pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- `torch.flip`, `torch.roll`, `torch.tile` has arguments `dims=` for both dim/multidim while other functions have argument `dim=` for the same usage
- `(svd|pca)_lowrank`: backward is unstable when for a matrix `A`, the parameter `q` is set to a value `q > rank(A)`.
- Incorrect error for integer `out=` dtypes when a float is expected.
- CPU only mode with cudatoolkit 11.3
- Torch Profiler does not count FLOPs for backward pass
- JIT: Support for `torch.autograd.functional.jacobian` in TorchScript
- Dropout2d doesn't drop channels for (C, H, W)
- RuntimeError: t == DeviceType::CUDAINTERNAL ASSERT FAILED when trying to calculate gradients
- I want to know how to read the LMDB file once when using DDP
- c2r fft input generation
- Docs
- Python not yet supported