forked from huawei/mindspore2022
318 lines
11 KiB
C++
318 lines
11 KiB
C++
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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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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*/
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#include "kernel/aicpu/aicpu_kernel_build.h"
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#include <google/protobuf/text_format.h>
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#include <fstream>
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#include <utility>
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#include <string>
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#include <vector>
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#include <memory>
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#include <algorithm>
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#include <map>
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#include "device/kernel_runtime.h"
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#include "kernel/aicpu/aicpu_kernel_mod.h"
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#include "kernel/akg/akgkernelbuild.h"
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#include "proto/tensor.pb.h"
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#include "proto/tensor_shape.pb.h"
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#include "proto/attr.pb.h"
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#include "proto/node_def.pb.h"
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#include "session/anf_runtime_algorithm.h"
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#include "common/utils.h"
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#include "kernel/aicpu/aicpu_util.h"
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#include "session/kernel_graph.h"
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#include "kernel/common_utils.h"
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namespace mindspore {
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namespace kernel {
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using FNodeAttrHandle = std::function<void(const std::shared_ptr<AnfNode> &anf_node, mindspore::NodeDef *proto)>;
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const std::vector<std::string> local_framework_op_vec = {kInitData, kGetNext, kDropoutGenMask, kPrint};
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bool SetIOIputSize(const std::shared_ptr<AnfNode> &anf_node, const size_t &input_num,
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std::vector<size_t> *input_size_list) {
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MS_EXCEPTION_IF_NULL(anf_node);
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MS_EXCEPTION_IF_NULL(input_size_list);
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for (size_t i = 0; i < input_num; i++) {
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std::vector<size_t> shape_i = AnfAlgo::GetInputDeviceShape(anf_node, i);
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if (AnfAlgo::GetInputDeviceDataType(anf_node, i) == kObjectTypeString) {
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if (!anf_node->isa<CNode>()) {
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MS_LOG(EXCEPTION) << "anf_node is not CNode.";
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}
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auto cnode = anf_node->cast<CNodePtr>();
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auto input_node = cnode->inputs()[i + 1];
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if (input_node->isa<ValueNode>()) {
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auto value_ptr = GetValueNode(input_node);
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auto value = GetValue<std::string>(value_ptr);
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input_size_list->push_back(value.size());
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}
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} else {
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auto type_ptr = TypeIdToType(AnfAlgo::GetInputDeviceDataType(anf_node, i));
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MS_EXCEPTION_IF_NULL(type_ptr);
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int size_i = 1;
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for (size_t j = 0; j < shape_i.size(); j++) {
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IntMulWithOverflowCheck(size_i, static_cast<int>(shape_i[j]), &size_i);
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}
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size_t type_byte = GetTypeByte(type_ptr);
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if (type_byte == 0) {
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return false;
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}
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IntMulWithOverflowCheck(size_i, SizeToInt(type_byte), &size_i);
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input_size_list->push_back(IntToSize(size_i));
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}
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}
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return true;
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}
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bool SetIOSize(const std::shared_ptr<AnfNode> &anf_node, const std::shared_ptr<AicpuOpKernelMod> &kernel_mod_ptr) {
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MS_EXCEPTION_IF_NULL(anf_node);
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MS_EXCEPTION_IF_NULL(kernel_mod_ptr);
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std::vector<size_t> input_size_list;
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std::vector<size_t> output_size_list;
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size_t input_num = AnfAlgo::GetInputTensorNum(anf_node);
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size_t output_num = AnfAlgo::GetOutputTensorNum(anf_node);
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if (!SetIOIputSize(anf_node, input_num, &input_size_list)) {
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return false;
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}
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kernel_mod_ptr->SetInputSizeList(input_size_list);
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for (size_t i = 0; i < output_num; i++) {
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std::vector<size_t> shape_i = AnfAlgo::GetOutputDeviceShape(anf_node, i);
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TypePtr type_ptr = TypeIdToType(AnfAlgo::GetOutputDeviceDataType(anf_node, i));
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MS_EXCEPTION_IF_NULL(type_ptr);
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int size_i = 1;
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for (size_t j = 0; j < shape_i.size(); j++) {
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IntMulWithOverflowCheck(size_i, static_cast<int>(shape_i[j]), &size_i);
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}
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size_t type_byte = GetTypeByte(type_ptr);
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if (type_byte == 0) {
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return false;
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}
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IntMulWithOverflowCheck(size_i, SizeToInt(type_byte), &size_i);
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output_size_list.push_back(IntToSize(size_i));
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}
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kernel_mod_ptr->SetOutputSizeList(output_size_list);
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return true;
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}
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void ParseAttrValue(const std::string &type, const std::string &attr_name, const mindspore::ValuePtr &value,
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::google::protobuf::Map<::std::string, ::mindspore::AttrValue> *node_attr) {
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MS_EXCEPTION_IF_NULL(node_attr);
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if (type == "int") {
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auto attr_value = GetValue<int>(value);
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(*node_attr)[attr_name].set_i(attr_value);
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} else if (type == "str") {
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auto attr_value = GetValue<std::string>(value);
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(*node_attr)[attr_name].set_s(attr_value);
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} else if (type == "bool") {
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auto attr_value = GetValue<bool>(value);
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(*node_attr)[attr_name].set_b(attr_value);
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} else if (type == "float") {
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auto attr_value = GetValue<float>(value);
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(*node_attr)[attr_name].set_f(attr_value);
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} else if (type == "listInt") {
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std::vector<int> attr_value;
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auto value_type = value->type();
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MS_EXCEPTION_IF_NULL(value_type);
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auto value_type_str = value_type->ToString();
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if (value_type_str == "Int32") {
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int data = GetValue<int>(value);
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attr_value.push_back(data);
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} else {
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attr_value = GetValue<std::vector<int>>(value);
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}
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mindspore::AttrValue input_shape_attr;
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mindspore::AttrValue_ArrayValue *input_shape_attr_list = input_shape_attr.mutable_array();
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MS_EXCEPTION_IF_NULL(input_shape_attr_list);
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for (const auto shape : attr_value) {
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input_shape_attr_list->add_i(shape);
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}
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(*node_attr)[attr_name] = input_shape_attr;
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} else {
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MS_LOG(EXCEPTION) << "type: " << type << "not support";
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}
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}
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void SetNodeAttr(const std::shared_ptr<AnfNode> &anf_node, mindspore::NodeDef *proto) {
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std::string op_name = AnfAlgo::GetCNodeName(anf_node);
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if (op_name == kInitDataSetQueue) {
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op_name = kInitData;
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}
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if (op_name == kPrint) {
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return;
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}
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auto op_info_ptr = mindspore::kernel::OpLib::FindOp(op_name, OpImplyType::kAICPU);
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MS_EXCEPTION_IF_NULL(op_info_ptr);
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auto attrs_ptr = op_info_ptr->attrs_ptr();
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auto primitive = AnfAlgo::GetCNodePrimitive(anf_node);
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MS_EXCEPTION_IF_NULL(primitive);
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::google::protobuf::Map<::std::string, ::mindspore::AttrValue> *node_attr = proto->mutable_attrs();
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for (const auto &attr_ptr : attrs_ptr) {
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std::string attr_name = attr_ptr->name();
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std::string real_name;
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auto value = primitive->GetAttr(attr_name);
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if (value != nullptr) {
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if (attr_name == kQueueName || attr_name == kSharedName) {
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real_name = kChannelName;
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} else if (attr_name == kSeed) {
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real_name = "seed";
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} else if (attr_name == kSeed2) {
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real_name = "seed2";
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}
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std::string type = attr_ptr->type();
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ParseAttrValue(type, real_name, value, node_attr);
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}
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}
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MS_LOG(INFO) << "Set node attr end!";
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}
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void SetNodeInputs(const std::shared_ptr<AnfNode> &anf_node, mindspore::NodeDef *proto) {
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size_t input_num = AnfAlgo::GetInputTensorNum(anf_node);
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if (input_num == 0) {
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MS_LOG(INFO) << "Node [" << AnfAlgo::GetCNodeName(anf_node) << "] does not have input. ";
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return;
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}
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for (size_t input_index = 0; input_index < input_num; input_index++) {
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::mindspore::Tensor *node_inputs = proto->add_inputs();
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MS_EXCEPTION_IF_NULL(node_inputs);
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TypeId input_type = AnfAlgo::GetInputDeviceDataType(anf_node, input_index);
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std::vector<size_t> input_shape;
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int32_t input_data_type;
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if (input_type == kObjectTypeString) {
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auto cnode = anf_node->cast<CNodePtr>();
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auto input_node = cnode->inputs()[input_index + 1];
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auto value_ptr = GetValueNode(input_node);
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auto value = GetValue<std::string>(value_ptr);
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input_shape.push_back(1);
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input_shape.push_back(value.size());
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input_data_type = AicpuOpUtil::MsTypeToProtoType(kTypeUnknown);
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} else {
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input_shape = AnfAlgo::GetInputDeviceShape(anf_node, input_index);
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input_data_type = AicpuOpUtil::MsTypeToProtoType(input_type);
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}
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mindspore::TensorShape *tensorShape = node_inputs->mutable_tensor_shape();
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for (auto item : input_shape) {
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mindspore::TensorShape_Dim *dim = tensorShape->add_dim();
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dim->set_size((::google::protobuf::int64)item);
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}
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node_inputs->set_tensor_type((mindspore::DataType)input_data_type);
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node_inputs->set_mem_device("HBM");
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}
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}
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void SetNodeOutputs(const std::shared_ptr<AnfNode> &anf_node, mindspore::NodeDef *proto) {
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size_t output_num = AnfAlgo::GetOutputTensorNum(anf_node);
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if (output_num == 0) {
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MS_LOG(INFO) << "Node [" << AnfAlgo::GetCNodeName(anf_node) << "] does not have output. ";
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return;
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}
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for (size_t output_index = 0; output_index < output_num; output_index++) {
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::mindspore::Tensor *node_outputs = proto->add_outputs();
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std::vector<size_t> output_shape = AnfAlgo::GetOutputDeviceShape(anf_node, output_index);
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mindspore::TensorShape *tensorShape = node_outputs->mutable_tensor_shape();
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for (auto item : output_shape) {
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mindspore::TensorShape_Dim *dim = tensorShape->add_dim();
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dim->set_size((::google::protobuf::int64)item);
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}
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TypeId output_type = AnfAlgo::GetOutputDeviceDataType(anf_node, output_index);
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int32_t output_data_type = AicpuOpUtil::MsTypeToProtoType(output_type);
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node_outputs->set_tensor_type((mindspore::DataType)output_data_type);
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node_outputs->set_mem_device("HBM");
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}
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}
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void SetNodedefProto(const std::shared_ptr<AnfNode> &anf_node, mindspore::NodeDef *proto) {
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MS_LOG(INFO) << "SetNodedefProto entry";
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MS_EXCEPTION_IF_NULL(anf_node);
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MS_EXCEPTION_IF_NULL(proto);
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std::string op_name = AnfAlgo::GetCNodeName(anf_node);
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if (op_name == "InitDataSetQueue") {
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op_name = "InitData";
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}
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// set op name
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proto->set_op(op_name);
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// set inputs tensor
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SetNodeInputs(anf_node, proto);
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// set outputs tensor
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SetNodeOutputs(anf_node, proto);
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// set node attr
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SetNodeAttr(anf_node, proto);
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MS_LOG(INFO) << "SetNodedefProto end!";
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}
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bool CreateNodeDefBytes(const std::shared_ptr<AnfNode> &anf_node,
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const std::shared_ptr<AicpuOpKernelMod> &kernel_mod_ptr) {
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MS_LOG(INFO) << "CreateNodeDefBytes entry";
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MS_EXCEPTION_IF_NULL(anf_node);
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MS_EXCEPTION_IF_NULL(kernel_mod_ptr);
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mindspore::NodeDef proto;
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SetNodedefProto(anf_node, &proto);
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std::string nodeDefStr;
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if (!proto.SerializeToString(&nodeDefStr)) {
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MS_LOG(ERROR) << "Serialize nodeDef to string failed.";
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return false;
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}
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kernel_mod_ptr->SetNodeDef(nodeDefStr);
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MS_LOG(INFO) << "CreateNodeDefBytes end!";
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return true;
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}
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KernelModPtr AicpuOpBuild(const std::shared_ptr<AnfNode> &anf_node) {
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MS_EXCEPTION_IF_NULL(anf_node);
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std::string op_name = AnfAlgo::GetCNodeName(anf_node);
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if (op_name == "InitDataSetQueue") {
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op_name = "InitData";
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}
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auto kernel_mod_ptr = std::make_shared<AicpuOpKernelMod>();
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MS_EXCEPTION_IF_NULL(kernel_mod_ptr);
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kernel_mod_ptr->SetAnfNode(anf_node);
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kernel_mod_ptr->SetNodeName(op_name);
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auto iter = std::find(local_framework_op_vec.begin(), local_framework_op_vec.end(), op_name);
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if (iter != local_framework_op_vec.end()) {
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if (!CreateNodeDefBytes(anf_node, kernel_mod_ptr)) {
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MS_LOG(EXCEPTION) << "Create nodeDefBytes faild!";
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}
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} else {
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MS_LOG(EXCEPTION) << "Aicpu don't support node [" << op_name << "]";
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}
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if (!SetIOSize(anf_node, kernel_mod_ptr)) {
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MS_LOG(EXCEPTION) << "Set input output size list failed.";
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}
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return kernel_mod_ptr;
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}
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} // namespace kernel
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} // namespace mindspore
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