hardware/v1/ was created (dc0b331) as a frozen snapshot of the V1
project that then lived at the repo root (rtl/, sim/, synth/, tools/,
docs/). Root received zero further commits to those files after the
freeze -- confirmed byte-identical to the hardware/v1/ copy for every
file removed here. Root was the "before", hardware/v1/ is the
curated, canonical "after".
Removed (all verified exact-hash duplicates of hardware/v1/ content):
- rtl/ (20 files, 100% covered by hardware/v1/rtl/)
- tools/{netasm,pinout,run_regression.py,flash_catalog,validation,
fpga_benchmark.py} (19 files, 100% covered by hardware/v1/tools/;
tools/neural_sim/ kept -- unique, post-freeze, no counterpart)
- sim/*.v (47 testbenches, 100% covered by hardware/v1/sim/; the
~38 remaining sim/ entries are compiled binaries and .vcd
waveform dumps, left as a separate cleanup decision)
- synth/ecp5/{p2,p4,p8,post_fix_verify} (25 files, exact duplicates
of hardware/v1/synthesis/; the other ~84 synth/ecp5/* experiment
build directories are historical artifacts never carried into the
freeze, left as a separate decision)
- WORKLOG.md (duplicate of hardware/v1/docs/WORKLOG.md)
- docs/{FPGA-Neural-Datapatch-Benchmark,FPGA-Neural-Hardware-Design,
FPGA-NeuralNetwork-Engine}.md, docs/validation/*.md (18 files),
docs/FPGA-Neural-Datasheet-{EN,IT}.pdf -- all exact duplicates of
hardware/v1/docs/ content
- hardware/v1/docs/DatasheetLatex/ (24 files) -- exact duplicate of
hardware/v2/docs/datasheet/files/docs/datasheet/en/ (discovered
during this audit; not the same DatasheetLatex already removed
from hardware/v2/docs/ in an earlier commit)
Moved (genuine, unique, post-freeze V2 content -- not duplicated
anywhere, just living in the wrong/legacy root docs/ location):
- docs/architecture/*.md -> hardware/v2/docs/architecture/
- docs/pinouts.md, docs/FPGA_NEURAL_V2_DATASHEET.md,
docs/FPGA_NEURAL_V2_SCHEMATIC.md,
docs/FPGA-Neural-V2-Datasheet-EN.pdf -> hardware/v2/docs/
Left untouched (separate decisions, not part of this cleanup):
- docs/FPGA-Neural-Flash-Subsystem-Verification.md, docs/
v2-description.md -- orphaned root-only content, no duplicate
found anywhere, but also not part of the reviewed plan
- synth/ecp5/* experiment dirs and sim/*_sim + sim/*.vcd build
artifacts -- not literal duplicates, flagged as candidates for a
future, separate cleanup pass
Verified no functional breakage: grepped all remaining scripts/docs
for references to every removed path -- only prose/comment mentions
found, no executable imports or build-script paths broken.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013xXuuRUWZScuo1DeYJxs3v
Adds tools/neural_sim/, a NumPy-based reference implementation of the
FPGA-Neural V2 numeric model (INT8 in/weight, 32-bit wraparound
accumulation, ReLU+saturate out), derived directly from
hardware/v2/rtl/neural_processor.v (not assumed) and reusing
tools/validation/mac_oracle.py's own pre-existing, hand-verified
two's-complement primitives rather than duplicating them.
Provides: neuron/layer/network models, a logical memory model of the
real V2 SDRAM map (weights/activations/results), deterministic
test-vector generators (simple/signed/extremes/zero/random/D-Stress
256x128) with JSON golden-vector export, an FPGA-vs-Python bit-exact
comparison utility, four example networks, a CLI
(`python -m tools.neural_sim ...`), and a 96-test pytest suite (all
passing) covering signed-arithmetic edge cases (including a direct
32-bit wraparound proof), scalar-vs-vectorized neuron cross-checks,
layer/memory/vector/comparison tests.
This is a golden functional reference (bit-exact numeric result),
explicitly NOT a cycle-accurate FPGA simulator -- see
tools/neural_sim/README.md for the full scope statement.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013xXuuRUWZScuo1DeYJxs3v
Fixes all 7 bugs found in the FPGA-Neural re-certification campaign
(docs/validation/bugs.md, CERTIFICATION.md), per campaign policy that
fixes land as a commit separate from the analysis work (commits
313a199..77e74db):
- BUG-005 (CRITICAL): layer_sequencer.v -- RUN_NETWORK(num_layers=0)
ran through 256 fabricated layers reading arbitrary PSRAM data as
descriptors. Now an immediate no-op.
- BUG-007 (CRITICAL): spi_engine.v -- SET_NET_TYPE received mid-run
remapped the arbiter mux and hung the in-progress engine. Now
rejected while graph_busy/seq_busy, verified not to partially apply.
- BUG-002 (MEDIA): neuron_parallel.v -- N_INPUTS=0 bypassed the
elaboration-time guard, leaving x_bus/w_bus undriven. Guard extended
to reject N_INPUTS==0.
- BUG-003 (MEDIA): neuron_parallel.v -- n_inputs_real=0 at runtime had
inconsistent behavior across repeated runs. Now an explicit early-out
via the existing "finishing" completion path.
- BUG-004 (BASSA): neuron_memory.v -- n_neurons_real=0 silently ignored
the limit. Fixed at all three entry points into the vulnerable
termination checks (STATE_READ_X, STATE_READ_W, and the X->W
dispatch).
- BUG-006 (BASSA): graph_engine.v -- num_neurons_graph=0 relied on an
incidental guard rather than a real one. Now an explicit no-op.
- BUG-001 (INFO): removed sim/top.v, confirmed dead code from the
pre-INT8 Q8.8 era.
Every bug-reproduction testbench is rewritten from observe-only to
hard-assert the fixed behavior (sim/*_bug00[2-7]*_tb.v), verified
individually and via a full regression (44 testbenches, 43 PASS, 0
FAIL/ERROR, 1 benchmark by design). Re-verified on the real toolchain
(Yosys synth_ecp5 + nextpnr-ecp5): 0 constraint errors, Fmax 68.65 MHz
(was 67.91 MHz, within known placement noise), critical path
structurally unchanged (neuron_parallel/mac8 accumulator carry chain).
Updates docs/validation/bugs.md and CERTIFICATION.md to reflect the
resolved state, and docs/FPGA-NeuralNetwork-Engine.md + the LaTeX
datasheet (IT/EN) with inline notes on each fixed edge case, closing
the datasheet/RTL gap flagged in C.13 of the original certification.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013xXuuRUWZScuo1DeYJxs3v
Layer chain / ping-pong / busy-done certified via the existing
pre-session test, which already verifies the actual ping-pong buffer
address used (not just the value) and correct busy/done timing.
New finding, BUG-005 (CRITICAL): run_num_layers=0 has no guard at
compile time or runtime, and unlike BUG-002's 1-bit group_index (which
can never represent the wraparound value), layer_idx here is a full
8-bit register that naturally reaches it. Confirmed empirically with a
minimal neuron_memory stub: RUN_NETWORK(0) runs through all 256
possible layer indices (21761 cycles), reading arbitrary PSRAM bytes
far past the real descriptor table as if they were valid layer
descriptors, running real neuron_memory passes on them, and writing
results to ping-pong buffer addresses derived from that arbitrary
data. More severe than BUG-002/003/004: reachable via a single
documented SPI opcode (RUN_NETWORK), real PSRAM corruption risk rather
than just a hang or wrong result. Root cause fully isolated, not just
the symptom.
Full regression: 40/40 real tests pass, 1 new observational test
(no pass/fail by design) deterministically reproduces BUG-005.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013xXuuRUWZScuo1DeYJxs3v
mac_unit.v: exhaustive unit test (all 65536 (x,w) combinations at
DATA_WIDTH=8, plus 486 boundary acc_in vectors) against an independent
Python oracle (tools/validation/mac_oracle.py). 66022/66022 match, 0
reserves.
mac8.v: first-ever dedicated unit test (previously only indirect
coverage at whatever single PARALLEL neuron_parallel_tb.v happens to
use). Verified at PARALLEL=2/8/32 with structural adversarial vectors
(catches swapped/duplicated tree wiring), 300 random INT8 pairs per
PARALLEL with realistic accumulating acc_in, and worst-case magnitude
adversarial vectors. 939/939 match.
Confirms BUG-002 (N_INPUTS=0 bypasses the N_INPUTS%PARALLEL elaboration
guard) is real, on both simulation and real Yosys synthesis -- root
cause: [DATA_WIDTH*N_INPUTS-1:0] becomes [-1:0] for N_INPUTS=0, which
both tools treat as a genuine 2-bit undriven vector rather than
collapsing to zero width. Includes a documented self-correction: the
first verification attempt produced a false "hang" using an invalid
one-shot late check of a single-cycle done pulse -- caught by
reproducing the same false result on a known-good sanity config before
trusting it.
Full regression re-run clean after adding 3 new testbenches: 36/36 real
tests pass.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013xXuuRUWZScuo1DeYJxs3v
Builds tools/run_regression.py (no reproducible regression script existed
before -- every prior "N testbenches, all pass" claim was assembled by
hand). Resolves each testbench's dependencies by static analysis of
instantiation sites, not from memory, then compiles+runs everything fresh.
Independently re-verifies the 33-testbench regression clean (0 real
failures) after fixing two false negatives in the harness itself (two
tests are deliberate compile-time-failure negative tests, one file is a
benchmark with no pass/fail verdict by design -- confirmed by reading
each file's own header, not assumed).
Findings recorded in docs/validation/: sim/top.v is dead code (references
a removed FRAC_BITS parameter from the pre-INT8 Q8.8 era); mac_unit.v/
mac8.v have no dedicated unit testbench, only indirect coverage; the
N_INPUTS%PARALLEL elaboration guard does not mathematically cover
N_INPUTS=0 (open finding, not yet confirmed reachable -- BUG-002).
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013xXuuRUWZScuo1DeYJxs3v
The flash subsystem's SCLK previously reused the boot config-SPI's CCLK
pad via the ECP5 USRMCLK primitive to save one pin. This made the
"exclusive flash bus" claim misleading (SCLK still depended on the
config engine's own pad electrically) and carried an unresolved
verification gap (USRMCLKTS pad-enable timing never checked against
the primary Lattice sysCONFIG Usage Guide).
flash_sclk is now a genuine 4th ordinary GPIO pin (E3, bank 7), added
purely additively to the real .lpf (git diff: one new line, no existing
ball moved). The flash bus is now 4 fully independent wires
(sclk/mosi/miso/cs_n), zero pins shared with any ECP5 config primitive
-- confirmed by the full-system synthesis reporting USRMCLK 0/1 (0%)
utilisation.
All 33 project testbenches re-run clean after the port rename (no
functional change, only sclk_sim -> sclk). Full-system real synthesis
re-verified: 0 constraint errors, Fmax 67.91MHz (up slightly from
66.68MHz, same critical path, not a regression).
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013xXuuRUWZScuo1DeYJxs3v
Adds FPGA-exclusive access to the onboard W25Q128JV SPI NOR flash for
weights/bias/network persistence, layered as spi_flash_master (raw SPI,
USRMCLK-driven) -> flash_copy_engine (flash<->PSRAM streaming, erase-
before-write, Page Program loop) -> flash_slot_manager (16-slot catalog
with CRC32), exposed via 8 new SPI opcodes (0x40-0x47). Fixes two
pre-existing bugs found during bring-up: a psram_controller.v request
lost during power-up, and a one-cycle-pulse race in the PSRAM arbiter
request handshake. Full simulation + real Yosys/nextpnr-ecp5 synthesis
verification (0 errors, Fmax 66.68MHz) in WORKLOG.md and
docs/FPGA-Neural-Flash-Subsystem-Verification.md.
Also updates docs/pinout to reflect the 56-signal real .lpf (3 new
flash pins) and documents the WRITE_RAM/READ_RAM host backpressure
risk found while testing this subsystem.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013xXuuRUWZScuo1DeYJxs3v
PSRAM page-mode read burst support in psram_controller.v: enables the
ISSI IS66WVE4M16EBLL-70BLI's page mode via its configuration-register
software-access sequence at boot (disabled by default on the real
chip), then keeps CE#/OE# asserted after a read so a same-page
continuation only pays tAPA (20ns) instead of a full tAA (70ns)
random access, with automatic tCEM-safe session closing. Only a WRITE
closes the page -- byte-enable changes do not, since
int8_memory_access.v alternates them on nearly every access and an
early implementation attempt that treated them as a close condition
measured a real regression (53.25->61.25 cycles/edge) before being
corrected (53.25->37.53 cycles/edge, +42% gather bandwidth).
sim/psram_model.v gained independent tAPA/tAA and tCEM enforcement
(with a real Verilog same-timestep event-ordering race found and
fixed via a #0 sync) so the regression proves real timing compliance,
not just data correctness. New sim/psram_page_mode_tb.v; full 26-file
regression suite re-run clean. Real nextpnr-ecp5 Fmax re-measured on
the full spi_neuron_top system: 75.73MHz (P2, up from 55.59MHz) and
65.13MHz (P8) -- still under the 80MHz target but not regressed, with
the critical path confirmed (not assumed) to remain entirely inside
neuron_parallel's accumulate chain, never psram_controller.
Also includes this session's other already-validated work: the graph
engine (Type #2 sparse-graph network: act_buffer, graph_engine,
netasm host assembler), real CABGA381 pinout (.lpf, place&route
verified) and physical IRQ_N/DATA_READY_N pins, and Phase 7 timing
closure logs -- all previously uncommitted, documented in WORKLOG.md.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LH3jPeJ3eFMfF2v8SQhpkk
tools/fpga_benchmark.py: parametric Yosys + nextpnr-ecp5 benchmark
harness for the LFE5U-45F-8BG381 (speed grade -8, 80 MHz target),
sweeping PARALLEL over the neuron layer and parsing Fmax/LUT4/DFF/DSP
utilization out of the nextpnr report into JSON/CSV.
synth/ecp5/p2, p4, p8: real synthesis+PnR results backing the
same-price-tier FPGA comparison (P2: 87.88 MHz PASS, P4: 75.01 MHz
FAIL, P8: 147.62 MHz PASS -- non-monotonic, dominated by placement
noise since the whole design uses <2% of the device's LUT4 fabric at
every setting, and P8 notably maps to 0 DSP blocks vs 8/16 for P2/P4).
synth/ecp5/top.v: benchmark harness top-level, reworked to generate
deterministic non-constant X/weights/bias via `keep`-attributed
generate blocks so Yosys can't constant-fold the datapath away.
Also adds .gitignore for Python's __pycache__/*.pyc.
micheleandClaude Sonnet 5