wehub-resource-sync
57 lines
2.0 KiB
C++
57 lines
2.0 KiB
C++
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "paddle/phi/common/scalar.h"
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#include "paddle/phi/backends/context_pool.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/enforce.h"
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#include "paddle/phi/core/tensor_utils.h"
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namespace paddle::experimental {
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// The Tensor must have one dim
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template <>
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PADDLE_API ScalarBase<DenseTensor>::ScalarBase(const DenseTensor& tensor_in)
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: dtype_(tensor_in.dtype()) { // NOLINT
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PADDLE_ENFORCE_EQ(tensor_in.numel(),
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1,
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common::errors::InvalidArgument(
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"The Scalar only supports Tensor with 1 element, but "
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"now Tensor has `%d` elements",
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tensor_in.numel()));
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auto cpu_place = phi::CPUPlace();
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if (tensor_in.place().GetType() != phi::AllocationType::CPU) {
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DenseTensor tensor;
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phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
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auto dev_ctx = pool.Get(tensor_in.place());
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phi::Copy(*dev_ctx, tensor_in, cpu_place, true, &tensor);
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GetDataFromTensor(tensor);
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} else {
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GetDataFromTensor(tensor_in);
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}
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}
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bool operator==(const Scalar& lhs, const Scalar& rhs) {
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return lhs.operator==(rhs);
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}
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bool operator!=(const Scalar& lhs, const Scalar& rhs) {
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return lhs.operator!=(rhs);
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}
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std::ostream& operator<<(std::ostream& os, const Scalar& s) {
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return os << s.ToString();
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}
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} // namespace paddle::experimental
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