86 lines
3.0 KiB
86 lines
3.0 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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#include "paddle/fluid/framework/data_transform.h"
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#include "paddle/fluid/framework/data_device_transform.h"
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#include "paddle/fluid/framework/data_layout_transform.h"
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#include "paddle/fluid/framework/data_type_transform.h"
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namespace paddle {
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namespace framework {
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static void PassTensorData(Tensor* from, Tensor* to) {
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to->ShareDataWith(*from);
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*from = Tensor();
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}
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void DataTransform(const OpKernelType& expected_kernel_type,
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const OpKernelType& kernel_type_for_var,
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const Tensor& input_tensor, Tensor* output_tensor) {
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bool transformed = false;
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Tensor in;
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in.ShareDataWith(input_tensor);
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Tensor out;
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// do layout transform
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if (NeedTransformLayout(expected_kernel_type.data_layout_,
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kernel_type_for_var.data_layout_)) {
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TransDataLayout(kernel_type_for_var, expected_kernel_type, in, &out);
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transformed = true;
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PassTensorData(&out, &in);
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}
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// do data type transform
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if (expected_kernel_type.data_type_ != kernel_type_for_var.data_type_) {
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TransDataType(kernel_type_for_var, expected_kernel_type, in, &out);
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transformed = true;
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PassTensorData(&out, &in);
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}
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// do device transform
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if (!platform::is_same_place(kernel_type_for_var.place_,
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expected_kernel_type.place_)) {
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TransDataDevice(in, expected_kernel_type.place_, &out);
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transformed = true;
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PassTensorData(&out, &in);
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}
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PADDLE_ENFORCE(transformed, "No transform is applied, please check!");
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// get output data
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output_tensor->ShareDataWith(in);
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}
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void CopyVariableWithTensor(const Variable& in_var, const Tensor& tensor,
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Variable& out_var) {
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if (in_var.IsType<LoDTensor>()) {
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auto& in_lod_tensor = in_var.Get<LoDTensor>();
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auto* tran_lod_tensor = out_var.GetMutable<LoDTensor>();
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tran_lod_tensor->set_lod(in_lod_tensor.lod());
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tran_lod_tensor->set_layout(in_lod_tensor.layout());
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tran_lod_tensor->ShareDataWith(tensor);
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} else if (in_var.IsType<SelectedRows>()) {
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auto& in_selected_rows = in_var.Get<SelectedRows>();
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auto* trans_selected_rows = out_var.GetMutable<SelectedRows>();
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trans_selected_rows->set_height(in_selected_rows.height());
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trans_selected_rows->set_rows(in_selected_rows.rows());
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trans_selected_rows->mutable_value()->ShareDataWith(tensor);
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} else {
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PADDLE_THROW("unknown var type");
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}
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}
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} // namespace framework
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} // namespace paddle
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