micheleandClaude Sonnet 5
a918c3f1e9
Two related Phase 5 additions, both threaded the same way (a new runtime field defaulting to the pre-existing behavior, settable per-layer via the descriptor table or per-run via SET_BASE): Configurable activation functions: - neuron_parallel.v gains a 2-bit `activation` port (ACT_NONE = linear + two-sided INT8 saturate, ACT_RELU = the original hardwired behavior, kept as the default so every pre-existing caller/testbench is unaffected), threaded through neuron_memory.v. - spi_engine.v: SET_BASE sel=6 (single-layer path); the descriptor table gains a 7th byte (multi-layer path). - Verified in neuron_parallel_tb.v (negative pass-through + negative saturation to -128) and end-to-end in spi_neuron_top_runnetwork_tb.v (a real negative accumulator that ACT_RELU would clamp to 0 comes through unclamped under ACT_NONE, over real SPI/RAM). Runtime network width (one bitstream, any topology up to its build-time max, entirely host-configured over SPI): - neuron_parallel.v gains n_inputs_real, bounding its MAC group loop (n_inputs_real/PARALLEL groups instead of the fixed build-time count). neuron_memory.v gains n_inputs_real/n_neurons_real, bounding its X/W RAM-read loop and its neuron loop. All default to the build-time max, so unconnected callers are unaffected. n_inputs_real must stay a multiple of PARALLEL (same constraint N_INPUTS itself is held to at elaboration time, now the caller's runtime responsibility). - spi_engine.v: SET_BASE sel=7/8 (single-layer path); the descriptor table grows to 11 bytes/layer (+n_inputs_real +n_neurons_real, multi-layer path) -- layer_sequencer.v also now copies only n_neurons_real bytes into the ping-pong buffer, not the full build width. - This is real early termination, not bookkeeping: no RAM zero-padding needed for the unused tail, and it measurably completes faster. neuron_parallel_tb.v TEST 7: 3 cycles vs 6 for a reduced-vs-full run, with garbage loaded into the skipped lanes to prove they're never read. neuron_memory_tb.v TEST 5: through the real PSRAM stack, 209 cycles vs 788. layer_sequencer_tb.v proves a reduced n_neurons_real shortens the ping-pong copy-out itself (bytes beyond the real count stay untouched, not just differing). docs/FPGA-NeuralNetwork-Engine.md: §8.1 opcode/SET_BASE table, new "Runtime network width" subsection, Phase 5 checklist, Current Status table, and the "Core architectural principle" statement updated to reflect that topology (not just trained parameters) is now host-configured at runtime up to a build-time ceiling. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01WQV3vS9TXaGDJ5cRfnfidt