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Forked from pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
C++ 2
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Forked from pytorch/nestedtensor
[EXPERIMENTAL] Tools for the concurrent manipulation of variably sized Tensors.
Python
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Forked from pytorch/audio
Data manipulation and transformation for audio signal processing, powered by PyTorch
Python
778 contributions in the last year
Contribution activity
November 2020
Created 2 commits in 1 repository
Created a pull request in pytorch/pytorch that received 1 comment
Opened 3 other pull requests in 1 repository
Reviewed 67 pull requests in 1 repository
pytorch/pytorch 67 pull requests
- [numpy] Add unary-ufunc tests for `erf` variants
- [docs] fix torch.swap{dim/axes} to showup in docs
- Re-enable only cuda tests wrongly disabled before
- torch.fft: Remove complex gradcheck workaround
- An implementation of torch.tile as requested in pytorch/pytorch#38349
- [numpy] `torch.log1p` : promote integer inputs to float
- Sparse-sparse matrix multiplication (CPU/CUDA)
- Fix assertEqual's handling of numpy array inputs
- Add basic ldexp operator for numpy compatibility
- [v1.7.1] [complex] torch.sqrt: fix edge values (#47424)
- Added linalg.matrix_rank
- Migrate `eig` from the TH to Aten (CUDA)
- Proposing some safety exceptions
- [CUDA] Optimize sumproduct_pair for certain inputs
- Implement igammac (3rd PR)
- Enable complex tests that depend on batched matmul on CUDA
- Added linalg.tensorinv
- Refactor mkl fft planning to not use Tensor objects
- Refactor CuFFTConfig to not use tensor objects
- fft: Generalize fill with conjugate symmetry and use complex dtypes
- Add tensor.view(dtype)
- Add `torch.swapdims` and `torch.swapaxes`
- Added linalg.eigh, linalg.eigvalsh
- implement torch.addr using TensorIterator based kernels
- [numpy] torch.{all/any} : output dtype is always bool
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Created an issue in pytorch/pytorch that received 4 comments
Create a mechanism to trigger tests that only warn once
Today in PyTorch we have TORCH_WARN and TORCH_WARN_ONCE. TORCH_WARN_ONCE, as its name suggests, only throws a warning one time. This makes it trick…