Comments (1)
Very strange switching to 3.11.6 installed it with no issues
from pytorch.
Related Issues (20)
- `size()` type for `dims` argument of `tile()` works against the doc HOT 2
- [cudagraph] torch.compile(backend="cudagraphs") + StableDiffusion2.1 doesn't work HOT 8
- `torch.histogram` test cases have out-of-order sequence as bins input HOT 2
- Torch compile can't support Tensor.item HOT 3
- [torch.compile][distributed] Collective ops in FX graph should not be erased by DCE pass even its result is not used in current rank. HOT 3
- Inconsistent floating point guards with numpy scalars HOT 2
- "RuntimeError: memory format option is only supported by strided tensors " during using flash_attn
- RuntimeError: _int_mm_out_cuda not compiled for this platform. HOT 9
- For `repeat()`, `sizes` argument doesn't work while `repeats` argument works against the doc HOT 2
- torch.export.unflatten fails on sequential models HOT 2
- Error using torch.func transforms with DDP (broadcast_buffers=True) HOT 4
- [inductor][cpu]opacus_cifar10 performance regression in 2024-07-15 nightly release HOT 2
- Improve detail / Create tutorial for torch.distributions
- Cannot construct torch::nn::Module on Windows HOT 5
- [inductor][cpu]MT5ForConditionalGeneration, T5ForConditionalGeneration and T5Small performance regression in 2024-07-15 nightly release HOT 6
- Document ProcessGroupOptions
- For `expand()`, `sizes` argument doesn't work while `size` argument works against the doc HOT 2
- float8 types cannot be used under deterministic mode HOT 3
- Error when torch.compile function uses saved_tensor_hooks HOT 2
- [torch.export] Torch Export produces incorrect program when python generators are used. HOT 2
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from pytorch.