// Copyright (c) Microsoft Corporation. All rights reserved. // Licensed under the MIT License. #pragma once #include "LearningModelSessionOptions.g.h" namespace WINMLP { struct LearningModelSessionOptions : LearningModelSessionOptionsT { LearningModelSessionOptions() = default; LearningModelSessionOptions(const LearningModelSessionOptions& options); uint32_t BatchSizeOverride(); void BatchSizeOverride(uint32_t value); bool CloseModelOnSessionCreation(); void CloseModelOnSessionCreation(bool value); private: // The batch size override property is used to inform the engine when the developer // wants to explicitly set the batch size of a model to a fixed batch size. // // 0 : dont override the model batch definitions // 1...n : override the model with the given batch size // // This value is a unsigned value, and users are not allowed to override models with a free batch size. // If the model supports free dimensional batch sizes, the caller should provide 0, to not override. // // The default value here is 1 so that models with free dimension batch sizes (which is very common) // can be optimized to fixed sizes. uint32_t batch_size_override_ = 1; // The close model on session creation property is used to inform the engine when the developer // no longer needs the learningmodelsession after session creation. // The engine can use the learning model during session creation to move resources rather than make copies. // // True : Move resources in the LearningModel in to the LearningModelSession // False : Copy resources in the LearningModel to the LearningModelSession // // The default value here is False so that models are not automatically closed on session creation. bool close_model_on_session_creation_ = false; }; } // namespace WINMLP namespace WINML::factory_implementation { struct LearningModelSessionOptions : LearningModelSessionOptionsT { }; } // namespace WINML::factory_implementation