pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- IValue(c10::List<IValue>) constructor is confusing and undocumented
- FX graph mode quant: backendconfig configuration missing for torch.nn.GRU
- Cannot add target-level dependencies to non-existent target "gloo_cuda".
- Importing numpy makes Tensor min max crash
- Public API definition is not compatible with `torch.testing`
- quantization observers: can we relax the default epsilon value?
- torch.utils.tensorboard import fails if a new protobuf > 3.20 is installed (bug in tensorboard/tensorflow but better guard against it)
- quantization qconfig: can we set per-channel quant as default for qnnpack?
- [Distributed] `Invalid scalar type` when `dist.scatter()` boolean tensor
- Is it possible to add a parameter in torch.onnx.export to skip the prim::PythonOp subgraph process when exporting the autograd function?
- Docs
- Python not yet supported