pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- torch.nn.DataParallel causes incorrect gradients
- "To compact weights again call flatten_parameters()" is printed every step for every GPU
- [feature request] Subset of eigenvalues/eigenvectors
- Multi-gpu example freeze and is not killable
- torch.utils.tensorboard.SummaryWriter fails to flush at program exit
- Using `torch.utils.checkpoint.checkpoint_sequential` and `torch.autograd.grad` breaks when used in combination with `DistributedDataParallel`
- `suggest_memory_format` has ambiguity & cannot represent intended layout format for corner cases
- Multiplying a very large CUDA tensor with another tensor yields unexpected result
- model->to(device) costs over a millisecond when doing nothing
- CUDA: THTensor code complains about devices not matching when creating tensor from blob
- Docs
- Python not yet supported