pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- [search] duplicated entries in results
- `torch.cuda.device` should look like it is inherited from `torch.device`
- result_type doesn't take dtypes and doesn't match numpy
- torch.tensor(x) fails inconsistently, assumes 0 index exists in 'Series'
- Unable to compile CUDAExtension with Pytorch 1.5 or above
- RandomSampler is very slow with huge dataset
- RFC: Private CUDA memory pools
- Complex->Real cast is a warning, calling `real` or `imag` on non-complex tensors is an Error.
- Initialize NCCL backend with MPI
- [numpy] torch.ceil and torch.floor don't support integer inputs while Numpy does
- Docs
- Python not yet supported