chromium/third_party/cld_3/src/src/embedding_network.cc

/* Copyright 2016 Google Inc. All Rights Reserved.

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.
==============================================================================*/

#include "embedding_network.h"

#include "base.h"
#include "embedding_network_params.h"
#include "float16.h"
#include "simple_adder.h"

namespace chrome_lang_id {
namespace {

VectorWrapper;

void CheckNoQuantization(const EmbeddingNetworkParams::Matrix matrix) { … }

// Fills a Matrix object with the parameters in the given MatrixParams.  This
// function is used to initialize weight matrices that are *not* embedding
// matrices.
void FillMatrixParams(const EmbeddingNetworkParams::Matrix source_matrix,
                      EmbeddingNetwork::Matrix *mat) { … }

// Computes y = weights * Relu(x) + b where Relu is optionally applied.
template <typename ScaleAdderClass>
void SparseReluProductPlusBias(bool apply_relu,
                               const EmbeddingNetwork::Matrix &weights,
                               const EmbeddingNetwork::VectorWrapper &b,
                               const EmbeddingNetwork::Vector &x,
                               EmbeddingNetwork::Vector *y) { … }
}  // namespace

void EmbeddingNetwork::ConcatEmbeddings(
    const std::vector<FeatureVector> &feature_vectors, Vector *concat) const { … }

template <typename ScaleAdderClass>
void EmbeddingNetwork::FinishComputeFinalScores(const Vector &concat,
                                                Vector *scores) const { … }

void EmbeddingNetwork::ComputeFinalScores(
    const std::vector<FeatureVector> &features, Vector *scores) const { … }

EmbeddingNetwork::EmbeddingNetwork(const EmbeddingNetworkParams *model)
    : … { … }

}  // namespace chrome_lang_id