pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- save the reciprocal of weights for welford_reduce
- DISABLED test_comprehensive_special_bessel_y1_cuda_float32 (__main__.TestInductorOpInfoCUDA)
- Test benchmark suite with data dependent options on for dynamic shapes
- Updated test_graph_optims and test_graph_scaling_fused_optimizers to use new OptimizerInfo infrastructure
- DISABLED test_slice_expanded_v (__main__.TestAutogradWithCompiledAutograd)
- Fix exception handling in torch._dynamo.utils.same and add corresponding test
- Does torch.nn.Linear check the weights shape before assignment?
- Refactor and Fix Some Prombles on Autocast
- [Storage_ipc] Provides IPC extensions for 3rd devices.
- Allow linalg.lstsq to use svd to compute the result for rank deficient matrices.
- Docs
- Python not yet supported