pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- Class based Sampler for Class Incremental/Continual Learning research
- torch.distributions.Binomial.sample() uses a massive amount of memory
- RuntimeError: Given input size: (2048x1x1). Calculated output size: (2048x-5x-5). Output size is too small at /pytorch/aten/src/THNN/generic/SpatialAveragePooling.c:48
- torch.nn.threshold cannot accept tensor as a threshold
- [FR] [RFC] add Sequential.append & .extend
- [JIT] traced model with optimization shows no performance improvement
- Performance difference between 0.4.1 and 1.1.0
- Performance issue master (a25b79531)
- vectorized convert_to_int_of_same_size <int64_t> can't handle nan
- BatchNorm1d does not support batchsize>65535 in eval mode with 3 dimension (NxCxL), raise CUDNN_STATUS_NOT_SUPPORTED
- Docs
- Python not yet supported