From 25f30782c7d9d4b732bd6c40b9e6df9aa3da1aff Mon Sep 17 00:00:00 2001 From: Artem Balyshev Date: Tue, 18 Jun 2024 17:33:44 +0300 Subject: [PATCH 1/2] [onert-micro] Add training unit tests. This pr introduces first training unit tests - BostonHousing dataset. ONE-DCO-1.0-Signed-off-by: Artem Balyshev --- .../include/train/tests/OMTestTrainBase.h | 63 + .../include/train/tests/OMTestUtils.h | 130 ++ .../boston_housing_task/BostonHousingTask.h | 119 ++ .../boston_housing_task/data/test_input.h | 371 +++++ .../boston_housing_task/data/test_target.h | 65 + .../boston_housing_task/data/train_input.h | 1352 +++++++++++++++++ .../boston_housing_task/data/train_target.h | 140 ++ .../train/tests/models/boston_housing.h | 212 +++ .../onert-micro/src/train/CMakeLists.txt | 56 + .../train/tests/BostonHousingTask.test.cpp | 145 ++ 10 files changed, 2653 insertions(+) create mode 100644 onert-micro/onert-micro/include/train/tests/OMTestTrainBase.h create mode 100644 onert-micro/onert-micro/include/train/tests/OMTestUtils.h create mode 100644 onert-micro/onert-micro/include/train/tests/boston_housing_task/BostonHousingTask.h create mode 100644 onert-micro/onert-micro/include/train/tests/boston_housing_task/data/test_input.h create mode 100644 onert-micro/onert-micro/include/train/tests/boston_housing_task/data/test_target.h create mode 100644 onert-micro/onert-micro/include/train/tests/boston_housing_task/data/train_input.h create mode 100644 onert-micro/onert-micro/include/train/tests/boston_housing_task/data/train_target.h create mode 100644 onert-micro/onert-micro/include/train/tests/models/boston_housing.h create mode 100644 onert-micro/onert-micro/src/train/CMakeLists.txt create mode 100644 onert-micro/onert-micro/src/train/tests/BostonHousingTask.test.cpp diff --git a/onert-micro/onert-micro/include/train/tests/OMTestTrainBase.h b/onert-micro/onert-micro/include/train/tests/OMTestTrainBase.h new file mode 100644 index 00000000000..f16ea160d16 --- /dev/null +++ b/onert-micro/onert-micro/include/train/tests/OMTestTrainBase.h @@ -0,0 +1,63 @@ +/* + * Copyright (c) 2024 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. + */ + +#ifndef ONERT_MICRO_TRAIN_TESTS_TEST_TRAIN_BASE_H +#define ONERT_MICRO_TRAIN_TESTS_TEST_TRAIN_BASE_H + +#include + +namespace onert_micro +{ +namespace train +{ +namespace test +{ + +template class OMTestTrainBase +{ +public: + virtual ~OMTestTrainBase() = default; + + // Get ptr to trained model + virtual char *getModelPtr() = 0; + + // Return model size + virtual size_t getModelSize() = 0; + + // Return num train samples + virtual size_t getTrainNumSamples() = 0; + + // Return num test samples + virtual size_t getTestNumSamples() = 0; + + // Read train input data with cur size and cur offset + virtual std::vector readTrainInputData(size_t size, size_t offset) = 0; + + // Read train target data with cur size and cur offset + virtual std::vector readTrainTargetData(size_t size, size_t offset) = 0; + + // Read test input data with cur size and cur offset + virtual std::vector readTestInputData(size_t size, size_t offset) = 0; + + // Read test target data with cur size and cur offset + virtual std::vector readTestTargetData(size_t size, size_t offset) = 0; +}; + +} // namespace test +} // namespace train +} // namespace onert_micro + +#endif // ONERT_MICRO_TRAIN_TESTS_TEST_TRAIN_BASE_H diff --git a/onert-micro/onert-micro/include/train/tests/OMTestUtils.h b/onert-micro/onert-micro/include/train/tests/OMTestUtils.h new file mode 100644 index 00000000000..f92f600835c --- /dev/null +++ b/onert-micro/onert-micro/include/train/tests/OMTestUtils.h @@ -0,0 +1,130 @@ +/* + * Copyright (c) 2024 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. + */ + +#ifndef ONERT_MICRO_TRAIN_TESTS_TEST_UTILS_H +#define ONERT_MICRO_TRAIN_TESTS_TEST_UTILS_H + +#include "OMTrainingInterpreter.h" +#include "train/tests/OMTestTrainBase.h" + +#include +#include + +namespace onert_micro +{ +namespace train +{ +namespace test +{ + +// Train training_interpreter using config params and OMTestTrainBase to obtain data +template +OMStatus train(OMTrainingInterpreter &train_interpreter, OMConfig &config, + OMTestTrainBase &test_base) +{ + OMStatus status = Ok; + const uint32_t training_epochs = config.training_context.epochs; + const uint32_t num_train_data_samples = test_base.getTrainNumSamples(); + const uint32_t batch_size = config.training_context.batch_size; + const uint32_t input_size = train_interpreter.getInputSizeAt(0); + const uint32_t target_size = train_interpreter.getOutputSizeAt(0); + for (uint32_t e = 0; e < training_epochs; ++e) + { + config.training_context.num_epoch = e + 1; + uint32_t num_steps = num_train_data_samples / batch_size; + for (int i = 0; i < num_steps; ++i) + { + // Set batch size + uint32_t cur_batch_size = std::min(batch_size, num_train_data_samples - batch_size * i - 1); + cur_batch_size = std::max(1u, cur_batch_size); + + config.training_context.batch_size = cur_batch_size; + + // Read current input and target data + const uint32_t cur_input_size = sizeof(T) * input_size * cur_batch_size; + const uint32_t cur_target_size = sizeof(U) * target_size * cur_batch_size; + const uint32_t cur_input_offset = sizeof(T) * input_size * i * batch_size; + const uint32_t cur_target_offset = sizeof(U) * target_size * i * batch_size; + + // Read input and target + std::vector input_data = test_base.readTrainInputData(cur_input_size, cur_input_offset); + std::vector target_data = + test_base.readTrainTargetData(cur_target_size, cur_target_offset); + + // Set input and target + train_interpreter.setInput(reinterpret_cast(input_data.data()), 0); + train_interpreter.setTarget(reinterpret_cast(target_data.data()), 0); + + // Train with current batch size + status = train_interpreter.trainSingleStep(config); + assert(status == Ok); + if (status != Ok) + return status; + } + } + + return status; +} + +// Evaluate trained model using metric and save result in metric_res +template +OMStatus evaluate(OMTrainingInterpreter &train_interpreter, OMConfig &config, + OMTestTrainBase &test_base, OMMetrics metric, U *metric_res) +{ + OMStatus status = Ok; + + // To store all calculated metrics values + std::vector result_v; + + const uint32_t num_test_data_samples = test_base.getTestNumSamples(); + const uint32_t batch_size = 1; + const uint32_t input_size = train_interpreter.getInputSizeAt(0); + const uint32_t target_size = train_interpreter.getOutputSizeAt(0); + for (int i = 0; i < num_test_data_samples; ++i) + { + // Read current input and target data + const uint32_t cur_input_size = sizeof(T) * input_size; + const uint32_t cur_target_size = sizeof(U) * target_size; + const uint32_t cur_input_offset = sizeof(T) * input_size * i; + const uint32_t cur_target_offset = sizeof(U) * target_size * i; + + // Read input and target + std::vector input_data = test_base.readTestInputData(cur_input_size, cur_input_offset); + std::vector target_data = test_base.readTestTargetData(cur_target_size, cur_target_offset); + + // Set input and target + train_interpreter.setInput(reinterpret_cast(input_data.data()), 0); + train_interpreter.setTarget(reinterpret_cast(target_data.data()), 0); + + U result = U(0); + + status = + train_interpreter.evaluateMetric(metric, reinterpret_cast(&result), batch_size); + assert(status == Ok); + result_v.push_back(result); + } + // Calculate and save average values + *metric_res = + static_cast(std::accumulate(result_v.begin(), result_v.end(), U(0)) / result_v.size()); + + return status; +} + +} // namespace test +} // namespace train +} // namespace onert_micro + +#endif // ONERT_MICRO_TRAIN_TESTS_TEST_UTILS_H diff --git a/onert-micro/onert-micro/include/train/tests/boston_housing_task/BostonHousingTask.h b/onert-micro/onert-micro/include/train/tests/boston_housing_task/BostonHousingTask.h new file mode 100644 index 00000000000..3cfc126407f --- /dev/null +++ b/onert-micro/onert-micro/include/train/tests/boston_housing_task/BostonHousingTask.h @@ -0,0 +1,119 @@ +/* + * Copyright (c) 2024 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. + */ + +#ifndef ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_H +#define ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_H + +#include "train/tests/OMTestTrainBase.h" +#include "train/tests/models/boston_housing.h" +#include "train/tests/boston_housing_task/data/test_target.h" +#include "train/tests/boston_housing_task/data/test_input.h" +#include "train/tests/boston_housing_task/data/train_target.h" +#include "train/tests/boston_housing_task/data/train_input.h" + +#include +#include + +namespace onert_micro +{ +namespace train +{ +namespace test +{ + +namespace +{ + +const size_t NUM_TRAIN_SAMPLES = 404; +const size_t NUM_TEST_SAMPLES = 102; + +} // namespace + +template class BostonHousingTask : public OMTestTrainBase +{ +public: + BostonHousingTask() + { + // Set model + _train_model_ptr.resize(models::boston_housing_model_size); + std::memcpy(_train_model_ptr.data(), models::boston_housing_model, + models::boston_housing_model_size); + } + + // Get ptr to trained model + char *getModelPtr() final { return _train_model_ptr.data(); } + + // Return model size + size_t getModelSize() final { return _train_model_ptr.size(); } + + // Return num train samples + size_t getTrainNumSamples() final { return NUM_TRAIN_SAMPLES; }; + + // Return num test samples + size_t getTestNumSamples() final { return NUM_TEST_SAMPLES; } + + // Read train input data with cur size and cur offset + std::vector readTrainInputData(size_t size, size_t offset) final + { + std::vector result(size); + + auto *cur_ptr = data::train_input + offset; + + std::memcpy(result.data(), cur_ptr, size); + return result; + } + // Read train target data with cur size and cur offset + std::vector readTrainTargetData(size_t size, size_t offset) final + { + std::vector result(size); + + auto *cur_ptr = data::train_target + offset; + + std::memcpy(result.data(), cur_ptr, size); + return result; + } + + // Read test input data with cur size and cur offset + std::vector readTestInputData(size_t size, size_t offset) final + { + std::vector result(size); + + auto *cur_ptr = data::test_input + offset; + + std::memcpy(result.data(), cur_ptr, size); + return result; + } + + // Read test target data with cur size and cur offset + std::vector readTestTargetData(size_t size, size_t offset) final + { + std::vector result(size); + + auto *cur_ptr = data::test_target + offset; + + std::memcpy(result.data(), cur_ptr, size); + return result; + } + +private: + std::vector _train_model_ptr = {}; +}; + +} // namespace test +} // namespace train +} // namespace onert_micro + +#endif // ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_H diff --git a/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/test_input.h b/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/test_input.h new file mode 100644 index 00000000000..58d54ecc721 --- /dev/null +++ b/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/test_input.h @@ -0,0 +1,371 @@ +/* + * Copyright (c) 2024 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. + */ + +#ifndef ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_DATA_TEST_INPUT_H +#define ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_DATA_TEST_INPUT_H + +#include +#include + +namespace onert_micro +{ +namespace train +{ +namespace test +{ +namespace data +{ + +unsigned char test_input[] = { + 0x43, 0xad, 0x90, 0x41, 0x00, 0x00, 0x00, 0x00, 0xcd, 0xcc, 0x90, 0x41, 0x00, 0x00, 0x00, 0x00, + 0xf2, 0xd2, 0x2d, 0x3f, 0x54, 0xe3, 0xcd, 0x40, 0x00, 0x00, 0xc8, 0x42, 0x73, 0xd7, 0xea, 0x3f, + 0x00, 0x00, 0xc0, 0x41, 0x00, 0x80, 0x26, 0x44, 0x9a, 0x99, 0xa1, 0x41, 0x00, 0x00, 0xda, 0x41, + 0x66, 0x66, 0xe8, 0x41, 0x78, 0x7f, 0xfc, 0x3d, 0x00, 0x00, 0x00, 0x00, 0xf6, 0x28, 0x20, 0x41, + 0x00, 0x00, 0x00, 0x00, 0x31, 0x08, 0x0c, 0x3f, 0x4c, 0x37, 0xbd, 0x40, 0xcd, 0xcc, 0xb9, 0x42, + 0x1b, 0x9e, 0x16, 0x40, 0x00, 0x00, 0xc0, 0x40, 0x00, 0x00, 0xd8, 0x43, 0x66, 0x66, 0x8e, 0x41, + 0x9a, 0x79, 0xc5, 0x43, 0x14, 0xae, 0x81, 0x41, 0x39, 0x28, 0x61, 0x3d, 0x00, 0x00, 0x00, 0x00, + 0x7b, 0x14, 0xa6, 0x40, 0x00, 0x00, 0x00, 0x00, 0x0a, 0xd7, 0x03, 0x3f, 0x1f, 0x85, 0xbf, 0x40, + 0x9a, 0x99, 0x35, 0x42, 0x8b, 0xfd, 0x99, 0x40, 0x00, 0x00, 0xa0, 0x40, 0x00, 0x00, 0x60, 0x43, + 0x9a, 0x99, 0xa1, 0x41, 0x33, 0x73, 0xc6, 0x43, 0x0a, 0xd7, 0x1b, 0x41, 0xbd, 0x00, 0xa3, 0x3f, + 0x00, 0x00, 0x00, 0x00, 0xd7, 0xa3, 0x9c, 0x41, 0x00, 0x00, 0x80, 0x3f, 0x48, 0xe1, 0x1a, 0x3f, + 0x00, 0x00, 0xc8, 0x40, 0x33, 0x33, 0xb9, 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0xcd, 0xf3, 0x3f, 0x00, 0x00, 0xc0, 0x41, 0x00, 0x80, 0x26, 0x44, 0x9a, 0x99, 0xa1, 0x41, + 0x66, 0x46, 0xb1, 0x43, 0xae, 0x47, 0xa9, 0x40, 0xc8, 0xb5, 0xa1, 0x3d, 0x00, 0x00, 0x00, 0x00, + 0xae, 0x47, 0x4d, 0x41, 0x00, 0x00, 0x00, 0x00, 0x77, 0xbe, 0xdf, 0x3e, 0x6a, 0xbc, 0xc8, 0x40, + 0x00, 0x00, 0xc0, 0x40, 0x4a, 0x0c, 0x88, 0x40, 0x00, 0x00, 0xa0, 0x40, 0x00, 0x00, 0xc7, 0x43, + 0x9a, 0x99, 0x95, 0x41, 0xc3, 0x75, 0xc5, 0x43, 0xc3, 0xf5, 0xd8, 0x40, 0xfa, 0xb8, 0xea, 0x3f, + 0x00, 0x00, 0x00, 0x00, 0xd7, 0xa3, 0x9c, 0x41, 0x00, 0x00, 0x80, 0x3f, 0x48, 0xe1, 0x1a, 0x3f, + 0xfc, 0xa9, 0xf9, 0x40, 0x66, 0x66, 0xc4, 0x42, 0xd4, 0x9a, 0x02, 0x40, 0x00, 0x00, 0xa0, 0x40, + 0x00, 0x80, 0xc9, 0x43, 0x33, 0x33, 0x6b, 0x41, 0x14, 0xce, 0xc2, 0x43, 0x8f, 0xc2, 0xf5, 0x3f, + 0x93, 0x57, 0xb7, 0x3e, 0x00, 0x00, 0x00, 0x00, 0x66, 0x66, 0xc6, 0x40, 0x00, 0x00, 0x80, 0x3f, + 0xc1, 0xca, 0x01, 0x3f, 0x98, 0x6e, 0xde, 0x40, 0x00, 0x00, 0xb1, 0x42, 0x18, 0x26, 0x37, 0x40, + 0x00, 0x00, 0x00, 0x41, 0x00, 0x80, 0x99, 0x43, 0x33, 0x33, 0x8b, 0x41, 0x9a, 0xd9, 0xc3, 0x43, + 0x29, 0x5c, 0x1b, 0x41, 0xd1, 0x22, 0x3b, 0x40, 0x00, 0x00, 0x00, 0x00, 0xd7, 0xa3, 0x9c, 0x41, + 0x00, 0x00, 0x00, 0x00, 0x48, 0xe1, 0x1a, 0x3f, 0x64, 0x3b, 0xc3, 0x40, 0x00, 0x00, 0xba, 0x42, + 0x3a, 0x23, 0x12, 0x40, 0x00, 0x00, 0xa0, 0x40, 0x00, 0x80, 0xc9, 0x43, 0x33, 0x33, 0x6b, 0x41, + 0xf6, 0x28, 0x70, 0x43, 0xc3, 0xf5, 0x1c, 0x41}; + +} // namespace data +} // namespace test +} // namespace train +} // namespace onert_micro + +#endif // ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_DATA_TEST_INPUT_H diff --git a/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/test_target.h b/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/test_target.h new file mode 100644 index 00000000000..8b7633c0a94 --- /dev/null +++ b/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/test_target.h @@ -0,0 +1,65 @@ +/* + * Copyright (c) 2024 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. + */ + +#ifndef ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_DATA_TEST_TARGET_H +#define ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_DATA_TEST_TARGET_H + +#include +#include + +namespace onert_micro +{ +namespace train +{ +namespace test +{ +namespace data +{ + +unsigned char test_target[] = { + 0x66, 0x66, 0xe6, 0x40, 0x66, 0x66, 0x96, 0x41, 0x00, 0x00, 0x98, 0x41, 0x00, 0x00, 0xd8, 0x41, + 0x9a, 0x99, 0xb1, 0x41, 0x00, 0x00, 0xc4, 0x41, 0x9a, 0x99, 0xf9, 0x41, 0x33, 0x33, 0xb7, 0x41, + 0x00, 0x00, 0xa4, 0x41, 0x9a, 0x99, 0xb9, 0x41, 0xcd, 0xcc, 0x94, 0x41, 0x00, 0x00, 0x68, 0x41, + 0x66, 0x66, 0x8e, 0x41, 0x00, 0x00, 0x48, 0x42, 0x66, 0x66, 0xa6, 0x41, 0x66, 0x66, 0xc2, 0x41, + 0x9a, 0x99, 0xc1, 0x41, 0x66, 0x66, 0x9e, 0x41, 0xcd, 0xcc, 0x98, 0x41, 0x9a, 0x99, 0xb5, 0x41, + 0x00, 0x00, 0x40, 0x41, 0x33, 0x33, 0x23, 0x41, 0x00, 0x00, 0xa0, 0x41, 0x00, 0x00, 0x94, 0x41, + 0x33, 0x33, 0xa7, 0x41, 0x00, 0x00, 0xb8, 0x41, 0x00, 0x00, 0xdc, 0x41, 0xcd, 0xcc, 0xf0, 0x41, + 0x00, 0x00, 0x18, 0x41, 0x00, 0x00, 0xb0, 0x41, 0x9a, 0x99, 0xa9, 0x41, 0x9a, 0x99, 0x61, 0x41, + 0x66, 0x66, 0x04, 0x42, 0x33, 0x33, 0xbb, 0x41, 0xcd, 0xcc, 0xa0, 0x41, 0xcd, 0xcc, 0xec, 0x40, + 0x66, 0x66, 0x76, 0x41, 0x66, 0x66, 0xbe, 0x41, 0xcd, 0xcc, 0xa0, 0x41, 0x00, 0x00, 0xc4, 0x41, + 0x00, 0x00, 0x04, 0x42, 0x33, 0x33, 0xe3, 0x41, 0x9a, 0x99, 0x61, 0x41, 0xcd, 0xcc, 0x3a, 0x42, + 0x00, 0x00, 0x02, 0x42, 0xcd, 0xcc, 0xec, 0x41, 0x33, 0x33, 0xe3, 0x41, 0x66, 0x66, 0x9e, 0x41, + 0x9a, 0x99, 0xa1, 0x41, 0x00, 0x00, 0xc8, 0x41, 0x9a, 0x99, 0x0d, 0x42, 0x66, 0x66, 0xa2, 0x41, + 0x33, 0x33, 0x1b, 0x41, 0x00, 0x00, 0x68, 0x41, 0x9a, 0x99, 0x0b, 0x42, 0xcd, 0xcc, 0xd4, 0x41, + 0x66, 0x66, 0xe6, 0x40, 0x00, 0x00, 0x48, 0x42, 0x9a, 0x99, 0x01, 0x42, 0xcd, 0xcc, 0xac, 0x41, + 0x66, 0x66, 0xee, 0x41, 0x9a, 0x99, 0x51, 0x41, 0x00, 0x00, 0xdc, 0x41, 0x9a, 0x99, 0xa9, 0x41, + 0xcd, 0xcc, 0xb8, 0x41, 0x33, 0x33, 0xaf, 0x41, 0x00, 0x00, 0x50, 0x41, 0x9a, 0x99, 0xb9, 0x41, + 0x9a, 0x99, 0x01, 0x41, 0x33, 0x33, 0xb3, 0x40, 0x9a, 0x99, 0xad, 0x41, 0xcd, 0xcc, 0xec, 0x41, + 0xcd, 0xcc, 0x9c, 0x41, 0x00, 0x00, 0xe0, 0x40, 0x33, 0x33, 0xd3, 0x41, 0x33, 0x33, 0x97, 0x41, + 0x33, 0x33, 0xa7, 0x41, 0xcd, 0xcc, 0xe0, 0x41, 0x9a, 0x99, 0x0d, 0x42, 0x33, 0x33, 0x23, 0x41, + 0x66, 0x66, 0xc2, 0x41, 0x66, 0x66, 0x2c, 0x42, 0xcd, 0xcc, 0x8c, 0x41, 0x66, 0x66, 0x76, 0x41, + 0x9a, 0x99, 0x81, 0x41, 0xcd, 0xcc, 0xd8, 0x41, 0x33, 0x33, 0xab, 0x41, 0x00, 0x00, 0xac, 0x41, + 0x33, 0x33, 0xb3, 0x41, 0x00, 0x00, 0xc8, 0x41, 0xcd, 0xcc, 0x84, 0x41, 0xcd, 0xcc, 0x94, 0x41, + 0x00, 0x00, 0xb0, 0x41, 0x33, 0x33, 0x2b, 0x42, 0x66, 0x66, 0x0c, 0x42, 0x00, 0x00, 0xac, 0x41, + 0x00, 0x00, 0x10, 0x42, 0x33, 0x33, 0xaf, 0x41, 0xcd, 0xcc, 0xc0, 0x41, 0x00, 0x00, 0x48, 0x42, + 0x9a, 0x99, 0xd5, 0x41, 0x00, 0x00, 0xc8, 0x41}; + +} // namespace data +} // namespace test +} // namespace train +} // namespace onert_micro + +#endif // ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_DATA_TEST_TARGET_H diff --git a/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/train_input.h b/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/train_input.h new file mode 100644 index 00000000000..cdc89197610 --- /dev/null +++ b/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/train_input.h @@ -0,0 +1,1352 @@ +/* + * Copyright (c) 2024 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. + */ + +#ifndef ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_DATA_TRAIN_INPUT_H +#define ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_DATA_TRAIN_INPUT_H + +#include +#include + +namespace onert_micro +{ +namespace train +{ +namespace test +{ +namespace data +{ + +unsigned char train_input[] = { + 0x62, 0xbe, 0x90, 0x3f, 0x00, 0x00, 0x00, 0x00, 0x71, 0x3d, 0x02, 0x41, 0x00, 0x00, 0x00, 0x00, + 0x5e, 0xba, 0x09, 0x3f, 0xe5, 0xd0, 0xb6, 0x40, 0x33, 0x33, 0xbc, 0x42, 0xbc, 0x74, 0x87, 0x40, + 0x00, 0x00, 0x80, 0x40, 0x00, 0x80, 0x99, 0x43, 0x00, 0x00, 0xa8, 0x41, 0xc3, 0x15, 0xb4, 0x43, + 0xcd, 0xcc, 0xb4, 0x41, 0x80, 0x2b, 0x59, 0x3d, 0x00, 0x00, 0x00, 0x00, 0x71, 0x3d, 0x5a, 0x40, + 0x00, 0x00, 0x00, 0x00, 0x35, 0x5e, 0xfa, 0x3e, 0x2b, 0x87, 0xe2, 0x40, 0x66, 0x66, 0x7c, 0x42, + 0x2b, 0x87, 0x5a, 0x40, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x87, 0x43, 0x66, 0x66, 0x8e, 0x41, + 0xae, 0x07, 0xc6, 0x43, 0x66, 0x66, 0xb6, 0x40, 0x99, 0x64, 0xb4, 0x3e, 0x00, 0x00, 0x00, 0x00, + 0xb8, 0x1e, 0xaf, 0x41, 0x00, 0x00, 0x00, 0x00, 0x77, 0xbe, 0x1f, 0x3f, 0x2b, 0x87, 0xce, 0x40, + 0xcd, 0xcc, 0xc4, 0x42, 0x3f, 0xc6, 0xec, 0x3f, 0x00, 0x00, 0x80, 0x40, 0x00, 0x80, 0xda, 0x43, + 0x9a, 0x99, 0xa9, 0x41, 0x3d, 0x0a, 0xc5, 0x43, 0xa4, 0x70, 0x69, 0x41, 0x35, 0x5e, 0x0a, 0x3f, + 0x00, 0x00, 0xa0, 0x41, 0x7b, 0x14, 0x7e, 0x40, 0x00, 0x00, 0x00, 0x00, 0x33, 0x33, 0x13, 0x3f, + 0x3d, 0x0a, 0xef, 0x40, 0x66, 0x66, 0x52, 0x42, 0xd9, 0xce, 0x37, 0x40, 0x00, 0x00, 0xa0, 0x40, + 0x00, 0x00, 0x84, 0x43, 0x00, 0x00, 0x50, 0x41, 0x66, 0x26, 0xc3, 0x43, 0x71, 0x3d, 0x4a, 0x40, + 0xce, 0xaa, 0x0f, 0x3e, 0x00, 0x00, 0xb0, 0x41, 0x1f, 0x85, 0xbb, 0x40, 0x00, 0x00, 0x00, 0x00, + 0x08, 0xac, 0xdc, 0x3e, 0x81, 0x95, 0xcf, 0x40, 0x00, 0x00, 0x50, 0x41, 0xc4, 0xb1, 0xec, 0x40, + 0x00, 0x00, 0xe0, 0x40, 0x00, 0x00, 0xa5, 0x43, 0xcd, 0xcc, 0x98, 0x41, 0xd7, 0x23, 0xc6, 0x43, + 0xcd, 0xcc, 0xbc, 0x40, 0xc3, 0xb6, 0x05, 0x3e, 0x00, 0x00, 0x00, 0x00, 0xf6, 0x28, 0x20, 0x41, + 0x00, 0x00, 0x00, 0x00, 0x31, 0x08, 0x0c, 0x3f, 0x6d, 0xe7, 0xbb, 0x40, 0x33, 0x33, 0x92, 0x42, + 0x5c, 0x8f, 0x1e, 0x40, 0x00, 0x00, 0xc0, 0x40, 0x00, 0x00, 0xd8, 0x43, 0x66, 0x66, 0x8e, 0x41, + 0xa4, 0x50, 0xa9, 0x43, 0x85, 0xeb, 0x75, 0x41, 0x8f, 0xe4, 0xb2, 0x3e, 0x00, 0x00, 0x00, 0x00, + 0x66, 0x66, 0x1e, 0x41, 0x00, 0x00, 0x00, 0x00, 0x96, 0x43, 0x0b, 0x3f, 0xa0, 0x1a, 0xbf, 0x40, + 0x66, 0x66, 0x99, 0x42, 0x5c, 0x8f, 0x46, 0x40, 0x00, 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0x40, 0x00, 0x00, 0xa0, 0x40, 0x00, 0x00, 0x94, 0x43, 0xcd, 0xcc, 0x84, 0x41, + 0xe1, 0x7a, 0xc3, 0x43, 0x5c, 0x8f, 0xaa, 0x40, 0x1f, 0x80, 0x54, 0x3d, 0x00, 0x00, 0x00, 0x00, + 0x14, 0xae, 0x8f, 0x40, 0x00, 0x00, 0x00, 0x00, 0x54, 0xe3, 0xe5, 0x3e, 0xe1, 0x7a, 0xc0, 0x40, + 0x66, 0x66, 0x34, 0x42, 0x9f, 0xab, 0x8d, 0x40, 0x00, 0x00, 0x40, 0x40, 0x00, 0x00, 0x77, 0x43, + 0x00, 0x00, 0x94, 0x41, 0xb8, 0xfe, 0xc5, 0x43, 0x8f, 0xc2, 0x4d, 0x41, 0x1b, 0xf5, 0xd4, 0x40, + 0x00, 0x00, 0x00, 0x00, 0xcd, 0xcc, 0x90, 0x41, 0x00, 0x00, 0x00, 0x00, 0x2b, 0x87, 0x36, 0x3f, + 0xdd, 0x24, 0xca, 0x40, 0x00, 0x00, 0xa6, 0x42, 0x69, 0x00, 0x2f, 0x40, 0x00, 0x00, 0xc0, 0x41, + 0x00, 0x80, 0x26, 0x44, 0x9a, 0x99, 0xa1, 0x41, 0x33, 0x73, 0xc6, 0x43, 0x0a, 0xd7, 0x5f, 0x41}; + +} // namespace data +} // namespace test +} // namespace train +} // namespace onert_micro + +#endif // ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_DATA_TRAIN_INPUT_H diff --git a/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/train_target.h b/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/train_target.h new file mode 100644 index 00000000000..096fa45574a --- /dev/null +++ b/onert-micro/onert-micro/include/train/tests/boston_housing_task/data/train_target.h @@ -0,0 +1,140 @@ +/* + * Copyright (c) 2024 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. + */ + +#ifndef ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_DATA_TRAIN_TARGET_H +#define ONERT_MICRO_TRAIN_TESTS_BOSTON_HOUSING_TASK_DATA_TRAIN_TARGET_H + +#include +#include + +namespace onert_micro +{ +namespace train +{ +namespace test +{ +namespace data +{ + +unsigned char train_target[] = { + 0x33, 0x33, 0x4b, 0x41, 0x9a, 0x99, 0xe5, 0x41, 0xcd, 0xcc, 0x88, 0x41, 0x00, 0x00, 0x2e, 0x42, + 0x33, 0x33, 0xc3, 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a/onert-micro/onert-micro/include/train/tests/models/boston_housing.h b/onert-micro/onert-micro/include/train/tests/models/boston_housing.h new file mode 100644 index 00000000000..d62c1d262fb --- /dev/null +++ b/onert-micro/onert-micro/include/train/tests/models/boston_housing.h @@ -0,0 +1,212 @@ +/* + * Copyright (c) 2024 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. + */ + +#ifndef ONERT_MICRO_TRAIN_TESTS_MODELS_BOSTON_HOUSING_H +#define ONERT_MICRO_TRAIN_TESTS_MODELS_BOSTON_HOUSING_H + +#include +#include + +namespace onert_micro +{ +namespace train +{ +namespace test +{ +namespace models +{ + +unsigned char boston_housing_model[] = { + 0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00, + 0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 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0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, + 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x13, 0x00, 0x00, 0x00, + 0x73, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0x5f, 0x64, 0x65, 0x66, 0x61, 0x75, 0x6c, 0x74, 0x5f, + 0x78, 0x3a, 0x30, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0d, 0x00, 0x00, 0x00, + 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, + 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x09, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, + 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, + 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00}; +unsigned int boston_housing_model_size = 2744; + +} // namespace models +} // namespace test +} // namespace train +} // namespace onert_micro + +#endif // ONERT_MICRO_TRAIN_TESTS_MODELS_BOSTON_HOUSING_H diff --git a/onert-micro/onert-micro/src/train/CMakeLists.txt b/onert-micro/onert-micro/src/train/CMakeLists.txt new file mode 100644 index 00000000000..6aa3c0f2721 --- /dev/null +++ b/onert-micro/onert-micro/src/train/CMakeLists.txt @@ -0,0 +1,56 @@ +message(STATUS "ONERT MICRO TRAIN BUILD BEGIN") + +include("${OM_PAL_DIR}/pal.cmake") + +initialize_pal() + +if (NOT PAL_INITIALIZED) + message(STATUS "ERROR: PAL Failed to initialize, skip BUILD EXECUTE") + return() +endif() + +set(SOURCES + OMBackpropExecute.cpp + OMBackpropExecutionBuilder.cpp + losses_functions/MSE.cpp + losses_functions/CrossEntropy.cpp + metrics/CrossEntropy.cpp + metrics/MAE.cpp + metrics/MSE.cpp + metrics/Accuracy.cpp + train_optimizers/SGD.cpp + train_optimizers/Adam.cpp + tests/BostonHousingTask.test.cpp + ) + +# Add configure kernels +macro(REGISTER_TRAIN_KERNEL OPERATOR, NODE) + list(APPEND SOURCES "kernels/${NODE}.cpp") +endmacro(REGISTER_TRAIN_KERNEL) + +# To add REGISTER_KERNEL list +include(${KERNEL_TRAIN_REGISTER_FILE}) + +add_library(${OM_TRAIN_LIB} STATIC ${SOURCES}) + +target_include_directories(${OM_TRAIN_LIB} PUBLIC "${OM_INCLUDE_DIR}") +target_link_libraries(${OM_TRAIN_LIB} PUBLIC ${OM_CORE_LIB}) + +message(STATUS "ONERT MICRO TRAIN BUILD FINISHED") + +if(NOT ENABLE_TEST) + return() +endif(NOT ENABLE_TEST) + +message(STATUS "ONERT MICRO TEST TRAIN BUILD STARTED") + +nnas_find_package(GTest REQUIRED) + +set (TEST_SOURCES + tests/BostonHousingTask.test.cpp) + +GTest_AddTest(${OM_TRAIN_LIB}_test ${TEST_SOURCES}) +target_include_directories(${OM_TRAIN_LIB}_test PUBLIC "${OM_INCLUDE_DIR}") +target_link_libraries(${OM_TRAIN_LIB}_test ${OM_TRAINING_INTERPRETER_LIB}) +target_link_libraries(${OM_TRAIN_LIB}_test onert_micro_coverage) +target_link_libraries(${OM_TRAIN_LIB} PUBLIC onert_micro_coverage) diff --git a/onert-micro/onert-micro/src/train/tests/BostonHousingTask.test.cpp b/onert-micro/onert-micro/src/train/tests/BostonHousingTask.test.cpp new file mode 100644 index 00000000000..6d9e1617d0b --- /dev/null +++ b/onert-micro/onert-micro/src/train/tests/BostonHousingTask.test.cpp @@ -0,0 +1,145 @@ +/* + * Copyright (c) 2024 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 "train/tests/boston_housing_task/BostonHousingTask.h" +#include "train/tests/OMTestUtils.h" + +#include + +namespace onert_micro +{ +namespace train +{ +namespace test +{ + +using namespace testing; + +class BostonHousingTaskTest : public ::testing::Test +{ +public: + BostonHousingTaskTest() + { + // Set user defined training settings + const uint32_t training_epochs = 30; + const float lambda = 0.1f; + const uint32_t batch_size = 32; + // Train all layers + const uint32_t num_train_layers = 0; + const onert_micro::OMLoss loss = onert_micro::MSE; + const onert_micro::OMTrainOptimizer train_optim = onert_micro::ADAM; + const float beta = 0.9; + const float beta_squares = 0.999; + const float epsilon = 1e-07; + + config.train_mode = true; + { + onert_micro::OMTrainingContext train_context; + train_context.batch_size = batch_size; + train_context.num_of_train_layers = num_train_layers; + train_context.learning_rate = lambda; + train_context.loss = loss; + train_context.optimizer = train_optim; + train_context.beta = beta; + train_context.beta_squares = beta_squares; + train_context.epsilon = epsilon; + train_context.epochs = training_epochs; + + config.training_context = train_context; + } + } + + OMConfig config = {}; + + // Some value for checking that the learning process has not become worse + const float golden_mae_metric = 10.f; +}; + +TEST_F(BostonHousingTaskTest, ADAM_MSE_P) +{ + // Create BostonHousing data handler + BostonHousingTask bostonTask; + + config.model_ptr = bostonTask.getModelPtr(); + config.model_size = bostonTask.getModelSize(); + config.train_mode = true; + + // Create and import train interpreter + OMTrainingInterpreter train_interpreter; + OMStatus status = train_interpreter.importTrainModel(bostonTask.getModelPtr(), config); + EXPECT_EQ(status, Ok); + + // Evaluate result before training + float mae_metric_before_training = 0.f; + status = + evaluate(train_interpreter, config, bostonTask, MAE_METRICS, &mae_metric_before_training); + EXPECT_EQ(status, Ok); + + // Train model with current config + status = train(train_interpreter, config, bostonTask); + EXPECT_EQ(status, Ok); + + // Evaluate result after training + float mae_metric_after_training = 0.f; + status = evaluate(train_interpreter, config, bostonTask, MAE_METRICS, &mae_metric_after_training); + EXPECT_EQ(status, Ok); + + // MAE metric after training should be better then before (before training mae value greater then + // after) + EXPECT_GT(mae_metric_before_training, mae_metric_after_training); + + // Compare with gold value + EXPECT_LE(mae_metric_after_training, golden_mae_metric); +} + +TEST_F(BostonHousingTaskTest, Wrong_Loss_N) +{ + // Create BostonHousing data handler + BostonHousingTask bostonTask; + + config.model_ptr = bostonTask.getModelPtr(); + config.model_size = bostonTask.getModelSize(); + config.train_mode = true; + // Use CrossEntropy loss for regression task - it is wrong way + config.training_context.loss = CROSS_ENTROPY; + + // Create and import train interpreter + OMTrainingInterpreter train_interpreter; + OMStatus status = train_interpreter.importTrainModel(bostonTask.getModelPtr(), config); + EXPECT_EQ(status, Ok); + + // Evaluate result before training + float mae_metric_before_training = 0.f; + status = + evaluate(train_interpreter, config, bostonTask, MAE_METRICS, &mae_metric_before_training); + EXPECT_EQ(status, Ok); + + // Train model with current config + status = train(train_interpreter, config, bostonTask); + EXPECT_EQ(status, Ok); + + // Evaluate result after training + float mae_metric_after_training = 0.f; + status = evaluate(train_interpreter, config, bostonTask, MAE_METRICS, &mae_metric_after_training); + EXPECT_EQ(status, Ok); + + // MAE metric will degraded due to wrong type + EXPECT_LT(mae_metric_before_training, mae_metric_after_training); +} + +} // namespace test +} // namespace train +} // namespace onert_micro From 75efbc94f3c839ee60e068bef2c937d8daec96aa Mon Sep 17 00:00:00 2001 From: Artem Balyshev Date: Wed, 19 Jun 2024 18:15:25 +0300 Subject: [PATCH 2/2] some fixes --- onert-micro/onert-micro/include/train/tests/OMTestTrainBase.h | 1 + onert-micro/onert-micro/src/train/CMakeLists.txt | 1 - 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/onert-micro/onert-micro/include/train/tests/OMTestTrainBase.h b/onert-micro/onert-micro/include/train/tests/OMTestTrainBase.h index f16ea160d16..6a13c6401e5 100644 --- a/onert-micro/onert-micro/include/train/tests/OMTestTrainBase.h +++ b/onert-micro/onert-micro/include/train/tests/OMTestTrainBase.h @@ -18,6 +18,7 @@ #define ONERT_MICRO_TRAIN_TESTS_TEST_TRAIN_BASE_H #include +#include namespace onert_micro { diff --git a/onert-micro/onert-micro/src/train/CMakeLists.txt b/onert-micro/onert-micro/src/train/CMakeLists.txt index 6aa3c0f2721..7787dd3c941 100644 --- a/onert-micro/onert-micro/src/train/CMakeLists.txt +++ b/onert-micro/onert-micro/src/train/CMakeLists.txt @@ -20,7 +20,6 @@ set(SOURCES metrics/Accuracy.cpp train_optimizers/SGD.cpp train_optimizers/Adam.cpp - tests/BostonHousingTask.test.cpp ) # Add configure kernels