.
|
|
created $dff cell `$procdff$818' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\valid_tree [0]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$345'.
|
|
created $dff cell `$procdff$819' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\last_tree [0]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$345'.
|
|
created $dff cell `$procdff$820' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\result_valid' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:305$340'.
|
|
created $dff cell `$procdff$821' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\result_data' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:305$340'.
|
|
created $dff cell `$procdff$822' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\result_node_id' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:305$340'.
|
|
created $dff cell `$procdff$823' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\np_state' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:305$340'.
|
|
created $dff cell `$procdff$824' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\np_error' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:305$340'.
|
|
created $dff cell `$procdff$825' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\bias_reg' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:305$340'.
|
|
created $dff cell `$procdff$826' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\activation_reg' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:305$340'.
|
|
created $dff cell `$procdff$827' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\node_id_reg' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:305$340'.
|
|
created $dff cell `$procdff$828' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\valid7' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:278$330'.
|
|
created $dff cell `$procdff$829' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\y7' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:278$330'.
|
|
created $dff cell `$procdff$830' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\valid6' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:245$317'.
|
|
created $dff cell `$procdff$831' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\last6' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:245$317'.
|
|
created $dff cell `$procdff$832' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\final_acc_reg' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:245$317'.
|
|
created $dff cell `$procdff$833' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\acc_reg' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:215$314'.
|
|
created $dff cell `$procdff$834' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\valid5' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:215$314'.
|
|
created $dff cell `$procdff$835' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\last5' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:215$314'.
|
|
created $dff cell `$procdff$836' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
created $dff cell `$procdff$837' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\valid1' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
created $dff cell `$procdff$838' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\last1' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
created $dff cell `$procdff$839' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\prod1[0]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
created $dff cell `$procdff$840' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\prod1[1]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
created $dff cell `$procdff$841' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\prod1[2]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
created $dff cell `$procdff$842' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\prod1[3]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
created $dff cell `$procdff$843' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\prod1[4]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
created $dff cell `$procdff$844' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\prod1[5]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
created $dff cell `$procdff$845' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\prod1[6]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
created $dff cell `$procdff$846' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\prod1[7]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
created $dff cell `$procdff$847' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\valid0' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$848' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\last0' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$849' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$850' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\x0[0]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$851' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\x0[1]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$852' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\x0[2]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$853' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\x0[3]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$854' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\x0[4]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$855' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\x0[5]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$856' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\x0[6]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$857' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\x0[7]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$858' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\w0[0]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$859' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\w0[1]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$860' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\w0[2]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$861' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\w0[3]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$862' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\w0[4]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$863' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\w0[5]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$864' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\w0[6]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$865' with positive edge clock.
|
|
Creating register for signal `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\w0[7]' using process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
created $dff cell `$procdff$866' with positive edge clock.
|
|
|
|
4.4.10. Executing PROC_MEMWR pass (convert process memory writes to cells).
|
|
|
|
4.4.11. Executing PROC_CLEAN pass (remove empty switches from decision trees).
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$385'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$384'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$383'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$382'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$381'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$380'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$379'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:170$378'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$376'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$374'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$372'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$370'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$368'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$366'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$364'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:139$362'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:196$360'.
|
|
Found and cleaned up 1 empty switch in `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$359'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$359'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:196$357'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:196$355'.
|
|
Found and cleaned up 1 empty switch in `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$354'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$354'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$352'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$350'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$348'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:192$346'.
|
|
Found and cleaned up 1 empty switch in `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$345'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:181$345'.
|
|
Found and cleaned up 6 empty switches in `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:305$340'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:305$340'.
|
|
Found and cleaned up 2 empty switches in `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:278$330'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:278$330'.
|
|
Found and cleaned up 1 empty switch in `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:245$317'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:245$317'.
|
|
Found and cleaned up 3 empty switches in `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:215$314'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:215$314'.
|
|
Found and cleaned up 1 empty switch in `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:143$313'.
|
|
Found and cleaned up 2 empty switches in `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
Removing empty process `$paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.$proc$hardware/v2/rtl/neural_processor.v:104$308'.
|
|
Cleaned up 18 empty switches.
|
|
|
|
4.4.12. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.
|
|
<suppressed ~7 debug messages>
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.5. Executing CHECK pass (checking for obvious problems).
|
|
Checking module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor...
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [31]:
|
|
port Q[31] of cell $procdff$850 ($dff)
|
|
port Q[31] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [30]:
|
|
port Q[30] of cell $procdff$850 ($dff)
|
|
port Q[30] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [29]:
|
|
port Q[29] of cell $procdff$850 ($dff)
|
|
port Q[29] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [28]:
|
|
port Q[28] of cell $procdff$850 ($dff)
|
|
port Q[28] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [27]:
|
|
port Q[27] of cell $procdff$850 ($dff)
|
|
port Q[27] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [26]:
|
|
port Q[26] of cell $procdff$850 ($dff)
|
|
port Q[26] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [25]:
|
|
port Q[25] of cell $procdff$850 ($dff)
|
|
port Q[25] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [24]:
|
|
port Q[24] of cell $procdff$850 ($dff)
|
|
port Q[24] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [23]:
|
|
port Q[23] of cell $procdff$850 ($dff)
|
|
port Q[23] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [22]:
|
|
port Q[22] of cell $procdff$850 ($dff)
|
|
port Q[22] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [21]:
|
|
port Q[21] of cell $procdff$850 ($dff)
|
|
port Q[21] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [20]:
|
|
port Q[20] of cell $procdff$850 ($dff)
|
|
port Q[20] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [19]:
|
|
port Q[19] of cell $procdff$850 ($dff)
|
|
port Q[19] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [18]:
|
|
port Q[18] of cell $procdff$850 ($dff)
|
|
port Q[18] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [17]:
|
|
port Q[17] of cell $procdff$850 ($dff)
|
|
port Q[17] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [16]:
|
|
port Q[16] of cell $procdff$850 ($dff)
|
|
port Q[16] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [15]:
|
|
port Q[15] of cell $procdff$850 ($dff)
|
|
port Q[15] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [14]:
|
|
port Q[14] of cell $procdff$850 ($dff)
|
|
port Q[14] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [13]:
|
|
port Q[13] of cell $procdff$850 ($dff)
|
|
port Q[13] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [12]:
|
|
port Q[12] of cell $procdff$850 ($dff)
|
|
port Q[12] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [11]:
|
|
port Q[11] of cell $procdff$850 ($dff)
|
|
port Q[11] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [10]:
|
|
port Q[10] of cell $procdff$850 ($dff)
|
|
port Q[10] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [9]:
|
|
port Q[9] of cell $procdff$850 ($dff)
|
|
port Q[9] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [8]:
|
|
port Q[8] of cell $procdff$850 ($dff)
|
|
port Q[8] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [7]:
|
|
port Q[7] of cell $procdff$850 ($dff)
|
|
port Q[7] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [6]:
|
|
port Q[6] of cell $procdff$850 ($dff)
|
|
port Q[6] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [5]:
|
|
port Q[5] of cell $procdff$850 ($dff)
|
|
port Q[5] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [4]:
|
|
port Q[4] of cell $procdff$850 ($dff)
|
|
port Q[4] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [3]:
|
|
port Q[3] of cell $procdff$850 ($dff)
|
|
port Q[3] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [2]:
|
|
port Q[2] of cell $procdff$850 ($dff)
|
|
port Q[2] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [1]:
|
|
port Q[1] of cell $procdff$850 ($dff)
|
|
port Q[1] of cell $procdff$837 ($dff)
|
|
Warning: multiple conflicting drivers for $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.\gi [0]:
|
|
port Q[0] of cell $procdff$850 ($dff)
|
|
port Q[0] of cell $procdff$837 ($dff)
|
|
Checking module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000...
|
|
Found and reported 32 problems.
|
|
|
|
4.6. Executing FLATTEN pass (flatten design).
|
|
Deleting now unused module $paramod$c0193c7ec190759e8025e35dead4531c56eb80a9\neural_processor.
|
|
<suppressed ~8 debug messages>
|
|
|
|
4.7. Executing TRIBUF pass.
|
|
|
|
4.8. Executing DEMINOUT pass (demote inout ports to input or output).
|
|
|
|
4.9. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.10. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Removed 48 unused cells and 1728 unused wires.
|
|
<suppressed ~193 debug messages>
|
|
|
|
4.11. Executing CHECK pass (checking for obvious problems).
|
|
Checking module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000...
|
|
Found and reported 0 problems.
|
|
|
|
4.12. Executing OPT pass (performing simple optimizations).
|
|
|
|
4.12.1. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.12.2. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1656 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1552 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
<suppressed ~312 debug messages>
|
|
Removed a total of 104 cells.
|
|
|
|
4.12.3. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
Evaluating internal representation of mux trees.
|
|
Analyzing evaluation results.
|
|
Removed 0 multiplexer ports.
|
|
<suppressed ~1136 debug messages>
|
|
|
|
4.12.4. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 0 changes.
|
|
|
|
4.12.5. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1552 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.12.6. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.12.7. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Removed 0 unused cells and 104 unused wires.
|
|
<suppressed ~1 debug messages>
|
|
|
|
4.12.8. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.12.9. Rerunning OPT passes. (Maybe there is more to do..)
|
|
|
|
4.12.10. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
Evaluating internal representation of mux trees.
|
|
Analyzing evaluation results.
|
|
Removed 0 multiplexer ports.
|
|
<suppressed ~1136 debug messages>
|
|
|
|
4.12.11. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 0 changes.
|
|
|
|
4.12.12. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1552 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.12.13. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.12.14. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.12.15. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.12.16. Finished fast OPT passes. (There is nothing left to do.)
|
|
|
|
4.13. Executing FSM pass (extract and optimize FSM).
|
|
|
|
4.13.1. Executing FSM_DETECT pass (finding FSMs in design).
|
|
Not marking $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.GEN_NP[5].u_np.np_state as FSM state register:
|
|
Register is connected to module port.
|
|
Users of register don't seem to benefit from recoding.
|
|
Not marking $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.GEN_NP[2].u_np.np_state as FSM state register:
|
|
Register is connected to module port.
|
|
Users of register don't seem to benefit from recoding.
|
|
Not marking $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.GEN_NP[1].u_np.np_state as FSM state register:
|
|
Register is connected to module port.
|
|
Users of register don't seem to benefit from recoding.
|
|
Not marking $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.GEN_NP[6].u_np.np_state as FSM state register:
|
|
Register is connected to module port.
|
|
Users of register don't seem to benefit from recoding.
|
|
Not marking $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.GEN_NP[4].u_np.np_state as FSM state register:
|
|
Register is connected to module port.
|
|
Users of register don't seem to benefit from recoding.
|
|
Not marking $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.GEN_NP[0].u_np.np_state as FSM state register:
|
|
Register is connected to module port.
|
|
Users of register don't seem to benefit from recoding.
|
|
Not marking $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.GEN_NP[3].u_np.np_state as FSM state register:
|
|
Register is connected to module port.
|
|
Users of register don't seem to benefit from recoding.
|
|
Not marking $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.GEN_NP[7].u_np.np_state as FSM state register:
|
|
Register is connected to module port.
|
|
Users of register don't seem to benefit from recoding.
|
|
|
|
4.13.2. Executing FSM_EXTRACT pass (extracting FSM from design).
|
|
|
|
4.13.3. Executing FSM_OPT pass (simple optimizations of FSMs).
|
|
|
|
4.13.4. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.13.5. Executing FSM_OPT pass (simple optimizations of FSMs).
|
|
|
|
4.13.6. Executing FSM_RECODE pass (re-assigning FSM state encoding).
|
|
|
|
4.13.7. Executing FSM_INFO pass (dumping all available information on FSM cells).
|
|
|
|
4.13.8. Executing FSM_MAP pass (mapping FSMs to basic logic).
|
|
|
|
4.14. Executing OPT pass (performing simple optimizations).
|
|
|
|
4.14.1. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.14.2. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1552 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.14.3. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
Evaluating internal representation of mux trees.
|
|
Analyzing evaluation results.
|
|
Removed 0 multiplexer ports.
|
|
<suppressed ~1136 debug messages>
|
|
|
|
4.14.4. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 0 changes.
|
|
|
|
4.14.5. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1552 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
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4.14.6. Executing OPT_DFF pass (perform DFF optimizations).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$866 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [63:56], Q = \GEN_NP[0].u_np.w0[7]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$865 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [55:48], Q = \GEN_NP[0].u_np.w0[6]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$864 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [47:40], Q = \GEN_NP[0].u_np.w0[5]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$863 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [39:32], Q = \GEN_NP[0].u_np.w0[4]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$862 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [31:24], Q = \GEN_NP[0].u_np.w0[3]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$861 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [23:16], Q = \GEN_NP[0].u_np.w0[2]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$860 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [15:8], Q = \GEN_NP[0].u_np.w0[1]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$859 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [7:0], Q = \GEN_NP[0].u_np.w0[0]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$858 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [63:56], Q = \GEN_NP[0].u_np.x0[7]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$857 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [55:48], Q = \GEN_NP[0].u_np.x0[6]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$856 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [47:40], Q = \GEN_NP[0].u_np.x0[5]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$855 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [39:32], Q = \GEN_NP[0].u_np.x0[4]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$854 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [31:24], Q = \GEN_NP[0].u_np.x0[3]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$853 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [23:16], Q = \GEN_NP[0].u_np.x0[2]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$852 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [15:8], Q = \GEN_NP[0].u_np.x0[1]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$851 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [7:0], Q = \GEN_NP[0].u_np.x0[0]).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$849 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \tile_last [0], Q = \GEN_NP[0].u_np.last0, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$848 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$logic_and$hardware/v2/rtl/neural_processor.v:109$309_Y, Q = \GEN_NP[0].u_np.valid0, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$847 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] [15] \GEN_NP[0].u_np.product_comb[7] }, Q = \GEN_NP[0].u_np.prod1[7]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$846 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] [15] \GEN_NP[0].u_np.product_comb[6] }, Q = \GEN_NP[0].u_np.prod1[6]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$845 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] [15] \GEN_NP[0].u_np.product_comb[5] }, Q = \GEN_NP[0].u_np.prod1[5]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$844 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] [15] \GEN_NP[0].u_np.product_comb[4] }, Q = \GEN_NP[0].u_np.prod1[4]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$843 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] [15] \GEN_NP[0].u_np.product_comb[3] }, Q = \GEN_NP[0].u_np.prod1[3]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$842 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] [15] \GEN_NP[0].u_np.product_comb[2] }, Q = \GEN_NP[0].u_np.prod1[2]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$841 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] [15] \GEN_NP[0].u_np.product_comb[1] }, Q = \GEN_NP[0].u_np.prod1[1]).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$840 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] [15] \GEN_NP[0].u_np.product_comb[0] }, Q = \GEN_NP[0].u_np.prod1[0]).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$839 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.last0, Q = \GEN_NP[0].u_np.last1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$838 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.valid0, Q = \GEN_NP[0].u_np.valid1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$836 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.last_tree [2], Q = \GEN_NP[0].u_np.last5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$835 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.valid_tree [2], Q = \GEN_NP[0].u_np.valid5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$834 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$procmux$656_Y, Q = \GEN_NP[0].u_np.acc_reg, rval = 0).
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Adding EN signal on $auto$ff.cc:337:slice$973 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316_Y, Q = \GEN_NP[0].u_np.acc_reg).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$833 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318_Y, Q = \GEN_NP[0].u_np.final_acc_reg).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$832 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.last5, Q = \GEN_NP[0].u_np.last6, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$831 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.valid5, Q = \GEN_NP[0].u_np.valid6, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$830 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$procmux$636_Y, Q = \GEN_NP[0].u_np.y7).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$829 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.last6, Q = \GEN_NP[0].u_np.valid7, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$828 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$procmux$541_Y, Q = \GEN_NP[0].u_np.node_id_reg, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$982 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_node_id [15:0], Q = \GEN_NP[0].u_np.node_id_reg).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$827 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$procmux$555_Y, Q = \GEN_NP[0].u_np.activation_reg, rval = 2'01).
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Adding EN signal on $auto$ff.cc:337:slice$986 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_activation [1:0], Q = \GEN_NP[0].u_np.activation_reg).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$826 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$procmux$569_Y, Q = \GEN_NP[0].u_np.bias_reg, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$990 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_bias [7:0], Q = \GEN_NP[0].u_np.bias_reg).
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Adding EN signal on $flatten\GEN_NP[0].u_np.$procdff$825 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = 1'0, Q = \GEN_NP[0].u_np.np_error).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$824 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$procmux$578_Y, Q = \GEN_NP[0].u_np.np_state, rval = 4'0000).
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Adding EN signal on $auto$ff.cc:337:slice$995 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$procmux$578_Y, Q = \GEN_NP[0].u_np.np_state).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$823 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$procmux$603_Y, Q = \GEN_NP[0].u_np.result_node_id, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1009 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.node_id_reg, Q = \GEN_NP[0].u_np.result_node_id).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$822 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$procmux$614_Y, Q = \GEN_NP[0].u_np.result_data, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1013 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.y7, Q = \GEN_NP[0].u_np.result_data).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$821 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$procmux$624_Y, Q = \GEN_NP[0].u_np.result_valid, rval = 1'0).
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Adding EN signal on $auto$ff.cc:337:slice$1017 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[0].u_np.$procmux$624_Y, Q = \GEN_NP[0].u_np.result_valid).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$820 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.last1, Q = \GEN_NP[0].u_np.last_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$819 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.valid1, Q = \GEN_NP[0].u_np.valid_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$814 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.last_tree [0], Q = \GEN_NP[0].u_np.last_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$813 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.valid_tree [0], Q = \GEN_NP[0].u_np.valid_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$810 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.last_tree [1], Q = \GEN_NP[0].u_np.last_tree [2], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[0].u_np.$procdff$809 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[0].u_np.valid_tree [1], Q = \GEN_NP[0].u_np.valid_tree [2], rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$866 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [127:120], Q = \GEN_NP[1].u_np.w0[7]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$865 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [119:112], Q = \GEN_NP[1].u_np.w0[6]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$864 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [111:104], Q = \GEN_NP[1].u_np.w0[5]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$863 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [103:96], Q = \GEN_NP[1].u_np.w0[4]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$862 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [95:88], Q = \GEN_NP[1].u_np.w0[3]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$861 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [87:80], Q = \GEN_NP[1].u_np.w0[2]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$860 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [79:72], Q = \GEN_NP[1].u_np.w0[1]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$859 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [71:64], Q = \GEN_NP[1].u_np.w0[0]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$858 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [127:120], Q = \GEN_NP[1].u_np.x0[7]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$857 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [119:112], Q = \GEN_NP[1].u_np.x0[6]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$856 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [111:104], Q = \GEN_NP[1].u_np.x0[5]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$855 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [103:96], Q = \GEN_NP[1].u_np.x0[4]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$854 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [95:88], Q = \GEN_NP[1].u_np.x0[3]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$853 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [87:80], Q = \GEN_NP[1].u_np.x0[2]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$852 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [79:72], Q = \GEN_NP[1].u_np.x0[1]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$851 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [71:64], Q = \GEN_NP[1].u_np.x0[0]).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$849 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \tile_last [1], Q = \GEN_NP[1].u_np.last0, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$848 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$logic_and$hardware/v2/rtl/neural_processor.v:109$309_Y, Q = \GEN_NP[1].u_np.valid0, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$847 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] [15] \GEN_NP[1].u_np.product_comb[7] }, Q = \GEN_NP[1].u_np.prod1[7]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$846 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] [15] \GEN_NP[1].u_np.product_comb[6] }, Q = \GEN_NP[1].u_np.prod1[6]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$845 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] [15] \GEN_NP[1].u_np.product_comb[5] }, Q = \GEN_NP[1].u_np.prod1[5]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$844 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] [15] \GEN_NP[1].u_np.product_comb[4] }, Q = \GEN_NP[1].u_np.prod1[4]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$843 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] [15] \GEN_NP[1].u_np.product_comb[3] }, Q = \GEN_NP[1].u_np.prod1[3]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$842 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] [15] \GEN_NP[1].u_np.product_comb[2] }, Q = \GEN_NP[1].u_np.prod1[2]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$841 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] [15] \GEN_NP[1].u_np.product_comb[1] }, Q = \GEN_NP[1].u_np.prod1[1]).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$840 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] [15] \GEN_NP[1].u_np.product_comb[0] }, Q = \GEN_NP[1].u_np.prod1[0]).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$839 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.last0, Q = \GEN_NP[1].u_np.last1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$838 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.valid0, Q = \GEN_NP[1].u_np.valid1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$836 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.last_tree [2], Q = \GEN_NP[1].u_np.last5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$835 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.valid_tree [2], Q = \GEN_NP[1].u_np.valid5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$834 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$procmux$656_Y, Q = \GEN_NP[1].u_np.acc_reg, rval = 0).
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Adding EN signal on $auto$ff.cc:337:slice$1131 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316_Y, Q = \GEN_NP[1].u_np.acc_reg).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$833 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318_Y, Q = \GEN_NP[1].u_np.final_acc_reg).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$832 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.last5, Q = \GEN_NP[1].u_np.last6, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$831 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.valid5, Q = \GEN_NP[1].u_np.valid6, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$830 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$procmux$636_Y, Q = \GEN_NP[1].u_np.y7).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$829 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.last6, Q = \GEN_NP[1].u_np.valid7, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$828 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$procmux$541_Y, Q = \GEN_NP[1].u_np.node_id_reg, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1140 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_node_id [31:16], Q = \GEN_NP[1].u_np.node_id_reg).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$827 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$procmux$555_Y, Q = \GEN_NP[1].u_np.activation_reg, rval = 2'01).
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Adding EN signal on $auto$ff.cc:337:slice$1144 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_activation [3:2], Q = \GEN_NP[1].u_np.activation_reg).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$826 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$procmux$569_Y, Q = \GEN_NP[1].u_np.bias_reg, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1148 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_bias [15:8], Q = \GEN_NP[1].u_np.bias_reg).
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Adding EN signal on $flatten\GEN_NP[1].u_np.$procdff$825 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = 1'0, Q = \GEN_NP[1].u_np.np_error).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$824 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$procmux$578_Y, Q = \GEN_NP[1].u_np.np_state, rval = 4'0000).
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Adding EN signal on $auto$ff.cc:337:slice$1153 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$procmux$578_Y, Q = \GEN_NP[1].u_np.np_state).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$823 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$procmux$603_Y, Q = \GEN_NP[1].u_np.result_node_id, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1167 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.node_id_reg, Q = \GEN_NP[1].u_np.result_node_id).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$822 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$procmux$614_Y, Q = \GEN_NP[1].u_np.result_data, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1171 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.y7, Q = \GEN_NP[1].u_np.result_data).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$821 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$procmux$624_Y, Q = \GEN_NP[1].u_np.result_valid, rval = 1'0).
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Adding EN signal on $auto$ff.cc:337:slice$1175 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[1].u_np.$procmux$624_Y, Q = \GEN_NP[1].u_np.result_valid).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$820 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.last1, Q = \GEN_NP[1].u_np.last_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$819 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.valid1, Q = \GEN_NP[1].u_np.valid_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$814 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.last_tree [0], Q = \GEN_NP[1].u_np.last_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$813 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.valid_tree [0], Q = \GEN_NP[1].u_np.valid_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$810 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.last_tree [1], Q = \GEN_NP[1].u_np.last_tree [2], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[1].u_np.$procdff$809 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[1].u_np.valid_tree [1], Q = \GEN_NP[1].u_np.valid_tree [2], rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$866 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [191:184], Q = \GEN_NP[2].u_np.w0[7]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$865 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [183:176], Q = \GEN_NP[2].u_np.w0[6]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$864 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [175:168], Q = \GEN_NP[2].u_np.w0[5]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$863 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [167:160], Q = \GEN_NP[2].u_np.w0[4]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$862 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [159:152], Q = \GEN_NP[2].u_np.w0[3]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$861 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [151:144], Q = \GEN_NP[2].u_np.w0[2]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$860 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [143:136], Q = \GEN_NP[2].u_np.w0[1]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$859 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [135:128], Q = \GEN_NP[2].u_np.w0[0]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$858 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [191:184], Q = \GEN_NP[2].u_np.x0[7]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$857 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [183:176], Q = \GEN_NP[2].u_np.x0[6]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$856 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [175:168], Q = \GEN_NP[2].u_np.x0[5]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$855 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [167:160], Q = \GEN_NP[2].u_np.x0[4]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$854 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [159:152], Q = \GEN_NP[2].u_np.x0[3]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$853 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [151:144], Q = \GEN_NP[2].u_np.x0[2]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$852 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [143:136], Q = \GEN_NP[2].u_np.x0[1]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$851 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [135:128], Q = \GEN_NP[2].u_np.x0[0]).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$849 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \tile_last [2], Q = \GEN_NP[2].u_np.last0, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$848 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$logic_and$hardware/v2/rtl/neural_processor.v:109$309_Y, Q = \GEN_NP[2].u_np.valid0, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$847 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] [15] \GEN_NP[2].u_np.product_comb[7] }, Q = \GEN_NP[2].u_np.prod1[7]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$846 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] [15] \GEN_NP[2].u_np.product_comb[6] }, Q = \GEN_NP[2].u_np.prod1[6]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$845 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] [15] \GEN_NP[2].u_np.product_comb[5] }, Q = \GEN_NP[2].u_np.prod1[5]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$844 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] [15] \GEN_NP[2].u_np.product_comb[4] }, Q = \GEN_NP[2].u_np.prod1[4]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$843 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] [15] \GEN_NP[2].u_np.product_comb[3] }, Q = \GEN_NP[2].u_np.prod1[3]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$842 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] [15] \GEN_NP[2].u_np.product_comb[2] }, Q = \GEN_NP[2].u_np.prod1[2]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$841 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] [15] \GEN_NP[2].u_np.product_comb[1] }, Q = \GEN_NP[2].u_np.prod1[1]).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$840 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] [15] \GEN_NP[2].u_np.product_comb[0] }, Q = \GEN_NP[2].u_np.prod1[0]).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$839 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.last0, Q = \GEN_NP[2].u_np.last1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$838 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.valid0, Q = \GEN_NP[2].u_np.valid1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$836 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.last_tree [2], Q = \GEN_NP[2].u_np.last5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$835 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.valid_tree [2], Q = \GEN_NP[2].u_np.valid5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$834 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$procmux$656_Y, Q = \GEN_NP[2].u_np.acc_reg, rval = 0).
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Adding EN signal on $auto$ff.cc:337:slice$1289 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316_Y, Q = \GEN_NP[2].u_np.acc_reg).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$833 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318_Y, Q = \GEN_NP[2].u_np.final_acc_reg).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$832 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.last5, Q = \GEN_NP[2].u_np.last6, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$831 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.valid5, Q = \GEN_NP[2].u_np.valid6, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$830 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$procmux$636_Y, Q = \GEN_NP[2].u_np.y7).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$829 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.last6, Q = \GEN_NP[2].u_np.valid7, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$828 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$procmux$541_Y, Q = \GEN_NP[2].u_np.node_id_reg, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1298 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_node_id [47:32], Q = \GEN_NP[2].u_np.node_id_reg).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$827 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$procmux$555_Y, Q = \GEN_NP[2].u_np.activation_reg, rval = 2'01).
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Adding EN signal on $auto$ff.cc:337:slice$1302 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_activation [5:4], Q = \GEN_NP[2].u_np.activation_reg).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$826 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$procmux$569_Y, Q = \GEN_NP[2].u_np.bias_reg, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1306 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_bias [23:16], Q = \GEN_NP[2].u_np.bias_reg).
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Adding EN signal on $flatten\GEN_NP[2].u_np.$procdff$825 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = 1'0, Q = \GEN_NP[2].u_np.np_error).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$824 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$procmux$578_Y, Q = \GEN_NP[2].u_np.np_state, rval = 4'0000).
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Adding EN signal on $auto$ff.cc:337:slice$1311 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$procmux$578_Y, Q = \GEN_NP[2].u_np.np_state).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$823 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$procmux$603_Y, Q = \GEN_NP[2].u_np.result_node_id, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1325 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.node_id_reg, Q = \GEN_NP[2].u_np.result_node_id).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$822 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$procmux$614_Y, Q = \GEN_NP[2].u_np.result_data, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1329 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.y7, Q = \GEN_NP[2].u_np.result_data).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$821 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$procmux$624_Y, Q = \GEN_NP[2].u_np.result_valid, rval = 1'0).
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Adding EN signal on $auto$ff.cc:337:slice$1333 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[2].u_np.$procmux$624_Y, Q = \GEN_NP[2].u_np.result_valid).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$820 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.last1, Q = \GEN_NP[2].u_np.last_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$819 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.valid1, Q = \GEN_NP[2].u_np.valid_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$814 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.last_tree [0], Q = \GEN_NP[2].u_np.last_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$813 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.valid_tree [0], Q = \GEN_NP[2].u_np.valid_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$810 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.last_tree [1], Q = \GEN_NP[2].u_np.last_tree [2], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[2].u_np.$procdff$809 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[2].u_np.valid_tree [1], Q = \GEN_NP[2].u_np.valid_tree [2], rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$866 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [255:248], Q = \GEN_NP[3].u_np.w0[7]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$865 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [247:240], Q = \GEN_NP[3].u_np.w0[6]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$864 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [239:232], Q = \GEN_NP[3].u_np.w0[5]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$863 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [231:224], Q = \GEN_NP[3].u_np.w0[4]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$862 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [223:216], Q = \GEN_NP[3].u_np.w0[3]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$861 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [215:208], Q = \GEN_NP[3].u_np.w0[2]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$860 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [207:200], Q = \GEN_NP[3].u_np.w0[1]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$859 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [199:192], Q = \GEN_NP[3].u_np.w0[0]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$858 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [255:248], Q = \GEN_NP[3].u_np.x0[7]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$857 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [247:240], Q = \GEN_NP[3].u_np.x0[6]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$856 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [239:232], Q = \GEN_NP[3].u_np.x0[5]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$855 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [231:224], Q = \GEN_NP[3].u_np.x0[4]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$854 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [223:216], Q = \GEN_NP[3].u_np.x0[3]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$853 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [215:208], Q = \GEN_NP[3].u_np.x0[2]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$852 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [207:200], Q = \GEN_NP[3].u_np.x0[1]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$851 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [199:192], Q = \GEN_NP[3].u_np.x0[0]).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$849 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \tile_last [3], Q = \GEN_NP[3].u_np.last0, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$848 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$logic_and$hardware/v2/rtl/neural_processor.v:109$309_Y, Q = \GEN_NP[3].u_np.valid0, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$847 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] [15] \GEN_NP[3].u_np.product_comb[7] }, Q = \GEN_NP[3].u_np.prod1[7]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$846 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] [15] \GEN_NP[3].u_np.product_comb[6] }, Q = \GEN_NP[3].u_np.prod1[6]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$845 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] [15] \GEN_NP[3].u_np.product_comb[5] }, Q = \GEN_NP[3].u_np.prod1[5]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$844 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] [15] \GEN_NP[3].u_np.product_comb[4] }, Q = \GEN_NP[3].u_np.prod1[4]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$843 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] [15] \GEN_NP[3].u_np.product_comb[3] }, Q = \GEN_NP[3].u_np.prod1[3]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$842 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] [15] \GEN_NP[3].u_np.product_comb[2] }, Q = \GEN_NP[3].u_np.prod1[2]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$841 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] [15] \GEN_NP[3].u_np.product_comb[1] }, Q = \GEN_NP[3].u_np.prod1[1]).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$840 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] [15] \GEN_NP[3].u_np.product_comb[0] }, Q = \GEN_NP[3].u_np.prod1[0]).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$839 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.last0, Q = \GEN_NP[3].u_np.last1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$838 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.valid0, Q = \GEN_NP[3].u_np.valid1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$836 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.last_tree [2], Q = \GEN_NP[3].u_np.last5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$835 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.valid_tree [2], Q = \GEN_NP[3].u_np.valid5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$834 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$procmux$656_Y, Q = \GEN_NP[3].u_np.acc_reg, rval = 0).
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Adding EN signal on $auto$ff.cc:337:slice$1447 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316_Y, Q = \GEN_NP[3].u_np.acc_reg).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$833 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318_Y, Q = \GEN_NP[3].u_np.final_acc_reg).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$832 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.last5, Q = \GEN_NP[3].u_np.last6, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$831 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.valid5, Q = \GEN_NP[3].u_np.valid6, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$830 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$procmux$636_Y, Q = \GEN_NP[3].u_np.y7).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$829 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.last6, Q = \GEN_NP[3].u_np.valid7, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$828 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$procmux$541_Y, Q = \GEN_NP[3].u_np.node_id_reg, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1456 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_node_id [63:48], Q = \GEN_NP[3].u_np.node_id_reg).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$827 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$procmux$555_Y, Q = \GEN_NP[3].u_np.activation_reg, rval = 2'01).
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Adding EN signal on $auto$ff.cc:337:slice$1460 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_activation [7:6], Q = \GEN_NP[3].u_np.activation_reg).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$826 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$procmux$569_Y, Q = \GEN_NP[3].u_np.bias_reg, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1464 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_bias [31:24], Q = \GEN_NP[3].u_np.bias_reg).
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Adding EN signal on $flatten\GEN_NP[3].u_np.$procdff$825 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = 1'0, Q = \GEN_NP[3].u_np.np_error).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$824 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$procmux$578_Y, Q = \GEN_NP[3].u_np.np_state, rval = 4'0000).
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Adding EN signal on $auto$ff.cc:337:slice$1469 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$procmux$578_Y, Q = \GEN_NP[3].u_np.np_state).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$823 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$procmux$603_Y, Q = \GEN_NP[3].u_np.result_node_id, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1483 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.node_id_reg, Q = \GEN_NP[3].u_np.result_node_id).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$822 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$procmux$614_Y, Q = \GEN_NP[3].u_np.result_data, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1487 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.y7, Q = \GEN_NP[3].u_np.result_data).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$821 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$procmux$624_Y, Q = \GEN_NP[3].u_np.result_valid, rval = 1'0).
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Adding EN signal on $auto$ff.cc:337:slice$1491 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[3].u_np.$procmux$624_Y, Q = \GEN_NP[3].u_np.result_valid).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$820 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.last1, Q = \GEN_NP[3].u_np.last_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$819 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.valid1, Q = \GEN_NP[3].u_np.valid_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$814 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.last_tree [0], Q = \GEN_NP[3].u_np.last_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$813 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.valid_tree [0], Q = \GEN_NP[3].u_np.valid_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$810 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.last_tree [1], Q = \GEN_NP[3].u_np.last_tree [2], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[3].u_np.$procdff$809 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[3].u_np.valid_tree [1], Q = \GEN_NP[3].u_np.valid_tree [2], rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$866 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [319:312], Q = \GEN_NP[4].u_np.w0[7]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$865 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [311:304], Q = \GEN_NP[4].u_np.w0[6]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$864 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [303:296], Q = \GEN_NP[4].u_np.w0[5]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$863 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [295:288], Q = \GEN_NP[4].u_np.w0[4]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$862 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [287:280], Q = \GEN_NP[4].u_np.w0[3]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$861 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [279:272], Q = \GEN_NP[4].u_np.w0[2]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$860 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [271:264], Q = \GEN_NP[4].u_np.w0[1]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$859 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [263:256], Q = \GEN_NP[4].u_np.w0[0]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$858 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [319:312], Q = \GEN_NP[4].u_np.x0[7]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$857 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [311:304], Q = \GEN_NP[4].u_np.x0[6]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$856 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [303:296], Q = \GEN_NP[4].u_np.x0[5]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$855 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [295:288], Q = \GEN_NP[4].u_np.x0[4]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$854 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [287:280], Q = \GEN_NP[4].u_np.x0[3]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$853 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [279:272], Q = \GEN_NP[4].u_np.x0[2]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$852 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [271:264], Q = \GEN_NP[4].u_np.x0[1]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$851 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [263:256], Q = \GEN_NP[4].u_np.x0[0]).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$849 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \tile_last [4], Q = \GEN_NP[4].u_np.last0, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$848 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$logic_and$hardware/v2/rtl/neural_processor.v:109$309_Y, Q = \GEN_NP[4].u_np.valid0, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$847 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] [15] \GEN_NP[4].u_np.product_comb[7] }, Q = \GEN_NP[4].u_np.prod1[7]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$846 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] [15] \GEN_NP[4].u_np.product_comb[6] }, Q = \GEN_NP[4].u_np.prod1[6]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$845 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] [15] \GEN_NP[4].u_np.product_comb[5] }, Q = \GEN_NP[4].u_np.prod1[5]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$844 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] [15] \GEN_NP[4].u_np.product_comb[4] }, Q = \GEN_NP[4].u_np.prod1[4]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$843 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] [15] \GEN_NP[4].u_np.product_comb[3] }, Q = \GEN_NP[4].u_np.prod1[3]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$842 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] [15] \GEN_NP[4].u_np.product_comb[2] }, Q = \GEN_NP[4].u_np.prod1[2]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$841 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] [15] \GEN_NP[4].u_np.product_comb[1] }, Q = \GEN_NP[4].u_np.prod1[1]).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$840 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] [15] \GEN_NP[4].u_np.product_comb[0] }, Q = \GEN_NP[4].u_np.prod1[0]).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$839 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.last0, Q = \GEN_NP[4].u_np.last1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$838 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.valid0, Q = \GEN_NP[4].u_np.valid1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$836 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.last_tree [2], Q = \GEN_NP[4].u_np.last5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$835 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.valid_tree [2], Q = \GEN_NP[4].u_np.valid5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$834 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$procmux$656_Y, Q = \GEN_NP[4].u_np.acc_reg, rval = 0).
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Adding EN signal on $auto$ff.cc:337:slice$1605 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316_Y, Q = \GEN_NP[4].u_np.acc_reg).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$833 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318_Y, Q = \GEN_NP[4].u_np.final_acc_reg).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$832 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.last5, Q = \GEN_NP[4].u_np.last6, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$831 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.valid5, Q = \GEN_NP[4].u_np.valid6, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$830 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$procmux$636_Y, Q = \GEN_NP[4].u_np.y7).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$829 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.last6, Q = \GEN_NP[4].u_np.valid7, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$828 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$procmux$541_Y, Q = \GEN_NP[4].u_np.node_id_reg, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1614 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_node_id [79:64], Q = \GEN_NP[4].u_np.node_id_reg).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$827 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$procmux$555_Y, Q = \GEN_NP[4].u_np.activation_reg, rval = 2'01).
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Adding EN signal on $auto$ff.cc:337:slice$1618 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_activation [9:8], Q = \GEN_NP[4].u_np.activation_reg).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$826 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$procmux$569_Y, Q = \GEN_NP[4].u_np.bias_reg, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1622 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_bias [39:32], Q = \GEN_NP[4].u_np.bias_reg).
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Adding EN signal on $flatten\GEN_NP[4].u_np.$procdff$825 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = 1'0, Q = \GEN_NP[4].u_np.np_error).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$824 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$procmux$578_Y, Q = \GEN_NP[4].u_np.np_state, rval = 4'0000).
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Adding EN signal on $auto$ff.cc:337:slice$1627 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$procmux$578_Y, Q = \GEN_NP[4].u_np.np_state).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$823 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$procmux$603_Y, Q = \GEN_NP[4].u_np.result_node_id, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1641 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.node_id_reg, Q = \GEN_NP[4].u_np.result_node_id).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$822 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$procmux$614_Y, Q = \GEN_NP[4].u_np.result_data, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1645 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.y7, Q = \GEN_NP[4].u_np.result_data).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$821 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$procmux$624_Y, Q = \GEN_NP[4].u_np.result_valid, rval = 1'0).
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Adding EN signal on $auto$ff.cc:337:slice$1649 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[4].u_np.$procmux$624_Y, Q = \GEN_NP[4].u_np.result_valid).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$820 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.last1, Q = \GEN_NP[4].u_np.last_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$819 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.valid1, Q = \GEN_NP[4].u_np.valid_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$814 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.last_tree [0], Q = \GEN_NP[4].u_np.last_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$813 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.valid_tree [0], Q = \GEN_NP[4].u_np.valid_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$810 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.last_tree [1], Q = \GEN_NP[4].u_np.last_tree [2], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[4].u_np.$procdff$809 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[4].u_np.valid_tree [1], Q = \GEN_NP[4].u_np.valid_tree [2], rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$866 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [383:376], Q = \GEN_NP[5].u_np.w0[7]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$865 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [375:368], Q = \GEN_NP[5].u_np.w0[6]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$864 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [367:360], Q = \GEN_NP[5].u_np.w0[5]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$863 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [359:352], Q = \GEN_NP[5].u_np.w0[4]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$862 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [351:344], Q = \GEN_NP[5].u_np.w0[3]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$861 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [343:336], Q = \GEN_NP[5].u_np.w0[2]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$860 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [335:328], Q = \GEN_NP[5].u_np.w0[1]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$859 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [327:320], Q = \GEN_NP[5].u_np.w0[0]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$858 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [383:376], Q = \GEN_NP[5].u_np.x0[7]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$857 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [375:368], Q = \GEN_NP[5].u_np.x0[6]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$856 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [367:360], Q = \GEN_NP[5].u_np.x0[5]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$855 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [359:352], Q = \GEN_NP[5].u_np.x0[4]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$854 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [351:344], Q = \GEN_NP[5].u_np.x0[3]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$853 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [343:336], Q = \GEN_NP[5].u_np.x0[2]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$852 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [335:328], Q = \GEN_NP[5].u_np.x0[1]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$851 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [327:320], Q = \GEN_NP[5].u_np.x0[0]).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$849 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \tile_last [5], Q = \GEN_NP[5].u_np.last0, rval = 1'0).
|
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$848 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$logic_and$hardware/v2/rtl/neural_processor.v:109$309_Y, Q = \GEN_NP[5].u_np.valid0, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$847 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] [15] \GEN_NP[5].u_np.product_comb[7] }, Q = \GEN_NP[5].u_np.prod1[7]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$846 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] [15] \GEN_NP[5].u_np.product_comb[6] }, Q = \GEN_NP[5].u_np.prod1[6]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$845 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] [15] \GEN_NP[5].u_np.product_comb[5] }, Q = \GEN_NP[5].u_np.prod1[5]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$844 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] [15] \GEN_NP[5].u_np.product_comb[4] }, Q = \GEN_NP[5].u_np.prod1[4]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$843 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] [15] \GEN_NP[5].u_np.product_comb[3] }, Q = \GEN_NP[5].u_np.prod1[3]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$842 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] [15] \GEN_NP[5].u_np.product_comb[2] }, Q = \GEN_NP[5].u_np.prod1[2]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$841 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] [15] \GEN_NP[5].u_np.product_comb[1] }, Q = \GEN_NP[5].u_np.prod1[1]).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$840 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] [15] \GEN_NP[5].u_np.product_comb[0] }, Q = \GEN_NP[5].u_np.prod1[0]).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$839 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.last0, Q = \GEN_NP[5].u_np.last1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$838 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.valid0, Q = \GEN_NP[5].u_np.valid1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$836 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.last_tree [2], Q = \GEN_NP[5].u_np.last5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$835 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.valid_tree [2], Q = \GEN_NP[5].u_np.valid5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$834 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$procmux$656_Y, Q = \GEN_NP[5].u_np.acc_reg, rval = 0).
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Adding EN signal on $auto$ff.cc:337:slice$1763 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316_Y, Q = \GEN_NP[5].u_np.acc_reg).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$833 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318_Y, Q = \GEN_NP[5].u_np.final_acc_reg).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$832 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.last5, Q = \GEN_NP[5].u_np.last6, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$831 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.valid5, Q = \GEN_NP[5].u_np.valid6, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$830 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$procmux$636_Y, Q = \GEN_NP[5].u_np.y7).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$829 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.last6, Q = \GEN_NP[5].u_np.valid7, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$828 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$procmux$541_Y, Q = \GEN_NP[5].u_np.node_id_reg, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1772 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_node_id [95:80], Q = \GEN_NP[5].u_np.node_id_reg).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$827 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$procmux$555_Y, Q = \GEN_NP[5].u_np.activation_reg, rval = 2'01).
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Adding EN signal on $auto$ff.cc:337:slice$1776 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_activation [11:10], Q = \GEN_NP[5].u_np.activation_reg).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$826 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$procmux$569_Y, Q = \GEN_NP[5].u_np.bias_reg, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1780 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_bias [47:40], Q = \GEN_NP[5].u_np.bias_reg).
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Adding EN signal on $flatten\GEN_NP[5].u_np.$procdff$825 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = 1'0, Q = \GEN_NP[5].u_np.np_error).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$824 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$procmux$578_Y, Q = \GEN_NP[5].u_np.np_state, rval = 4'0000).
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Adding EN signal on $auto$ff.cc:337:slice$1785 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$procmux$578_Y, Q = \GEN_NP[5].u_np.np_state).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$823 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$procmux$603_Y, Q = \GEN_NP[5].u_np.result_node_id, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1799 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.node_id_reg, Q = \GEN_NP[5].u_np.result_node_id).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$822 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$procmux$614_Y, Q = \GEN_NP[5].u_np.result_data, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1803 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.y7, Q = \GEN_NP[5].u_np.result_data).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$821 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$procmux$624_Y, Q = \GEN_NP[5].u_np.result_valid, rval = 1'0).
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Adding EN signal on $auto$ff.cc:337:slice$1807 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[5].u_np.$procmux$624_Y, Q = \GEN_NP[5].u_np.result_valid).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$820 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.last1, Q = \GEN_NP[5].u_np.last_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$819 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.valid1, Q = \GEN_NP[5].u_np.valid_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$814 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.last_tree [0], Q = \GEN_NP[5].u_np.last_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$813 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.valid_tree [0], Q = \GEN_NP[5].u_np.valid_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$810 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.last_tree [1], Q = \GEN_NP[5].u_np.last_tree [2], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[5].u_np.$procdff$809 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[5].u_np.valid_tree [1], Q = \GEN_NP[5].u_np.valid_tree [2], rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$866 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [447:440], Q = \GEN_NP[6].u_np.w0[7]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$865 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [439:432], Q = \GEN_NP[6].u_np.w0[6]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$864 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [431:424], Q = \GEN_NP[6].u_np.w0[5]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$863 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [423:416], Q = \GEN_NP[6].u_np.w0[4]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$862 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [415:408], Q = \GEN_NP[6].u_np.w0[3]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$861 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [407:400], Q = \GEN_NP[6].u_np.w0[2]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$860 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [399:392], Q = \GEN_NP[6].u_np.w0[1]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$859 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [391:384], Q = \GEN_NP[6].u_np.w0[0]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$858 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [447:440], Q = \GEN_NP[6].u_np.x0[7]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$857 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [439:432], Q = \GEN_NP[6].u_np.x0[6]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$856 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [431:424], Q = \GEN_NP[6].u_np.x0[5]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$855 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [423:416], Q = \GEN_NP[6].u_np.x0[4]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$854 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [415:408], Q = \GEN_NP[6].u_np.x0[3]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$853 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [407:400], Q = \GEN_NP[6].u_np.x0[2]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$852 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [399:392], Q = \GEN_NP[6].u_np.x0[1]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$851 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [391:384], Q = \GEN_NP[6].u_np.x0[0]).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$849 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \tile_last [6], Q = \GEN_NP[6].u_np.last0, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$848 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$logic_and$hardware/v2/rtl/neural_processor.v:109$309_Y, Q = \GEN_NP[6].u_np.valid0, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$847 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] [15] \GEN_NP[6].u_np.product_comb[7] }, Q = \GEN_NP[6].u_np.prod1[7]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$846 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] [15] \GEN_NP[6].u_np.product_comb[6] }, Q = \GEN_NP[6].u_np.prod1[6]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$845 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] [15] \GEN_NP[6].u_np.product_comb[5] }, Q = \GEN_NP[6].u_np.prod1[5]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$844 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] [15] \GEN_NP[6].u_np.product_comb[4] }, Q = \GEN_NP[6].u_np.prod1[4]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$843 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] [15] \GEN_NP[6].u_np.product_comb[3] }, Q = \GEN_NP[6].u_np.prod1[3]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$842 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] [15] \GEN_NP[6].u_np.product_comb[2] }, Q = \GEN_NP[6].u_np.prod1[2]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$841 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] [15] \GEN_NP[6].u_np.product_comb[1] }, Q = \GEN_NP[6].u_np.prod1[1]).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$840 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] [15] \GEN_NP[6].u_np.product_comb[0] }, Q = \GEN_NP[6].u_np.prod1[0]).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$839 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.last0, Q = \GEN_NP[6].u_np.last1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$838 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.valid0, Q = \GEN_NP[6].u_np.valid1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$836 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.last_tree [2], Q = \GEN_NP[6].u_np.last5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$835 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.valid_tree [2], Q = \GEN_NP[6].u_np.valid5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$834 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$procmux$656_Y, Q = \GEN_NP[6].u_np.acc_reg, rval = 0).
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Adding EN signal on $auto$ff.cc:337:slice$1921 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316_Y, Q = \GEN_NP[6].u_np.acc_reg).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$833 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318_Y, Q = \GEN_NP[6].u_np.final_acc_reg).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$832 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.last5, Q = \GEN_NP[6].u_np.last6, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$831 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.valid5, Q = \GEN_NP[6].u_np.valid6, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$830 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$procmux$636_Y, Q = \GEN_NP[6].u_np.y7).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$829 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.last6, Q = \GEN_NP[6].u_np.valid7, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$828 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$procmux$541_Y, Q = \GEN_NP[6].u_np.node_id_reg, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1930 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_node_id [111:96], Q = \GEN_NP[6].u_np.node_id_reg).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$827 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$procmux$555_Y, Q = \GEN_NP[6].u_np.activation_reg, rval = 2'01).
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Adding EN signal on $auto$ff.cc:337:slice$1934 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_activation [13:12], Q = \GEN_NP[6].u_np.activation_reg).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$826 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$procmux$569_Y, Q = \GEN_NP[6].u_np.bias_reg, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1938 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_bias [55:48], Q = \GEN_NP[6].u_np.bias_reg).
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Adding EN signal on $flatten\GEN_NP[6].u_np.$procdff$825 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = 1'0, Q = \GEN_NP[6].u_np.np_error).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$824 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$procmux$578_Y, Q = \GEN_NP[6].u_np.np_state, rval = 4'0000).
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Adding EN signal on $auto$ff.cc:337:slice$1943 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$procmux$578_Y, Q = \GEN_NP[6].u_np.np_state).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$823 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$procmux$603_Y, Q = \GEN_NP[6].u_np.result_node_id, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$1957 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.node_id_reg, Q = \GEN_NP[6].u_np.result_node_id).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$822 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$procmux$614_Y, Q = \GEN_NP[6].u_np.result_data, rval = 8'00000000).
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Adding EN signal on $auto$ff.cc:337:slice$1961 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.y7, Q = \GEN_NP[6].u_np.result_data).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$821 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$procmux$624_Y, Q = \GEN_NP[6].u_np.result_valid, rval = 1'0).
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Adding EN signal on $auto$ff.cc:337:slice$1965 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[6].u_np.$procmux$624_Y, Q = \GEN_NP[6].u_np.result_valid).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$820 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.last1, Q = \GEN_NP[6].u_np.last_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$819 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.valid1, Q = \GEN_NP[6].u_np.valid_tree [0], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$814 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.last_tree [0], Q = \GEN_NP[6].u_np.last_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$813 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.valid_tree [0], Q = \GEN_NP[6].u_np.valid_tree [1], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$810 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.last_tree [1], Q = \GEN_NP[6].u_np.last_tree [2], rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[6].u_np.$procdff$809 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[6].u_np.valid_tree [1], Q = \GEN_NP[6].u_np.valid_tree [2], rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$866 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [511:504], Q = \GEN_NP[7].u_np.w0[7]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$865 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [503:496], Q = \GEN_NP[7].u_np.w0[6]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$864 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [495:488], Q = \GEN_NP[7].u_np.w0[5]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$863 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [487:480], Q = \GEN_NP[7].u_np.w0[4]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$862 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [479:472], Q = \GEN_NP[7].u_np.w0[3]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$861 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [471:464], Q = \GEN_NP[7].u_np.w0[2]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$860 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [463:456], Q = \GEN_NP[7].u_np.w0[1]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$859 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \weight_data [455:448], Q = \GEN_NP[7].u_np.w0[0]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$858 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [511:504], Q = \GEN_NP[7].u_np.x0[7]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$857 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [503:496], Q = \GEN_NP[7].u_np.x0[6]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$856 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [495:488], Q = \GEN_NP[7].u_np.x0[5]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$855 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [487:480], Q = \GEN_NP[7].u_np.x0[4]).
|
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$854 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [479:472], Q = \GEN_NP[7].u_np.x0[3]).
|
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$853 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [471:464], Q = \GEN_NP[7].u_np.x0[2]).
|
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$852 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [463:456], Q = \GEN_NP[7].u_np.x0[1]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$851 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \input_data [455:448], Q = \GEN_NP[7].u_np.x0[0]).
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Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$849 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \tile_last [7], Q = \GEN_NP[7].u_np.last0, rval = 1'0).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$848 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$logic_and$hardware/v2/rtl/neural_processor.v:109$309_Y, Q = \GEN_NP[7].u_np.valid0, rval = 1'0).
|
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$847 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] [15] \GEN_NP[7].u_np.product_comb[7] }, Q = \GEN_NP[7].u_np.prod1[7]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$846 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] [15] \GEN_NP[7].u_np.product_comb[6] }, Q = \GEN_NP[7].u_np.prod1[6]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$845 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] [15] \GEN_NP[7].u_np.product_comb[5] }, Q = \GEN_NP[7].u_np.prod1[5]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$844 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] [15] \GEN_NP[7].u_np.product_comb[4] }, Q = \GEN_NP[7].u_np.prod1[4]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$843 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] [15] \GEN_NP[7].u_np.product_comb[3] }, Q = \GEN_NP[7].u_np.prod1[3]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$842 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] [15] \GEN_NP[7].u_np.product_comb[2] }, Q = \GEN_NP[7].u_np.prod1[2]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$841 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] [15] \GEN_NP[7].u_np.product_comb[1] }, Q = \GEN_NP[7].u_np.prod1[1]).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$840 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = { \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] [15] \GEN_NP[7].u_np.product_comb[0] }, Q = \GEN_NP[7].u_np.prod1[0]).
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Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$839 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.last0, Q = \GEN_NP[7].u_np.last1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$838 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.valid0, Q = \GEN_NP[7].u_np.valid1, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$836 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.last_tree [2], Q = \GEN_NP[7].u_np.last5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$835 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.valid_tree [2], Q = \GEN_NP[7].u_np.valid5, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$834 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$procmux$656_Y, Q = \GEN_NP[7].u_np.acc_reg, rval = 0).
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Adding EN signal on $auto$ff.cc:337:slice$2079 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316_Y, Q = \GEN_NP[7].u_np.acc_reg).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$833 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318_Y, Q = \GEN_NP[7].u_np.final_acc_reg).
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Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$832 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.last5, Q = \GEN_NP[7].u_np.last6, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$831 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.valid5, Q = \GEN_NP[7].u_np.valid6, rval = 1'0).
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Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$830 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$procmux$636_Y, Q = \GEN_NP[7].u_np.y7).
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Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$829 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.last6, Q = \GEN_NP[7].u_np.valid7, rval = 1'0).
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Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$828 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$procmux$541_Y, Q = \GEN_NP[7].u_np.node_id_reg, rval = 16'0000000000000000).
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Adding EN signal on $auto$ff.cc:337:slice$2088 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_node_id [127:112], Q = \GEN_NP[7].u_np.node_id_reg).
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Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$827 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$procmux$555_Y, Q = \GEN_NP[7].u_np.activation_reg, rval = 2'01).
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Adding EN signal on $auto$ff.cc:337:slice$2092 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_activation [15:14], Q = \GEN_NP[7].u_np.activation_reg).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$826 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$procmux$569_Y, Q = \GEN_NP[7].u_np.bias_reg, rval = 8'00000000).
|
|
Adding EN signal on $auto$ff.cc:337:slice$2096 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \job_bias [63:56], Q = \GEN_NP[7].u_np.bias_reg).
|
|
Adding EN signal on $flatten\GEN_NP[7].u_np.$procdff$825 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = 1'0, Q = \GEN_NP[7].u_np.np_error).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$824 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$procmux$578_Y, Q = \GEN_NP[7].u_np.np_state, rval = 4'0000).
|
|
Adding EN signal on $auto$ff.cc:337:slice$2101 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$procmux$578_Y, Q = \GEN_NP[7].u_np.np_state).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$823 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$procmux$603_Y, Q = \GEN_NP[7].u_np.result_node_id, rval = 16'0000000000000000).
|
|
Adding EN signal on $auto$ff.cc:337:slice$2115 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.node_id_reg, Q = \GEN_NP[7].u_np.result_node_id).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$822 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$procmux$614_Y, Q = \GEN_NP[7].u_np.result_data, rval = 8'00000000).
|
|
Adding EN signal on $auto$ff.cc:337:slice$2119 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.y7, Q = \GEN_NP[7].u_np.result_data).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$821 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$procmux$624_Y, Q = \GEN_NP[7].u_np.result_valid, rval = 1'0).
|
|
Adding EN signal on $auto$ff.cc:337:slice$2123 ($sdff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = $flatten\GEN_NP[7].u_np.$procmux$624_Y, Q = \GEN_NP[7].u_np.result_valid).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$820 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.last1, Q = \GEN_NP[7].u_np.last_tree [0], rval = 1'0).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$819 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.valid1, Q = \GEN_NP[7].u_np.valid_tree [0], rval = 1'0).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$814 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.last_tree [0], Q = \GEN_NP[7].u_np.last_tree [1], rval = 1'0).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$813 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.valid_tree [0], Q = \GEN_NP[7].u_np.valid_tree [1], rval = 1'0).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$810 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.last_tree [1], Q = \GEN_NP[7].u_np.last_tree [2], rval = 1'0).
|
|
Adding SRST signal on $flatten\GEN_NP[7].u_np.$procdff$809 ($dff) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 (D = \GEN_NP[7].u_np.valid_tree [1], Q = \GEN_NP[7].u_np.valid_tree [2], rval = 1'0).
|
|
Setting constant 0-bit at position 0 on $auto$ff.cc:337:slice$2100 ($dffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 0 on $auto$ff.cc:337:slice$1942 ($dffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 0 on $auto$ff.cc:337:slice$1784 ($dffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 0 on $auto$ff.cc:337:slice$1626 ($dffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 0 on $auto$ff.cc:337:slice$1468 ($dffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 0 on $auto$ff.cc:337:slice$1310 ($dffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 0 on $auto$ff.cc:337:slice$1152 ($dffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 0 on $auto$ff.cc:337:slice$994 ($dffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.14.7. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Removed 632 unused cells and 632 unused wires.
|
|
<suppressed ~633 debug messages>
|
|
|
|
4.14.8. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
<suppressed ~16 debug messages>
|
|
|
|
4.14.9. Rerunning OPT passes. (Maybe there is more to do..)
|
|
|
|
4.14.10. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
Evaluating internal representation of mux trees.
|
|
Analyzing evaluation results.
|
|
Removed 0 multiplexer ports.
|
|
<suppressed ~128 debug messages>
|
|
|
|
4.14.11. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 0 changes.
|
|
|
|
4.14.12. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1312 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1145 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1025 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
<suppressed ~861 debug messages>
|
|
Removed a total of 287 cells.
|
|
|
|
4.14.13. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.14.14. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Removed 0 unused cells and 287 unused wires.
|
|
<suppressed ~1 debug messages>
|
|
|
|
4.14.15. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.14.16. Rerunning OPT passes. (Maybe there is more to do..)
|
|
|
|
4.14.17. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
Evaluating internal representation of mux trees.
|
|
Analyzing evaluation results.
|
|
Removed 0 multiplexer ports.
|
|
<suppressed ~128 debug messages>
|
|
|
|
4.14.18. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 0 changes.
|
|
|
|
4.14.19. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1025 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.14.20. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.14.21. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.14.22. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.14.23. Finished fast OPT passes. (There is nothing left to do.)
|
|
|
|
4.15. Executing WREDUCE pass (reducing word size of cells).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$2130 ($ne).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$2128 ($ne).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$2074 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$2073 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$2072 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$2071 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$2070 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$2069 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$2068 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$2067 ($dffe).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1948 ($ne).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1946 ($ne).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1916 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1915 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1914 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1913 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1912 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1911 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1910 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1909 ($dffe).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1790 ($ne).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1788 ($ne).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1758 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1757 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1756 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1755 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1754 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1753 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1752 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1751 ($dffe).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1632 ($ne).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1630 ($ne).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1600 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1599 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1598 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1597 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1596 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1595 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1594 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1593 ($dffe).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1474 ($ne).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1472 ($ne).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1442 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1441 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1440 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1439 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1438 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1437 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1436 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1435 ($dffe).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1316 ($ne).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1314 ($ne).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1284 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1283 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1282 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1281 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1280 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1279 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1278 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1277 ($dffe).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1158 ($ne).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1156 ($ne).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1126 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1125 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1124 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1123 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1122 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1121 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1120 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$1119 ($dffe).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$1000 ($ne).
|
|
Removed top 1 bits (of 2) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$opt_dff.cc:320:make_patterns_logic$998 ($ne).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$968 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$967 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$966 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$965 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$964 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$963 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$962 ($dffe).
|
|
Removed top 16 bits (of 32) from FF cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$auto$ff.cc:337:slice$961 ($dffe).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$procmux$589_CMP0 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$procmux$586_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$procmux$583_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$procmux$580_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$procmux$579_CMP0 ($eq).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 24 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
Removed top 3 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[0].u_np.$eq$hardware/v2/rtl/neural_processor.v:223$315 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$procmux$589_CMP0 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$procmux$586_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$procmux$583_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$procmux$580_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$procmux$579_CMP0 ($eq).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 24 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
Removed top 3 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[1].u_np.$eq$hardware/v2/rtl/neural_processor.v:223$315 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$procmux$589_CMP0 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$procmux$586_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$procmux$583_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$procmux$580_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$procmux$579_CMP0 ($eq).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 24 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
Removed top 3 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[2].u_np.$eq$hardware/v2/rtl/neural_processor.v:223$315 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$procmux$589_CMP0 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$procmux$586_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$procmux$583_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$procmux$580_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$procmux$579_CMP0 ($eq).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 24 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
Removed top 3 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[3].u_np.$eq$hardware/v2/rtl/neural_processor.v:223$315 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$procmux$589_CMP0 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$procmux$586_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$procmux$583_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$procmux$580_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$procmux$579_CMP0 ($eq).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 24 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
Removed top 3 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[4].u_np.$eq$hardware/v2/rtl/neural_processor.v:223$315 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$procmux$589_CMP0 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$procmux$586_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$procmux$583_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$procmux$580_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$procmux$579_CMP0 ($eq).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 24 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
Removed top 3 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[5].u_np.$eq$hardware/v2/rtl/neural_processor.v:223$315 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$procmux$589_CMP0 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$procmux$586_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$procmux$583_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$procmux$580_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$procmux$579_CMP0 ($eq).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 24 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
Removed top 3 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[6].u_np.$eq$hardware/v2/rtl/neural_processor.v:223$315 ($eq).
|
|
Removed top 3 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$procmux$590_CMP0 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$procmux$589_CMP0 ($eq).
|
|
Removed top 2 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$procmux$586_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$procmux$583_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$procmux$580_CMP0 ($eq).
|
|
Removed top 1 bits (of 4) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$procmux$579_CMP0 ($eq).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
Converting cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add) from unsigned to signed.
|
|
Removed top 16 bits (of 32) from port A of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 16 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 15 bits (of 32) from port Y of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
Removed top 24 bits (of 32) from port B of cell $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.$flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
|
|
4.16. Executing PEEPOPT pass (run peephole optimizers).
|
|
|
|
4.17. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.18. Executing SHARE pass (SAT-based resource sharing).
|
|
|
|
4.19. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.19.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/cmp2lut.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/cmp2lut.v' to AST representation.
|
|
Generating RTLIL representation for module `\_90_lut_cmp_'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.19.2. Continuing TECHMAP pass.
|
|
No more expansions possible.
|
|
<suppressed ~6 debug messages>
|
|
|
|
4.20. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.21. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.22. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.22.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/mul2dsp.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/mul2dsp.v' to AST representation.
|
|
Generating RTLIL representation for module `\_80_mul'.
|
|
Generating RTLIL representation for module `\_90_soft_mul'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.22.2. Continuing TECHMAP pass.
|
|
Using template $paramod$cc733e0dbb038034434917c1e0de96998ec4103f\_80_mul for cells of type $mul.
|
|
No more expansions possible.
|
|
<suppressed ~148 debug messages>
|
|
|
|
4.23. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.23.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/lattice/dsp_map_18x18.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/lattice/dsp_map_18x18.v' to AST representation.
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Generating RTLIL representation for module `$__MUL18X18'.
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Successfully finished Verilog frontend.
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4.23.2. Continuing TECHMAP pass.
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Using template $paramod$ea686d7c43b0ae12a4f0d39aec4e01bcc4449b23$__MUL18X18 for cells of type $__MUL18X18.
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No more expansions possible.
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<suppressed ~86 debug messages>
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4.24. Executing ALUMACC pass (create $alu and $macc cells).
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Extracting $alu and $macc cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000:
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creating $macc model for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358 ($add).
|
|
creating $macc model for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356 ($add).
|
|
creating $macc model for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316 ($add).
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creating $macc model for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
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creating $macc model for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
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creating $macc model for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
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creating $macc model for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
creating $macc model for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
creating $macc model for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356 ($add).
|
|
creating $macc model for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358 ($add).
|
|
creating $macc model for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361 ($add).
|
|
creating $macc model for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316 ($add).
|
|
creating $macc model for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
creating $macc model for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
creating $macc model for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316 ($add).
|
|
creating $macc model for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
creating $macc model for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
creating $macc model for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
creating $macc model for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
creating $macc model for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
creating $macc model for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356 ($add).
|
|
creating $macc model for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358 ($add).
|
|
creating $macc model for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361 ($add).
|
|
creating $macc model for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
creating $macc model for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
creating $macc model for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
creating $macc model for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356 ($add).
|
|
creating $macc model for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358 ($add).
|
|
creating $macc model for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
creating $macc model for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361 ($add).
|
|
creating $macc model for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
creating $macc model for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
creating $macc model for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
creating $macc model for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356 ($add).
|
|
creating $macc model for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358 ($add).
|
|
creating $macc model for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361 ($add).
|
|
creating $macc model for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
creating $macc model for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316 ($add).
|
|
creating $macc model for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316 ($add).
|
|
creating $macc model for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
creating $macc model for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
creating $macc model for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
creating $macc model for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
creating $macc model for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
creating $macc model for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356 ($add).
|
|
creating $macc model for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358 ($add).
|
|
creating $macc model for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361 ($add).
|
|
creating $macc model for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316 ($add).
|
|
creating $macc model for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
creating $macc model for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
creating $macc model for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316 ($add).
|
|
creating $macc model for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316 ($add).
|
|
creating $macc model for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318 ($add).
|
|
creating $macc model for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
creating $macc model for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
creating $macc model for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
creating $macc model for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
creating $macc model for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356 ($add).
|
|
creating $macc model for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358 ($add).
|
|
creating $macc model for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361 ($add).
|
|
creating $macc model for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
creating $macc model for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361 ($add).
|
|
creating $macc model for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
creating $macc model for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
creating $macc model for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
creating $macc model for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347 ($add).
|
|
creating $macc model for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349 ($add).
|
|
creating $macc model for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351 ($add).
|
|
creating $macc model for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353 ($add).
|
|
creating $macc model for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356 ($add).
|
|
creating $macc model for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358 ($add).
|
|
creating $macc model for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361 ($add).
|
|
creating $alu model for $macc $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361.
|
|
creating $alu model for $macc $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358.
|
|
creating $alu model for $macc $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356.
|
|
creating $alu model for $macc $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353.
|
|
creating $alu model for $macc $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351.
|
|
creating $alu model for $macc $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349.
|
|
creating $alu model for $macc $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347.
|
|
creating $alu model for $macc $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347.
|
|
creating $alu model for $macc $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349.
|
|
creating $alu model for $macc $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351.
|
|
creating $alu model for $macc $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361.
|
|
creating $alu model for $macc $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353.
|
|
creating $alu model for $macc $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361.
|
|
creating $alu model for $macc $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358.
|
|
creating $alu model for $macc $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356.
|
|
creating $alu model for $macc $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353.
|
|
creating $alu model for $macc $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351.
|
|
creating $alu model for $macc $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349.
|
|
creating $alu model for $macc $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347.
|
|
creating $alu model for $macc $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318.
|
|
creating $alu model for $macc $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316.
|
|
creating $alu model for $macc $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316.
|
|
creating $alu model for $macc $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318.
|
|
creating $alu model for $macc $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318.
|
|
creating $alu model for $macc $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316.
|
|
creating $alu model for $macc $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361.
|
|
creating $alu model for $macc $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358.
|
|
creating $alu model for $macc $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356.
|
|
creating $alu model for $macc $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353.
|
|
creating $alu model for $macc $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351.
|
|
creating $alu model for $macc $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349.
|
|
creating $alu model for $macc $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347.
|
|
creating $alu model for $macc $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318.
|
|
creating $alu model for $macc $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316.
|
|
creating $alu model for $macc $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316.
|
|
creating $alu model for $macc $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318.
|
|
creating $alu model for $macc $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361.
|
|
creating $alu model for $macc $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358.
|
|
creating $alu model for $macc $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356.
|
|
creating $alu model for $macc $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353.
|
|
creating $alu model for $macc $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351.
|
|
creating $alu model for $macc $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349.
|
|
creating $alu model for $macc $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361.
|
|
creating $alu model for $macc $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347.
|
|
creating $alu model for $macc $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358.
|
|
creating $alu model for $macc $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356.
|
|
creating $alu model for $macc $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353.
|
|
creating $alu model for $macc $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351.
|
|
creating $alu model for $macc $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349.
|
|
creating $alu model for $macc $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361.
|
|
creating $alu model for $macc $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358.
|
|
creating $alu model for $macc $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356.
|
|
creating $alu model for $macc $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353.
|
|
creating $alu model for $macc $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351.
|
|
creating $alu model for $macc $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349.
|
|
creating $alu model for $macc $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347.
|
|
creating $alu model for $macc $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318.
|
|
creating $alu model for $macc $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316.
|
|
creating $alu model for $macc $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347.
|
|
creating $alu model for $macc $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318.
|
|
creating $alu model for $macc $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316.
|
|
creating $alu model for $macc $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361.
|
|
creating $alu model for $macc $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358.
|
|
creating $alu model for $macc $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356.
|
|
creating $alu model for $macc $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353.
|
|
creating $alu model for $macc $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351.
|
|
creating $alu model for $macc $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349.
|
|
creating $alu model for $macc $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347.
|
|
creating $alu model for $macc $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318.
|
|
creating $alu model for $macc $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316.
|
|
creating $alu model for $macc $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356.
|
|
creating $alu model for $macc $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358.
|
|
creating $alu cell for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358: $auto$alumacc.cc:548:replace_alu$2268
|
|
creating $alu cell for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356: $auto$alumacc.cc:548:replace_alu$2271
|
|
creating $alu cell for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316: $auto$alumacc.cc:548:replace_alu$2274
|
|
creating $alu cell for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318: $auto$alumacc.cc:548:replace_alu$2277
|
|
creating $alu cell for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347: $auto$alumacc.cc:548:replace_alu$2280
|
|
creating $alu cell for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349: $auto$alumacc.cc:548:replace_alu$2283
|
|
creating $alu cell for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351: $auto$alumacc.cc:548:replace_alu$2286
|
|
creating $alu cell for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353: $auto$alumacc.cc:548:replace_alu$2289
|
|
creating $alu cell for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356: $auto$alumacc.cc:548:replace_alu$2292
|
|
creating $alu cell for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358: $auto$alumacc.cc:548:replace_alu$2295
|
|
creating $alu cell for $flatten\GEN_NP[3].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361: $auto$alumacc.cc:548:replace_alu$2298
|
|
creating $alu cell for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316: $auto$alumacc.cc:548:replace_alu$2301
|
|
creating $alu cell for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318: $auto$alumacc.cc:548:replace_alu$2304
|
|
creating $alu cell for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347: $auto$alumacc.cc:548:replace_alu$2307
|
|
creating $alu cell for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316: $auto$alumacc.cc:548:replace_alu$2310
|
|
creating $alu cell for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318: $auto$alumacc.cc:548:replace_alu$2313
|
|
creating $alu cell for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347: $auto$alumacc.cc:548:replace_alu$2316
|
|
creating $alu cell for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349: $auto$alumacc.cc:548:replace_alu$2319
|
|
creating $alu cell for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351: $auto$alumacc.cc:548:replace_alu$2322
|
|
creating $alu cell for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353: $auto$alumacc.cc:548:replace_alu$2325
|
|
creating $alu cell for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356: $auto$alumacc.cc:548:replace_alu$2328
|
|
creating $alu cell for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358: $auto$alumacc.cc:548:replace_alu$2331
|
|
creating $alu cell for $flatten\GEN_NP[2].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361: $auto$alumacc.cc:548:replace_alu$2334
|
|
creating $alu cell for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349: $auto$alumacc.cc:548:replace_alu$2337
|
|
creating $alu cell for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351: $auto$alumacc.cc:548:replace_alu$2340
|
|
creating $alu cell for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353: $auto$alumacc.cc:548:replace_alu$2343
|
|
creating $alu cell for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356: $auto$alumacc.cc:548:replace_alu$2346
|
|
creating $alu cell for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358: $auto$alumacc.cc:548:replace_alu$2349
|
|
creating $alu cell for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347: $auto$alumacc.cc:548:replace_alu$2352
|
|
creating $alu cell for $flatten\GEN_NP[5].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361: $auto$alumacc.cc:548:replace_alu$2355
|
|
creating $alu cell for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349: $auto$alumacc.cc:548:replace_alu$2358
|
|
creating $alu cell for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351: $auto$alumacc.cc:548:replace_alu$2361
|
|
creating $alu cell for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353: $auto$alumacc.cc:548:replace_alu$2364
|
|
creating $alu cell for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356: $auto$alumacc.cc:548:replace_alu$2367
|
|
creating $alu cell for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358: $auto$alumacc.cc:548:replace_alu$2370
|
|
creating $alu cell for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361: $auto$alumacc.cc:548:replace_alu$2373
|
|
creating $alu cell for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318: $auto$alumacc.cc:548:replace_alu$2376
|
|
creating $alu cell for $flatten\GEN_NP[6].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316: $auto$alumacc.cc:548:replace_alu$2379
|
|
creating $alu cell for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316: $auto$alumacc.cc:548:replace_alu$2382
|
|
creating $alu cell for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318: $auto$alumacc.cc:548:replace_alu$2385
|
|
creating $alu cell for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347: $auto$alumacc.cc:548:replace_alu$2388
|
|
creating $alu cell for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349: $auto$alumacc.cc:548:replace_alu$2391
|
|
creating $alu cell for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351: $auto$alumacc.cc:548:replace_alu$2394
|
|
creating $alu cell for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353: $auto$alumacc.cc:548:replace_alu$2397
|
|
creating $alu cell for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356: $auto$alumacc.cc:548:replace_alu$2400
|
|
creating $alu cell for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358: $auto$alumacc.cc:548:replace_alu$2403
|
|
creating $alu cell for $flatten\GEN_NP[1].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361: $auto$alumacc.cc:548:replace_alu$2406
|
|
creating $alu cell for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316: $auto$alumacc.cc:548:replace_alu$2409
|
|
creating $alu cell for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318: $auto$alumacc.cc:548:replace_alu$2412
|
|
creating $alu cell for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318: $auto$alumacc.cc:548:replace_alu$2415
|
|
creating $alu cell for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316: $auto$alumacc.cc:548:replace_alu$2418
|
|
creating $alu cell for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:226$316: $auto$alumacc.cc:548:replace_alu$2421
|
|
creating $alu cell for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:252$318: $auto$alumacc.cc:548:replace_alu$2424
|
|
creating $alu cell for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347: $auto$alumacc.cc:548:replace_alu$2427
|
|
creating $alu cell for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349: $auto$alumacc.cc:548:replace_alu$2430
|
|
creating $alu cell for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351: $auto$alumacc.cc:548:replace_alu$2433
|
|
creating $alu cell for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353: $auto$alumacc.cc:548:replace_alu$2436
|
|
creating $alu cell for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356: $auto$alumacc.cc:548:replace_alu$2439
|
|
creating $alu cell for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358: $auto$alumacc.cc:548:replace_alu$2442
|
|
creating $alu cell for $flatten\GEN_NP[0].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361: $auto$alumacc.cc:548:replace_alu$2445
|
|
creating $alu cell for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353: $auto$alumacc.cc:548:replace_alu$2448
|
|
creating $alu cell for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361: $auto$alumacc.cc:548:replace_alu$2451
|
|
creating $alu cell for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351: $auto$alumacc.cc:548:replace_alu$2454
|
|
creating $alu cell for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349: $auto$alumacc.cc:548:replace_alu$2457
|
|
creating $alu cell for $flatten\GEN_NP[7].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347: $auto$alumacc.cc:548:replace_alu$2460
|
|
creating $alu cell for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$347: $auto$alumacc.cc:548:replace_alu$2463
|
|
creating $alu cell for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$349: $auto$alumacc.cc:548:replace_alu$2466
|
|
creating $alu cell for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$351: $auto$alumacc.cc:548:replace_alu$2469
|
|
creating $alu cell for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:193$353: $auto$alumacc.cc:548:replace_alu$2472
|
|
creating $alu cell for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:197$356: $auto$alumacc.cc:548:replace_alu$2475
|
|
creating $alu cell for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:197$358: $auto$alumacc.cc:548:replace_alu$2478
|
|
creating $alu cell for $flatten\GEN_NP[4].u_np.$add$hardware/v2/rtl/neural_processor.v:197$361: $auto$alumacc.cc:548:replace_alu$2481
|
|
created 72 $alu and 0 $macc cells.
|
|
|
|
4.25. Executing OPT pass (performing simple optimizations).
|
|
|
|
4.25.1. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.25.2. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1025 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.25.3. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
Evaluating internal representation of mux trees.
|
|
Analyzing evaluation results.
|
|
Removed 0 multiplexer ports.
|
|
<suppressed ~128 debug messages>
|
|
|
|
4.25.4. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 0 changes.
|
|
|
|
4.25.5. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1025 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.25.6. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.25.7. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Removed 0 unused cells and 512 unused wires.
|
|
<suppressed ~1 debug messages>
|
|
|
|
4.25.8. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.25.9. Rerunning OPT passes. (Maybe there is more to do..)
|
|
|
|
4.25.10. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
Evaluating internal representation of mux trees.
|
|
Analyzing evaluation results.
|
|
Removed 0 multiplexer ports.
|
|
<suppressed ~128 debug messages>
|
|
|
|
4.25.11. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 0 changes.
|
|
|
|
4.25.12. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 1025 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.25.13. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.25.14. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.25.15. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.25.16. Finished fast OPT passes. (There is nothing left to do.)
|
|
|
|
4.26. Executing MEMORY pass.
|
|
|
|
4.26.1. Executing OPT_MEM pass (optimize memories).
|
|
Performed a total of 0 transformations.
|
|
|
|
4.26.2. Executing OPT_MEM_PRIORITY pass (removing unnecessary memory write priority relations).
|
|
Performed a total of 0 transformations.
|
|
|
|
4.26.3. Executing OPT_MEM_FEEDBACK pass (finding memory read-to-write feedback paths).
|
|
|
|
4.26.4. Executing MEMORY_BMUX2ROM pass (converting muxes to ROMs).
|
|
|
|
4.26.5. Executing MEMORY_DFF pass (merging $dff cells to $memrd).
|
|
|
|
4.26.6. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.26.7. Executing MEMORY_SHARE pass (consolidating $memrd/$memwr cells).
|
|
|
|
4.26.8. Executing OPT_MEM_WIDEN pass (optimize memories where all ports are wide).
|
|
Performed a total of 0 transformations.
|
|
|
|
4.26.9. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.26.10. Executing MEMORY_COLLECT pass (generating $mem cells).
|
|
|
|
4.27. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.28. Executing MEMORY_LIBMAP pass (mapping memories to cells).
|
|
|
|
4.29. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.29.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/lattice/lutrams_map_trellis.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/lattice/lutrams_map_trellis.v' to AST representation.
|
|
Generating RTLIL representation for module `$__TRELLIS_DPR16X4_'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.29.2. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/lattice/brams_map_16kd.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/lattice/brams_map_16kd.v' to AST representation.
|
|
Generating RTLIL representation for module `$__DP16KD_'.
|
|
Generating RTLIL representation for module `$__PDPW16KD_'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.29.3. Continuing TECHMAP pass.
|
|
No more expansions possible.
|
|
<suppressed ~5 debug messages>
|
|
|
|
4.30. Executing OPT pass (performing simple optimizations).
|
|
|
|
4.30.1. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
<suppressed ~64 debug messages>
|
|
|
|
4.30.2. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 977 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.30.3. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.30.4. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Removed 0 unused cells and 48 unused wires.
|
|
<suppressed ~1 debug messages>
|
|
|
|
4.30.5. Finished fast OPT passes.
|
|
|
|
4.31. Executing MEMORY_MAP pass (converting memories to logic and flip-flops).
|
|
|
|
4.32. Executing OPT pass (performing simple optimizations).
|
|
|
|
4.32.1. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.32.2. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 977 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.32.3. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
Evaluating internal representation of mux trees.
|
|
Analyzing evaluation results.
|
|
Removed 0 multiplexer ports.
|
|
<suppressed ~80 debug messages>
|
|
|
|
4.32.4. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Consolidated identical input bits for $mux cell $flatten\GEN_NP[3].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326:
|
|
Old ports: A=8'01111111, B=8'10000000, Y=$flatten\GEN_NP[3].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y
|
|
New ports: A=2'01, B=2'10, Y={ $flatten\GEN_NP[3].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [7] $flatten\GEN_NP[3].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
New connections: $flatten\GEN_NP[3].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [6:1] = { $flatten\GEN_NP[3].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[3].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[3].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[3].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[3].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[3].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
Consolidated identical input bits for $pmux cell $flatten\GEN_NP[7].u_np.$procmux$578:
|
|
Old ports: A=4'0110, B=24'000100100011010001010000, Y=$flatten\GEN_NP[7].u_np.$procmux$578_Y
|
|
New ports: A=3'110, B=18'001010011100101000, Y=$flatten\GEN_NP[7].u_np.$procmux$578_Y [2:0]
|
|
New connections: $flatten\GEN_NP[7].u_np.$procmux$578_Y [3] = 1'0
|
|
Consolidated identical input bits for $pmux cell $flatten\GEN_NP[3].u_np.$procmux$578:
|
|
Old ports: A=4'0110, B=24'000100100011010001010000, Y=$flatten\GEN_NP[3].u_np.$procmux$578_Y
|
|
New ports: A=3'110, B=18'001010011100101000, Y=$flatten\GEN_NP[3].u_np.$procmux$578_Y [2:0]
|
|
New connections: $flatten\GEN_NP[3].u_np.$procmux$578_Y [3] = 1'0
|
|
Consolidated identical input bits for $mux cell $flatten\GEN_NP[5].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326:
|
|
Old ports: A=8'01111111, B=8'10000000, Y=$flatten\GEN_NP[5].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y
|
|
New ports: A=2'01, B=2'10, Y={ $flatten\GEN_NP[5].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [7] $flatten\GEN_NP[5].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
New connections: $flatten\GEN_NP[5].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [6:1] = { $flatten\GEN_NP[5].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[5].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[5].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[5].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[5].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[5].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
Consolidated identical input bits for $pmux cell $flatten\GEN_NP[4].u_np.$procmux$578:
|
|
Old ports: A=4'0110, B=24'000100100011010001010000, Y=$flatten\GEN_NP[4].u_np.$procmux$578_Y
|
|
New ports: A=3'110, B=18'001010011100101000, Y=$flatten\GEN_NP[4].u_np.$procmux$578_Y [2:0]
|
|
New connections: $flatten\GEN_NP[4].u_np.$procmux$578_Y [3] = 1'0
|
|
Consolidated identical input bits for $mux cell $flatten\GEN_NP[2].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326:
|
|
Old ports: A=8'01111111, B=8'10000000, Y=$flatten\GEN_NP[2].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y
|
|
New ports: A=2'01, B=2'10, Y={ $flatten\GEN_NP[2].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [7] $flatten\GEN_NP[2].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
New connections: $flatten\GEN_NP[2].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [6:1] = { $flatten\GEN_NP[2].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[2].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[2].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[2].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[2].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[2].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
Consolidated identical input bits for $pmux cell $flatten\GEN_NP[2].u_np.$procmux$578:
|
|
Old ports: A=4'0110, B=24'000100100011010001010000, Y=$flatten\GEN_NP[2].u_np.$procmux$578_Y
|
|
New ports: A=3'110, B=18'001010011100101000, Y=$flatten\GEN_NP[2].u_np.$procmux$578_Y [2:0]
|
|
New connections: $flatten\GEN_NP[2].u_np.$procmux$578_Y [3] = 1'0
|
|
Consolidated identical input bits for $mux cell $flatten\GEN_NP[7].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326:
|
|
Old ports: A=8'01111111, B=8'10000000, Y=$flatten\GEN_NP[7].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y
|
|
New ports: A=2'01, B=2'10, Y={ $flatten\GEN_NP[7].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [7] $flatten\GEN_NP[7].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
New connections: $flatten\GEN_NP[7].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [6:1] = { $flatten\GEN_NP[7].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[7].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[7].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[7].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[7].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[7].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
Consolidated identical input bits for $mux cell $flatten\GEN_NP[6].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326:
|
|
Old ports: A=8'01111111, B=8'10000000, Y=$flatten\GEN_NP[6].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y
|
|
New ports: A=2'01, B=2'10, Y={ $flatten\GEN_NP[6].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [7] $flatten\GEN_NP[6].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
New connections: $flatten\GEN_NP[6].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [6:1] = { $flatten\GEN_NP[6].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[6].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[6].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[6].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[6].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[6].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
Consolidated identical input bits for $pmux cell $flatten\GEN_NP[5].u_np.$procmux$578:
|
|
Old ports: A=4'0110, B=24'000100100011010001010000, Y=$flatten\GEN_NP[5].u_np.$procmux$578_Y
|
|
New ports: A=3'110, B=18'001010011100101000, Y=$flatten\GEN_NP[5].u_np.$procmux$578_Y [2:0]
|
|
New connections: $flatten\GEN_NP[5].u_np.$procmux$578_Y [3] = 1'0
|
|
Consolidated identical input bits for $mux cell $flatten\GEN_NP[1].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326:
|
|
Old ports: A=8'01111111, B=8'10000000, Y=$flatten\GEN_NP[1].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y
|
|
New ports: A=2'01, B=2'10, Y={ $flatten\GEN_NP[1].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [7] $flatten\GEN_NP[1].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
New connections: $flatten\GEN_NP[1].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [6:1] = { $flatten\GEN_NP[1].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[1].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[1].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[1].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[1].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[1].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
Consolidated identical input bits for $pmux cell $flatten\GEN_NP[1].u_np.$procmux$578:
|
|
Old ports: A=4'0110, B=24'000100100011010001010000, Y=$flatten\GEN_NP[1].u_np.$procmux$578_Y
|
|
New ports: A=3'110, B=18'001010011100101000, Y=$flatten\GEN_NP[1].u_np.$procmux$578_Y [2:0]
|
|
New connections: $flatten\GEN_NP[1].u_np.$procmux$578_Y [3] = 1'0
|
|
Consolidated identical input bits for $mux cell $flatten\GEN_NP[4].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326:
|
|
Old ports: A=8'01111111, B=8'10000000, Y=$flatten\GEN_NP[4].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y
|
|
New ports: A=2'01, B=2'10, Y={ $flatten\GEN_NP[4].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [7] $flatten\GEN_NP[4].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
New connections: $flatten\GEN_NP[4].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [6:1] = { $flatten\GEN_NP[4].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[4].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[4].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[4].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[4].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[4].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
Consolidated identical input bits for $mux cell $flatten\GEN_NP[0].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326:
|
|
Old ports: A=8'01111111, B=8'10000000, Y=$flatten\GEN_NP[0].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y
|
|
New ports: A=2'01, B=2'10, Y={ $flatten\GEN_NP[0].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [7] $flatten\GEN_NP[0].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
New connections: $flatten\GEN_NP[0].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [6:1] = { $flatten\GEN_NP[0].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[0].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[0].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[0].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[0].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] $flatten\GEN_NP[0].u_np.$ternary$hardware/v2/rtl/neural_processor.v:264$326_Y [0] }
|
|
Consolidated identical input bits for $pmux cell $flatten\GEN_NP[0].u_np.$procmux$578:
|
|
Old ports: A=4'0110, B=24'000100100011010001010000, Y=$flatten\GEN_NP[0].u_np.$procmux$578_Y
|
|
New ports: A=3'110, B=18'001010011100101000, Y=$flatten\GEN_NP[0].u_np.$procmux$578_Y [2:0]
|
|
New connections: $flatten\GEN_NP[0].u_np.$procmux$578_Y [3] = 1'0
|
|
Consolidated identical input bits for $pmux cell $flatten\GEN_NP[6].u_np.$procmux$578:
|
|
Old ports: A=4'0110, B=24'000100100011010001010000, Y=$flatten\GEN_NP[6].u_np.$procmux$578_Y
|
|
New ports: A=3'110, B=18'001010011100101000, Y=$flatten\GEN_NP[6].u_np.$procmux$578_Y [2:0]
|
|
New connections: $flatten\GEN_NP[6].u_np.$procmux$578_Y [3] = 1'0
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 16 changes.
|
|
|
|
4.32.5. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 977 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.32.6. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.32.7. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.32.8. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.32.9. Rerunning OPT passes. (Maybe there is more to do..)
|
|
|
|
4.32.10. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
Evaluating internal representation of mux trees.
|
|
Analyzing evaluation results.
|
|
Removed 0 multiplexer ports.
|
|
<suppressed ~80 debug messages>
|
|
|
|
4.32.11. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 0 changes.
|
|
|
|
4.32.12. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 977 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.32.13. Executing OPT_DFF pass (perform DFF optimizations).
|
|
Setting constant 0-bit at position 3 on $auto$ff.cc:337:slice$1628 ($sdffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 3 on $auto$ff.cc:337:slice$1786 ($sdffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 3 on $auto$ff.cc:337:slice$1470 ($sdffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 3 on $auto$ff.cc:337:slice$1944 ($sdffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 3 on $auto$ff.cc:337:slice$2102 ($sdffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 3 on $auto$ff.cc:337:slice$1312 ($sdffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 3 on $auto$ff.cc:337:slice$1154 ($sdffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Setting constant 0-bit at position 3 on $auto$ff.cc:337:slice$996 ($sdffe) from module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.32.14. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.32.15. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
<suppressed ~8 debug messages>
|
|
|
|
4.32.16. Rerunning OPT passes. (Maybe there is more to do..)
|
|
|
|
4.32.17. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
Evaluating internal representation of mux trees.
|
|
Analyzing evaluation results.
|
|
Removed 0 multiplexer ports.
|
|
<suppressed ~80 debug messages>
|
|
|
|
4.32.18. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 0 changes.
|
|
|
|
4.32.19. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 977 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.32.20. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.32.21. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.32.22. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.32.23. Finished fast OPT passes. (There is nothing left to do.)
|
|
|
|
4.33. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.33.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/techmap.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/techmap.v' to AST representation.
|
|
Generating RTLIL representation for module `\_90_simplemap_bool_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_reduce_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_logic_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_compare_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_various'.
|
|
Generating RTLIL representation for module `\_90_simplemap_registers'.
|
|
Generating RTLIL representation for module `\_90_shift_ops_shr_shl_sshl_sshr'.
|
|
Generating RTLIL representation for module `\_90_shift_shiftx'.
|
|
Generating RTLIL representation for module `\_90_fa'.
|
|
Generating RTLIL representation for module `\_90_lcu_brent_kung'.
|
|
Generating RTLIL representation for module `\_90_alu'.
|
|
Generating RTLIL representation for module `\_90_macc'.
|
|
Generating RTLIL representation for module `\_90_alumacc'.
|
|
Generating RTLIL representation for module `$__div_mod_u'.
|
|
Generating RTLIL representation for module `$__div_mod_trunc'.
|
|
Generating RTLIL representation for module `\_90_div'.
|
|
Generating RTLIL representation for module `\_90_mod'.
|
|
Generating RTLIL representation for module `$__div_mod_floor'.
|
|
Generating RTLIL representation for module `\_90_divfloor'.
|
|
Generating RTLIL representation for module `\_90_modfloor'.
|
|
Generating RTLIL representation for module `\_90_pow'.
|
|
Generating RTLIL representation for module `\_90_demux'.
|
|
Generating RTLIL representation for module `\_90_lut'.
|
|
Generating RTLIL representation for module `$connect'.
|
|
Generating RTLIL representation for module `$input_port'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.33.2. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/lattice/arith_map_ccu2c.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/lattice/arith_map_ccu2c.v' to AST representation.
|
|
Generating RTLIL representation for module `\_80_ccu2c_alu'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.33.3. Continuing TECHMAP pass.
|
|
Using extmapper simplemap for cells of type $sdffe.
|
|
Using template $paramod$2653f68ddb8eab7b1907b4a20767b72a824a7a36\_80_ccu2c_alu for cells of type $alu.
|
|
Using template $paramod$2470b7ea32c975a55c3ab8b283381b72d09e16d3\_80_ccu2c_alu for cells of type $alu.
|
|
Using template $paramod$8fdcfe020be5e507ba05385ffd706e02b549d39d\_80_ccu2c_alu for cells of type $alu.
|
|
Using extmapper simplemap for cells of type $sdff.
|
|
Using extmapper simplemap for cells of type $reduce_and.
|
|
Using extmapper simplemap for cells of type $ne.
|
|
Using extmapper simplemap for cells of type $reduce_bool.
|
|
Using extmapper simplemap for cells of type $not.
|
|
Using extmapper simplemap for cells of type $dffe.
|
|
Using extmapper simplemap for cells of type $reduce_or.
|
|
Using extmapper simplemap for cells of type $dff.
|
|
Using extmapper simplemap for cells of type $mux.
|
|
Using extmapper simplemap for cells of type $logic_not.
|
|
Using extmapper simplemap for cells of type $eq.
|
|
Using extmapper simplemap for cells of type $pmux.
|
|
Using extmapper simplemap for cells of type $logic_and.
|
|
Using extmapper simplemap for cells of type $logic_or.
|
|
Using extmapper simplemap for cells of type $or.
|
|
Using extmapper simplemap for cells of type $xor.
|
|
Using extmapper simplemap for cells of type $pos.
|
|
No more expansions possible.
|
|
<suppressed ~5175 debug messages>
|
|
|
|
4.34. Executing OPT pass (performing simple optimizations).
|
|
|
|
4.34.1. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
<suppressed ~2632 debug messages>
|
|
|
|
4.34.2. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 14705 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 13840 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 13120 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
<suppressed ~4755 debug messages>
|
|
Removed a total of 1585 cells.
|
|
|
|
4.34.3. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.34.4. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Removed 6208 unused cells and 5704 unused wires.
|
|
<suppressed ~6209 debug messages>
|
|
|
|
4.34.5. Finished fast OPT passes.
|
|
|
|
4.35. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.36. Executing DFFLEGALIZE pass (convert FFs to types supported by the target).
|
|
|
|
4.37. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 6912 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.38. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.38.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/lattice/cells_map_trellis.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/lattice/cells_map_trellis.v' to AST representation.
|
|
Generating RTLIL representation for module `$_DFF_N_'.
|
|
Generating RTLIL representation for module `$_DFF_P_'.
|
|
Generating RTLIL representation for module `$_DFFE_NN_'.
|
|
Generating RTLIL representation for module `$_DFFE_PN_'.
|
|
Generating RTLIL representation for module `$_DFFE_NP_'.
|
|
Generating RTLIL representation for module `$_DFFE_PP_'.
|
|
Generating RTLIL representation for module `$_DFF_NP0_'.
|
|
Generating RTLIL representation for module `$_DFF_NP1_'.
|
|
Generating RTLIL representation for module `$_DFF_PP0_'.
|
|
Generating RTLIL representation for module `$_DFF_PP1_'.
|
|
Generating RTLIL representation for module `$_SDFF_NP0_'.
|
|
Generating RTLIL representation for module `$_SDFF_NP1_'.
|
|
Generating RTLIL representation for module `$_SDFF_PP0_'.
|
|
Generating RTLIL representation for module `$_SDFF_PP1_'.
|
|
Generating RTLIL representation for module `$_DFFE_NP0P_'.
|
|
Generating RTLIL representation for module `$_DFFE_NP1P_'.
|
|
Generating RTLIL representation for module `$_DFFE_PP0P_'.
|
|
Generating RTLIL representation for module `$_DFFE_PP1P_'.
|
|
Generating RTLIL representation for module `$_DFFE_NP0N_'.
|
|
Generating RTLIL representation for module `$_DFFE_NP1N_'.
|
|
Generating RTLIL representation for module `$_DFFE_PP0N_'.
|
|
Generating RTLIL representation for module `$_DFFE_PP1N_'.
|
|
Generating RTLIL representation for module `$_SDFFE_NP0P_'.
|
|
Generating RTLIL representation for module `$_SDFFE_NP1P_'.
|
|
Generating RTLIL representation for module `$_SDFFE_PP0P_'.
|
|
Generating RTLIL representation for module `$_SDFFE_PP1P_'.
|
|
Generating RTLIL representation for module `$_SDFFE_NP0N_'.
|
|
Generating RTLIL representation for module `$_SDFFE_NP1N_'.
|
|
Generating RTLIL representation for module `$_SDFFE_PP0N_'.
|
|
Generating RTLIL representation for module `$_SDFFE_PP1N_'.
|
|
Generating RTLIL representation for module `$_ALDFF_NP_'.
|
|
Generating RTLIL representation for module `$_ALDFF_PP_'.
|
|
Generating RTLIL representation for module `$_ALDFFE_NPN_'.
|
|
Generating RTLIL representation for module `$_ALDFFE_NPP_'.
|
|
Generating RTLIL representation for module `$_ALDFFE_PPN_'.
|
|
Generating RTLIL representation for module `$_ALDFFE_PPP_'.
|
|
Generating RTLIL representation for module `\FD1P3AX'.
|
|
Generating RTLIL representation for module `\FD1P3AY'.
|
|
Generating RTLIL representation for module `\FD1P3BX'.
|
|
Generating RTLIL representation for module `\FD1P3DX'.
|
|
Generating RTLIL representation for module `\FD1P3IX'.
|
|
Generating RTLIL representation for module `\FD1P3JX'.
|
|
Generating RTLIL representation for module `\FD1S3AX'.
|
|
Generating RTLIL representation for module `\FD1S3AY'.
|
|
Generating RTLIL representation for module `\FD1S3BX'.
|
|
Generating RTLIL representation for module `\FD1S3DX'.
|
|
Generating RTLIL representation for module `\FD1S3IX'.
|
|
Generating RTLIL representation for module `\FD1S3JX'.
|
|
Generating RTLIL representation for module `\IFS1P3BX'.
|
|
Generating RTLIL representation for module `\IFS1P3DX'.
|
|
Generating RTLIL representation for module `\IFS1P3IX'.
|
|
Generating RTLIL representation for module `\IFS1P3JX'.
|
|
Generating RTLIL representation for module `\OFS1P3BX'.
|
|
Generating RTLIL representation for module `\OFS1P3DX'.
|
|
Generating RTLIL representation for module `\OFS1P3IX'.
|
|
Generating RTLIL representation for module `\OFS1P3JX'.
|
|
Generating RTLIL representation for module `\IB'.
|
|
Generating RTLIL representation for module `\IBPU'.
|
|
Generating RTLIL representation for module `\IBPD'.
|
|
Generating RTLIL representation for module `\OB'.
|
|
Generating RTLIL representation for module `\OBZ'.
|
|
Generating RTLIL representation for module `\OBZPU'.
|
|
Generating RTLIL representation for module `\OBZPD'.
|
|
Generating RTLIL representation for module `\OBCO'.
|
|
Generating RTLIL representation for module `\BB'.
|
|
Generating RTLIL representation for module `\BBPU'.
|
|
Generating RTLIL representation for module `\BBPD'.
|
|
Generating RTLIL representation for module `\ILVDS'.
|
|
Generating RTLIL representation for module `\OLVDS'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.38.2. Continuing TECHMAP pass.
|
|
Using template $paramod$_DFF_P_\_TECHMAP_WIREINIT_Q_=1'x for cells of type $_DFF_P_.
|
|
Using template $paramod$_DFFE_PP_\_TECHMAP_WIREINIT_Q_=1'x for cells of type $_DFFE_PP_.
|
|
Using template $_SDFF_PP0_ for cells of type $_SDFF_PP0_.
|
|
Using template $paramod$_DFFE_PN_\_TECHMAP_WIREINIT_Q_=1'x for cells of type $_DFFE_PN_.
|
|
Using template $_SDFFE_PP0P_ for cells of type $_SDFFE_PP0P_.
|
|
Using template $_SDFFE_PP1P_ for cells of type $_SDFFE_PP1P_.
|
|
No more expansions possible.
|
|
<suppressed ~4592 debug messages>
|
|
|
|
4.39. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.40. Executing SIMPLEMAP pass (map simple cells to gate primitives).
|
|
|
|
4.41. Executing LATTICE_GSR pass (implement FF init values).
|
|
Handling GSR in $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.42. Executing ATTRMVCP pass (move or copy attributes).
|
|
|
|
4.43. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Removed 0 unused cells and 21816 unused wires.
|
|
<suppressed ~1 debug messages>
|
|
|
|
4.44. Executing CHECK pass (checking for obvious problems).
|
|
Checking module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000...
|
|
Found and reported 0 problems.
|
|
|
|
4.45. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.45.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/lattice/latches_map.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/lattice/latches_map.v' to AST representation.
|
|
Generating RTLIL representation for module `$_DLATCH_N_'.
|
|
Generating RTLIL representation for module `$_DLATCH_P_'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.45.2. Continuing TECHMAP pass.
|
|
No more expansions possible.
|
|
<suppressed ~4 debug messages>
|
|
|
|
4.46. Executing ABC9 pass.
|
|
|
|
4.46.1. Executing ABC9_OPS pass (helper functions for ABC9).
|
|
|
|
4.46.2. Executing ABC9_OPS pass (helper functions for ABC9).
|
|
|
|
4.46.3. Executing SCC pass (detecting logic loops).
|
|
Found 0 SCCs in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Found 0 SCCs.
|
|
|
|
4.46.4. Executing ABC9_OPS pass (helper functions for ABC9).
|
|
|
|
4.46.5. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.46.5.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/techmap.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/techmap.v' to AST representation.
|
|
Generating RTLIL representation for module `\_90_simplemap_bool_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_reduce_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_logic_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_compare_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_various'.
|
|
Generating RTLIL representation for module `\_90_simplemap_registers'.
|
|
Generating RTLIL representation for module `\_90_shift_ops_shr_shl_sshl_sshr'.
|
|
Generating RTLIL representation for module `\_90_shift_shiftx'.
|
|
Generating RTLIL representation for module `\_90_fa'.
|
|
Generating RTLIL representation for module `\_90_lcu_brent_kung'.
|
|
Generating RTLIL representation for module `\_90_alu'.
|
|
Generating RTLIL representation for module `\_90_macc'.
|
|
Generating RTLIL representation for module `\_90_alumacc'.
|
|
Generating RTLIL representation for module `$__div_mod_u'.
|
|
Generating RTLIL representation for module `$__div_mod_trunc'.
|
|
Generating RTLIL representation for module `\_90_div'.
|
|
Generating RTLIL representation for module `\_90_mod'.
|
|
Generating RTLIL representation for module `$__div_mod_floor'.
|
|
Generating RTLIL representation for module `\_90_divfloor'.
|
|
Generating RTLIL representation for module `\_90_modfloor'.
|
|
Generating RTLIL representation for module `\_90_pow'.
|
|
Generating RTLIL representation for module `\_90_demux'.
|
|
Generating RTLIL representation for module `\_90_lut'.
|
|
Generating RTLIL representation for module `$connect'.
|
|
Generating RTLIL representation for module `$input_port'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.46.5.2. Continuing TECHMAP pass.
|
|
No more expansions possible.
|
|
<suppressed ~166 debug messages>
|
|
|
|
4.46.6. Executing OPT pass (performing simple optimizations).
|
|
|
|
4.46.6.1. Executing OPT_EXPR pass (perform const folding).
|
|
|
|
4.46.6.2. Executing OPT_MERGE pass (detect identical cells).
|
|
Removed a total of 0 cells.
|
|
|
|
4.46.6.3. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Removed 0 multiplexer ports.
|
|
|
|
4.46.6.4. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Performed a total of 0 changes.
|
|
|
|
4.46.6.5. Executing OPT_MERGE pass (detect identical cells).
|
|
Removed a total of 0 cells.
|
|
|
|
4.46.6.6. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.46.6.7. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
|
|
4.46.6.8. Executing OPT_EXPR pass (perform const folding).
|
|
|
|
4.46.6.9. Finished fast OPT passes. (There is nothing left to do.)
|
|
|
|
4.46.7. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.46.7.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/abc9_map.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/abc9_map.v' to AST representation.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.46.7.2. Continuing TECHMAP pass.
|
|
No more expansions possible.
|
|
<suppressed ~2 debug messages>
|
|
|
|
4.46.8. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/abc9_model.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/abc9_model.v' to AST representation.
|
|
Generating RTLIL representation for module `$__ABC9_DELAY'.
|
|
Generating RTLIL representation for module `$__ABC9_SCC_BREAKER'.
|
|
Generating RTLIL representation for module `$__DFF_N__$abc9_flop'.
|
|
Generating RTLIL representation for module `$__DFF_P__$abc9_flop'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.46.9. Executing ABC9_OPS pass (helper functions for ABC9).
|
|
<suppressed ~2 debug messages>
|
|
|
|
4.46.10. Executing ABC9_OPS pass (helper functions for ABC9).
|
|
|
|
4.46.11. Executing ABC9_OPS pass (helper functions for ABC9).
|
|
<suppressed ~2 debug messages>
|
|
|
|
4.46.12. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.46.12.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/techmap.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/techmap.v' to AST representation.
|
|
Generating RTLIL representation for module `\_90_simplemap_bool_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_reduce_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_logic_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_compare_ops'.
|
|
Generating RTLIL representation for module `\_90_simplemap_various'.
|
|
Generating RTLIL representation for module `\_90_simplemap_registers'.
|
|
Generating RTLIL representation for module `\_90_shift_ops_shr_shl_sshl_sshr'.
|
|
Generating RTLIL representation for module `\_90_shift_shiftx'.
|
|
Generating RTLIL representation for module `\_90_fa'.
|
|
Generating RTLIL representation for module `\_90_lcu_brent_kung'.
|
|
Generating RTLIL representation for module `\_90_alu'.
|
|
Generating RTLIL representation for module `\_90_macc'.
|
|
Generating RTLIL representation for module `\_90_alumacc'.
|
|
Generating RTLIL representation for module `$__div_mod_u'.
|
|
Generating RTLIL representation for module `$__div_mod_trunc'.
|
|
Generating RTLIL representation for module `\_90_div'.
|
|
Generating RTLIL representation for module `\_90_mod'.
|
|
Generating RTLIL representation for module `$__div_mod_floor'.
|
|
Generating RTLIL representation for module `\_90_divfloor'.
|
|
Generating RTLIL representation for module `\_90_modfloor'.
|
|
Generating RTLIL representation for module `\_90_pow'.
|
|
Generating RTLIL representation for module `\_90_demux'.
|
|
Generating RTLIL representation for module `\_90_lut'.
|
|
Generating RTLIL representation for module `$connect'.
|
|
Generating RTLIL representation for module `$input_port'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.46.12.2. Continuing TECHMAP pass.
|
|
Using template $paramod$838872d5a4bab89607f53482b205c0fd50d8b82e\CCU2C for cells of type $paramod$838872d5a4bab89607f53482b205c0fd50d8b82e\CCU2C.
|
|
Using extmapper simplemap for cells of type $or.
|
|
Using extmapper simplemap for cells of type $and.
|
|
Using extmapper simplemap for cells of type $not.
|
|
Using extmapper simplemap for cells of type $xor.
|
|
Using template $paramod\LUT2\INIT=4'1010 for cells of type LUT2.
|
|
Using template $paramod\LUT4\INIT=16'1001011010101010 for cells of type LUT4.
|
|
Using extmapper simplemap for cells of type $mux.
|
|
No more expansions possible.
|
|
<suppressed ~205 debug messages>
|
|
|
|
4.46.13. Executing OPT pass (performing simple optimizations).
|
|
|
|
4.46.13.1. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
<suppressed ~18 debug messages>
|
|
|
|
4.46.13.2. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 59 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 57 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
<suppressed ~6 debug messages>
|
|
Removed a total of 2 cells.
|
|
|
|
4.46.13.3. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
No muxes found in this module.
|
|
Removed 0 multiplexer ports.
|
|
|
|
4.46.13.4. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 0 changes.
|
|
|
|
4.46.13.5. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 57 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.46.13.6. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.46.13.7. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Removed 0 unused cells and 55 unused wires.
|
|
<suppressed ~1 debug messages>
|
|
|
|
4.46.13.8. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.46.13.9. Rerunning OPT passes. (Maybe there is more to do..)
|
|
|
|
4.46.13.10. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
|
|
Running muxtree optimizer on module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
Creating internal representation of mux trees.
|
|
No muxes found in this module.
|
|
Removed 0 multiplexer ports.
|
|
|
|
4.46.13.11. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
|
|
Optimizing cells in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Performed a total of 0 changes.
|
|
|
|
4.46.13.12. Executing OPT_MERGE pass (detect identical cells).
|
|
Finding identical cells in module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Computing hashes of 57 cells of `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Finding duplicate cells in `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'.
|
|
Removed a total of 0 cells.
|
|
|
|
4.46.13.13. Executing OPT_DFF pass (perform DFF optimizations).
|
|
|
|
4.46.13.14. Executing OPT_CLEAN pass (remove unused cells and wires).
|
|
Finding unused cells or wires in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000..
|
|
|
|
4.46.13.15. Executing OPT_EXPR pass (perform const folding).
|
|
Optimizing module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.46.13.16. Finished fast OPT passes. (There is nothing left to do.)
|
|
|
|
4.46.14. Executing AIGMAP pass (map logic to AIG).
|
|
Module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000: replaced 18 cells with 120 new cells, skipped 39 cells.
|
|
replaced 3 cell types:
|
|
14 $_MUX_
|
|
2 $_OR_
|
|
2 $_XOR_
|
|
not replaced 3 cell types:
|
|
4 $_AND_
|
|
4 $_NOT_
|
|
31 $specify2
|
|
|
|
4.46.15. Executing AIGMAP pass (map logic to AIG).
|
|
Module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000: replaced 1008 cells with 4872 new cells, skipped 5904 cells.
|
|
replaced 2 cell types:
|
|
280 $_MUX_
|
|
728 $_OR_
|
|
not replaced 6 cell types:
|
|
303 $_AND_
|
|
113 $_NOT_
|
|
8 $scopeinfo
|
|
4488 TRELLIS_FF
|
|
64 MULT18X18D
|
|
928 $paramod$838872d5a4bab89607f53482b205c0fd50d8b82e\CCU2C
|
|
|
|
4.46.15.1. Executing ABC9_OPS pass (helper functions for ABC9).
|
|
|
|
4.46.15.2. Executing ABC9_OPS pass (helper functions for ABC9).
|
|
|
|
4.46.15.3. Executing XAIGER backend.
|
|
<suppressed ~11 debug messages>
|
|
Extracted 1871 AND gates and 15555 wires from module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000' to a netlist network with 6778 inputs and 4584 outputs.
|
|
|
|
4.46.15.4. Executing ABC9_EXE pass (technology mapping using ABC9).
|
|
|
|
4.46.15.5. Executing ABC9.
|
|
Running ABC command: "<yosys-exe-dir>/yosys-abc" -s -f <abc-temp-dir>/abc.script 2>&1
|
|
ABC: ======== ABC command line "source <abc-temp-dir>/abc.script"
|
|
ABC: + read_lut <abc-temp-dir>/input.lut
|
|
ABC: + read_box <abc-temp-dir>/input.box
|
|
ABC: + &read <abc-temp-dir>/input.xaig
|
|
ABC: + &ps
|
|
ABC: <abc-temp-dir>/input : i/o = 6778/ 4584 and = 1583 lev = 12 (0.10) mem = 0.36 MB box = 928 bb = 0
|
|
ABC: + &scorr
|
|
ABC: Warning: The network is combinational.
|
|
ABC: + &sweep
|
|
ABC: + &dc2
|
|
ABC: + &dch -f -r
|
|
ABC: + &ps
|
|
ABC: <abc-temp-dir>/input : i/o = 6778/ 4584 and = 1925 lev = 11 (0.08) mem = 0.35 MB ch = 175 box = 816 bb = 0
|
|
ABC: cst = 0 cls = 162 lit = 175 unused = 10814 proof = 0
|
|
ABC: + &if -W 300 -v
|
|
ABC: K = 7. Memory (bytes): Truth = 0. Cut = 76. Obj = 156. Set = 780. CutMin = no
|
|
ABC: Node = 1925. Ch = 162. Total mem = 3.79 MB. Peak cut mem = 0.09 MB.
|
|
ABC: P: Del = 2464.00. Ar = 1673.0. Edge = 2230. Cut = 15435. T = 0.00 sec
|
|
ABC: P: Del = 2464.00. Ar = 1395.0. Edge = 2080. Cut = 15458. T = 0.00 sec
|
|
ABC: P: Del = 2464.00. Ar = 1111.0. Edge = 2032. Cut = 27520. T = 0.00 sec
|
|
ABC: F: Del = 2464.00. Ar = 899.0. Edge = 1907. Cut = 17883. T = 0.00 sec
|
|
ABC: A: Del = 2464.00. Ar = 872.0. Edge = 1838. Cut = 17289. T = 0.00 sec
|
|
ABC: A: Del = 2464.00. Ar = 872.0. Edge = 1836. Cut = 17061. T = 0.00 sec
|
|
ABC: Total time = 0.02 sec
|
|
ABC: + &write -n <abc-temp-dir>/output.aig
|
|
ABC: + &mfs
|
|
ABC: + &ps -l
|
|
ABC: <abc-temp-dir>/input : i/o = 6778/ 4584 and = 1168 lev = 11 (0.08) mem = 0.34 MB box = 816 bb = 0
|
|
ABC: Mapping (K=7) : lut = 402 edge = 1458 lev = 5 (0.04) levB = 16 mem = 0.09 MB
|
|
ABC: LUT = 402 : 2=85 21.1 % 3=68 16.9 % 4=182 45.3 % 5=51 12.7 % 6=11 2.7 % 7=5 1.2 % Ave = 3.63
|
|
ABC: + &write -n <abc-temp-dir>/output.aig
|
|
ABC: + &verify
|
|
ABC: Networks are equivalent. Time = 0.07 sec
|
|
ABC: + time
|
|
ABC: elapse: 0.23 seconds, total: 0.23 seconds
|
|
|
|
4.46.15.6. Executing AIGER frontend.
|
|
<suppressed ~10 debug messages>
|
|
Removed 1474 unused cells and 19821 unused wires.
|
|
|
|
4.46.15.7. Executing ABC_OPS_REINTEGRATE pass (reintegrate ABC mapped design into module).
|
|
ABC RESULTS: $lut cells: 410
|
|
ABC RESULTS: $paramod$838872d5a4bab89607f53482b205c0fd50d8b82e\CCU2C cells: 816
|
|
ABC RESULTS: input signals: 182
|
|
ABC RESULTS: output signals: 463
|
|
<suppressed ~22836 debug messages>
|
|
Removing temp directory.
|
|
|
|
4.46.16. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.46.16.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/abc9_unmap.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/abc9_unmap.v' to AST representation.
|
|
Generating RTLIL representation for module `$__DFF_x__$abc9_flop'.
|
|
Generating RTLIL representation for module `$__ABC9_SCC_BREAKER'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.46.16.2. Continuing TECHMAP pass.
|
|
Using template $paramod$838872d5a4bab89607f53482b205c0fd50d8b82e\CCU2C for cells of type $paramod$838872d5a4bab89607f53482b205c0fd50d8b82e\CCU2C.
|
|
No more expansions possible.
|
|
<suppressed ~822 debug messages>
|
|
Removed 43 unused cells and 27264 unused wires.
|
|
|
|
4.47. Executing TECHMAP pass (map to technology primitives).
|
|
|
|
4.47.1. Executing Verilog-2005 frontend: /opt/homebrew/bin/../share/yosys/lattice/cells_map_trellis.v
|
|
Parsing Verilog input from `/opt/homebrew/bin/../share/yosys/lattice/cells_map_trellis.v' to AST representation.
|
|
Generating RTLIL representation for module `$_DFF_N_'.
|
|
Generating RTLIL representation for module `$_DFF_P_'.
|
|
Generating RTLIL representation for module `$_DFFE_NN_'.
|
|
Generating RTLIL representation for module `$_DFFE_PN_'.
|
|
Generating RTLIL representation for module `$_DFFE_NP_'.
|
|
Generating RTLIL representation for module `$_DFFE_PP_'.
|
|
Generating RTLIL representation for module `$_DFF_NP0_'.
|
|
Generating RTLIL representation for module `$_DFF_NP1_'.
|
|
Generating RTLIL representation for module `$_DFF_PP0_'.
|
|
Generating RTLIL representation for module `$_DFF_PP1_'.
|
|
Generating RTLIL representation for module `$_SDFF_NP0_'.
|
|
Generating RTLIL representation for module `$_SDFF_NP1_'.
|
|
Generating RTLIL representation for module `$_SDFF_PP0_'.
|
|
Generating RTLIL representation for module `$_SDFF_PP1_'.
|
|
Generating RTLIL representation for module `$_DFFE_NP0P_'.
|
|
Generating RTLIL representation for module `$_DFFE_NP1P_'.
|
|
Generating RTLIL representation for module `$_DFFE_PP0P_'.
|
|
Generating RTLIL representation for module `$_DFFE_PP1P_'.
|
|
Generating RTLIL representation for module `$_DFFE_NP0N_'.
|
|
Generating RTLIL representation for module `$_DFFE_NP1N_'.
|
|
Generating RTLIL representation for module `$_DFFE_PP0N_'.
|
|
Generating RTLIL representation for module `$_DFFE_PP1N_'.
|
|
Generating RTLIL representation for module `$_SDFFE_NP0P_'.
|
|
Generating RTLIL representation for module `$_SDFFE_NP1P_'.
|
|
Generating RTLIL representation for module `$_SDFFE_PP0P_'.
|
|
Generating RTLIL representation for module `$_SDFFE_PP1P_'.
|
|
Generating RTLIL representation for module `$_SDFFE_NP0N_'.
|
|
Generating RTLIL representation for module `$_SDFFE_NP1N_'.
|
|
Generating RTLIL representation for module `$_SDFFE_PP0N_'.
|
|
Generating RTLIL representation for module `$_SDFFE_PP1N_'.
|
|
Generating RTLIL representation for module `$_ALDFF_NP_'.
|
|
Generating RTLIL representation for module `$_ALDFF_PP_'.
|
|
Generating RTLIL representation for module `$_ALDFFE_NPN_'.
|
|
Generating RTLIL representation for module `$_ALDFFE_NPP_'.
|
|
Generating RTLIL representation for module `$_ALDFFE_PPN_'.
|
|
Generating RTLIL representation for module `$_ALDFFE_PPP_'.
|
|
Generating RTLIL representation for module `\FD1P3AX'.
|
|
Generating RTLIL representation for module `\FD1P3AY'.
|
|
Generating RTLIL representation for module `\FD1P3BX'.
|
|
Generating RTLIL representation for module `\FD1P3DX'.
|
|
Generating RTLIL representation for module `\FD1P3IX'.
|
|
Generating RTLIL representation for module `\FD1P3JX'.
|
|
Generating RTLIL representation for module `\FD1S3AX'.
|
|
Generating RTLIL representation for module `\FD1S3AY'.
|
|
Generating RTLIL representation for module `\FD1S3BX'.
|
|
Generating RTLIL representation for module `\FD1S3DX'.
|
|
Generating RTLIL representation for module `\FD1S3IX'.
|
|
Generating RTLIL representation for module `\FD1S3JX'.
|
|
Generating RTLIL representation for module `\IFS1P3BX'.
|
|
Generating RTLIL representation for module `\IFS1P3DX'.
|
|
Generating RTLIL representation for module `\IFS1P3IX'.
|
|
Generating RTLIL representation for module `\IFS1P3JX'.
|
|
Generating RTLIL representation for module `\OFS1P3BX'.
|
|
Generating RTLIL representation for module `\OFS1P3DX'.
|
|
Generating RTLIL representation for module `\OFS1P3IX'.
|
|
Generating RTLIL representation for module `\OFS1P3JX'.
|
|
Generating RTLIL representation for module `\IB'.
|
|
Generating RTLIL representation for module `\IBPU'.
|
|
Generating RTLIL representation for module `\IBPD'.
|
|
Generating RTLIL representation for module `\OB'.
|
|
Generating RTLIL representation for module `\OBZ'.
|
|
Generating RTLIL representation for module `\OBZPU'.
|
|
Generating RTLIL representation for module `\OBZPD'.
|
|
Generating RTLIL representation for module `\OBCO'.
|
|
Generating RTLIL representation for module `\BB'.
|
|
Generating RTLIL representation for module `\BBPU'.
|
|
Generating RTLIL representation for module `\BBPD'.
|
|
Generating RTLIL representation for module `\ILVDS'.
|
|
Generating RTLIL representation for module `\OLVDS'.
|
|
Generating RTLIL representation for module `$lut'.
|
|
Successfully finished Verilog frontend.
|
|
|
|
4.47.2. Continuing TECHMAP pass.
|
|
Using template $paramod$571404c0889eaf57f492cb5e37f8acb5df5852f9$lut for cells of type $lut.
|
|
Using template $paramod$251994398653c4cf8de320f1e306e535d5d2d624$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000010\LUT=4'1000 for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000011\LUT=8'10000000 for cells of type $lut.
|
|
Using template $paramod$658b9ed803f0d3d335616d3858b53e0a2522f1e8$lut for cells of type $lut.
|
|
Using template $paramod$6e238df02989b317f10820a22773676e71120644$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000010\LUT=4'0001 for cells of type $lut.
|
|
Using template $paramod$eba7de026ff587370e320127e266317dae097a89$lut for cells of type $lut.
|
|
Using template $paramod$8adf7fbd410d2cc654c288d5be5f7508ee8809b0$lut for cells of type $lut.
|
|
Using template $paramod$89ddbc2adee46e16a995ee97de1cb5a2b3106788$lut for cells of type $lut.
|
|
Using template $paramod$f2bea6ad6f7219aba06128fe25fddf241d0cc7c0$lut for cells of type $lut.
|
|
Using template $paramod$a1d56211abfa1aaa7a2cc9b3a3197892923d914b$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000011\LUT=8'11001010 for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000011\LUT=8'00000001 for cells of type $lut.
|
|
Using template $paramod$ee19d45db61acb4c70d938b97483a4ed4b792645$lut for cells of type $lut.
|
|
Using template $paramod$cbb2dfe31d344d3326d567c2ed5a4b2a29f63219$lut for cells of type $lut.
|
|
Using template $paramod$c362ad8dedc7d166ed978091aca319ab1e81a2d4$lut for cells of type $lut.
|
|
Using template $paramod$82b4a585d1edcb5c6e755dc9bd3392228a1c1304$lut for cells of type $lut.
|
|
Using template $paramod$4fec704ca41b191c5698b11d275c5f0cc4d8803f$lut for cells of type $lut.
|
|
Using template $paramod$fed1f2477f15205968a04858fcf19779910366aa$lut for cells of type $lut.
|
|
Using template $paramod$61ca9707bfdd70929dcab8505315b1567d75578f$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000011\LUT=8'11111101 for cells of type $lut.
|
|
Using template $paramod$8c24dc0cdd336b7fb88bbf7eed45cec5cbae862b$lut for cells of type $lut.
|
|
Using template $paramod$6d6beead1425af15cf78b27fd9b11b41b5d4bce8$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000011\LUT=8'11001110 for cells of type $lut.
|
|
Using template $paramod$272652f6c6fbe9a75eff76e45cc7e2788835518b$lut for cells of type $lut.
|
|
Using template $paramod$a191129d10a368b82781b98ff31865427345b51c$lut for cells of type $lut.
|
|
Using template $paramod$14dbde2ea6922d1b033e13c97c0fa9afcae709af$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000011\LUT=8'10011100 for cells of type $lut.
|
|
Using template $paramod$33e58adf67c6b686a154c9ce8ebbc4b04b8cabc5$lut for cells of type $lut.
|
|
Using template $paramod$3ecf9ddef4604dcf386e9244fca9c73d93eaac60$lut for cells of type $lut.
|
|
Using template $paramod$1c0b02bad8ada563354b10a04b512fba38cd212e$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000011\LUT=8'00000111 for cells of type $lut.
|
|
Using template $paramod$5a527430b646393654b4de3295853cf21b4e2a56$lut for cells of type $lut.
|
|
Using template $paramod$8e44661def013b6bf9fe6f8b049ef2c838d749f9$lut for cells of type $lut.
|
|
Using template $paramod$3fd3cd243a8b2f71b0ffe04bdaebf6ad83bcc78e$lut for cells of type $lut.
|
|
Using template $paramod$c600b4b1adc22857e1c1ba3b6aeb516fabe09da0$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000011\LUT=8'00000100 for cells of type $lut.
|
|
Using template $paramod$3cc23b52295e27650a2d53ce7ba18f78e0c33c78$lut for cells of type $lut.
|
|
Using template $paramod$4b2297966ddb718657b80566604f97685ffc0120$lut for cells of type $lut.
|
|
Using template $paramod$1578333f1a5078051b84dbcbad362e8087bf5284$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000011\LUT=8'01000000 for cells of type $lut.
|
|
Using template $paramod$4853050665c020c8d21fb1a749196950a09d9df8$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000011\LUT=8'11000100 for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000010\LUT=4'0010 for cells of type $lut.
|
|
Using template $paramod$332a399730bfc61adea04021a76b1c4e4030f37d$lut for cells of type $lut.
|
|
Using template $paramod$b68f9800cc1bf69afcfbc0567a25e43ebb01456c$lut for cells of type $lut.
|
|
Using template $paramod$9f6bc32305fc769fa11e4327bee073e3fbe84018$lut for cells of type $lut.
|
|
Using template $paramod$ea79e410ad0f4fc3326666c891e1f3992816d636$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000010\LUT=4'0100 for cells of type $lut.
|
|
Using template $paramod$7a26b1a42866ca141f2138f2c87c68aeefbb32e9$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000011\LUT=8'10110000 for cells of type $lut.
|
|
Using template $paramod$a3b5687477cd24c8d4532b6a973630c867769d26$lut for cells of type $lut.
|
|
Using template $paramod$6be53ab59e0a69757fc32adb071ddcb64e8c87b6$lut for cells of type $lut.
|
|
Using template $paramod$lut\WIDTH=32'00000000000000000000000000000001\LUT=2'01 for cells of type $lut.
|
|
No more expansions possible.
|
|
<suppressed ~1197 debug messages>
|
|
|
|
4.48. Executing OPT_LUT_INS pass (discard unused LUT inputs).
|
|
Optimizing LUTs in $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
Optimizing lut $abc$34943$lut$aiger34942$9319.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9319.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut4 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9319.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut5 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9319.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut6 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9319.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut7 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9380.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9380.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut4 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9380.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut5 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9380.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut6 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9380.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut7 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9683.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9683.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut4 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9683.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut5 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9683.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut6 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9683.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut7 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9913.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9913.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9913.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut3 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9913.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut5 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9913.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut6 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9913.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut7 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9883.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9883.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut3 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9858.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9858.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9844.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10358.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10358.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut3 (4 -> 3)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10319.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9595.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9580.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9580.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9580.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut3 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9580.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut5 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9580.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut6 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9580.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut7 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9585.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9585.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut3 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10256.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10256.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut3 (4 -> 3)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10214.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10214.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut3 (4 -> 3)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10124.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10124.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut3 (4 -> 3)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10073.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut2 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10073.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut3 (4 -> 3)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10264.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9999.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10306.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger$o9085.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 3)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10124.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10059.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10374.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9913.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $auto$abc_ops_reintegrate.cc:611:reintegrate$34969.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10192.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10009.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 3)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10319.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10366.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9918.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10256.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10124.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10256.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10358.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10101.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9930.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10204.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10214.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9943.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10222.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9950.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10073.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10246.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10343.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10144.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10132.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9973.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10276.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10214.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10327.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10089.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10319.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10156.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9992.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9683.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9683.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9669.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9658.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9651.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9641.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9637.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9595.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9616.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9599.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9595.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9580.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9585.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9463.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9438.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9433.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9423.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9419.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9380.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9380.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9366.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9355.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9348.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9338.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9334.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9319.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9319.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 1)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9305.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9294.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9287.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$10073.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9277.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9273.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9883.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9858.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9848.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9844.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut0 (4 -> 0)
|
|
Optimizing lut $abc$34943$lut$aiger34942$9844.genblk1.genblk1.genblk1.genblk1.genblk1.genblk1.lut1 (4 -> 0)
|
|
Removed 0 unused cells and 950 unused wires.
|
|
|
|
4.49. Executing AUTONAME pass.
|
|
Renamed 7430 objects in module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
<suppressed ~7430 debug messages>
|
|
|
|
4.50. Executing HIERARCHY pass (managing design hierarchy).
|
|
Attribute `top' found on module `$paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000'. Setting top module to $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000.
|
|
|
|
4.50.1. Analyzing design hierarchy..
|
|
Top module: $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000
|
|
|
|
4.50.2. Analyzing design hierarchy..
|
|
Top module: $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000
|
|
Removed 0 unused modules.
|
|
|
|
4.51. Printing statistics.
|
|
|
|
=== $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000 ===
|
|
|
|
+----------Local Count, excluding submodules.
|
|
|
|
|
2128 wires
|
|
18321 wire bits
|
|
2128 public wires
|
|
18321 public wire bits
|
|
18 ports
|
|
1522 port bits
|
|
72 cells
|
|
8 $scopeinfo
|
|
64 MULT18X18D
|
|
5952 submodules
|
|
816 CCU2C
|
|
26 L6MUX21
|
|
529 LUT4
|
|
93 PFUMX
|
|
4488 TRELLIS_FF
|
|
|
|
=== design hierarchy ===
|
|
|
|
+----------Count including submodules.
|
|
|
|
|
72 $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000
|
|
|
|
+----------Count including submodules.
|
|
|
|
|
2128 wires
|
|
18321 wire bits
|
|
2128 public wires
|
|
18321 public wire bits
|
|
18 ports
|
|
1522 port bits
|
|
- memories
|
|
- memory bits
|
|
- processes
|
|
72 cells
|
|
8 $scopeinfo
|
|
64 MULT18X18D
|
|
5952 submodules
|
|
816 CCU2C
|
|
26 L6MUX21
|
|
529 LUT4
|
|
93 PFUMX
|
|
4488 TRELLIS_FF
|
|
|
|
4.52. Executing CHECK pass (checking for obvious problems).
|
|
Checking module $paramod\neural_processor_array\N_PROCESSORS=s32'00000000000000000000000000001000...
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Found and reported 0 problems.
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|
|
|
4.53. Executing JSON backend.
|
|
|
|
Warnings: 36 unique messages, 40 total
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|
End of script. Logfile hash: 2df6cd40ea, time: 1.44s, user: 1.25s, system: 0.04s, MEM: 133.75 MB peak
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|
Yosys 0.68+post (git sha1 c12172fbae8af5e20f6fb52e3d4e92d56ed587b6, Release, AppleClang clang++ 21.0.0.21000101)
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|
Time spent: 16% 1x abc9_exe (0 sec), 13% 24x opt_clean (0 sec), ...
|