Related Issues (20)
- Inlining nn modules and FSDP HOT 1
- [dynamo] Dynamo traces through __torch_dispatch__ on custom tensor subclasses HOT 1
- [inductor] Lowering error with torch.full
- `swap_tensors` fail when calling `nn.Module.to` on XLA `DDP` wrapped models. HOT 8
- PyTorch trunk is frequently broken HOT 10
- [aot autograd][inline inbuilt nn modules] AOT Autograd changes _version different from eager HOT 6
- torch.utils.flop_counter.FlopCounterMode doesn't work well with compiled model
- Wrong result for Inplace tensor update on transpose for some devices with torch 2.3.0 HOT 2
- Documentation for DDP-related environment variables HOT 1
- [Bug] The cuDNN version is too old! HOT 2
- Adam is storing step as cpu tensor
- nn.Transformer gives different output in torch.no_grad() context HOT 2
- Memory leak when assigning function to instance variable
- DISABLED test_attention_vs_linear (__main__.MemoryBudgetTest) HOT 1
- `torch.compile` with `reduce-overhead` and DDP causes crash in inference after training
- Why does the size of state_dict decrease a lot when I move the parameters to the CPU? What information was lost?
- Rebase your PRs: Unstable CUDA signal in CI caused by cudnn 9 update
- torch.jit.script causes Segmentation fault 139 HOT 3
- AOTAutogradCache implementation
- Cannot convert -oo to int HOT 4
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