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First step towards #83775 - only `to_padded_tensor` is moved to the nested namespace for now - following the schema used for `special`, `fft`, `linalg` and other namespaces, nested functions are registered in native_functions.yaml as `nested_{function_name}` and are bound to the desired Python name in `torch/nested/__init__.py`, and the desired C++ name in `torch/csrc/api/include/torch/nested.h`. ~~**Question**: should we keep the documentation for `Tensor.to_padded_tensor` or can this deleted since it is shared by `torch.nested.to_padded_tensor`?~~ [generated nested docs](https://docs-preview.pytorch.org/84102/nested.html?highlight=nested#module-torch.nested) Differential Revision: [D39361148](https://our.internmc.facebook.com/intern/diff/D39361148) Pull Request resolved: https://github.com/pytorch/pytorch/pull/84102 Approved by: https://github.com/drisspg
10 lines
122 B
C++
10 lines
122 B
C++
#pragma once
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namespace torch {
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namespace autograd {
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void initNestedFunctions(PyObject* module);
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}
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} // namespace torch
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