Export libtextclassifier to Android (generated by the export script)
Test: Compile and boot
Change-Id: I0433e6fb549ba0b32bc55933b3c11562e61a0b4d
diff --git a/lang_id/common/embedding-feature-interface.h b/lang_id/common/embedding-feature-interface.h
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+/*
+ * 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_COMMON_MOBILE_EMBEDDING_FEATURE_INTERFACE_H_
+#define NLP_SAFT_COMPONENTS_COMMON_MOBILE_EMBEDDING_FEATURE_INTERFACE_H_
+
+#include <string>
+#include <vector>
+
+#include "lang_id/common/embedding-feature-extractor.h"
+#include "lang_id/common/fel/feature-extractor.h"
+#include "lang_id/common/fel/task-context.h"
+#include "lang_id/common/fel/workspace.h"
+#include "lang_id/common/lite_base/attributes.h"
+
+namespace libtextclassifier3 {
+namespace mobile {
+
+template <class EXTRACTOR, class OBJ, class... ARGS>
+class EmbeddingFeatureInterface {
+ public:
+ // Constructs this EmbeddingFeatureInterface.
+ //
+ // |arg_prefix| is a string prefix for the TaskContext parameters, passed to
+ // |the underlying EmbeddingFeatureExtractor.
+ explicit EmbeddingFeatureInterface(const string &arg_prefix)
+ : feature_extractor_(arg_prefix) {}
+
+ // Sets up feature extractors and flags for processing (inference).
+ SAFTM_MUST_USE_RESULT bool SetupForProcessing(TaskContext *context) {
+ return feature_extractor_.Setup(context);
+ }
+
+ // Initializes feature extractor resources for processing (inference)
+ // including requesting a workspace for caching extracted features.
+ SAFTM_MUST_USE_RESULT bool InitForProcessing(TaskContext *context) {
+ if (!feature_extractor_.Init(context)) return false;
+ feature_extractor_.RequestWorkspaces(&workspace_registry_);
+ return true;
+ }
+
+ // Preprocesses *obj using the internal workspace registry.
+ void Preprocess(WorkspaceSet *workspace, OBJ *obj) const {
+ workspace->Reset(workspace_registry_);
+ feature_extractor_.Preprocess(workspace, obj);
+ }
+
+ // Extract features from |obj|. On return, FeatureVector features[i]
+ // contains the features for the embedding space #i.
+ //
+ // This function uses the precomputed info from |workspace|. Usage pattern:
+ //
+ // EmbeddingFeatureInterface<...> feature_interface;
+ // ...
+ // OBJ obj;
+ // WorkspaceSet workspace;
+ // feature_interface.Preprocess(&workspace, &obj);
+ //
+ // // For the same obj, but with different args:
+ // std::vector<FeatureVector> features;
+ // feature_interface.GetFeatures(obj, args, workspace, &features);
+ //
+ // This pattern is useful (more efficient) if you can pre-compute some info
+ // for the entire |obj|, which is reused by the feature extraction performed
+ // for different args. If that is not the case, you can use the simpler
+ // version GetFeaturesNoCaching below.
+ void GetFeatures(const OBJ &obj, ARGS... args, const WorkspaceSet &workspace,
+ std::vector<FeatureVector> *features) const {
+ feature_extractor_.ExtractFeatures(workspace, obj, args..., features);
+ }
+
+ // Simpler version of GetFeatures(), for cases when there is no opportunity to
+ // reuse computation between feature extractions for the same |obj|, but with
+ // different |args|. Returns the extracted features. For more info, see the
+ // doc for GetFeatures().
+ std::vector<FeatureVector> GetFeaturesNoCaching(OBJ *obj,
+ ARGS... args) const {
+ // Technically, we still use a workspace, because
+ // feature_extractor_.ExtractFeatures requires one. But there is no real
+ // caching here, as we start from scratch for each call to ExtractFeatures.
+ WorkspaceSet workspace;
+ Preprocess(&workspace, obj);
+ std::vector<FeatureVector> features(NumEmbeddings());
+ GetFeatures(*obj, args..., workspace, &features);
+ return features;
+ }
+
+ // Returns number of embedding spaces.
+ int NumEmbeddings() const { return feature_extractor_.NumEmbeddings(); }
+
+ private:
+ // Typed feature extractor for embeddings.
+ EmbeddingFeatureExtractor<EXTRACTOR, OBJ, ARGS...> feature_extractor_;
+
+ // The registry of shared workspaces in the feature extractor.
+ WorkspaceRegistry workspace_registry_;
+};
+
+} // namespace mobile
+} // namespace nlp_saft
+
+#endif // NLP_SAFT_COMPONENTS_COMMON_MOBILE_EMBEDDING_FEATURE_INTERFACE_H_