pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- `with torch.backends.cudnn.flags(deterministic=True)` doesn't give an exception for ctc_loss backward on CUDA
- Softmax, LogSoftmax are over parameterized
- Split up and reorganize RPC tests
- torch.angle differs from np.angle for -0.
- .lldbinit for lldb debuger
- Permutation of Sparse Tensor
- pytorch-android-lite use its own libfbjni.so, which is not compatible with any other version at all..
- Floating point exception in _conv_depthwise2d
- TRACK: integral + floating inputs to an op with floating requiring grad result in INTERNAL_ASSERT
- Request for adding the possibility for training on sparse tensors
- Docs
- Python not yet supported