wehub-resource-sync
105 lines
3.4 KiB
C++
105 lines
3.4 KiB
C++
// 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/framework/op_kernel_type.h"
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#include "paddle/phi/core/utils/data_type.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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namespace paddle::framework {
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std::vector<int> GetAxis(const DataLayout& from, const DataLayout& to) {
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PADDLE_ENFORCE_NE(
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from,
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to,
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common::errors::InvalidArgument(
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"Layout transform should transform between different layout."));
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if (from == DataLayout::NCHW && to == DataLayout::NHWC) {
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return {0, 2, 3, 1};
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} else if (from == DataLayout::NHWC && to == DataLayout::NCHW) {
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return {0, 3, 1, 2};
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} else {
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PADDLE_THROW(
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common::errors::InvalidArgument("Unsupported layout transform."));
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}
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}
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template <typename T>
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void CastDataLayout::apply() {
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auto place = ctx_->GetPlace();
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if (phi::is_cpu_place(place)) {
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phi::funcs::Transpose<phi::CPUContext, T, 4> trans4;
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auto* context = static_cast<const phi::CPUContext*>(ctx_);
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trans4(*context, in_, out_, axis_);
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} else {
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PADDLE_THROW(common::errors::PreconditionNotMet(
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"Unsupported data layout cast from CPU to GPU."));
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}
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}
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void TransDataLayout(const phi::KernelKey& kernel_type_for_var,
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const phi::KernelKey& expected_kernel_type,
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const DenseTensor& in,
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DenseTensor* out,
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const Place& place) {
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PADDLE_ENFORCE(
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backends_are_same_class(kernel_type_for_var.backend(),
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expected_kernel_type.backend()),
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common::errors::PreconditionNotMet(
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"TransDataLayout only support DataLayout transform on same place."));
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TransDataLayout(kernel_type_for_var.layout(),
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expected_kernel_type.layout(),
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place,
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in,
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out);
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}
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void TransDataLayout(DataLayout from_layout,
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DataLayout to_layout,
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Place place,
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const DenseTensor& in,
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DenseTensor* out) {
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PADDLE_ENFORCE_EQ(
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arity(in.dims()),
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4,
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common::errors::InvalidArgument(
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"Input dimension arity only can be 4, the input dimension is %s.",
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in.dims()));
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auto& pool = phi::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(from_layout, to_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(common::make_ddim(dst_dim));
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out->mutable_data(place, in.dtype());
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framework::VisitDataType(
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static_cast<proto::VarType::Type>(phi::TransToProtoVarType(in.dtype())),
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CastDataLayout(pool.Get(place), axis, in, out));
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out->set_layout(to_layout);
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}
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} // namespace paddle::framework
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