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74 lines
2.4 KiB
74 lines
2.4 KiB
/*
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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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#include "lang_id/common/embedding-feature-extractor.h"
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#include <stddef.h>
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#include <string>
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#include <vector>
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#include "lang_id/common/fel/feature-extractor.h"
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#include "lang_id/common/fel/feature-types.h"
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#include "lang_id/common/fel/task-context.h"
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#include "lang_id/common/lite_base/integral-types.h"
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#include "lang_id/common/lite_base/logging.h"
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#include "lang_id/common/lite_strings/numbers.h"
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#include "lang_id/common/lite_strings/str-split.h"
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#include "lang_id/common/lite_strings/stringpiece.h"
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namespace libtextclassifier3 {
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namespace mobile {
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bool GenericEmbeddingFeatureExtractor::Setup(TaskContext *context) {
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// Don't use version to determine how to get feature FML.
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const std::string features = context->Get(GetParamName("features"), "");
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const std::string embedding_names =
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context->Get(GetParamName("embedding_names"), "");
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const std::string embedding_dims =
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context->Get(GetParamName("embedding_dims"), "");
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// NOTE: unfortunately, LiteStrSplit returns a vector of StringPieces pointing
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// to the original string, in this case |features|, which is local to this
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// method. We need to explicitly create new strings.
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for (StringPiece sp : LiteStrSplit(features, ';')) {
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embedding_fml_.emplace_back(sp);
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}
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// Same here.
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for (StringPiece sp : LiteStrSplit(embedding_names, ';')) {
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embedding_names_.emplace_back(sp);
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}
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std::vector<StringPiece> dim_strs = LiteStrSplit(embedding_dims, ';');
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for (const auto &dim_str : dim_strs) {
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int dim = 0;
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if (!LiteAtoi(dim_str, &dim)) {
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SAFTM_LOG(ERROR) << "Unable to parse " << dim_str;
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return false;
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}
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embedding_dims_.push_back(dim);
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}
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return true;
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}
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bool GenericEmbeddingFeatureExtractor::Init(TaskContext *context) {
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return true;
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}
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} // namespace mobile
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} // namespace nlp_saft
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