Related Issues (20)
- [AOTI] Using `AOTI_TORCH_CHECK` will cause performance drop on several models compared with using `TORCH_CHECK` HOT 3
- Segmentation fault with torch.compile in torchchat HOT 2
- Fused AdamW not supported with FSDP2 HOT 6
- torch.nn.AdaptiveAvgPool2d lacks checking of input dimension
- [torch.export] RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! HOT 2
- Ansys Rocky: cuda error: an illegal memory access was encountered HOT 1
- saved_tensors_hooks auto delete custom attributes HOT 1
- Error on import PyTorch >= 2.1 on OS X 10.11 with Python 3.10 HOT 1
- Python version agnostic C++ extensions HOT 1
- Dynamo fails to export data-dependent `Tensor.tolist` HOT 5
- DISABLED test_non_commutative_scan_op (__main__.CudaReproTests) HOT 1
- TORCH_CHECK used within torch.compile does not throw legible errors HOT 4
- CUDA 12.4 CI Inductor Issues HOT 3
- PyTorch's Execution Trace Observer Producing Invalid JSON
- Inductor Channels-last slowdown HOT 1
- move label_to_label.yml to an issue?
- [RFC] Enable PyTorch XPU on Native Windows on Intel GPUs
- [dynamo, logging] Log full stack trace in graph_breaks logging artifact HOT 1
- [H100][CUDA] test_runtime_checks_fp8_abi_compatible_cuda fails with `Unsupported conversion from f8E5M2FNUZ to f16` HOT 1
- FakeTensor `forward()` on `bert` attention when using FakeTensor returns a DataDependentOutputException HOT 1
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