pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- Unbacked SymInts: Should backwards graph with unbacked SymInts be recompiled with hints
- [NJT] Allow construction of NJT within graph using offsets from inputs
- torch.Tensor.remainder raises a floating point exception when divisor is -1
- `torch.distributed` hangs when using `torch.distributed.barrier` before any other communication primitives.
- Variant of slice that doesn't perform clamp behavior
- PyTorch Memory Management in GPU-to-CPU Transfers issue
- [feature request] allow torch.compile calls with compiler options, but without modifying global dynamo options
- Find a common home for decompositions, perhaps outside of the obliquely named _refs directory
- [dynamo] Support ndarray.dtype attribute access
- optim.apply_optimizer_in_backward does not account for gradient accumulation
- Docs
- Python not yet supported