pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- Indexing a tensor with a NumPy array sometimes works and sometimes doesn't
- Multi-processing leaking file descriptors
- TestCppExtensionJit's test_crash_handler fails for force_on_cpu job on GHA
- Setting a random seed or passing a generator to Modules for deterministic sampling.
- Parametrization cannot be parametrized
- error: ‘_mm512_set_epi8’ was not declared in this scope when build from source on AMD 3600 CPU
- Unification of model initialization methods / naming across domain libraries + support of skip_init
- torch.linalg.cholesky does not raise a RuntimeError when the matrix is not symmetric
- [pytorch v1.9.0] for torch sync.pipeline in a single GPU, passing tensor layer by layer is better or using the skip-connection API is better?
- How to reference a tensor variable from a superclass of `torch.Tensor`?
- Docs
- Python not yet supported