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83 lines
2.8 KiB
83 lines
2.8 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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/framework/data_layout_transform.h"
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#include "paddle/framework/tensor.h"
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#include "paddle/operators/math/math_function.h"
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namespace paddle {
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namespace framework {
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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 std::vector<int>& axis,
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const platform::DeviceContext* ctx,
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const KernelTypePair& kernel_pair, const Variable& in,
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Variable* out) {
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PADDLE_ENFORCE(in.IsType<Tensor>(), "Only support Tensor transform!.");
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PADDLE_ENFORCE(
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platform::places_are_same_class(kernel_pair.first.place_,
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kernel_pair.second.place_),
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"TransDataLayout only support DataLayout transform on same place!");
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PADDLE_ENFORCE(kernel_pair.first.data_type_ == kernel_pair.second.data_type_,
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"TransDataLayout only support Datatype are same!");
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auto src = in.Get<Tensor>();
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auto* dst = out->GetMutable<Tensor>();
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PADDLE_ENFORCE(arity(src.dims()) == 4, "Input Arity Only Suppport 4!");
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auto src_dim = src.dims();
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std::vector<int64_t> dst_dim;
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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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dst->Resize(make_ddim(dst_dim));
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auto place = kernel_pair.second.place_;
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dst->mutable_data(place, src.type());
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auto src_type = kernel_pair.first.data_type_;
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framework::VisitDataType(src_type, CastDataLayout(ctx, axis, src, dst));
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dst->set_layout(kernel_pair.second.data_layout_);
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}
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} // namespace framework
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} // namespace paddle
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