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This pull request addresses an inconsistency in the representation of the Hadamard product across PyTorch documentation. Currently, the notation varies among different modules: - In `torch.nn.LSTM` documentation the Hadamard product is represented with $\odot$ - In `torch.nn.GRU` documentation the Hadamard product is represented with $*$ - In `torch.nn.LSTMCell` documentation the Hadamard product is represented with $*$ - In `torch.nn.GRUCell` documentation the Hadamard product is represented with $*$ - In `torch.ao.nn.quantized.dynamic.GRU` documentation the Hadamard product is represented with $*$ This PR proposes consistently representing the Hadamard product throughout the documentation to enhance clarity and align with established standards. The notation $\odot$ will be uniformly adopted, following the convention in the [Deep Learning Book](https://www.deeplearningbook.org/contents/linear_algebra.html). **Changes Made:** - Modified `torch.nn.GRU` documentation to represent the Hadamard product with $\odot$ - Modified `torch.nn.LSTMCell` documentation to represent the Hadamard product with $\odot$ - Modified `torch.nn.GRUCell` documentation to represent the Hadamard product with $\odot$ - Modified `torch.ao.nn.quantized.dynamic.GRU` documentation to represent the Hadamard product with $\odot$ Pull Request resolved: https://github.com/pytorch/pytorch/pull/111763 Approved by: https://github.com/albanD |
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| intrinsic | ||
| qat | ||
| quantizable | ||
| quantized | ||
| sparse | ||
| __init__.py | ||