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compat: expose torch.cuda.streams for torch 2.11 MUSA - #98
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Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
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The English and Chinese READMEs have not kept up with the May-October work. This documents what merged, moves the version-gated shims into one table, and refreshes the measured numbers that had gone stale. Feature table - CUDA memory-pool APIs, `torch.cuda.streams`, CUDA-graph executable rotation, `torch.cuda._get_device_index`, `get_memory_info()`, and the FlashAttention provider shims (#61, #98, #103, #106, #108, #115) - the "What Works" table goes back to one line per feature; the paragraph-sized `log_` / `isfinite` / `out_dtype` cells move into the new section below New "torch_musa Compatibility" section - one table of every version-gated shim with the release it is installed on: the four `< 2.11.0.post2` patches (#106, #113, #124), the `< 2.13.0` `mm`/`bmm` `out_dtype=` backport (#116), the stable-ABI header backport (#86, #96), asynchronous `isfinite` (#120), and `torch.cuda.streams` (#98) New "Environment Variables" section - the graph-rotation knobs (#72), `TORCHADA_PLATFORM`, the C++ operator-override switches (#61, #128), and the two variables that were already documented Corrected and extended details - torch.compile: FX `device` builtin (#124), Dynamo's device-index helper (#108), `MUSA_VISIBLE_DEVICES` mirroring (#106) - C++ extensions: nested `<torch/cuda.h>` porting (#95), stable-ABI `STABLE_TORCH_LIBRARY_IMPL` rekeying and stream helpers (#100), torch 2.6+ `include_paths`/`library_paths` signatures (#121), stale JIT build locks (#128) - MoE tables are generated from checked-in recipes (#115) - unsupported CUDA runtime APIs as no-ops (#65) - Performance: replace the 0.1.94 / torch_musa 2.7.1 numbers with the checked-in 0.1.95 / 2.11.0.post2 entry, and stop claiming every fast path is under 200ns
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Summary
Expose the MUSA stream module through the CUDA-compatible
torch.cuda.streamspath.PyTorch 2.11 Dynamo guards access
torch.cuda.streams.Stream. torchada 0.1.78 redirects this path totorch_musa, but torch_musa 2.11 exposes the implementation attorch_musa.core.streamand does not exporttorch_musa.streams, causing compiled vLLM startup to fail with:The shim maps both the attribute and
sys.modules["torch.cuda.streams"]totorch_musa.core.stream.Validation
torch.cuda.streams is torch_musa.core.stream: PASS on MUSA 3.3.5 / torch 2.11.0.post1+musa5.2.0.