Comments (3)
Will do!
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cc @jansel
from pytorch.
Given that triton-lang/triton#2813 is fixed, I think it is fine to add other=...
to inductor's generated code and remove that old workaround.
@alexbaden want to submit a PR to add that?
from pytorch.
Related Issues (20)
- [ONNX] view(dtype=dtype) is not supported by both onnx.export and onnx.dynamo_export
- [compiled autograd][cudagraphs] accessing TLS cudagraph manager results in corrupted memory
- [FSDP] show better warning msg when wrapping nn.ModuleList or nn.ModuleDict HOT 1
- [compiled autograd][aot autograd] accumulate grad (on param with non empty grad) mutates inputs and prevents cudagraph HOT 2
- Linker Errors on ARM System While Building PyTorch from Source with clang on Main Branch HOT 8
- [async H2D] memory ordering issue for async H2D with pin memory on CUDA device HOT 3
- `dsplit()` with `indices_or_sections=` doesn't work while `dsplit()` without `indices_or_sections=` works
- [DSD] keep 'initial_lr' in `torch.distributed.checkpoint.state_dict.set_optimizer_state_dict`
- `tensor_split()` with `indices_or_sections=` doesn't work while `tensor_split()` without `indices_or_sections=` works
- [DSD] keep 'exp_avg' as DTensor after `torch.distributed.checkpoint.state_dict.set_optimizer_state_dict`
- Add integrity check in torch.save HOT 1
- DISABLED test_memory_snapshot (__main__.TestCudaMallocAsync) HOT 1
- DISABLED test_memory_format_type_cuda (__main__.TestTorchDeviceTypeCUDA) HOT 1
- Segmentation fault (core dumped) when using pytorch Conv layers HOT 3
- Implicit data type promotion in torch.cat is undocumented
- ONNX Exporter Fails with Handling Complex Tensors
- Performance Degradation in F.linear with Batch Size > 1 in Multi-Head Attention
- TypeError: slice indices must be integers or None or have an __index__ method
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