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-rw-r--r--runtime/neurun/test/core/exec/interp/ExecManager.cc334
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diff --git a/runtime/neurun/test/core/exec/interp/ExecManager.cc b/runtime/neurun/test/core/exec/interp/ExecManager.cc
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--- a/runtime/neurun/test/core/exec/interp/ExecManager.cc
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@@ -1,334 +0,0 @@
-/*
- * Copyright (c) 2019 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 <cpp14/memory.h>
-
-#include "ir/Graph.h"
-#include "exec/interp/ExecManager.h"
-#include "exec/Execution.h"
-#include "ir/operation/Add.h"
-
-namespace
-{
-
-using namespace neurun::ir;
-using ExecManager = neurun::exec::interp::ExecManager;
-using Execution = neurun::exec::Execution;
-
-class InterpExecManagerTest : public ::testing::Test
-{
-protected:
- virtual void SetUp() {}
- void CreateSimpleModel()
- {
- // Model: one elementwise add operation
- // model input: lhs, rhs
- // model output: add result
- // lhs, rhs, result shape: {1, 2, 2, 1}
- // activation: none (constant)
- _graph = nnfw::cpp14::make_unique<Graph>();
-
- // Add operands
-
- Shape shape{1, 2, 2, 1};
- TypeInfo type{DataType::INT32};
- Shape shape_scalar(0);
- TypeInfo type_scalar{DataType::INT32};
-
- auto operand_lhs = _graph->addOperand(shape, type);
- auto operand_rhs = _graph->addOperand(shape, type);
- auto operand_result = _graph->addOperand(shape, type);
-
- // Add operations
-
- operation::Add::Param param;
- param.activation = Activation::NONE;
- auto input_set = OperandIndexSequence{operand_lhs, operand_rhs};
- auto output_set = OperandIndexSequence{operand_result};
- _graph->addOperation(nnfw::cpp14::make_unique<operation::Add>(input_set, output_set, param));
-
- // Identify model inputs and outputs
-
- _graph->getInputs().append(operand_lhs);
- _graph->getInputs().append(operand_rhs);
- _graph->getOutputs().append(operand_result);
-
- _graph->finishBuilding();
-
- _executor = nnfw::cpp14::make_unique<ExecManager>(*_graph);
- }
-
- void CreateTwoStepModel()
- {
- // Model: two elementwise add operation
- // model input: lhs, rhs1
- // model output: second add result (result2)
- // constant: rhs2
- // result1 <= (lhs + rhs)
- // result2 <= (result1 + rhs2)
- // lhs, rhs1, rh2, result1, result2 shape: {1, 2, 2, 1}
- // activation: none (constant)
- _graph = nnfw::cpp14::make_unique<Graph>();
-
- // 1st add operands (result1 <= lhs + rhs1)
-
- Shape shape{1, 2, 2, 1};
- TypeInfo type{DataType::INT32};
- Shape shape_scalar(0);
- TypeInfo type_scalar{DataType::INT32};
-
- static int32_t rhs2_data[4] = {3, 1, -1, 5};
-
- auto operand_lhs = _graph->addOperand(shape, type);
- auto operand_rhs1 = _graph->addOperand(shape, type);
- auto operand_result1 = _graph->addOperand(shape, type);
- auto operand_rhs2 = _graph->addOperand(shape, type);
- auto operand_result2 = _graph->addOperand(shape, type);
- _graph->operands()
- .at(operand_rhs2)
- .data(nnfw::cpp14::make_unique<CachedData>(reinterpret_cast<const uint8_t *>(&rhs2_data),
- 16));
-
- // 2nd add operations (result2 <= result1 + rhs2)
-
- operation::Add::Param param1;
- param1.activation = Activation::NONE;
- auto input_set1 = OperandIndexSequence{operand_lhs, operand_rhs1};
- auto output_set1 = OperandIndexSequence{operand_result1};
- _graph->addOperation(nnfw::cpp14::make_unique<operation::Add>(input_set1, output_set1, param1));
-
- operation::Add::Param param2;
- param2.activation = Activation::NONE;
- auto input_set2 = OperandIndexSequence{operand_result1, operand_rhs2};
- auto output_set2 = OperandIndexSequence{operand_result2};
- _graph->addOperation(nnfw::cpp14::make_unique<operation::Add>(input_set2, output_set2, param2));
-
- // Identify model inputs and outputs
-
- _graph->getInputs().append(operand_lhs);
- _graph->getInputs().append(operand_rhs1);
- _graph->getOutputs().append(operand_result2);
-
- _graph->finishBuilding();
-
- _executor = nnfw::cpp14::make_unique<ExecManager>(*_graph);
- }
-
- void CreateUnspecifiedDimensionsModel()
- {
- // Model: one elementwise add operation
- // model input: lhs, rhs
- // model output: add result
- // lhs, rhs, result shape: {1, unknown, 2, 1}
- // activation: none (constant)
- _graph = nnfw::cpp14::make_unique<Graph>();
-
- // Add operands
-
- Shape shape{1, 0, 2, 1};
- TypeInfo type{DataType::INT32};
- Shape shape_scalar(0);
- TypeInfo type_scalar{DataType::INT32};
-
- auto operand_lhs = _graph->addOperand(shape, type);
- auto operand_rhs = _graph->addOperand(shape, type);
-
- auto operand_activation = _graph->addOperand(shape_scalar, type_scalar);
- _graph->operands()
- .at(operand_activation)
- .data(nnfw::cpp14::make_unique<CachedData>(
- reinterpret_cast<const uint8_t *>(&_activation_value), 4));
-
- auto operand_result = _graph->addOperand(shape, type);
-
- // Add operations
-
- operation::Add::Param param;
- param.activation = Activation::NONE;
- auto input_set = OperandIndexSequence{operand_lhs, operand_rhs};
- auto output_set = OperandIndexSequence{operand_result};
- _graph->addOperation(nnfw::cpp14::make_unique<operation::Add>(input_set, output_set, param));
-
- // Identify model inputs and outputs
-
- _graph->getInputs().append(operand_lhs);
- _graph->getInputs().append(operand_rhs);
- _graph->getOutputs().append(operand_result);
-
- _graph->finishBuilding();
-
- _executor = nnfw::cpp14::make_unique<ExecManager>(*_graph);
- }
-
- void createExecution() { _execution = nnfw::cpp14::make_unique<Execution>(_executor); }
-
- virtual void TearDown() { _executor = nullptr; }
-
- std::unique_ptr<Graph> _graph{nullptr};
- std::shared_ptr<ExecManager> _executor{nullptr};
- std::unique_ptr<Execution> _execution{nullptr};
- const int32_t _activation_value{0};
-};
-
-TEST_F(InterpExecManagerTest, create_empty)
-{
- Graph graph;
- graph.finishBuilding();
- _executor = nnfw::cpp14::make_unique<ExecManager>(graph);
- ASSERT_NE(_executor, nullptr);
-}
-
-TEST_F(InterpExecManagerTest, create_simple)
-{
- CreateSimpleModel();
- ASSERT_NE(_executor, nullptr);
-}
-
-TEST_F(InterpExecManagerTest, setInput)
-{
- CreateSimpleModel();
- createExecution();
-
- auto input1 = IOIndex{0};
- const int32_t input1_buffer[4] = {1, 0, -1, -2};
-
- EXPECT_THROW(_execution->setInput(input1, reinterpret_cast<const void *>(input1_buffer), 4),
- std::runtime_error);
- EXPECT_THROW(_execution->setInput(input1, reinterpret_cast<const void *>(input1_buffer), 12),
- std::runtime_error);
- EXPECT_NO_THROW(_execution->setInput(input1, reinterpret_cast<const void *>(input1_buffer), 16));
-}
-
-TEST_F(InterpExecManagerTest, setOutput)
-{
- CreateSimpleModel();
- createExecution();
-
- auto output = IOIndex{0};
- auto output_idx = _graph->getOutputs().at(output);
-
- int32_t output_buffer[4] = {};
-
- EXPECT_THROW(_execution->setOutput(output, reinterpret_cast<void *>(output_buffer), 4),
- std::runtime_error);
- EXPECT_THROW(_execution->setOutput(output, reinterpret_cast<void *>(output_buffer), 12),
- std::runtime_error);
- EXPECT_NO_THROW(_execution->setOutput(output, reinterpret_cast<void *>(output_buffer), 16));
-}
-
-TEST_F(InterpExecManagerTest, setInputForUnspecifiedDimensions)
-{
- CreateUnspecifiedDimensionsModel();
- createExecution();
-
- auto input1 = IOIndex{0};
- const int32_t input1_buffer[4] = {1, 0, -1, -2};
-
- TypeInfo operand_type{DataType::INT32};
- Shape operand_shape{1, 2, 2, 1};
-
- EXPECT_THROW(_execution->setInput(input1, operand_type, operand_shape,
- reinterpret_cast<const void *>(input1_buffer), 4),
- std::runtime_error);
- EXPECT_THROW(_execution->setInput(input1, operand_type, operand_shape,
- reinterpret_cast<const void *>(input1_buffer), 12),
- std::runtime_error);
- EXPECT_NO_THROW(_execution->setInput(input1, operand_type, operand_shape,
- reinterpret_cast<const void *>(input1_buffer), 16));
-}
-
-TEST_F(InterpExecManagerTest, setOutputForUnspecifiedDimensions)
-{
- CreateUnspecifiedDimensionsModel();
- createExecution();
-
- auto output = IOIndex{0};
- auto output_idx = _graph->getOutputs().at(output);
-
- TypeInfo operand_type{DataType::INT32};
- Shape operand_shape{1, 2, 2, 1};
-
- int32_t output_buffer[4] = {};
-
- EXPECT_THROW(_execution->setOutput(output, operand_type, operand_shape,
- reinterpret_cast<void *>(output_buffer), 4),
- std::runtime_error);
- EXPECT_THROW(_execution->setOutput(output, operand_type, operand_shape,
- reinterpret_cast<void *>(output_buffer), 12),
- std::runtime_error);
- EXPECT_NO_THROW(_execution->setOutput(output, operand_type, operand_shape,
- reinterpret_cast<void *>(output_buffer), 16));
-}
-
-TEST_F(InterpExecManagerTest, execute)
-{
- CreateSimpleModel();
- createExecution();
-
- auto input1 = IOIndex{0};
- auto input2 = IOIndex{1};
- auto input1_idx = _graph->getInputs().at(input1);
- auto input2_idx = _graph->getInputs().at(input2);
-
- const int32_t input1_buffer[4] = {1, 0, -1, -2};
- const int32_t input2_buffer[4] = {1, -3, 2, -4};
-
- auto output = IOIndex{0};
- auto output_idx = _graph->getOutputs().at(output);
-
- int32_t output_buffer[4] = {};
-
- EXPECT_NO_THROW(_execution->setInput(input1, reinterpret_cast<const void *>(input1_buffer), 16));
- EXPECT_NO_THROW(_execution->setInput(input2, reinterpret_cast<const void *>(input2_buffer), 16));
- EXPECT_NO_THROW(_execution->setOutput(output, reinterpret_cast<void *>(output_buffer), 16));
- EXPECT_NO_THROW(_execution->execute());
- EXPECT_EQ(output_buffer[0], 2);
- EXPECT_EQ(output_buffer[1], -3);
- EXPECT_EQ(output_buffer[2], 1);
- EXPECT_EQ(output_buffer[3], -6);
-}
-
-TEST_F(InterpExecManagerTest, executeTwoStep)
-{
- CreateTwoStepModel();
- createExecution();
-
- auto input1 = IOIndex{0};
- auto input2 = IOIndex{1};
- auto input1_idx = _graph->getInputs().at(input1);
- auto input2_idx = _graph->getInputs().at(input2);
-
- const int32_t input1_buffer[4] = {1, 0, -1, -2};
- const int32_t input2_buffer[4] = {1, -3, 2, -4};
-
- auto output = IOIndex{0};
- auto output_idx = _graph->getOutputs().at(output);
-
- int32_t output_buffer[4] = {};
-
- EXPECT_NO_THROW(_execution->setInput(input1, reinterpret_cast<const void *>(input1_buffer), 16));
- EXPECT_NO_THROW(_execution->setInput(input2, reinterpret_cast<const void *>(input2_buffer), 16));
- EXPECT_NO_THROW(_execution->setOutput(output, reinterpret_cast<void *>(output_buffer), 16));
- EXPECT_NO_THROW(_execution->execute());
- EXPECT_EQ(output_buffer[0], 5);
- EXPECT_EQ(output_buffer[1], -2);
- EXPECT_EQ(output_buffer[2], 0);
- EXPECT_EQ(output_buffer[3], -1);
-}
-
-} // namespace
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