/* * Copyright (C) 2018 The Android Open Source Project * * 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 NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_MODEL_PROVIDER_H_ #define NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_MODEL_PROVIDER_H_ #include #include #include "lang_id/common/embedding-network-params.h" namespace libtextclassifier3 { namespace mobile { namespace lang_id { // Interface for accessing parameters for the LangId model. // // Note: some clients prefer to include the model parameters in the binary, // others prefer loading them from a separate file. This file provides a common // interface for these alternative mechanisms. class ModelProvider { public: virtual ~ModelProvider() = default; // Returns true if this ModelProvider has been succesfully constructed (e.g., // can return false if an underlying model file could not be read). Clients // should not use invalid ModelProviders. bool is_valid() { return valid_; } // Returns the TaskContext with parameters for the LangId model. E.g., one // important parameter specifies the features to use. virtual const TaskContext *GetTaskContext() const = 0; // Returns parameters for the underlying Neurosis feed-forward neural network. virtual const EmbeddingNetworkParams *GetNnParams() const = 0; // Returns list of languages recognized by the model. Each element of the // returned vector should be a BCP-47 language code (e.g., "en", "ro", etc). // Language at index i from the returned vector corresponds to softmax label // i. virtual std::vector GetLanguages() const = 0; protected: bool valid_ = false; }; } // namespace lang_id } // namespace mobile } // namespace nlp_saft #endif // NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_MODEL_PROVIDER_H_