Related Issues (20)
- H100 Max Autotune Compilation Significantly Slower than A100
- torch.compile + constructing an nn.Parameter + mutating it can give wrong results HOT 1
- torch.compile errors on torch.autograd.backward HOT 1
- Need a C++ way to convert PyTorch model to TorchScript model
- `OpInfo.supported_dtypes` could return `None`
- RuntimeError: Exporting the operator fft_rfftn to ONNX opset version 11 is not supported. HOT 1
- Lower contribution barriers on c++/cuda PRs HOT 15
- Tensorboard add_custom_scalar does not work
- Help me!!!Thanks you very much!!!About "THCBlas.cu:334" HOT 1
- libtorch_cuda.so: undefined reference to `[email protected] HOT 4
- Semi-Structured Sparsity unsupported for Windows HOT 2
- Symbolic shapes unable to reason: Ne(Mod(u0*u2 + u1*u2, u0 + u1), 0) HOT 2
- Illegal instruction (core dumped): PyTorch 2.3.0+rocm6.0 HOT 2
- Dynamo doesn't log backward graphs in compilation metrics HOT 3
- get_instructions_bytes appears to be causing increased compile time
- Investigate 'NoneType' object has no attribute 'mutable_local' when nn module inlining enabled.
- _VariableFunctions.pyi expands to invalid utf-8 encoding. HOT 1
- Happier cowpath for torch.tensor_split on Tensor split sizes HOT 3
- `_allow_non_fake_inputs` parameter of `make_fx` has no effect HOT 1
- DISABLED test_binary_op_list_slow_path__foreach_div_cuda_bool (__main__.TestForeachCUDA) HOT 1
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