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116 lines
4.2 KiB
116 lines
4.2 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_transform.h"
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#include "paddle/framework/lod_tensor.h"
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#include "paddle/platform/device_context.h"
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namespace paddle {
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namespace framework {
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DataTransformFnMap& DataTransformFnMap::Instance() {
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static DataTransformFnMap data_transform_map;
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return data_transform_map;
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}
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auto KernelFP32 = OpKernelType(proto::DataType::FP32, platform::CPUPlace(),
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DataLayout::kNHWC, LibraryType::kPlain);
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auto KernelFP64 = OpKernelType(proto::DataType::FP64, platform::CPUPlace(),
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DataLayout::kNHWC, LibraryType::kPlain);
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auto KernelNHWC = OpKernelType(proto::DataType::FP64, platform::CPUPlace(),
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DataLayout::kNHWC, LibraryType::kPlain);
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auto KernelNCHW = OpKernelType(proto::DataType::FP64, platform::CPUPlace(),
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DataLayout::kNCHW, LibraryType::kPlain);
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void TransDataType(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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"TransDataType Only Support DataType transform on same place!");
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auto src = in.Get<Tensor>();
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auto* dst = out->GetMutable<Tensor>();
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auto dims = src.dims();
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dst->Resize(dims);
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auto dst_type = kernel_pair.second.data_type_;
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auto src_type = kernel_pair.first.data_type_;
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switch (src_type) {
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case proto::DataType::FP32:
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framework::VisitDataType(dst_type, CastDataType<float>(src, dst, ctx));
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break;
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case proto::DataType::FP64:
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framework::VisitDataType(dst_type, CastDataType<double>(src, dst, ctx));
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break;
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case proto::DataType::INT32:
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framework::VisitDataType(dst_type, CastDataType<int>(src, dst, ctx));
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break;
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case proto::DataType::INT64:
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framework::VisitDataType(dst_type, CastDataType<int64_t>(src, dst, ctx));
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break;
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case proto::DataType::BOOL:
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framework::VisitDataType(dst_type, CastDataType<bool>(src, dst, ctx));
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break;
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default:
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PADDLE_THROW("Not support type %d", src_type);
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}
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}
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void TransDataLayout(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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"TransDataType Only Support DataType transform on same place!");
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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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dst->Resize(src_dim);
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auto place = kernel_pair.second.place_;
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CopyFrom(src, place, *ctx, dst);
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const std::vector<int> axis = {0, 2, 3, 1};
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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 src_type = kernel_pair.first.data_type_;
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framework::VisitDataType(src_type, CastDataLayout(src, dst, ctx, axis));
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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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namespace f = paddle::framework;
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REGISTER_DATA_TRANSFORM_FN(f::KernelFP32, f::KernelFP64, f::TransDataType);
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REGISTER_DATA_TRANSFORM_FN(f::KernelNHWC, f::KernelNCHW, f::TransDataLayout);
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