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32ed676b46
Summary: The corresponding numpy_dtype_to_aten is public already so this should be fine. Tests still pass. Pull Request resolved: https://github.com/pytorch/pytorch/pull/23943 Differential Revision: D16690742 Pulled By: soumith fbshipit-source-id: 81431a3316509cff8a9122e10e8f6a362bbcc9c0
19 lines
448 B
C++
19 lines
448 B
C++
#pragma once
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#include <torch/csrc/python_headers.h>
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#include <ATen/ATen.h>
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namespace torch { namespace utils {
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PyObject* tensor_to_numpy(const at::Tensor& tensor);
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at::Tensor tensor_from_numpy(PyObject* obj);
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int aten_to_numpy_dtype(const at::ScalarType scalar_type);
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at::ScalarType numpy_dtype_to_aten(int dtype);
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bool is_numpy_scalar(PyObject* obj);
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at::Tensor tensor_from_cuda_array_interface(PyObject* obj);
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}} // namespace torch::utils
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