pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- What changes we need to make in metrics calculation and visualization part when we use Distributed Data Parallel for distributed training
- C++ version 1.9.0 libtorch dynamic load fails -- GCC only
- Lazy modules should accept keyword arguments to forward method
- Two-element ModuleList results in error in inference_mode when jit'ed
- USE_SYSTEM_CPUINFO: internal symbol `clog_vlog_fatal' isn't defined
- Replace native NHWC BN kernel
- Divergent code is needed to record usage streams on different TensorImpl types
- Sparse CSR tensor should not accept equal column indices in the same row
- Optimize torch.einsum
- UserWarning: Failed to initialize NumPy: No module named 'numpy'
- Docs
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