forked from huawei/mindspore2022
64 lines
2.4 KiB
C++
64 lines
2.4 KiB
C++
/**
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* Copyright 2021 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 "backend/session/single_kernel_graph.h"
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#include <memory>
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#include <string>
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#include <vector>
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#include "backend/session/anf_runtime_algorithm.h"
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namespace mindspore {
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namespace session {
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std::shared_ptr<session::KernelGraph> SingleKernelGraph::ConstructKernelGraphBasedOnSingleOp(
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const std::string &op_name, const std::vector<TypeId> &input_dtypes, const std::vector<ShapeVector> &input_shapes,
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const std::vector<TypeId> &output_dtypes, const std::vector<std::vector<size_t>> &output_shapes) {
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auto graph = std::make_shared<session::KernelGraph>();
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std::vector<AnfNodePtr> inputs;
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// set input[0]
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PrimitivePtr op_prim = std::make_shared<Primitive>(op_name);
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MS_EXCEPTION_IF_NULL(op_prim);
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inputs.push_back(std::make_shared<ValueNode>(op_prim));
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// construct real input
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if (input_dtypes.size() != input_shapes.size()) {
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MS_LOG(EXCEPTION) << " input_dtypes size should equal to input_shapes size";
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}
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auto input_num = input_dtypes.size();
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for (size_t i = 0; i < input_num; ++i) {
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auto tensor = std::make_shared<tensor::Tensor>(input_dtypes[i], input_shapes[i]);
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auto value_node = graph->NewValueNode(tensor);
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inputs.push_back(value_node);
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}
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// obtain cnode
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auto cnode = graph->NewCNode(inputs);
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MS_EXCEPTION_IF_NULL(cnode);
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// get output dynamic shape info
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AnfAlgo::SetNodeAttr(kAttrOutputIsDynamicShape, MakeValue(false), cnode);
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if (output_dtypes.size() != output_shapes.size()) {
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MS_LOG(EXCEPTION) << " output_dtypes size should equal to output_shapes size";
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}
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AnfAlgo::SetOutputInferTypeAndShape(output_dtypes, output_shapes, cnode.get());
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// set execution order
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std::vector<CNodePtr> exe_order = {cnode};
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graph->set_execution_order(exe_order);
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// set graph output
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graph->set_output(cnode);
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graph->SetInputNodes();
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return graph;
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}
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} // namespace session
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} // namespace mindspore
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