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82 lines
2.9 KiB
82 lines
2.9 KiB
/* |
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* Copyright (C) 2017 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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#include "smartselect/cached-features.h" |
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#include "util/base/logging.h" |
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namespace libtextclassifier { |
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void CachedFeatures::Extract( |
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const std::vector<std::vector<int>>& sparse_features, |
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const std::vector<std::vector<float>>& dense_features, |
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const std::function<bool(const std::vector<int>&, const std::vector<float>&, |
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float*)>& feature_vector_fn) { |
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features_.resize(feature_vector_size_ * tokens_.size()); |
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for (int i = 0; i < tokens_.size(); ++i) { |
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feature_vector_fn(sparse_features[i], dense_features[i], |
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features_.data() + i * feature_vector_size_); |
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} |
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} |
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bool CachedFeatures::Get(int click_pos, VectorSpan<float>* features, |
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VectorSpan<Token>* output_tokens) { |
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const int token_start = click_pos - context_size_; |
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const int token_end = click_pos + context_size_ + 1; |
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if (token_start < 0 || token_end > tokens_.size()) { |
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TC_LOG(ERROR) << "Tokens out of range: " << token_start << " " << token_end; |
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return false; |
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} |
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*features = |
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VectorSpan<float>(features_.begin() + token_start * feature_vector_size_, |
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features_.begin() + token_end * feature_vector_size_); |
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*output_tokens = VectorSpan<Token>(tokens_.begin() + token_start, |
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tokens_.begin() + token_end); |
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if (remap_v0_feature_vector_) { |
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RemapV0FeatureVector(features); |
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} |
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return true; |
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} |
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void CachedFeatures::RemapV0FeatureVector(VectorSpan<float>* features) { |
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if (!remap_v0_feature_vector_) { |
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return; |
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} |
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auto it = features->begin(); |
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int num_suffix_features = |
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feature_vector_size_ - remap_v0_chargram_embedding_size_; |
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int num_tokens = context_size_ * 2 + 1; |
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for (int t = 0; t < num_tokens; ++t) { |
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for (int i = 0; i < remap_v0_chargram_embedding_size_; ++i) { |
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v0_feature_storage_[t * remap_v0_chargram_embedding_size_ + i] = *it; |
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++it; |
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} |
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// Rest of the features are the dense features that come to the end. |
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for (int i = 0; i < num_suffix_features; ++i) { |
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// clang-format off |
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v0_feature_storage_[num_tokens * remap_v0_chargram_embedding_size_ |
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+ t * num_suffix_features |
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+ i] = *it; |
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// clang-format on |
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++it; |
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} |
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} |
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*features = VectorSpan<float>(v0_feature_storage_); |
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} |
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} // namespace libtextclassifier
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