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https://github.com/zebrajr/pytorch.git
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40d1f77384
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/68693
Generation of python bindings for native functions is split over 8
different files. One for each namespace, with the torch namespace
split into 3 shards, and methods in their own file as well. This
change ensures that editing any single (non-method) operator only
causes one of these files to be rebuilt.
Test Plan: Imported from OSS
Reviewed By: jbschlosser
Differential Revision: D32596270
Pulled By: albanD
fbshipit-source-id: 0570ec69e7476b8f1bc21138ba18fe8f95ebbe3f
(cherry picked from commit ba0fc71a3a)
22 lines
582 B
C++
22 lines
582 B
C++
#pragma once
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#include <torch/csrc/python_headers.h>
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#include <ATen/core/Tensor.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, bool warn_if_not_writeable=true);
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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_available();
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bool is_numpy_int(PyObject* obj);
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bool is_numpy_scalar(PyObject* obj);
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void warn_numpy_not_writeable();
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at::Tensor tensor_from_cuda_array_interface(PyObject* obj);
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}} // namespace torch::utils
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