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73 lines
2.3 KiB
73 lines
2.3 KiB
/* Copyright (c) 2016 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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#pragma once
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/var_type.h"
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#include "paddle/fluid/platform/device_context.h"
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namespace paddle {
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namespace operators {
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class AssignFunctor {
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public:
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AssignFunctor(framework::Variable *out,
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const platform::DeviceContext &dev_ctx)
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: out_(out), dev_ctx_(dev_ctx) {}
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void operator()(const framework::LoDTensor &lod_tensor) const {
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auto &out_tensor = *out_->GetMutable<framework::LoDTensor>();
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copy_tensor(lod_tensor, &out_tensor);
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}
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void operator()(const framework::LoDTensorArray &array) const {
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auto &out_array = *out_->GetMutable<framework::LoDTensorArray>();
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out_array.resize(array.size());
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for (size_t i = 0; i < array.size(); ++i) {
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copy_tensor(array[i], &out_array[i]);
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}
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}
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void operator()(const framework::SelectedRows &rows) const {
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framework::SelectedRows &out_rows =
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*out_->GetMutable<framework::SelectedRows>();
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out_rows.set_rows(rows.rows());
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out_rows.set_height(rows.height());
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auto &t = rows.value();
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auto *m = out_rows.mutable_value();
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framework::TensorCopy(t, t.place(), dev_ctx_, m);
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}
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template <typename T>
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void operator()(const T &v) const {
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PADDLE_THROW("Not support type for assign op %s", typeid(T).name());
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}
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private:
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void copy_tensor(const framework::LoDTensor &lod_tensor,
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framework::LoDTensor *out) const {
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if (lod_tensor.numel() == 0) return;
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auto &out_tensor = *out;
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TensorCopy(lod_tensor, lod_tensor.place(), dev_ctx_, &out_tensor);
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out_tensor.set_lod(lod_tensor.lod());
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}
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framework::Variable *out_;
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const platform::DeviceContext &dev_ctx_;
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};
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} // namespace operators
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} // namespace paddle
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