pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- [docs] use `versionadded`, `versionchanged` and `deprecated` directive
- [Feature Request] Support tensor creation from objects that implement the __array__ interface
- [TorchScript Usability] tensor printout format differs from eager mode
- Launching two processes causes hanging
- CUDA error when using `binary_cross_entropy_with_logits`
- Native code assert or hang on process exit with a torch.jit.script model on multi-GPU
- arm64-v8a not compiling due to libpytorch_jni.so
- [pipeline] gpu util + peak mem reporting to tune partitions and chunks
- Dispatch-less structured wrapper / composite / alias kernels
- NCCL_BLOCKING_WAIT=1 makes training extremely slow (but if not set then OOM on one device will hang training)
- Docs
- Python not yet supported