pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- `nn.Embedding` behaves differently on CPU (fails) and MPS (fails not)
- GRU is super slow on MPS backend
- Enable UFMT on all files in PyTorch
- Saving & Loading Model Across [In-tree and out-of-tree] Devices
- build error: memory_desc.cpp:716:1: internal compiler error: Segmentation fault
- Alternate algorithm for computing MaxPool2D under specific condition.
- mps training is slower than cpu
- Stack smashing detected on nccl initialization
- cpu performance for int4mm kernels
- Deprecate accessing FakeTensor.data_ptr outside of torch.compile
- Docs
- Python not yet supported