Comments (4)
Could you try the latest PyTorch nightly and let us know if the error goes away? The above code no longer exists in trunk (we refactored it away to fix some problems).
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Thank you for replying. Does the latest PyTorch nightly is the same as PyTorch 2.0?
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Hi @zou3519 , I have tried PyTorch 1.13.1, it's still the same error.
RuntimeError: data.find(layerId) == data.end() INTERNAL ASSERT FAILED at "../aten/src/ATen/functorch/DynamicLayer.cpp":256, please report a bug to PyTorch.
I can't using PyTorch nightly cause I'm using the library Theseus, which is also from Facebook, which is only support PyTorch 1.13.1, not support PyTorch nightly now. And the bug detail is follows.
Any advices is welcome. Thank you so much.
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Sorry for the delayed reply, I took a long vacation. Is this still a problem? If so, do you have a script that reproduces the problem?
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Related Issues (20)
- Add pytorch 1.13.1 compatibility HOT 3
- Unit Test Error When Testing vmap With Missing Module "autograd_function_db" HOT 7
- Will pmap be supported in functorh? HOT 2
- How to get only the last few layers' gradident? HOT 2
- [Question] Packaging policy for `functorch` and `torch.func` HOT 5
- RuntimeError: Batching rule not implemented for aten::is_same_size. We could not generate a fallback.
- Vmap and backward hook problem HOT 1
- item() support for vmap HOT 2
- Performance drop because of not yet implemented batching rule for bincount
- Use functional models inside usual nn.Module HOT 1
- Error about using a grad transform with in-place operation is inconsistent with and without DDP HOT 1
- How to get the jacobian matrix in GCNs?
- Per-sample-gradient: Get gradient 0 when using grad(params_tograd, params) with respect to part of model's parameters HOT 1
- Can I call torch.utils.data.WeightedRandomSampler inside vmap? HOT 1
- vmap fails if your model includes full_backward_hook in pytorch2.0 HOT 1
- wrapper->level().value() <= current_level INTERNAL ASSERT FAILED at "../aten/src/ATen/functorch/ADInterpreters.cpp":39 HOT 1
- Swapping 2 columns in a 2d tensor
- vmap does not support Tensor.clone()
- Small difference between functorch grads and torch.autograd.grad
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