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- Asserts for CUDA are enabled by default - Disabled for ROCm by default by setting `TORCH_DISABLE_GPU_ASSERTS` to `ON` - Can be enabled for ROCm by setting above variable to`OFF` during build or can be forcefully enabled by setting `ROCM_FORCE_ENABLE_GPU_ASSERTS:BOOL=ON` This is follow up changes as per comment in PR #81790, comment [link](https://github.com/pytorch/pytorch/pull/81790#issuecomment-1215929021) Pull Request resolved: https://github.com/pytorch/pytorch/pull/84190 Approved by: https://github.com/jeffdaily, https://github.com/malfet |
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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 | ||
| ddp.rst | ||
| extending.rst | ||
| faq.rst | ||
| gradcheck.rst | ||
| hip.rst | ||
| large_scale_deployments.rst | ||
| modules.rst | ||
| mps.rst | ||
| multiprocessing.rst | ||
| numerical_accuracy.rst | ||
| randomness.rst | ||
| serialization.rst | ||
| windows.rst | ||