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7c7b2d89ba
Fixes #138532. This brings hipblas behavior in line with cublas behavior with respect to setting the workspace to an allocation from the caching allocator as well as the env var HIPBLAS_WORKSPACE_CONFIG. Pull Request resolved: https://github.com/pytorch/pytorch/pull/138791 Approved by: https://github.com/naromero77amd, https://github.com/eqy, https://github.com/malfet Co-authored-by: Nikita Shulga <2453524+malfet@users.noreply.github.com> |
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| .. | ||
| amp_examples.rst | ||
| autograd.rst | ||
| broadcasting.rst | ||
| cpu_threading_runtimes.svg | ||
| cpu_threading_torchscript_inference.rst | ||
| cpu_threading_torchscript_inference.svg | ||
| cuda.rst | ||
| custom_operators.rst | ||
| ddp.rst | ||
| extending.func.rst | ||
| extending.rst | ||
| faq.rst | ||
| fsdp.rst | ||
| get_start_xpu.rst | ||
| gradcheck.rst | ||
| hip.rst | ||
| large_scale_deployments.rst | ||
| modules.rst | ||
| mps.rst | ||
| multiprocessing.rst | ||
| numerical_accuracy.rst | ||
| randomness.rst | ||
| serialization.rst | ||
| windows.rst | ||
