/** * Copyright 2019-2020 Huawei Technologies Co., Ltd * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include #include #include "common/ge_inner_error_codes.h" #include "common/types.h" #include "common/util.h" #include "graph/passes/graph_builder_utils.h" #include "graph/utils/attr_utils.h" #include "graph/debug/ge_attr_define.h" #define private public #define protected public #include "graph/preprocess/graph_preprocess.h" #include "ge/ge_api.h" #undef private #undef protected using namespace std; namespace ge { class UtestGraphPreproces : public testing::Test { protected: void SetUp() { } void TearDown() { } }; ComputeGraphPtr BuildGraph1(){ auto builder = ut::GraphBuilder("g1"); auto data1 = builder.AddNode("data1",DATA,1,1); auto data_opdesc = data1->GetOpDesc(); AttrUtils::SetInt(data_opdesc, ATTR_NAME_INDEX, 0); data1->UpdateOpDesc(data_opdesc); return builder.GetGraph(); } TEST_F(UtestGraphPreproces, test_dynamic_input_shape_parse) { ge::GraphPrepare graph_prepare; graph_prepare.compute_graph_ = BuildGraph1(); // prepare user_input & graph option ge::GeTensorDesc tensor1; tensor1.SetFormat(ge::FORMAT_NCHW); tensor1.SetShape(ge::GeShape({3, 12, 5, 5})); tensor1.SetDataType(ge::DT_FLOAT); GeTensor input1(tensor1); std::vector user_input = {input1}; std::map graph_option = {{"ge.exec.dynamicGraphExecuteMode","dynamic_execute"}, {"ge.exec.dataInputsShapeRange","[3,1~20,2~10,5]"}}; auto ret = graph_prepare.UpdateInput(user_input, graph_option); EXPECT_EQ(ret, ge::SUCCESS); // check data node output shape_range and shape auto data_node = graph_prepare.compute_graph_->FindNode("data1"); auto data_output_desc = data_node->GetOpDesc()->GetOutputDescPtr(0); vector expect_shape = {3,-1,-1,5}; auto result_shape = data_output_desc->GetShape(); EXPECT_EQ(result_shape.GetDimNum(), expect_shape.size()); for(size_t i =0; i< expect_shape.size(); ++i){ EXPECT_EQ(result_shape.GetDim(i), expect_shape.at(i)); } } }