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## Summary - add a CuBLASReductionOption enum so the CUDA context can track reduced-precision and split-K options - extend the Python bindings, backend helpers, and docs to accept an optional allow_splitk argument for fp16/bf16 matmul controls - update cuBLAS/cuBLASLt call sites plus dynamo guards and tests to respect the new combinations ## Testing - python test/test_cuda.py TestCuda.test_cublas_allow_fp16_reduced_precision_reduction_get_set -v *(fails: ModuleNotFoundError: No module named 'psutil')* ------ https://chatgpt.com/codex/tasks/task_e_68e404623178832f8a3e1d34e1e175da Pull Request resolved: https://github.com/pytorch/pytorch/pull/164766 Approved by: https://github.com/malfet, https://github.com/albanD |
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| .. | ||
| _coreml | ||
| _nnapi | ||
| cpu | ||
| cuda | ||
| cudnn | ||
| cusparselt | ||
| kleidiai | ||
| mha | ||
| miopen | ||
| mkl | ||
| mkldnn | ||
| mps | ||
| nnpack | ||
| openmp | ||
| opt_einsum | ||
| quantized | ||
| xeon | ||
| xnnpack | ||
| __init__.py | ||