wehub-resource-sync
72 lines
2.3 KiB
C++
72 lines
2.3 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/int_array.h"
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#include "paddle/phi/api/include/tensor.h"
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#include "paddle/phi/api/lib/tensor_copy.h"
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#include "paddle/phi/common/place.h"
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namespace paddle::experimental {
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template <>
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IntArrayBase<Tensor>::IntArrayBase(const Tensor& tensor) { // NOLINT
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is_from_tensor_ = true;
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if (tensor.place().GetType() == phi::AllocationType::CPU) {
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AssignDataFromTensor(tensor);
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} else {
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Tensor tensor_tmp;
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copy(tensor, phi::CPUPlace(), true, &tensor_tmp);
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AssignDataFromTensor(tensor_tmp);
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}
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}
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template <>
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IntArrayBase<Tensor>::IntArrayBase(const std::vector<Tensor>& tensor_list) {
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is_from_tensor_ = true;
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for (const auto& tensor : tensor_list) {
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DataType data_type = tensor.dtype();
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switch (data_type) {
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case DataType::INT32:
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if (tensor.place().GetType() == AllocationType::CPU) {
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array_.push_back(*tensor.template data<int32_t>());
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} else {
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Tensor tensor_tmp;
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copy(tensor, phi::CPUPlace(), true, &tensor_tmp);
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array_.push_back(*tensor_tmp.template data<int32_t>());
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}
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break;
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case DataType::INT64:
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if (tensor.place().GetType() == AllocationType::CPU) {
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array_.push_back(*tensor.template data<int64_t>());
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} else {
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Tensor tensor_tmp;
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copy(tensor, phi::CPUPlace(), true, &tensor_tmp);
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array_.push_back(*tensor_tmp.template data<int64_t>());
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}
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break;
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default:
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PD_THROW(
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"Data type error. Currently, The data type of IntArrayBase "
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"only supports Tensor with int32 and int64, "
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"but now received `",
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data_type,
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"`.");
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}
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}
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}
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} // namespace paddle::experimental
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