refactorone
Validate Operations / validate-operations (push) Has been cancelled

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NiccoloN
2026-05-20 19:06:41 +02:00
parent f56c4159b5
commit a50e77ff38
50 changed files with 3420 additions and 1187 deletions
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@@ -145,6 +145,46 @@ validate.py \
--crossbar-size 2048 --crossbar-count 256 --core-count 1000
```
Each validation run writes debugging artifacts into the benchmark's workspace
directory (for example `validation/operations/gemm/small/`):
- `inputs/` — generated input CSVs used for the run.
- `outputs/` — reference outputs dumped by the native ONNX runner.
- `raptor/` — compiler artifacts:
`*.onnx.mlir`, `dialects/spatial0.mlir`, `dialects/spatial1_dcp_merged.mlir`,
`dialects/pim0.mlir`, `dialects/pim1_buff.mlir`, `dialects/pim2_coalesced.mlir`,
`dialects/pim3_folded.mlir`, `dialects/pim4_materialized.mlir`,
`pim/config.json`, `pim/core_*.pim`, `pim/memory.bin`, and reports under
`raptor/reports/` such as `dcp_merge_report.txt`,
`memory_report.txt`, and `static_memory_coalescing_report.txt`.
- `runner/` — generated reference runner source, build tree, and shared library.
- `simulation/out.bin` — raw simulator output dump used for output comparison.
That means you usually do not need to rerun standalone `--EmitSpatial` or
`--EmitPim` commands while debugging validation failures: the per-pass dialect
dumps are already available under `raptor/dialects/`.
The validator does not currently expose a simulator tracing flag, but once a
validation has produced `raptor/pim/` you can rerun the simulator manually with
tracing enabled:
```bash
cd backend-simulators/pim/pim-simulator
cargo run --no-default-features --features tracing --release \
--package pim-simulator --bin pim-simulator -- \
-f /path/to/workspace/raptor/pim \
-o /path/to/workspace/simulation/out.bin \
-d <addr0>,<size0>,<addr1>,<size1>,...
```
With `--features tracing`, the simulator writes per-core traces as
`simulation/TraceCore0`, `simulation/TraceCore1`, ... next to `simulation/out.bin`.
The validator normally computes the `-d` dump ranges from `raptor/pim/config.json`
and the model output shapes. If you need a clean slate before rerunning, use:
```bash
validate.py --clean
```
Available networks under `validation/networks/`: `vgg16`, `yolo11n`.
Available operations under `validation/operations/`: `add`, `conv`, `div`,
`gather`, `gemm`, `gemv`, `mul`, `pool`, `reduce_mean`, `relu`, `resize`,