mirror of
https://github.com/zebrajr/pytorch.git
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a575ce0dc6
Summary: Currently we process events in the regular allocation path and we call cudaEventQuery to check on the events and this path can take some locks in libcuda driver. Its not entirely needed to do process events in the allocation path, we could move this to a background thread and keep processing events regularly and put the freed block to the free list. Differential Revision: D62396585 Pull Request resolved: https://github.com/pytorch/pytorch/pull/135524 Approved by: https://github.com/zyan0 |
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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 | ||
