pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- Failed to create Gloo new group after initialized with NCCL
- There is a problem with GPU memory reclamation
- DISABLED test_ind_worker_queue (__main__.TestIndividualWorkerQueue)
- [Runtime Error in ddp_pipeline.py] RuntimeError: unsupported operation: some elements of the input tensor and the written-to tensor refer to a single memory location. Please clone() the tensor before performing the operation.
- Windows multi machine multi card training, card initialization in GLOO communication.
- ImportError: cannot import name 'ProcessGroup' from 'torch.distributed'
- c10::CUDAError
- [feature request] Provide functional form of scheduler formulas (and reconsider older decisions of not doing it)
- Casting real parameter to complex during forward produces warning on backward
- Potential race conditions between multiple workers trying to download and cache the same file in torch.hub.load_state_dict_from_url and torch.hub.download_url_to_file <- duplicate dataset/model downloads across DDP workers
- Docs
- Python not yet supported