1 files changed, 71 insertions, 0 deletions
diff --git a/runtime/onert/core/include/compiler/train/TrainingInfo.h b/runtime/onert/core/include/compiler/train/TrainingInfo.h
new file mode 100644
index 000000000..3b77c838c
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+++ b/runtime/onert/core/include/compiler/train/TrainingInfo.h
@@ -0,0 +1,71 @@
+/*
+ * Copyright (c) 2023 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_COMPILER_TRAIN_TRAINING_INFO_H__
+#define __ONERT_COMPILER_TRAIN_TRAINING_INFO_H__
+
+#include "ir/Index.h"
+#include "exec/train/optimizer/OptimizerCode.h"
+#include "ir/operation/Loss.h"
+
+namespace onert
+{
+namespace compiler
+{
+namespace train
+{
+
+struct LossInfo
+{
+  ir::operation::Loss::Type type;
+  // TODO Add members for loss
+};
+
+struct OptimizerInfo
+{
+  exec::train::optimizer::OptimizerCode optim_code;
+  float learning_rate;
+  // TODO Add properties
+};
+
+class TrainingInfo
+{
+public:
+  TrainingInfo() {}
+  TrainingInfo(const TrainingInfo &obj) = default;
+  TrainingInfo(TrainingInfo &&) = default;
+  TrainingInfo &operator=(const TrainingInfo &) = default;
+  TrainingInfo &operator=(TrainingInfo &&) = default;
+  ~TrainingInfo() = default;
+
+  uint32_t batchSize() const { return _batch_size; }
+  void setBatchSize(const uint32_t batch_size) { _batch_size = batch_size; }
+  const LossInfo &lossInfo() const { return _loss_info; }
+  void setLossInfo(const LossInfo &loss_info) { _loss_info = loss_info; }
+  const OptimizerInfo &optimizerInfo() const { return _optimizer_info; }
+  void setOptimizerInfo(const OptimizerInfo &optimizer_info) { _optimizer_info = optimizer_info; }
+
+private:
+  LossInfo _loss_info;
+  OptimizerInfo _optimizer_info;
+  uint32_t _batch_size;
+};
+
+} // namespace train
+} // namespace compiler
+} // namespace onert
+
+#endif // __ONERT_COMPILER_TRAIN_TRAINING_INFO_H__