HashedWDFeatures.cpp

Go to the documentation of this file.

/*
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 3 of the License, or
 * (at your option) any later version.
 *
 * Written (W) 2010 Soeren Sonnenburg
 * Copyright (C) 2010 Berlin Institute of Technology
 */

#include <shogun/features/HashedWDFeatures.h>
#include <shogun/io/SGIO.h>

using namespace shogun;

CHashedWDFeatures::CHashedWDFeatures() :CDotFeatures()
{
    SG_UNSTABLE("CHashedWDFeatures::CHashedWDFeatures()", "\n")

    strings = NULL;

    degree = 0;
    start_degree = 0;
    from_degree = 0;
    string_length = 0;
    num_strings = 0;
    alphabet_size = 0;
    w_dim = 0;
    partial_w_dim = 0;
    wd_weights = NULL;
    mask = 0;
    m_hash_bits = 0;

    normalization_const = 0.0;
}

CHashedWDFeatures::CHashedWDFeatures(CStringFeatures<uint8_t>* str,
        int32_t start_order, int32_t order, int32_t from_order,
        int32_t hash_bits) : CDotFeatures()
{
    ASSERT(start_order>=0)
    ASSERT(start_order<order)
    ASSERT(order<=from_order)
    ASSERT(hash_bits>0)
    ASSERT(str)
    ASSERT(str->have_same_length())
    SG_REF(str);

    strings=str;
    string_length=str->get_max_vector_length();
    num_strings=str->get_num_vectors();
    CAlphabet* alpha=str->get_alphabet();
    alphabet_size=alpha->get_num_symbols();
    SG_UNREF(alpha);

    degree=order;
    start_degree=start_order;
    from_degree=from_order;
    m_hash_bits=hash_bits;
    set_wd_weights();
    set_normalization_const();
}

CHashedWDFeatures::CHashedWDFeatures(const CHashedWDFeatures& orig)
    : CDotFeatures(orig), strings(orig.strings),
    degree(orig.degree), start_degree(orig.start_degree),
    from_degree(orig.from_degree), m_hash_bits(orig.m_hash_bits),
    normalization_const(orig.normalization_const)
{
    SG_REF(strings);
    string_length=strings->get_max_vector_length();
    num_strings=strings->get_num_vectors();
    CAlphabet* alpha=strings->get_alphabet();
    alphabet_size=alpha->get_num_symbols();
    SG_UNREF(alpha);

    set_wd_weights();
}

CHashedWDFeatures::~CHashedWDFeatures()
{
    SG_UNREF(strings);
    SG_FREE(wd_weights);
}

float64_t CHashedWDFeatures::dot(int32_t vec_idx1, CDotFeatures* df, int32_t vec_idx2)
{
    ASSERT(df)
    ASSERT(df->get_feature_type() == get_feature_type())
    ASSERT(df->get_feature_class() == get_feature_class())
    CHashedWDFeatures* wdf = (CHashedWDFeatures*) df;

    int32_t len1, len2;
    bool free_vec1, free_vec2;

    uint8_t* vec1=strings->get_feature_vector(vec_idx1, len1, free_vec1);
    uint8_t* vec2=wdf->strings->get_feature_vector(vec_idx2, len2, free_vec2);

    ASSERT(len1==len2)

    float64_t sum=0.0;

    for (int32_t i=0; i<len1; i++)
    {
        for (int32_t j=0; (i+j<len1) && (j<degree); j++)
        {
            if (vec1[i+j]!=vec2[i+j])
                break;
            if (j>=start_degree)
                sum += wd_weights[j]*wd_weights[j];
        }
    }
    strings->free_feature_vector(vec1, vec_idx1, free_vec1);
    wdf->strings->free_feature_vector(vec2, vec_idx2, free_vec2);
    return sum/CMath::sq(normalization_const);
}

float64_t CHashedWDFeatures::dense_dot(int32_t vec_idx1, const float64_t* vec2, int32_t vec2_len)
{
    if (vec2_len != w_dim)
        SG_ERROR("Dimensions don't match, vec2_dim=%d, w_dim=%d\n", vec2_len, w_dim)

    float64_t sum=0;
    int32_t lim=CMath::min(degree, string_length);
    int32_t len;
    bool free_vec1;
    uint8_t* vec = strings->get_feature_vector(vec_idx1, len, free_vec1);
    uint32_t* val=SG_MALLOC(uint32_t, len);

    uint32_t offs=0;

    if (start_degree>0)
    {
        // compute hash for strings of length start_degree-1
        for (int32_t i=0; i+start_degree < len; i++)
            val[i]=CHash::MurmurHash3(&vec[i], start_degree, 0xDEADBEAF);
    }
    else
        SGVector<uint32_t>::fill_vector(val, len, 0xDEADBEAF);

    for (int32_t k=start_degree; k<lim; k++)
    {
        float64_t wd = wd_weights[k];

        uint32_t o=offs;
        uint32_t carry = 0;
        uint32_t chunk = 0;

        for (int32_t i=0; i+k < len; i++)
        {
            chunk++;
            CHash::IncrementalMurmurHash3(&(val[i]), &carry, &(vec[i+k]), 1);
            uint32_t h =
                    CHash::FinalizeIncrementalMurmurHash3(val[i], carry, chunk);
#ifdef DEBUG_HASHEDWD
            SG_PRINT("vec[i]=%d, k=%d, offs=%d o=%d\n", vec[i], k,offs, o)
#endif
            sum+=vec2[o+(h & mask)]*wd;
            val[i] = h;
            o+=partial_w_dim;
        }
        val[len-k-1] =
                CHash::FinalizeIncrementalMurmurHash3(val[len-k-1], carry, chunk);
        offs+=partial_w_dim*len;
    }
    SG_FREE(val);
    strings->free_feature_vector(vec, vec_idx1, free_vec1);

    return sum/normalization_const;
}

void CHashedWDFeatures::add_to_dense_vec(float64_t alpha, int32_t vec_idx1, float64_t* vec2, int32_t vec2_len, bool abs_val)
{
    if (vec2_len != w_dim)
        SG_ERROR("Dimensions don't match, vec2_dim=%d, w_dim=%d\n", vec2_len, w_dim)

    int32_t lim=CMath::min(degree, string_length);
    int32_t len;
    bool free_vec1;
    uint8_t* vec = strings->get_feature_vector(vec_idx1, len, free_vec1);
    uint32_t* val=SG_MALLOC(uint32_t, len);

    uint32_t offs=0;

    if (start_degree>0)
    {
        // compute hash for strings of length start_degree-1
        for (int32_t i=0; i+start_degree < len; i++)
            val[i]=CHash::MurmurHash3(&vec[i], start_degree, 0xDEADBEAF);
    }
    else
        SGVector<uint32_t>::fill_vector(val, len, 0xDEADBEAF);

    for (int32_t k=start_degree; k<lim; k++)
    {
        float64_t wd = alpha*wd_weights[k]/normalization_const;

        if (abs_val)
            wd=CMath::abs(wd);

        uint32_t o=offs;
        uint32_t carry = 0;
        uint32_t chunk = 0;

        for (int32_t i=0; i+k < len; i++)
        {
            chunk++;
            CHash::IncrementalMurmurHash3(&(val[i]), &carry, &(vec[i+k]), 1);
            uint32_t h = CHash::FinalizeIncrementalMurmurHash3(val[i], carry, chunk);

#ifdef DEBUG_HASHEDWD
            SG_PRINT("offs=%d o=%d h=%d \n", offs, o, h)
            SG_PRINT("vec[i]=%d, k=%d, offs=%d o=%d\n", vec[i], k,offs, o)
#endif
            vec2[o+(h & mask)]+=wd;
            val[i] = h;
            o+=partial_w_dim;
        }
        val[len-k-1] =
                CHash::FinalizeIncrementalMurmurHash3(val[len-k-1], carry, chunk);

        offs+=partial_w_dim*len;
    }

    SG_FREE(val);
    strings->free_feature_vector(vec, vec_idx1, free_vec1);
}

void CHashedWDFeatures::set_wd_weights()
{
    ASSERT(degree>0)

    mask=(uint32_t) (((uint64_t) 1)<<m_hash_bits)-1;
    partial_w_dim=1<<m_hash_bits;
    w_dim=partial_w_dim*string_length*(degree-start_degree);

    wd_weights=SG_MALLOC(float64_t, degree);

    for (int32_t i=0; i<degree; i++)
        wd_weights[i]=sqrt(2.0*(from_degree-i)/(from_degree*(from_degree+1)));

    SG_DEBUG("created HashedWDFeatures with d=%d (%d), alphabetsize=%d, "
            "dim=%d partial_dim=%d num=%d, len=%d\n",
            degree, from_degree, alphabet_size,
            w_dim, partial_w_dim, num_strings, string_length);
}


void CHashedWDFeatures::set_normalization_const(float64_t n)
{
    if (n==0)
    {
        normalization_const=0;
        for (int32_t i=0; i<degree; i++)
            normalization_const+=(string_length-i)*wd_weights[i]*wd_weights[i];

        normalization_const=CMath::sqrt(normalization_const);
    }
    else
        normalization_const=n;

    SG_DEBUG("normalization_const:%f\n", normalization_const)
}

CFeatures* CHashedWDFeatures::duplicate() const
{
    return new CHashedWDFeatures(*this);
}


int32_t CHashedWDFeatures::get_nnz_features_for_vector(int32_t num)
{
    int32_t vlen=-1;
    bool free_vec;
    uint8_t* vec=strings->get_feature_vector(num, vlen, free_vec);
    strings->free_feature_vector(vec, num, free_vec);
    return degree*vlen;
}

void* CHashedWDFeatures::get_feature_iterator(int32_t vector_index)
{
    SG_NOTIMPLEMENTED
    return NULL;
}

bool CHashedWDFeatures::get_next_feature(int32_t& index, float64_t& value,
        void* iterator)
{
    SG_NOTIMPLEMENTED
    return false;
}

void CHashedWDFeatures::free_feature_iterator(void* iterator)
{
    SG_NOTIMPLEMENTED
}