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84 lines
3.1 KiB
84 lines
3.1 KiB
4 months ago
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/*
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* Copyright (C) 2018 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef LIBTEXTCLASSIFIER_ANNOTATOR_CACHED_FEATURES_H_
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#define LIBTEXTCLASSIFIER_ANNOTATOR_CACHED_FEATURES_H_
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#include <memory>
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#include <vector>
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#include "annotator/model-executor.h"
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#include "annotator/model_generated.h"
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#include "annotator/types.h"
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namespace libtextclassifier3 {
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// Holds state for extracting features across multiple calls and reusing them.
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// Assumes that features for each Token are independent.
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class CachedFeatures {
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public:
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static std::unique_ptr<CachedFeatures> Create(
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const TokenSpan& extraction_span,
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std::unique_ptr<std::vector<float>> features,
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std::unique_ptr<std::vector<float>> padding_features,
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const FeatureProcessorOptions* options, int feature_vector_size);
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// Appends the click context features for the given click position to
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// 'output_features'.
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void AppendClickContextFeaturesForClick(
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int click_pos, std::vector<float>* output_features) const;
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// Appends the bounds-sensitive features for the given token span to
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// 'output_features'.
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void AppendBoundsSensitiveFeaturesForSpan(
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TokenSpan selected_span, std::vector<float>* output_features) const;
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// Returns number of features that 'AppendFeaturesForSpan' appends.
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int OutputFeaturesSize() const { return output_features_size_; }
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private:
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CachedFeatures() {}
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// Appends token features to the output. The intended_span specifies which
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// tokens' features should be used in principle. The read_mask_span restricts
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// which tokens are actually read. For tokens outside of the read_mask_span,
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// padding tokens are used instead.
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void AppendFeaturesInternal(const TokenSpan& intended_span,
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const TokenSpan& read_mask_span,
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std::vector<float>* output_features) const;
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// Appends features of one padding token to the output.
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void AppendPaddingFeatures(std::vector<float>* output_features) const;
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// Appends the features of tokens from the given span to the output. The
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// features are averaged so that the appended features have the size
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// corresponding to one token.
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void AppendBagFeatures(const TokenSpan& bag_span,
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std::vector<float>* output_features) const;
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int NumFeaturesPerToken() const;
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TokenSpan extraction_span_;
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const FeatureProcessorOptions* options_;
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int output_features_size_;
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std::unique_ptr<std::vector<float>> features_;
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std::unique_ptr<std::vector<float>> padding_features_;
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};
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} // namespace libtextclassifier3
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#endif // LIBTEXTCLASSIFIER_ANNOTATOR_CACHED_FEATURES_H_
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