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92 lines
3.1 KiB
92 lines
3.1 KiB
// Copyright (c) 2018 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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#include "paddle/fluid/framework/data_layout_transform.h"
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#include "paddle/fluid/operators/math/math_function.h"
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namespace paddle {
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namespace framework {
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std::vector<int> GetAxis(const DataLayout& from, const DataLayout& to) {
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PADDLE_ENFORCE_NE(from, to,
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"layout transform should transform different layout");
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if (from == DataLayout::kNCHW && to == DataLayout::kNHWC) {
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return {0, 2, 3, 1};
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} else if (from == DataLayout::kNHWC && to == DataLayout::kNCHW) {
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return {0, 3, 1, 2};
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} else {
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PADDLE_THROW("unsupported transform");
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}
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}
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struct CastDataLayout {
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CastDataLayout(const platform::DeviceContext* ctx,
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const std::vector<int>& axis, const framework::Tensor& in,
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framework::Tensor* out)
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: in_(in), out_(out), ctx_(ctx), axis_(axis) {}
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const framework::Tensor in_;
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framework::Tensor* out_;
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const platform::DeviceContext* ctx_;
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const std::vector<int> axis_;
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template <typename T>
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void operator()() {
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auto place = ctx_->GetPlace();
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if (platform::is_cpu_place(place)) {
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operators::math::Transpose<platform::CPUDeviceContext, T, 4> trans4;
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auto* context = static_cast<const platform::CPUDeviceContext*>(ctx_);
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trans4(*context, in_, out_, axis_);
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} else {
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PADDLE_THROW("Unsupport CPU <-> GPU!");
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}
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}
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};
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void TransDataLayout(const OpKernelType& kernel_type_for_var,
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const OpKernelType& expected_kernel_type, const Tensor& in,
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Tensor* out) {
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PADDLE_ENFORCE(
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platform::places_are_same_class(kernel_type_for_var.place_,
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expected_kernel_type.place_),
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"TransDataLayout only support DataLayout transform on same place!");
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PADDLE_ENFORCE(arity(in.dims()) == 4, "Input Arity only support 4!");
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auto& pool = platform::DeviceContextPool::Instance();
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auto src_dim = in.dims();
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std::vector<int64_t> dst_dim;
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auto axis = GetAxis(kernel_type_for_var.data_layout_,
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expected_kernel_type.data_layout_);
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dst_dim.resize(axis.size());
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for (size_t i = 0; i < axis.size(); i++) {
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dst_dim[i] = src_dim[axis[i]];
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}
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out->Resize(make_ddim(dst_dim));
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out->mutable_data(expected_kernel_type.place_, in.type());
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framework::VisitDataType(
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framework::ToDataType(in.type()),
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CastDataLayout(pool.Get(expected_kernel_type.place_), axis, in, out));
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out->set_layout(expected_kernel_type.data_layout_);
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}
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} // namespace framework
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} // namespace paddle
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