onnxruntime_training_c_api.h

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
 
// This file contains the training c apis.
 
#pragma once
#include <stdbool.h>
#include "onnxruntime_c_api.h"
 
ORT_RUNTIME_CLASS(TrainingSession);  // Type that enables performing training for the given user models.
ORT_RUNTIME_CLASS(CheckpointState);  // Type that holds the training states for the training session.
 
typedef enum OrtPropertyType {
  OrtIntProperty = 0,
  OrtFloatProperty = 1,
  OrtStringProperty = 2,
} OrtPropertyType;
 
struct OrtTrainingApi {
 
  ORT_API2_STATUS(LoadCheckpoint, _In_ const ORTCHAR_T* checkpoint_path,
                  _Outptr_ OrtCheckpointState** checkpoint_state);
 
  ORT_API2_STATUS(SaveCheckpoint, _In_ OrtCheckpointState* checkpoint_state, _In_ const ORTCHAR_T* checkpoint_path,
                  const bool include_optimizer_state);
 
 
 
  ORT_API2_STATUS(CreateTrainingSession, _In_ const OrtEnv* env, _In_ const OrtSessionOptions* options,
                  _Inout_ OrtCheckpointState* checkpoint_state, _In_ const ORTCHAR_T* train_model_path,
                  _In_ const ORTCHAR_T* eval_model_path, _In_ const ORTCHAR_T* optimizer_model_path,
                  _Outptr_result_maybenull_ OrtTrainingSession** out);
 
  ORT_API2_STATUS(CreateTrainingSessionFromBuffer, _In_ const OrtEnv* env,
                  _In_ const OrtSessionOptions* options, _Inout_ OrtCheckpointState* checkpoint_state,
                  _In_ const void* train_model_data, size_t train_data_length,
                  _In_ const void* eval_model_data, size_t eval_data_length,
                  _In_ const void* optim_model_data, size_t optim_data_length,
                  _Outptr_result_maybenull_ OrtTrainingSession** out);
 
 
 
  ORT_API2_STATUS(TrainingSessionGetTrainingModelOutputCount, _In_ const OrtTrainingSession* sess, _Out_ size_t* out);
 
  ORT_API2_STATUS(TrainingSessionGetEvalModelOutputCount, _In_ const OrtTrainingSession* sess, _Out_ size_t* out);
 
  ORT_API2_STATUS(TrainingSessionGetTrainingModelOutputName, _In_ const OrtTrainingSession* sess, size_t index, _Inout_ OrtAllocator* allocator, _Outptr_ char** output);
 
  ORT_API2_STATUS(TrainingSessionGetEvalModelOutputName, _In_ const OrtTrainingSession* sess, size_t index, _Inout_ OrtAllocator* allocator, _Outptr_ char** output);
 
 
 
  ORT_API2_STATUS(LazyResetGrad, _Inout_ OrtTrainingSession* session);
 
  ORT_API2_STATUS(TrainStep, _Inout_ OrtTrainingSession* sess, _In_opt_ const OrtRunOptions* run_options,
                  _In_ size_t inputs_len, _In_reads_(inputs_len) const OrtValue* const* inputs,
                  _In_ size_t outputs_len, _Inout_updates_all_(outputs_len) OrtValue** outputs);
 
  ORT_API2_STATUS(EvalStep, _In_ const OrtTrainingSession* sess, _In_opt_ const OrtRunOptions* run_options,
                  _In_ size_t inputs_len, _In_reads_(inputs_len) const OrtValue* const* inputs,
                  _In_ size_t outputs_len, _Inout_updates_all_(outputs_len) OrtValue** outputs);
 
  ORT_API2_STATUS(SetLearningRate, _Inout_ OrtTrainingSession* sess, _In_ float learning_rate);
 
  ORT_API2_STATUS(GetLearningRate, _Inout_ OrtTrainingSession* sess, _Out_ float* learning_rate);
 
  ORT_API2_STATUS(OptimizerStep, _Inout_ OrtTrainingSession* sess,
                  _In_opt_ const OrtRunOptions* run_options);
 
  ORT_API2_STATUS(RegisterLinearLRScheduler, _Inout_ OrtTrainingSession* sess, _In_ const int64_t warmup_step_count,
                  _In_ const int64_t total_step_count, _In_ const float initial_lr);
 
  ORT_API2_STATUS(SchedulerStep, _Inout_ OrtTrainingSession* sess);
 
 
 
  ORT_API2_STATUS(GetParametersSize, _Inout_ OrtTrainingSession* sess, _Out_ size_t* out, bool trainable_only);
 
  ORT_API2_STATUS(CopyParametersToBuffer, _Inout_ OrtTrainingSession* sess,
                  _Inout_ OrtValue* parameters_buffer, bool trainable_only);
 
  ORT_API2_STATUS(CopyBufferToParameters, _Inout_ OrtTrainingSession* sess,
                  _Inout_ OrtValue* parameters_buffer, bool trainable_only);
 
 
 
  ORT_CLASS_RELEASE(TrainingSession);
 
  ORT_CLASS_RELEASE(CheckpointState);
 
 
 
  ORT_API2_STATUS(ExportModelForInferencing, _Inout_ OrtTrainingSession* sess,
                  _In_ const ORTCHAR_T* inference_model_path, size_t graph_outputs_len,
                  _In_reads_(graph_outputs_len) const char* const* graph_output_names);
 
 
 
  ORT_API2_STATUS(SetSeed, _In_ const int64_t seed);
 
 
 
  ORT_API2_STATUS(TrainingSessionGetTrainingModelInputCount, _In_ const OrtTrainingSession* sess, _Out_ size_t* out);
 
  ORT_API2_STATUS(TrainingSessionGetEvalModelInputCount, _In_ const OrtTrainingSession* sess, _Out_ size_t* out);
 
  ORT_API2_STATUS(TrainingSessionGetTrainingModelInputName, _In_ const OrtTrainingSession* sess, size_t index,
                  _In_ OrtAllocator* allocator, _Outptr_ char** output);
 
  ORT_API2_STATUS(TrainingSessionGetEvalModelInputName, _In_ const OrtTrainingSession* sess, size_t index,
                  _In_ OrtAllocator* allocator, _Outptr_ char** output);
 
 
 
  ORT_API2_STATUS(AddProperty, _Inout_ OrtCheckpointState* checkpoint_state,
                  _In_ const char* property_name, _In_ enum OrtPropertyType property_type,
                  _In_ void* property_value);
 
  ORT_API2_STATUS(GetProperty, _In_ const OrtCheckpointState* checkpoint_state,
                  _In_ const char* property_name, _Inout_ OrtAllocator* allocator,
                  _Out_ enum OrtPropertyType* property_type, _Outptr_ void** property_value);
 
 
 
  ORT_API2_STATUS(LoadCheckpointFromBuffer, _In_ const void* checkpoint_buffer,
                  _In_ const size_t num_bytes, _Outptr_ OrtCheckpointState** checkpoint_state);
 
};
 
typedef struct OrtTrainingApi OrtTrainingApi;