forked from mindspore-Ecosystem/mindspore
supplement onnx lstm,split,topk,constantOfShape parser
This commit is contained in:
parent
512a3e33b8
commit
a327f77782
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@ -129,9 +129,18 @@ STATUS TransOpInsertPass::ChangeOpAxis(schema::MetaGraphT *graph, const std::uni
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return RET_NULL_PTR;
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}
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auto type = node->primitive->value.type;
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if (graph->allTensors.at(node->inputIndex[0])->dims.size() != 4) {
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MS_LOG(ERROR) << "change op axis only support 4 dims";
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return RET_NOT_SUPPORT;
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auto input1_ndim = graph->allTensors.at(node->inputIndex[0])->dims.size();
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if (input1_ndim != 4) {
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if (node->inputIndex.size() > 1) {
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auto input2_ndim = graph->allTensors.at(node->inputIndex[1])->dims.size();
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if (input2_ndim != 4 && input2_ndim != 0) {
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MS_LOG(ERROR) << "change op axis only support 4 dims";
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return RET_NOT_SUPPORT;
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}
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} else {
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MS_LOG(ERROR) << "change op axis only support 4 dims";
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return RET_NOT_SUPPORT;
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}
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}
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if (type == PrimitiveType_Concat) {
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auto origin_axis = node->primitive->value.AsConcat()->axis;
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@ -0,0 +1,55 @@
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/**
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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 "tools/converter/parser/onnx/onnx_constant_of_shape_parser.h"
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#include <memory>
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namespace mindspore {
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namespace lite {
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STATUS OnnxConstantOfShapeParser::Parse(const onnx::GraphProto &onnx_graph, const onnx::NodeProto &onnx_node,
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schema::CNodeT *op) {
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MS_LOG(DEBUG) << "onnx ConstantOfShapeParser";
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if (op == nullptr) {
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MS_LOG(ERROR) << "op is null";
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return RET_NULL_PTR;
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}
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op->primitive = std::make_unique<schema::PrimitiveT>();
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if (op->primitive == nullptr) {
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MS_LOG(ERROR) << "op->primitive is null";
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return RET_NULL_PTR;
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}
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std::unique_ptr<schema::ConstantOfShapeT> attr = std::make_unique<schema::ConstantOfShapeT>();
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if (attr == nullptr) {
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MS_LOG(ERROR) << "new op failed";
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return RET_NULL_PTR;
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}
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for (const auto &onnx_node_attr : onnx_node.attribute()) {
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const auto &attribute_name = onnx_node_attr.name();
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if (attribute_name == "value") {
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attr->value = static_cast<int32_t>(onnx_node_attr.i());
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}
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}
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op->primitive->value.type = schema::PrimitiveType_ConstantOfShape;
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op->primitive->value.value = attr.release();
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return RET_OK;
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}
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OnnxNodeRegistrar g_onnxConstantOfShapeParser("ConstantOfShape", new OnnxConstantOfShapeParser());
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} // namespace lite
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} // namespace mindspore
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@ -0,0 +1,33 @@
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/**
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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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#ifndef MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_CONSTANT_OF_SHAPE_PARSER_H
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#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_CONSTANT_OF_SHAPE_PARSER_H
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#include "tools/converter/parser/onnx/onnx_node_parser.h"
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#include "tools/converter/parser/onnx/onnx_node_parser_registry.h"
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namespace mindspore {
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namespace lite {
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class OnnxConstantOfShapeParser : public OnnxNodeParser {
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public:
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OnnxConstantOfShapeParser() : OnnxNodeParser("ConstantOfShape") {}
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STATUS Parse(const onnx::GraphProto &onnx_graph, const onnx::NodeProto &onnx_node, schema::CNodeT *op) override;
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};
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} // namespace lite
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} // namespace mindspore
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#endif // MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_CONSTANT_OF_SHAPE_PARSER_H
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@ -0,0 +1,54 @@
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/**
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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 "tools/converter/parser/onnx/onnx_lstm_parser.h"
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#include <memory>
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namespace mindspore {
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namespace lite {
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STATUS OnnxLstmParser::Parse(const onnx::GraphProto &onnx_graph, const onnx::NodeProto &onnx_node, schema::CNodeT *op) {
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MS_LOG(DEBUG) << "onnx LstmParser";
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if (op == nullptr) {
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MS_LOG(ERROR) << "op is null";
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return RET_NULL_PTR;
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}
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op->primitive = std::make_unique<schema::PrimitiveT>();
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if (op->primitive == nullptr) {
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MS_LOG(ERROR) << "op->primitive is null";
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return RET_NULL_PTR;
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}
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std::unique_ptr<schema::LstmT> attr = std::make_unique<schema::LstmT>();
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if (attr == nullptr) {
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MS_LOG(ERROR) << "new op failed";
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return RET_NULL_PTR;
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}
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for (const auto &onnx_node_attr : onnx_node.attribute()) {
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if (onnx_node_attr.name() == "direction") {
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auto direction = onnx_node_attr.s();
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attr->bidirection = direction == "bidirectional";
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}
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}
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op->primitive->value.type = schema::PrimitiveType_Lstm;
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op->primitive->value.value = attr.release();
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return RET_OK;
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}
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OnnxNodeRegistrar g_onnxLstmParser("LSTM", new OnnxLstmParser());
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} // namespace lite
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} // namespace mindspore
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@ -0,0 +1,33 @@
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/**
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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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#ifndef MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_LSTM_PARSER_H
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#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_LSTM_PARSER_H
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#include "tools/converter/parser/onnx/onnx_node_parser.h"
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#include "tools/converter/parser/onnx/onnx_node_parser_registry.h"
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namespace mindspore {
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namespace lite {
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class OnnxLstmParser : public OnnxNodeParser {
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public:
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OnnxLstmParser() : OnnxNodeParser("LSTM") {}
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STATUS Parse(const onnx::GraphProto &onnx_graph, const onnx::NodeProto &onnx_node, schema::CNodeT *op) override;
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};
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} // namespace lite
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} // namespace mindspore
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#endif // MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_LSTM_PARSER_H
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@ -365,13 +365,15 @@ STATUS OnnxModelParser::ParseOnnxNodeAttr(const onnx::GraphProto &onnx_graph, co
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STATUS OnnxModelParser::SetOpInputIndex(const std::vector<string> &node_inputs, schema::CNodeT *dst_op,
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const onnx::NodeProto &onnx_node, TensorCache *tensor_cache) {
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for (const auto &onnx_node_input : node_inputs) {
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auto index = tensor_cache->FindTensor(onnx_node_input);
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if (index < 0) {
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MS_LOG(ERROR) << "input " << onnx_node_input << " of node " << onnx_node.name() << " can't be found";
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return RET_ERROR;
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if (onnx_node_input != "") {
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auto index = tensor_cache->FindTensor(onnx_node_input);
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if (index < 0) {
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MS_LOG(ERROR) << "input " << onnx_node_input << " of node " << onnx_node.name() << " can't be found";
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return RET_ERROR;
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}
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MS_LOG(DEBUG) << "node: " << onnx_node_input << ", input index: " << index;
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dst_op->inputIndex.emplace_back(index);
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}
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MS_LOG(DEBUG) << "node: " << onnx_node_input << ", input index: " << index;
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dst_op->inputIndex.emplace_back(index);
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}
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return RET_OK;
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}
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@ -0,0 +1,60 @@
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/**
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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 "tools/converter/parser/onnx/onnx_split_parser.h"
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#include <memory>
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namespace mindspore {
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namespace lite {
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STATUS OnnxSplitParser::Parse(const onnx::GraphProto &onnx_graph, const onnx::NodeProto &onnx_node,
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schema::CNodeT *op) {
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MS_LOG(DEBUG) << "onnx SplitParser";
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if (op == nullptr) {
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MS_LOG(ERROR) << "op is null";
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return RET_NULL_PTR;
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}
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op->primitive = std::make_unique<schema::PrimitiveT>();
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if (op->primitive == nullptr) {
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MS_LOG(ERROR) << "op->primitive is null";
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return RET_NULL_PTR;
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}
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std::unique_ptr<schema::SplitT> attr = std::make_unique<schema::SplitT>();
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if (attr == nullptr) {
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MS_LOG(ERROR) << "new op failed";
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return RET_NULL_PTR;
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}
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for (const auto &onnx_node_attr : onnx_node.attribute()) {
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const auto &attribute_name = onnx_node_attr.name();
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if (attribute_name == "axis") {
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attr->splitDim = static_cast<int32_t>(onnx_node_attr.i());
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} else if (attribute_name == "split") {
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for (auto sizeSplit : onnx_node_attr.ints()) {
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attr->sizeSplits.emplace_back(sizeSplit);
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}
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attr->numberSplit = onnx_node_attr.ints_size();
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}
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}
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op->primitive->value.type = schema::PrimitiveType_Split;
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op->primitive->value.value = attr.release();
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return RET_OK;
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}
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OnnxNodeRegistrar g_onnxSplitParser("Split", new OnnxSplitParser());
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} // namespace lite
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} // namespace mindspore
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@ -0,0 +1,33 @@
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/**
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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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#ifndef MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_SPLIT_PARSER_H
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#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_SPLIT_PARSER_H
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#include "tools/converter/parser/onnx/onnx_node_parser.h"
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#include "tools/converter/parser/onnx/onnx_node_parser_registry.h"
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namespace mindspore {
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namespace lite {
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class OnnxSplitParser : public OnnxNodeParser {
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public:
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OnnxSplitParser() : OnnxNodeParser("Split") {}
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STATUS Parse(const onnx::GraphProto &onnx_graph, const onnx::NodeProto &onnx_node, schema::CNodeT *op) override;
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};
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} // namespace lite
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} // namespace mindspore
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#endif // MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_SPLIT_PARSER_H
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/**
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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 "tools/converter/parser/onnx/onnx_topk_parser.h"
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#include <memory>
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namespace mindspore {
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namespace lite {
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STATUS OnnxTopkParser::Parse(const onnx::GraphProto &onnx_graph, const onnx::NodeProto &onnx_node, schema::CNodeT *op) {
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MS_LOG(DEBUG) << "onnx TopKParser";
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if (op == nullptr) {
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MS_LOG(ERROR) << "op is null";
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return RET_NULL_PTR;
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}
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op->primitive = std::make_unique<schema::PrimitiveT>();
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if (op->primitive == nullptr) {
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MS_LOG(ERROR) << "op->primitive is null";
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return RET_NULL_PTR;
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}
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std::unique_ptr<schema::TopKT> attr = std::make_unique<schema::TopKT>();
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if (attr == nullptr) {
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MS_LOG(ERROR) << "new op failed";
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return RET_NULL_PTR;
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}
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for (const auto &onnx_node_attr : onnx_node.attribute()) {
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const auto &attribute_name = onnx_node_attr.name();
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if (attribute_name == "k") {
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attr->k = static_cast<int32_t>(onnx_node_attr.i());
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}
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}
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// attr->sorted;
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op->primitive->value.type = schema::PrimitiveType_TopK;
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op->primitive->value.value = attr.release();
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return RET_OK;
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}
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OnnxNodeRegistrar g_onnxTopkParser("TopK", new OnnxTopkParser());
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} // namespace lite
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} // namespace mindspore
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/**
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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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#ifndef MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_TOPK_PARSER_H
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#define MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_TOPK_PARSER_H
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#include "tools/converter/parser/onnx/onnx_node_parser.h"
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#include "tools/converter/parser/onnx/onnx_node_parser_registry.h"
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namespace mindspore {
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namespace lite {
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class OnnxTopkParser : public OnnxNodeParser {
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public:
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OnnxTopkParser() : OnnxNodeParser("TopK") {}
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STATUS Parse(const onnx::GraphProto &onnx_graph, const onnx::NodeProto &onnx_node, schema::CNodeT *op) override;
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};
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} // namespace lite
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} // namespace mindspore
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#endif // MINDSPORE_LITE_TOOLS_CONVERTER_PARSER_ONNX_TOPK_PARSER_H
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