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93 lines
3.4 KiB
93 lines
3.4 KiB
/* Copyright (c) 2019 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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#pragma once
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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/platform/device_code.h"
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namespace paddle {
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namespace operators {
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static void MutableMultiTypeData(
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std::vector<paddle::framework::LoDTensor*>* var,
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const std::vector<int>& data_type, const platform::Place& place) {
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for (size_t i = 0; i < var->size(); i++) {
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if (data_type[i] == framework::proto::VarType::FP32) {
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(*var)[i]->mutable_data<float>(place);
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} else if (data_type[i] == framework::proto::VarType::FP16) {
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(*var)[i]->mutable_data<paddle::platform::float16>(place);
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} else if (data_type[i] == framework::proto::VarType::FP64) {
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(*var)[i]->mutable_data<double>(place);
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}
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}
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}
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template <typename DeviceContext, typename T>
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class FusionGroupKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override {
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auto ins = ctx.MultiInput<framework::LoDTensor>("Inputs");
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auto outs = ctx.MultiOutput<framework::LoDTensor>("Outs");
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int type = ctx.Attr<int>("type");
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const auto& outs_dtype = ctx.Attr<std::vector<int>>("outs_dtype");
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const auto& inputs_dtype = ctx.Attr<std::vector<int>>("inputs_dtype");
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size_t num_ins = ins.size();
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size_t num_outs = outs.size();
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auto place = ctx.GetPlace();
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MutableMultiTypeData(&outs, outs_dtype, place);
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std::string func_name = ctx.Attr<std::string>("func_name");
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platform::DeviceCode* dev_code =
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platform::DeviceCodePool::Instance().Get(place, func_name);
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VLOG(3) << "func_name: " << func_name;
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if (type == 0) {
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size_t n = ins[0]->numel();
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std::vector<void*> args;
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args.push_back(&n);
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std::vector<const void*> ptrs(num_ins + num_outs);
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for (size_t i = 0; i < num_ins; ++i) {
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if (inputs_dtype[i] == framework::proto::VarType::FP16) {
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ptrs[i] = ins[i]->data<paddle::platform::float16>();
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} else if (inputs_dtype[i] == framework::proto::VarType::FP32) {
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ptrs[i] = ins[i]->data<float>();
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} else if (inputs_dtype[i] == framework::proto::VarType::FP64) {
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ptrs[i] = ins[i]->data<double>();
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}
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args.push_back(&ptrs[i]);
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}
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for (size_t j = 0; j < num_outs; ++j) {
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if (outs_dtype[j] == framework::proto::VarType::FP16) {
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ptrs[num_ins + j] = outs[j]->data<paddle::platform::float16>();
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} else if (outs_dtype[j] == framework::proto::VarType::FP32) {
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ptrs[num_ins + j] = outs[j]->data<float>();
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} else if (outs_dtype[j] == framework::proto::VarType::FP64) {
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ptrs[num_ins + j] = outs[j]->data<double>();
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}
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args.push_back(&ptrs[num_ins + j]);
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}
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dev_code->Launch(n, &args);
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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