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Diffstat (limited to 'runtimes/neurun/test/graph/operation/Insert.cc')
-rw-r--r-- | runtimes/neurun/test/graph/operation/Insert.cc | 166 |
1 files changed, 166 insertions, 0 deletions
diff --git a/runtimes/neurun/test/graph/operation/Insert.cc b/runtimes/neurun/test/graph/operation/Insert.cc new file mode 100644 index 000000000..dab89c2a6 --- /dev/null +++ b/runtimes/neurun/test/graph/operation/Insert.cc @@ -0,0 +1,166 @@ +/* + * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved + * + * 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 <gtest/gtest.h> + +#include "graph/Graph.h" +#include "graph/verifier/IVerifier.h" +#include "nnfw/std/memory.h" +#include "graph/operand/Index.h" +#include "MockNode.h" + +#include <typeindex> + +using IOIndex = neurun::graph::operand::IO::Index; +using Index = neurun::graph::operand::Index; +using IndexSet = neurun::graph::operand::IndexSet; +using MockNode = neurun_test::graph::operation::SimpleMockNode; + +TEST(graph_operation_manipulation, operation_insertion) +{ + neurun::graph::Graph graph; + neurun::graph::verifier::DAGChecker verifier; + + neurun::graph::operand::Shape shape{1u}; + neurun::graph::operand::TypeInfo type{ANEURALNETWORKS_TENSOR_INT32, 0, 0}; + shape.dim(0) = 3; + + // Model Input/Output + auto input_operand = graph.addOperand(shape, type); + auto output_operand = graph.addOperand(shape, type); + + graph.addInput(input_operand); + graph.operands().at(input_operand).setAsModelInput(); + graph.addOutput(output_operand); + graph.operands().at(output_operand).setAsOperationOutput(); + + // MockNode1 + auto operand1 = graph.addOperand(shape, type); + graph.operands().at(operand1).setAsOperationOutput(); + auto mocknode_index1 = + graph.addOperation(nnfw::make_unique<MockNode>(IndexSet{input_operand}, IndexSet{operand1})); + // MockNode2 + auto operand2 = graph.addOperand(shape, type); + graph.operands().at(operand2).setAsOperationOutput(); + auto mocknode_index2 = + graph.addOperation(nnfw::make_unique<MockNode>(IndexSet{operand1}, IndexSet{operand2})); + // MockNode3 + auto mocknode_index3 = + graph.addOperation(nnfw::make_unique<MockNode>(IndexSet{operand2}, IndexSet{output_operand})); + + graph.finishBuilding(); + + ASSERT_EQ(verifier.verify(graph), true); + + // Insert node1 (between 1 and 2) + auto inserted_operand1 = graph.addOperand(shape, type); + graph.operands().at(inserted_operand1).setAsOperationOutput(); + auto inserted_index1 = + graph.insertOperation(operand1, mocknode_index2, + nnfw::make_unique<MockNode>(IndexSet{}, IndexSet{inserted_operand1})); + + ASSERT_EQ(inserted_index1.asInt(), 3); + + // Insert node2 (between 2 and 3) + auto inserted_operand2 = graph.addOperand(shape, type); + graph.operands().at(inserted_operand2).setAsOperationOutput(); + auto inserted_index2 = + graph.insertOperation(operand2, mocknode_index3, + nnfw::make_unique<MockNode>(IndexSet{}, IndexSet{inserted_operand2})); + + ASSERT_EQ(inserted_index2.asInt(), 4); + + // Check tensor indexes + const auto &operations = graph.operations(); + ASSERT_EQ(operations.at(mocknode_index1).getOutputs().at(Index{0}), + operations.at(inserted_index1).getInputs().at(Index{0})); + ASSERT_EQ(operations.at(inserted_index1).getOutputs().at(Index{0}), + operations.at(mocknode_index2).getInputs().at(Index{0})); + ASSERT_EQ(operations.at(mocknode_index2).getOutputs().at(Index{0}), + operations.at(inserted_index2).getInputs().at(Index{0})); + ASSERT_EQ(operations.at(inserted_index2).getOutputs().at(Index{0}), + operations.at(mocknode_index3).getInputs().at(Index{0})); + + ASSERT_EQ(verifier.verify(graph), true); +} + +TEST(graph_operation_manipulation, operation_insertion_multi_input) +{ + neurun::graph::Graph graph; + neurun::graph::verifier::DAGChecker verifier; + + neurun::graph::operand::Shape shape{1u}; + neurun::graph::operand::TypeInfo type{ANEURALNETWORKS_TENSOR_INT32, 0, 0}; + shape.dim(0) = 3; + + // Model Input/Output + auto input_operand = graph.addOperand(shape, type); + auto output_operand = graph.addOperand(shape, type); + + graph.addInput(input_operand); + graph.operands().at(input_operand).setAsModelInput(); + graph.addOutput(output_operand); + graph.operands().at(output_operand).setAsOperationOutput(); + + // MockNode1 + auto operand1 = graph.addOperand(shape, type); + graph.operands().at(operand1).setAsOperationOutput(); + auto mocknode_index1 = + graph.addOperation(nnfw::make_unique<MockNode>(IndexSet{input_operand}, IndexSet{operand1})); + // MockNode2 + auto operand2 = graph.addOperand(shape, type); + graph.operands().at(operand2).setAsOperationOutput(); + auto mocknode_index2 = + graph.addOperation(nnfw::make_unique<MockNode>(IndexSet{input_operand}, IndexSet{operand2})); + // MultiInputMockNode + auto multiinput_index = graph.addOperation( + nnfw::make_unique<MockNode>(IndexSet{operand1, operand2}, IndexSet{output_operand})); + + graph.finishBuilding(); + + ASSERT_EQ(verifier.verify(graph), true); + + // Insert node1 (between 1 and multi) + auto inserted_operand1 = graph.addOperand(shape, type); + graph.operands().at(inserted_operand1).setAsOperationOutput(); + auto inserted_index1 = + graph.insertOperation(operand1, multiinput_index, + nnfw::make_unique<MockNode>(IndexSet{}, IndexSet{inserted_operand1})); + + ASSERT_EQ(inserted_index1.asInt(), 3); + + // Insert node2 (between 2 and multi) + auto inserted_operand2 = graph.addOperand(shape, type); + graph.operands().at(inserted_operand2).setAsOperationOutput(); + auto inserted_index2 = + graph.insertOperation(operand2, multiinput_index, + nnfw::make_unique<MockNode>(IndexSet{}, IndexSet{inserted_operand2})); + + ASSERT_EQ(inserted_index2.asInt(), 4); + + // Check tensor indexes + const auto &operations = graph.operations(); + ASSERT_EQ(operations.at(mocknode_index1).getOutputs().at(Index{0}), + operations.at(inserted_index1).getInputs().at(Index{0})); + ASSERT_EQ(operations.at(inserted_index1).getOutputs().at(Index{0}), + operations.at(multiinput_index).getInputs().at(Index{0})); + ASSERT_EQ(operations.at(mocknode_index2).getOutputs().at(Index{0}), + operations.at(inserted_index2).getInputs().at(Index{0})); + ASSERT_EQ(operations.at(inserted_index2).getOutputs().at(Index{0}), + operations.at(multiinput_index).getInputs().at(Index{1})); + + ASSERT_EQ(verifier.verify(graph), true); +} |