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Diffstat (limited to 'kaldi_io/src/tools/openfst/include/fst/random-weight.h')
| -rw-r--r-- | kaldi_io/src/tools/openfst/include/fst/random-weight.h | 348 |
1 files changed, 0 insertions, 348 deletions
diff --git a/kaldi_io/src/tools/openfst/include/fst/random-weight.h b/kaldi_io/src/tools/openfst/include/fst/random-weight.h deleted file mode 100644 index 0ccd95d..0000000 --- a/kaldi_io/src/tools/openfst/include/fst/random-weight.h +++ /dev/null @@ -1,348 +0,0 @@ -// random-weight.h - -// 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. -// -// Copyright 2005-2010 Google, Inc. -// Author: riley@google.com (Michael Riley) -// -// \file -// Function objects to generate random weights in various semirings -// for testing purposes. - -#ifndef FST_LIB_RANDOM_WEIGHT_H__ -#define FST_LIB_RANDOM_WEIGHT_H__ - -#include <cstdlib> -#include <ctime> -#include <vector> -using std::vector; - - -#include <fst/float-weight.h> -#include <fst/product-weight.h> -#include <fst/string-weight.h> -#include <fst/lexicographic-weight.h> -#include <fst/power-weight.h> -#include <fst/signed-log-weight.h> -#include <fst/sparse-power-weight.h> - - -namespace fst { - -// The boolean 'allow_zero' below determines whether Zero() and zero -// divisors should be returned in the random weight generation. - -// This function object returns TropicalWeightTpl<T>'s that are random integers -// chosen from [0, kNumRandomWeights). -template <class T> -class TropicalWeightGenerator_ { - public: - typedef TropicalWeightTpl<T> Weight; - - TropicalWeightGenerator_(int seed = time(0), bool allow_zero = true) - : allow_zero_(allow_zero) { - srand(seed); - } - - Weight operator() () const { - int n = rand() % (kNumRandomWeights + allow_zero_); - if (allow_zero_ && n == kNumRandomWeights) - return Weight::Zero(); - - return Weight(static_cast<T>(n)); - } - - private: - // The number of alternative random weights. - static const int kNumRandomWeights = 5; - - bool allow_zero_; // permit Zero() and zero divisors -}; - -template <class T> const int TropicalWeightGenerator_<T>::kNumRandomWeights; - -typedef TropicalWeightGenerator_<float> TropicalWeightGenerator; - - -// This function object returns LogWeightTpl<T>'s that are random integers -// chosen from [0, kNumRandomWeights). -template <class T> -class LogWeightGenerator_ { - public: - typedef LogWeightTpl<T> Weight; - - LogWeightGenerator_(int seed = time(0), bool allow_zero = true) - : allow_zero_(allow_zero) { - srand(seed); - } - - Weight operator() () const { - int n = rand() % (kNumRandomWeights + allow_zero_); - if (allow_zero_ && n == kNumRandomWeights) - return Weight::Zero(); - - return Weight(static_cast<T>(n)); - } - - private: - // Number of alternative random weights. - static const int kNumRandomWeights = 5; - - bool allow_zero_; // permit Zero() and zero divisors -}; - -template <class T> const int LogWeightGenerator_<T>::kNumRandomWeights; - -typedef LogWeightGenerator_<float> LogWeightGenerator; - - -// This function object returns MinMaxWeightTpl<T>'s that are random integers -// chosen from (-kNumRandomWeights, kNumRandomWeights) in addition to -// One(), and Zero() if zero is allowed. -template <class T> -class MinMaxWeightGenerator_ { - public: - typedef MinMaxWeightTpl<T> Weight; - - MinMaxWeightGenerator_(int seed = time(0), bool allow_zero = true) - : allow_zero_(allow_zero) { - srand(seed); - } - - Weight operator() () const { - int n = (rand() % (2*kNumRandomWeights + allow_zero_)) - kNumRandomWeights; - if (allow_zero_ && n == kNumRandomWeights) - return Weight::Zero(); - else if (n == -kNumRandomWeights) - return Weight::One(); - - return Weight(static_cast<T>(n)); - } - - private: - // Parameters controlling the number of alternative random weights. - static const int kNumRandomWeights = 5; - - bool allow_zero_; // permit Zero() and zero divisors -}; - -template <class T> const int MinMaxWeightGenerator_<T>::kNumRandomWeights; - -typedef MinMaxWeightGenerator_<float> MinMaxWeightGenerator; - - -// This function object returns StringWeights that are random integer -// strings chosen from {1,...,kAlphabetSize}^{0,kMaxStringLength} U { Zero } -template <typename L, StringType S = STRING_LEFT> -class StringWeightGenerator { - public: - typedef StringWeight<L, S> Weight; - - StringWeightGenerator(int seed = time(0), bool allow_zero = true) - : allow_zero_(allow_zero) { - srand(seed); - } - - Weight operator() () const { - int n = rand() % (kMaxStringLength + allow_zero_); - if (allow_zero_ && n == kMaxStringLength) - return Weight::Zero(); - - vector<L> v; - for (int i = 0; i < n; ++i) - v.push_back(rand() % kAlphabetSize + 1); - return Weight(v.begin(), v.end()); - } - - private: - // Alphabet size for random weights. - static const int kAlphabetSize = 5; - // Number of alternative random weights. - static const int kMaxStringLength = 5; - - bool allow_zero_; // permit Zero() and zero -}; - -template <typename L, StringType S> -const int StringWeightGenerator<L, S>::kAlphabetSize; -template <typename L, StringType S> -const int StringWeightGenerator<L, S>::kMaxStringLength; - - -// This function object returns a weight generator over the product of the -// weights (by default) for the generators G1 and G2. -template <class G1, class G2, - class W = ProductWeight<typename G1::Weight, typename G2::Weight> > -class ProductWeightGenerator { - public: - typedef typename G1::Weight W1; - typedef typename G2::Weight W2; - typedef W Weight; - - ProductWeightGenerator(int seed = time(0), bool allow_zero = true) - : generator1_(seed, allow_zero), generator2_(seed, allow_zero) {} - - Weight operator() () const { - W1 w1 = generator1_(); - W2 w2 = generator2_(); - return Weight(w1, w2); - } - - private: - G1 generator1_; - G2 generator2_; -}; - - -// This function object returns a weight generator for a lexicographic weight -// composed out of weights for the generators G1 and G2. For lexicographic -// weights, we cannot generate zeroes for the two subweights separately: -// weights are members iff both members are zero or both members are non-zero. -template <class G1, class G2> -class LexicographicWeightGenerator { - public: - typedef typename G1::Weight W1; - typedef typename G2::Weight W2; - typedef LexicographicWeight<W1, W2> Weight; - - LexicographicWeightGenerator(int seed = time(0), bool allow_zero = true) - : generator1_(seed, false), generator2_(seed, false), - allow_zero_(allow_zero) {} - - Weight operator() () const { - if (allow_zero_) { - int n = rand() % (kNumRandomWeights + allow_zero_); - if (n == kNumRandomWeights) - return Weight(W1::Zero(), W2::Zero()); - } - W1 w1 = generator1_(); - W2 w2 = generator2_(); - return Weight(w1, w2); - } - - private: - G1 generator1_; - G2 generator2_; - static const int kNumRandomWeights = 5; - bool allow_zero_; -}; - -template <class G1, class G2> -const int LexicographicWeightGenerator<G1, G2>::kNumRandomWeights; - - -// Product generator of a string weight generator and an -// arbitrary weight generator. -template <class L, class G, StringType S = STRING_LEFT> -class GallicWeightGenerator - : public ProductWeightGenerator<StringWeightGenerator<L, S>, G> { - - public: - typedef ProductWeightGenerator<StringWeightGenerator<L, S>, G> PG; - typedef typename G::Weight W; - typedef GallicWeight<L, W, S> Weight; - - GallicWeightGenerator(int seed = time(0), bool allow_zero = true) - : PG(seed, allow_zero) {} - - GallicWeightGenerator(const PG &pg) : PG(pg) {} -}; - -// This function object returms a weight generator over the catersian power -// of rank n of the weights for the generator G. -template <class G, unsigned int n> -class PowerWeightGenerator { - public: - typedef typename G::Weight W; - typedef PowerWeight<W, n> Weight; - - PowerWeightGenerator(int seed = time(0), bool allow_zero = true) - : generator_(seed, allow_zero) {} - - Weight operator()() const { - Weight w; - for (size_t i = 0; i < n; ++i) { - W r = generator_(); - w.SetValue(i, r); - } - return w; - } - - private: - G generator_; -}; - -// This function object returns SignedLogWeightTpl<T>'s that are -// random integers chosen from [0, kNumRandomWeights). -// The sign is randomly chosen as well. -template <class T> -class SignedLogWeightGenerator_ { - public: - typedef SignedLogWeightTpl<T> Weight; - - SignedLogWeightGenerator_(int seed = time(0), bool allow_zero = true) - : allow_zero_(allow_zero) { - srand(seed); - } - - Weight operator() () const { - int m = rand() % 2; - int n = rand() % (kNumRandomWeights + allow_zero_); - - return SignedLogWeightTpl<T>( - (m == 0) ? - TropicalWeight(-1.0) : - TropicalWeight(1.0), - (allow_zero_ && n == kNumRandomWeights) ? - LogWeightTpl<T>::Zero() : - LogWeightTpl<T>(static_cast<T>(n))); - } - - private: - // Number of alternative random weights. - static const int kNumRandomWeights = 5; - bool allow_zero_; // permit Zero() and zero divisors -}; - -template <class T> const int SignedLogWeightGenerator_<T>::kNumRandomWeights; - -typedef SignedLogWeightGenerator_<float> SignedLogWeightGenerator; - -// This function object returms a weight generator over the catersian power -// of rank n of the weights for the generator G. -template <class G, class K, unsigned int n> -class SparsePowerWeightGenerator { - public: - typedef typename G::Weight W; - typedef SparsePowerWeight<W, K> Weight; - - SparsePowerWeightGenerator(int seed = time(0), bool allow_zero = true) - : generator_(seed, allow_zero) {} - - Weight operator()() const { - Weight w; - for (size_t i = 1; i <= n; ++i) { - W r = generator_(); - K p = i; - w.Push(p, r, true); - } - return w; - } - - private: - G generator_; -}; - -} // namespace fst - -#endif // FST_LIB_RANDOM_WEIGHT_H__ |