pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- unsqueeze has 'out=' option documented but not implemented(?)
- android run build_pytorch_android.sh error
- [doc] Tensor.mean: dtype kwarg is not documented
- [build] gcc 7.4 needs CMAKE_CXX_FLAGS="-std=gnu++11"
- [FR] general nll_loss and cross_entropy along arbitrary dimension
- Tensor.nbytes() returns itemsize * numel for sparse tensors
- torch native functions cannot be used with inspect.signature
- Slow (20-50x) RNN tutorial/example when torch is installed using pip comp. to conda installation
- CPU and CUDA error messages are divergent in type promotion
- Reliable way to identify RuntimeErrors (CUDA)
- Docs
- Python not yet supported