Comments (1)
Fixed in #103.
from pytorch.
Related Issues (20)
- [C10D] Standardize torch distributed launcher interface
- [Profiler] NCCL collectives text garbled and times reported in ns HOT 3
- Equality between SymBool is extremely busted HOT 2
- torch.compile-ing triton kernels with inputs created under inference mode leads to error
- DISABLED test_binary_op_float_inf_nan__foreach_add_cuda_float16 (__main__.TestForeachCUDA) HOT 1
- DISABLED test_custom_function_setup_context_simple (__main__.TestAutogradWithCompiledAutograd) HOT 5
- ZeroRedundancyOptimizer + AdamW Fused can't load state_dict back HOT 2
- Use online softmax for just softmax by itself
- DISABLED test_torchvision_models_efficientnet_v2_m (__main__.TestVisionTracing) HOT 1
- DISABLED test_dep_nograd (__main__.TestAutogradWithCompiledAutograd) HOT 5
- [Affine grid][channels_last_3d] view size is not compatible with input tensor's size and stride HOT 1
- Kernel crashes with wrongly specified SparseTensor `.to_dense()` call HOT 4
- dynamo_export: Unsupported FX nodes: aten.diagonal_copy.default HOT 4
- DISABLED test_dependent_backward (__main__.TestAutogradWithCompiledAutograd) HOT 3
- Support `dynamic=True` in torch._dynamo.explain HOT 1
- DISABLED test_detach (__main__.TestAutogradWithCompiledAutograd) HOT 7
- DISABLED test_aot_export_module_joint (__main__.TestAOTExport) HOT 6
- numel() works differently for torch.Tensor and torch.Size inputs, not documented HOT 1
- Segmentation fault and Aborted in `torch.sparse_coo_tensor`. HOT 1
- torch.compile : RuntimeError: "foreach_tensor_copy" not implemented for 'Int' HOT 2
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