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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. 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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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/*!
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* \file executor.hpp
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* \brief implementation of the executor
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* \author Zhang Chen, Chuntao Hong
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*/
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#ifndef MXNET_CPP_EXECUTOR_HPP_
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#define MXNET_CPP_EXECUTOR_HPP_
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#include <vector>
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#include <map>
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#include <string>
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#include "mxnet-cpp/executor.h"
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#include "mxnet-cpp/optimizer.h"
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namespace mxnet {
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namespace cpp {
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inline Executor::Executor(const Symbol &symbol, Context context,
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const std::vector<NDArray> &arg_arrays,
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const std::vector<NDArray> &grad_arrays,
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const std::vector<OpReqType> &grad_reqs,
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const std::vector<NDArray> &aux_arrays,
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const std::map<std::string, Context> &group_to_ctx,
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Executor *shared_exec) {
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this->arg_arrays = arg_arrays;
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this->grad_arrays = grad_arrays;
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this->aux_arrays = aux_arrays;
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this->symbol_ = symbol;
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this->device_type = context.GetDeviceType();
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this->device_id = context.GetDeviceId();
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std::vector<NDArrayHandle> arg_handles;
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std::vector<NDArrayHandle> grad_handles;
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CHECK_EQ(arg_arrays.size(), grad_arrays.size())
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<< "Number of input arg_arrays is different from the number of input grad_arrays";
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for (int i = 0; i < arg_arrays.size(); i++) {
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if (grad_arrays[i].GetShape().size() != 0) {
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grad_handles.push_back(grad_arrays[i].GetHandle());
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arg_handles.push_back(arg_arrays[i].GetHandle());
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}
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}
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this->require_grad = false;
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std::vector<mx_uint> grad_reqs_uint;
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for (auto s : grad_reqs) {
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if (s != OpReqType::kNullOp) {
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this->require_grad = true;
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}
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grad_reqs_uint.push_back(s);
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}
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CHECK_EQ(MXAutogradMarkVariables(arg_handles.size(), arg_handles.data(),
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grad_reqs_uint.data(), grad_handles.data()), 0);
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std::map<std::string, NDArray> arg_map = arg_dict();
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std::map<std::string, NDArray> aux_map = aux_dict();
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const auto input_name_list = symbol_.ListInputs();
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std::vector<NDArray> combined_arrays;
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for (size_t i = 0; i < input_name_list.size(); ++i) {
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const auto &input_name = input_name_list[i];
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auto iter_arg = arg_map.find(input_name);
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if (iter_arg != arg_map.end()) {
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combined_arrays.push_back(iter_arg->second);
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} else {
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auto iter_aux = aux_map.find(input_name);
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CHECK(iter_aux != aux_map.end())
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<< "Can not find name in args array and aux array";
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combined_arrays.push_back(iter_aux->second);
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}
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}
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this->combined_arrays = combined_arrays;
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CHECK_EQ(MXCreateCachedOp(symbol.GetHandle(), 0, nullptr, nullptr, &handle_, false), 0);
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}
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} // namespace cpp
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} // namespace mxnet
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#endif // MXNET_CPP_EXECUTOR_HPP_
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