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https://github.com/saymrwulf/pytorch.git
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8854817f44
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/60627 In this PR, the core of `frombuffer` and `fromDLPack` onto _tensor_new.cpp_. `asarray` uses such refactored functions for interpreting the object as a tensor. We follow the Python Array API standard found: https://data-apis.org/array-api/latest/API_specification/creation_functions.html?highlight=asarray Test Plan: Imported from OSS Reviewed By: H-Huang Differential Revision: D31640510 Pulled By: mruberry fbshipit-source-id: d0869e0d73cb50023d5866b001dac5d34ca30dfd
21 lines
575 B
C++
21 lines
575 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, 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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