wehub-resource-sync
48 lines
2.2 KiB
C++
48 lines
2.2 KiB
C++
// Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// The file has been adapted from pytorch project
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// Licensed under BSD-style license -
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// https://github.com/pytorch/pytorch/blob/main/LICENSE
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#pragma once
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#include <ATen/core/Tensor.h>
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#include <c10/core/ScalarType.h>
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#include "paddle/common/macros.h"
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namespace at {
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#define TENSOR(T, S) \
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PADDLE_API Tensor tensor(ArrayRef<T> values, const TensorOptions& options); \
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inline Tensor tensor(std::initializer_list<T> values, \
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const TensorOptions& options) { \
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return at::tensor(ArrayRef<T>(values), options); \
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} \
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inline Tensor tensor(T value, const TensorOptions& options) { \
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return at::tensor(ArrayRef<T>(value), options); \
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} \
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inline Tensor tensor(ArrayRef<T> values) { \
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return at::tensor(std::move(values), at::dtype(k##S)); \
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} \
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inline Tensor tensor(std::initializer_list<T> values) { \
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return at::tensor(ArrayRef<T>(values)); \
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} \
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inline Tensor tensor(T value) { return at::tensor(ArrayRef<T>(value)); }
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AT_FORALL_SCALAR_TYPES_AND3(Bool, Half, BFloat16, TENSOR)
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AT_FORALL_COMPLEX_TYPES(TENSOR)
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#undef TENSOR
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} // namespace at
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