summaryrefslogtreecommitdiff
path: root/klm/lm
diff options
context:
space:
mode:
Diffstat (limited to 'klm/lm')
-rw-r--r--klm/lm/Jamfile14
-rw-r--r--klm/lm/bhiksha.cc3
-rw-r--r--klm/lm/bhiksha.hh6
-rw-r--r--klm/lm/binary_format.cc20
-rw-r--r--klm/lm/binary_format.hh4
-rw-r--r--klm/lm/build_binary.cc18
-rw-r--r--klm/lm/fragment.cc37
-rw-r--r--klm/lm/left.hh2
-rw-r--r--klm/lm/max_order.cc6
-rw-r--r--klm/lm/max_order.hh26
-rw-r--r--klm/lm/model.cc26
-rw-r--r--klm/lm/model.hh3
-rw-r--r--klm/lm/partial.hh167
-rw-r--r--klm/lm/partial_test.cc199
-rw-r--r--klm/lm/quantize.hh12
-rw-r--r--klm/lm/read_arpa.cc34
-rw-r--r--klm/lm/search_hashed.cc2
-rw-r--r--klm/lm/search_hashed.hh8
-rw-r--r--klm/lm/search_trie.cc22
-rw-r--r--klm/lm/search_trie.hh4
-rw-r--r--klm/lm/sri_test.cc65
-rw-r--r--klm/lm/state.hh12
-rw-r--r--klm/lm/trie.cc4
-rw-r--r--klm/lm/trie.hh10
-rw-r--r--klm/lm/trie_sort.cc44
-rw-r--r--klm/lm/trie_sort.hh6
-rw-r--r--klm/lm/value.hh2
-rw-r--r--klm/lm/value_build.hh6
-rw-r--r--klm/lm/vocab.cc8
-rw-r--r--klm/lm/vocab.hh10
-rw-r--r--klm/lm/word_index.hh3
31 files changed, 584 insertions, 199 deletions
diff --git a/klm/lm/Jamfile b/klm/lm/Jamfile
deleted file mode 100644
index b1971d88..00000000
--- a/klm/lm/Jamfile
+++ /dev/null
@@ -1,14 +0,0 @@
-lib kenlm : bhiksha.cc binary_format.cc config.cc lm_exception.cc model.cc quantize.cc read_arpa.cc search_hashed.cc search_trie.cc trie.cc trie_sort.cc value_build.cc virtual_interface.cc vocab.cc ../util//kenutil : <include>.. : : <include>.. <library>../util//kenutil ;
-
-import testing ;
-
-run left_test.cc ../util//kenutil kenlm ../..//boost_unit_test_framework : : test.arpa ;
-run model_test.cc ../util//kenutil kenlm ../..//boost_unit_test_framework : : test.arpa test_nounk.arpa ;
-
-exe query : ngram_query.cc kenlm ../util//kenutil ;
-exe build_binary : build_binary.cc kenlm ../util//kenutil ;
-
-install legacy : build_binary query
- : <location>$(TOP)/klm/lm <install-type>EXE <install-dependencies>on <link>shared:<dll-path>$(TOP)/klm/lm <link>shared:<install-type>LIB ;
-
-alias programs : build_binary query ;
diff --git a/klm/lm/bhiksha.cc b/klm/lm/bhiksha.cc
index cdeafb47..088ea98d 100644
--- a/klm/lm/bhiksha.cc
+++ b/klm/lm/bhiksha.cc
@@ -1,6 +1,7 @@
#include "lm/bhiksha.hh"
#include "lm/config.hh"
#include "util/file.hh"
+#include "util/exception.hh"
#include <limits>
@@ -49,7 +50,7 @@ std::size_t ArrayCount(uint64_t max_offset, uint64_t max_next, const Config &con
}
} // namespace
-std::size_t ArrayBhiksha::Size(uint64_t max_offset, uint64_t max_next, const Config &config) {
+uint64_t ArrayBhiksha::Size(uint64_t max_offset, uint64_t max_next, const Config &config) {
return sizeof(uint64_t) * (1 /* header */ + ArrayCount(max_offset, max_next, config)) + 7 /* 8-byte alignment */;
}
diff --git a/klm/lm/bhiksha.hh b/klm/lm/bhiksha.hh
index 5182ee2e..8ff88654 100644
--- a/klm/lm/bhiksha.hh
+++ b/klm/lm/bhiksha.hh
@@ -23,7 +23,7 @@
namespace lm {
namespace ngram {
-class Config;
+struct Config;
namespace trie {
@@ -33,7 +33,7 @@ class DontBhiksha {
static void UpdateConfigFromBinary(int /*fd*/, Config &/*config*/) {}
- static std::size_t Size(uint64_t /*max_offset*/, uint64_t /*max_next*/, const Config &/*config*/) { return 0; }
+ static uint64_t Size(uint64_t /*max_offset*/, uint64_t /*max_next*/, const Config &/*config*/) { return 0; }
static uint8_t InlineBits(uint64_t /*max_offset*/, uint64_t max_next, const Config &/*config*/) {
return util::RequiredBits(max_next);
@@ -67,7 +67,7 @@ class ArrayBhiksha {
static void UpdateConfigFromBinary(int fd, Config &config);
- static std::size_t Size(uint64_t max_offset, uint64_t max_next, const Config &config);
+ static uint64_t Size(uint64_t max_offset, uint64_t max_next, const Config &config);
static uint8_t InlineBits(uint64_t max_offset, uint64_t max_next, const Config &config);
diff --git a/klm/lm/binary_format.cc b/klm/lm/binary_format.cc
index a56e998e..efa67056 100644
--- a/klm/lm/binary_format.cc
+++ b/klm/lm/binary_format.cc
@@ -83,7 +83,13 @@ void WriteHeader(void *to, const Parameters &params) {
uint8_t *SetupJustVocab(const Config &config, uint8_t order, std::size_t memory_size, Backing &backing) {
if (config.write_mmap) {
std::size_t total = TotalHeaderSize(order) + memory_size;
- backing.vocab.reset(util::MapZeroedWrite(config.write_mmap, total, backing.file), total, util::scoped_memory::MMAP_ALLOCATED);
+ backing.file.reset(util::CreateOrThrow(config.write_mmap));
+ if (config.write_method == Config::WRITE_MMAP) {
+ backing.vocab.reset(util::MapZeroedWrite(backing.file.get(), total), total, util::scoped_memory::MMAP_ALLOCATED);
+ } else {
+ util::ResizeOrThrow(backing.file.get(), 0);
+ util::MapAnonymous(total, backing.vocab);
+ }
strncpy(reinterpret_cast<char*>(backing.vocab.get()), kMagicIncomplete, TotalHeaderSize(order));
return reinterpret_cast<uint8_t*>(backing.vocab.get()) + TotalHeaderSize(order);
} else {
@@ -121,12 +127,14 @@ uint8_t *GrowForSearch(const Config &config, std::size_t vocab_pad, std::size_t
void FinishFile(const Config &config, ModelType model_type, unsigned int search_version, const std::vector<uint64_t> &counts, std::size_t vocab_pad, Backing &backing) {
if (!config.write_mmap) return;
- util::SyncOrThrow(backing.vocab.get(), backing.vocab.size());
switch (config.write_method) {
case Config::WRITE_MMAP:
+ util::SyncOrThrow(backing.vocab.get(), backing.vocab.size());
util::SyncOrThrow(backing.search.get(), backing.search.size());
break;
case Config::WRITE_AFTER:
+ util::SeekOrThrow(backing.file.get(), 0);
+ util::WriteOrThrow(backing.file.get(), backing.vocab.get(), backing.vocab.size());
util::SeekOrThrow(backing.file.get(), backing.vocab.size() + vocab_pad);
util::WriteOrThrow(backing.file.get(), backing.search.get(), backing.search.size());
util::FSyncOrThrow(backing.file.get());
@@ -141,6 +149,10 @@ void FinishFile(const Config &config, ModelType model_type, unsigned int search_
params.fixed.has_vocabulary = config.include_vocab;
params.fixed.search_version = search_version;
WriteHeader(backing.vocab.get(), params);
+ if (config.write_method == Config::WRITE_AFTER) {
+ util::SeekOrThrow(backing.file.get(), 0);
+ util::WriteOrThrow(backing.file.get(), backing.vocab.get(), TotalHeaderSize(counts.size()));
+ }
}
namespace detail {
@@ -200,10 +212,10 @@ void SeekPastHeader(int fd, const Parameters &params) {
util::SeekOrThrow(fd, TotalHeaderSize(params.counts.size()));
}
-uint8_t *SetupBinary(const Config &config, const Parameters &params, std::size_t memory_size, Backing &backing) {
+uint8_t *SetupBinary(const Config &config, const Parameters &params, uint64_t memory_size, Backing &backing) {
const uint64_t file_size = util::SizeFile(backing.file.get());
// The header is smaller than a page, so we have to map the whole header as well.
- std::size_t total_map = TotalHeaderSize(params.counts.size()) + memory_size;
+ std::size_t total_map = util::CheckOverflow(TotalHeaderSize(params.counts.size()) + memory_size);
if (file_size != util::kBadSize && static_cast<uint64_t>(file_size) < total_map)
UTIL_THROW(FormatLoadException, "Binary file has size " << file_size << " but the headers say it should be at least " << total_map);
diff --git a/klm/lm/binary_format.hh b/klm/lm/binary_format.hh
index dd795f62..bf699d5f 100644
--- a/klm/lm/binary_format.hh
+++ b/klm/lm/binary_format.hh
@@ -70,7 +70,7 @@ void MatchCheck(ModelType model_type, unsigned int search_version, const Paramet
void SeekPastHeader(int fd, const Parameters &params);
-uint8_t *SetupBinary(const Config &config, const Parameters &params, std::size_t memory_size, Backing &backing);
+uint8_t *SetupBinary(const Config &config, const Parameters &params, uint64_t memory_size, Backing &backing);
void ComplainAboutARPA(const Config &config, ModelType model_type);
@@ -90,7 +90,7 @@ template <class To> void LoadLM(const char *file, const Config &config, To &to)
new_config.probing_multiplier = params.fixed.probing_multiplier;
detail::SeekPastHeader(backing.file.get(), params);
To::UpdateConfigFromBinary(backing.file.get(), params.counts, new_config);
- std::size_t memory_size = To::Size(params.counts, new_config);
+ uint64_t memory_size = To::Size(params.counts, new_config);
uint8_t *start = detail::SetupBinary(new_config, params, memory_size, backing);
to.InitializeFromBinary(start, params, new_config, backing.file.get());
} else {
diff --git a/klm/lm/build_binary.cc b/klm/lm/build_binary.cc
index c4a01cb4..2b8c9d5b 100644
--- a/klm/lm/build_binary.cc
+++ b/klm/lm/build_binary.cc
@@ -11,6 +11,8 @@
#ifdef WIN32
#include "util/getopt.hh"
+#else
+#include <unistd.h>
#endif
namespace lm {
@@ -25,7 +27,11 @@ void Usage(const char *name) {
"-i allows buggy models from IRSTLM by mapping positive log probability to 0.\n"
"-w mmap|after determines how writing is done.\n"
" mmap maps the binary file and writes to it. Default for trie.\n"
-" after allocates anonymous memory, builds, and writes. Default for probing.\n\n"
+" after allocates anonymous memory, builds, and writes. Default for probing.\n"
+"-r \"order1.arpa order2 order3 order4\" adds lower-order rest costs from these\n"
+" model files. order1.arpa must be an ARPA file. All others may be ARPA or\n"
+" the same data structure as being built. All files must have the same\n"
+" vocabulary. For probing, the unigrams must be in the same order.\n\n"
"type is either probing or trie. Default is probing.\n\n"
"probing uses a probing hash table. It is the fastest but uses the most memory.\n"
"-p sets the space multiplier and must be >1.0. The default is 1.5.\n\n"
@@ -81,16 +87,16 @@ void ShowSizes(const char *file, const lm::ngram::Config &config) {
std::vector<uint64_t> counts;
util::FilePiece f(file);
lm::ReadARPACounts(f, counts);
- std::size_t sizes[6];
+ uint64_t sizes[6];
sizes[0] = ProbingModel::Size(counts, config);
sizes[1] = RestProbingModel::Size(counts, config);
sizes[2] = TrieModel::Size(counts, config);
sizes[3] = QuantTrieModel::Size(counts, config);
sizes[4] = ArrayTrieModel::Size(counts, config);
sizes[5] = QuantArrayTrieModel::Size(counts, config);
- std::size_t max_length = *std::max_element(sizes, sizes + sizeof(sizes) / sizeof(size_t));
- std::size_t min_length = *std::min_element(sizes, sizes + sizeof(sizes) / sizeof(size_t));
- std::size_t divide;
+ uint64_t max_length = *std::max_element(sizes, sizes + sizeof(sizes) / sizeof(uint64_t));
+ uint64_t min_length = *std::min_element(sizes, sizes + sizeof(sizes) / sizeof(uint64_t));
+ uint64_t divide;
char prefix;
if (min_length < (1 << 10) * 10) {
prefix = ' ';
@@ -111,7 +117,7 @@ void ShowSizes(const char *file, const lm::ngram::Config &config) {
for (long int i = 0; i < length - 2; ++i) std::cout << ' ';
std::cout << prefix << "B\n"
"probing " << std::setw(length) << (sizes[0] / divide) << " assuming -p " << config.probing_multiplier << "\n"
- "probing " << std::setw(length) << (sizes[1] / divide) << " assuming -r -p " << config.probing_multiplier << "\n"
+ "probing " << std::setw(length) << (sizes[1] / divide) << " assuming -r models -p " << config.probing_multiplier << "\n"
"trie " << std::setw(length) << (sizes[2] / divide) << " without quantization\n"
"trie " << std::setw(length) << (sizes[3] / divide) << " assuming -q " << (unsigned)config.prob_bits << " -b " << (unsigned)config.backoff_bits << " quantization \n"
"trie " << std::setw(length) << (sizes[4] / divide) << " assuming -a " << (unsigned)config.pointer_bhiksha_bits << " array pointer compression\n"
diff --git a/klm/lm/fragment.cc b/klm/lm/fragment.cc
new file mode 100644
index 00000000..0267cd4e
--- /dev/null
+++ b/klm/lm/fragment.cc
@@ -0,0 +1,37 @@
+#include "lm/binary_format.hh"
+#include "lm/model.hh"
+#include "lm/left.hh"
+#include "util/tokenize_piece.hh"
+
+template <class Model> void Query(const char *name) {
+ Model model(name);
+ std::string line;
+ lm::ngram::ChartState ignored;
+ while (getline(std::cin, line)) {
+ lm::ngram::RuleScore<Model> scorer(model, ignored);
+ for (util::TokenIter<util::SingleCharacter, true> i(line, ' '); i; ++i) {
+ scorer.Terminal(model.GetVocabulary().Index(*i));
+ }
+ std::cout << scorer.Finish() << '\n';
+ }
+}
+
+int main(int argc, char *argv[]) {
+ if (argc != 2) {
+ std::cerr << "Expected model file name." << std::endl;
+ return 1;
+ }
+ const char *name = argv[1];
+ lm::ngram::ModelType model_type = lm::ngram::PROBING;
+ lm::ngram::RecognizeBinary(name, model_type);
+ switch (model_type) {
+ case lm::ngram::PROBING:
+ Query<lm::ngram::ProbingModel>(name);
+ break;
+ case lm::ngram::REST_PROBING:
+ Query<lm::ngram::RestProbingModel>(name);
+ break;
+ default:
+ std::cerr << "Model type not supported yet." << std::endl;
+ }
+}
diff --git a/klm/lm/left.hh b/klm/lm/left.hh
index c00af88a..8c27232e 100644
--- a/klm/lm/left.hh
+++ b/klm/lm/left.hh
@@ -111,7 +111,7 @@ template <class M> class RuleScore {
return;
}
- float backoffs[kMaxOrder - 1], backoffs2[kMaxOrder - 1];
+ float backoffs[KENLM_MAX_ORDER - 1], backoffs2[KENLM_MAX_ORDER - 1];
float *back = backoffs, *back2 = backoffs2;
unsigned char next_use = out_.right.length;
diff --git a/klm/lm/max_order.cc b/klm/lm/max_order.cc
new file mode 100644
index 00000000..94221201
--- /dev/null
+++ b/klm/lm/max_order.cc
@@ -0,0 +1,6 @@
+#include "lm/max_order.hh"
+#include <iostream>
+
+int main(int argc, char *argv[]) {
+ std::cerr << "KenLM was compiled with a maximum supported n-gram order set to " << KENLM_MAX_ORDER << "." << std::endl;
+}
diff --git a/klm/lm/max_order.hh b/klm/lm/max_order.hh
index aff9de27..989f8324 100644
--- a/klm/lm/max_order.hh
+++ b/klm/lm/max_order.hh
@@ -1,14 +1,12 @@
-#ifndef LM_MAX_ORDER__
-#define LM_MAX_ORDER__
-namespace lm {
-namespace ngram {
-// If you need higher order, change this and recompile.
-// Having this limit means that State can be
-// (kMaxOrder - 1) * sizeof(float) bytes instead of
-// sizeof(float*) + (kMaxOrder - 1) * sizeof(float) + malloc overhead
-const unsigned char kMaxOrder = 5;
-
-} // namespace ngram
-} // namespace lm
-
-#endif // LM_MAX_ORDER__
+/* IF YOUR BUILD SYSTEM PASSES -DKENLM_MAX_ORDER, THEN CHANGE THE BUILD SYSTEM.
+ * If not, this is the default maximum order.
+ * Having this limit means that State can be
+ * (kMaxOrder - 1) * sizeof(float) bytes instead of
+ * sizeof(float*) + (kMaxOrder - 1) * sizeof(float) + malloc overhead
+ */
+#ifndef KENLM_MAX_ORDER
+#define KENLM_MAX_ORDER 6
+#endif
+#ifndef KENLM_ORDER_MESSAGE
+#define KENLM_ORDER_MESSAGE "If your build system supports changing KENLM_MAX_ORDER, change it there and recompile. In the KenLM tarball or Moses, use e.g. `bjam --kenlm-max-order=6 -a'. Otherwise, edit lm/max_order.hh."
+#endif
diff --git a/klm/lm/model.cc b/klm/lm/model.cc
index a2d31ce0..2fd20481 100644
--- a/klm/lm/model.cc
+++ b/klm/lm/model.cc
@@ -5,12 +5,14 @@
#include "lm/search_hashed.hh"
#include "lm/search_trie.hh"
#include "lm/read_arpa.hh"
+#include "util/have.hh"
#include "util/murmur_hash.hh"
#include <algorithm>
#include <functional>
#include <numeric>
#include <cmath>
+#include <limits>
namespace lm {
namespace ngram {
@@ -18,17 +20,18 @@ namespace detail {
template <class Search, class VocabularyT> const ModelType GenericModel<Search, VocabularyT>::kModelType = Search::kModelType;
-template <class Search, class VocabularyT> size_t GenericModel<Search, VocabularyT>::Size(const std::vector<uint64_t> &counts, const Config &config) {
+template <class Search, class VocabularyT> uint64_t GenericModel<Search, VocabularyT>::Size(const std::vector<uint64_t> &counts, const Config &config) {
return VocabularyT::Size(counts[0], config) + Search::Size(counts, config);
}
template <class Search, class VocabularyT> void GenericModel<Search, VocabularyT>::SetupMemory(void *base, const std::vector<uint64_t> &counts, const Config &config) {
+ size_t goal_size = util::CheckOverflow(Size(counts, config));
uint8_t *start = static_cast<uint8_t*>(base);
size_t allocated = VocabularyT::Size(counts[0], config);
vocab_.SetupMemory(start, allocated, counts[0], config);
start += allocated;
start = search_.SetupMemory(start, counts, config);
- if (static_cast<std::size_t>(start - static_cast<uint8_t*>(base)) != Size(counts, config)) UTIL_THROW(FormatLoadException, "The data structures took " << (start - static_cast<uint8_t*>(base)) << " but Size says they should take " << Size(counts, config));
+ if (static_cast<std::size_t>(start - static_cast<uint8_t*>(base)) != goal_size) UTIL_THROW(FormatLoadException, "The data structures took " << (start - static_cast<uint8_t*>(base)) << " but Size says they should take " << goal_size);
}
template <class Search, class VocabularyT> GenericModel<Search, VocabularyT>::GenericModel(const char *file, const Config &config) {
@@ -47,7 +50,19 @@ template <class Search, class VocabularyT> GenericModel<Search, VocabularyT>::Ge
P::Init(begin_sentence, null_context, vocab_, search_.Order());
}
+namespace {
+void CheckCounts(const std::vector<uint64_t> &counts) {
+ UTIL_THROW_IF(counts.size() > KENLM_MAX_ORDER, FormatLoadException, "This model has order " << counts.size() << " but KenLM was compiled to support up to " << KENLM_MAX_ORDER << ". " << KENLM_ORDER_MESSAGE);
+ if (sizeof(uint64_t) > sizeof(std::size_t)) {
+ for (std::vector<uint64_t>::const_iterator i = counts.begin(); i != counts.end(); ++i) {
+ UTIL_THROW_IF(*i > static_cast<uint64_t>(std::numeric_limits<size_t>::max()), util::OverflowException, "This model has " << *i << " " << (i - counts.begin() + 1) << "-grams which is too many for 32-bit machines.");
+ }
+ }
+}
+} // namespace
+
template <class Search, class VocabularyT> void GenericModel<Search, VocabularyT>::InitializeFromBinary(void *start, const Parameters &params, const Config &config, int fd) {
+ CheckCounts(params.counts);
SetupMemory(start, params.counts, config);
vocab_.LoadedBinary(params.fixed.has_vocabulary, fd, config.enumerate_vocab);
search_.LoadedBinary();
@@ -60,12 +75,11 @@ template <class Search, class VocabularyT> void GenericModel<Search, VocabularyT
std::vector<uint64_t> counts;
// File counts do not include pruned trigrams that extend to quadgrams etc. These will be fixed by search_.
ReadARPACounts(f, counts);
-
- if (counts.size() > kMaxOrder) UTIL_THROW(FormatLoadException, "This model has order " << counts.size() << ". Edit lm/max_order.hh, set kMaxOrder to at least this value, and recompile.");
+ CheckCounts(counts);
if (counts.size() < 2) UTIL_THROW(FormatLoadException, "This ngram implementation assumes at least a bigram model.");
if (config.probing_multiplier <= 1.0) UTIL_THROW(ConfigException, "probing multiplier must be > 1.0");
- std::size_t vocab_size = VocabularyT::Size(counts[0], config);
+ std::size_t vocab_size = util::CheckOverflow(VocabularyT::Size(counts[0], config));
// Setup the binary file for writing the vocab lookup table. The search_ is responsible for growing the binary file to its needs.
vocab_.SetupMemory(SetupJustVocab(config, counts.size(), vocab_size, backing_), vocab_size, counts[0], config);
@@ -73,7 +87,7 @@ template <class Search, class VocabularyT> void GenericModel<Search, VocabularyT
WriteWordsWrapper wrap(config.enumerate_vocab);
vocab_.ConfigureEnumerate(&wrap, counts[0]);
search_.InitializeFromARPA(file, f, counts, config, vocab_, backing_);
- wrap.Write(backing_.file.get());
+ wrap.Write(backing_.file.get(), backing_.vocab.size() + vocab_.UnkCountChangePadding() + backing_.search.size());
} else {
vocab_.ConfigureEnumerate(config.enumerate_vocab, counts[0]);
search_.InitializeFromARPA(file, f, counts, config, vocab_, backing_);
diff --git a/klm/lm/model.hh b/klm/lm/model.hh
index be872178..13ff864e 100644
--- a/klm/lm/model.hh
+++ b/klm/lm/model.hh
@@ -5,7 +5,6 @@
#include "lm/binary_format.hh"
#include "lm/config.hh"
#include "lm/facade.hh"
-#include "lm/max_order.hh"
#include "lm/quantize.hh"
#include "lm/search_hashed.hh"
#include "lm/search_trie.hh"
@@ -42,7 +41,7 @@ template <class Search, class VocabularyT> class GenericModel : public base::Mod
* does not include small non-mapped control structures, such as this class
* itself.
*/
- static size_t Size(const std::vector<uint64_t> &counts, const Config &config = Config());
+ static uint64_t Size(const std::vector<uint64_t> &counts, const Config &config = Config());
/* Load the model from a file. It may be an ARPA or binary file. Binary
* files must have the format expected by this class or you'll get an
diff --git a/klm/lm/partial.hh b/klm/lm/partial.hh
new file mode 100644
index 00000000..1dede359
--- /dev/null
+++ b/klm/lm/partial.hh
@@ -0,0 +1,167 @@
+#ifndef LM_PARTIAL__
+#define LM_PARTIAL__
+
+#include "lm/return.hh"
+#include "lm/state.hh"
+
+#include <algorithm>
+
+#include <assert.h>
+
+namespace lm {
+namespace ngram {
+
+struct ExtendReturn {
+ float adjust;
+ bool make_full;
+ unsigned char next_use;
+};
+
+template <class Model> ExtendReturn ExtendLoop(
+ const Model &model,
+ unsigned char seen, const WordIndex *add_rbegin, const WordIndex *add_rend, const float *backoff_start,
+ const uint64_t *pointers, const uint64_t *pointers_end,
+ uint64_t *&pointers_write,
+ float *backoff_write) {
+ unsigned char add_length = add_rend - add_rbegin;
+
+ float backoff_buf[2][KENLM_MAX_ORDER - 1];
+ float *backoff_in = backoff_buf[0], *backoff_out = backoff_buf[1];
+ std::copy(backoff_start, backoff_start + add_length, backoff_in);
+
+ ExtendReturn value;
+ value.make_full = false;
+ value.adjust = 0.0;
+ value.next_use = add_length;
+
+ unsigned char i = 0;
+ unsigned char length = pointers_end - pointers;
+ // pointers_write is NULL means that the existing left state is full, so we should use completed probabilities.
+ if (pointers_write) {
+ // Using full context, writing to new left state.
+ for (; i < length; ++i) {
+ FullScoreReturn ret(model.ExtendLeft(
+ add_rbegin, add_rbegin + value.next_use,
+ backoff_in,
+ pointers[i], i + seen + 1,
+ backoff_out,
+ value.next_use));
+ std::swap(backoff_in, backoff_out);
+ if (ret.independent_left) {
+ value.adjust += ret.prob;
+ value.make_full = true;
+ ++i;
+ break;
+ }
+ value.adjust += ret.rest;
+ *pointers_write++ = ret.extend_left;
+ if (value.next_use != add_length) {
+ value.make_full = true;
+ ++i;
+ break;
+ }
+ }
+ }
+ // Using some of the new context.
+ for (; i < length && value.next_use; ++i) {
+ FullScoreReturn ret(model.ExtendLeft(
+ add_rbegin, add_rbegin + value.next_use,
+ backoff_in,
+ pointers[i], i + seen + 1,
+ backoff_out,
+ value.next_use));
+ std::swap(backoff_in, backoff_out);
+ value.adjust += ret.prob;
+ }
+ float unrest = model.UnRest(pointers + i, pointers_end, i + seen + 1);
+ // Using none of the new context.
+ value.adjust += unrest;
+
+ std::copy(backoff_in, backoff_in + value.next_use, backoff_write);
+ return value;
+}
+
+template <class Model> float RevealBefore(const Model &model, const Right &reveal, const unsigned char seen, bool reveal_full, Left &left, Right &right) {
+ assert(seen < reveal.length || reveal_full);
+ uint64_t *pointers_write = reveal_full ? NULL : left.pointers;
+ float backoff_buffer[KENLM_MAX_ORDER - 1];
+ ExtendReturn value(ExtendLoop(
+ model,
+ seen, reveal.words + seen, reveal.words + reveal.length, reveal.backoff + seen,
+ left.pointers, left.pointers + left.length,
+ pointers_write,
+ left.full ? backoff_buffer : (right.backoff + right.length)));
+ if (reveal_full) {
+ left.length = 0;
+ value.make_full = true;
+ } else {
+ left.length = pointers_write - left.pointers;
+ value.make_full |= (left.length == model.Order() - 1);
+ }
+ if (left.full) {
+ for (unsigned char i = 0; i < value.next_use; ++i) value.adjust += backoff_buffer[i];
+ } else {
+ // If left wasn't full when it came in, put words into right state.
+ std::copy(reveal.words + seen, reveal.words + seen + value.next_use, right.words + right.length);
+ right.length += value.next_use;
+ left.full = value.make_full || (right.length == model.Order() - 1);
+ }
+ return value.adjust;
+}
+
+template <class Model> float RevealAfter(const Model &model, Left &left, Right &right, const Left &reveal, unsigned char seen) {
+ assert(seen < reveal.length || reveal.full);
+ uint64_t *pointers_write = left.full ? NULL : (left.pointers + left.length);
+ ExtendReturn value(ExtendLoop(
+ model,
+ seen, right.words, right.words + right.length, right.backoff,
+ reveal.pointers + seen, reveal.pointers + reveal.length,
+ pointers_write,
+ right.backoff));
+ if (reveal.full) {
+ for (unsigned char i = 0; i < value.next_use; ++i) value.adjust += right.backoff[i];
+ right.length = 0;
+ value.make_full = true;
+ } else {
+ right.length = value.next_use;
+ value.make_full |= (right.length == model.Order() - 1);
+ }
+ if (!left.full) {
+ left.length = pointers_write - left.pointers;
+ left.full = value.make_full || (left.length == model.Order() - 1);
+ }
+ return value.adjust;
+}
+
+template <class Model> float Subsume(const Model &model, Left &first_left, const Right &first_right, const Left &second_left, Right &second_right, const unsigned int between_length) {
+ assert(first_right.length < KENLM_MAX_ORDER);
+ assert(second_left.length < KENLM_MAX_ORDER);
+ assert(between_length < KENLM_MAX_ORDER - 1);
+ uint64_t *pointers_write = first_left.full ? NULL : (first_left.pointers + first_left.length);
+ float backoff_buffer[KENLM_MAX_ORDER - 1];
+ ExtendReturn value(ExtendLoop(
+ model,
+ between_length, first_right.words, first_right.words + first_right.length, first_right.backoff,
+ second_left.pointers, second_left.pointers + second_left.length,
+ pointers_write,
+ second_left.full ? backoff_buffer : (second_right.backoff + second_right.length)));
+ if (second_left.full) {
+ for (unsigned char i = 0; i < value.next_use; ++i) value.adjust += backoff_buffer[i];
+ } else {
+ std::copy(first_right.words, first_right.words + value.next_use, second_right.words + second_right.length);
+ second_right.length += value.next_use;
+ value.make_full |= (second_right.length == model.Order() - 1);
+ }
+ if (!first_left.full) {
+ first_left.length = pointers_write - first_left.pointers;
+ first_left.full = value.make_full || second_left.full || (first_left.length == model.Order() - 1);
+ }
+ assert(first_left.length < KENLM_MAX_ORDER);
+ assert(second_right.length < KENLM_MAX_ORDER);
+ return value.adjust;
+}
+
+} // namespace ngram
+} // namespace lm
+
+#endif // LM_PARTIAL__
diff --git a/klm/lm/partial_test.cc b/klm/lm/partial_test.cc
new file mode 100644
index 00000000..8d309c85
--- /dev/null
+++ b/klm/lm/partial_test.cc
@@ -0,0 +1,199 @@
+#include "lm/partial.hh"
+
+#include "lm/left.hh"
+#include "lm/model.hh"
+#include "util/tokenize_piece.hh"
+
+#define BOOST_TEST_MODULE PartialTest
+#include <boost/test/unit_test.hpp>
+#include <boost/test/floating_point_comparison.hpp>
+
+namespace lm {
+namespace ngram {
+namespace {
+
+const char *TestLocation() {
+ if (boost::unit_test::framework::master_test_suite().argc < 2) {
+ return "test.arpa";
+ }
+ return boost::unit_test::framework::master_test_suite().argv[1];
+}
+
+Config SilentConfig() {
+ Config config;
+ config.arpa_complain = Config::NONE;
+ config.messages = NULL;
+ return config;
+}
+
+struct ModelFixture {
+ ModelFixture() : m(TestLocation(), SilentConfig()) {}
+
+ RestProbingModel m;
+};
+
+BOOST_FIXTURE_TEST_SUITE(suite, ModelFixture)
+
+BOOST_AUTO_TEST_CASE(SimpleBefore) {
+ Left left;
+ left.full = false;
+ left.length = 0;
+ Right right;
+ right.length = 0;
+
+ Right reveal;
+ reveal.length = 1;
+ WordIndex period = m.GetVocabulary().Index(".");
+ reveal.words[0] = period;
+ reveal.backoff[0] = -0.845098;
+
+ BOOST_CHECK_CLOSE(0.0, RevealBefore(m, reveal, 0, false, left, right), 0.001);
+ BOOST_CHECK_EQUAL(0, left.length);
+ BOOST_CHECK(!left.full);
+ BOOST_CHECK_EQUAL(1, right.length);
+ BOOST_CHECK_EQUAL(period, right.words[0]);
+ BOOST_CHECK_CLOSE(-0.845098, right.backoff[0], 0.001);
+
+ WordIndex more = m.GetVocabulary().Index("more");
+ reveal.words[1] = more;
+ reveal.backoff[1] = -0.4771212;
+ reveal.length = 2;
+ BOOST_CHECK_CLOSE(0.0, RevealBefore(m, reveal, 1, false, left, right), 0.001);
+ BOOST_CHECK_EQUAL(0, left.length);
+ BOOST_CHECK(!left.full);
+ BOOST_CHECK_EQUAL(2, right.length);
+ BOOST_CHECK_EQUAL(period, right.words[0]);
+ BOOST_CHECK_EQUAL(more, right.words[1]);
+ BOOST_CHECK_CLOSE(-0.845098, right.backoff[0], 0.001);
+ BOOST_CHECK_CLOSE(-0.4771212, right.backoff[1], 0.001);
+}
+
+BOOST_AUTO_TEST_CASE(AlsoWouldConsider) {
+ WordIndex would = m.GetVocabulary().Index("would");
+ WordIndex consider = m.GetVocabulary().Index("consider");
+
+ ChartState current;
+ current.left.length = 1;
+ current.left.pointers[0] = would;
+ current.left.full = false;
+ current.right.length = 1;
+ current.right.words[0] = would;
+ current.right.backoff[0] = -0.30103;
+
+ Left after;
+ after.full = false;
+ after.length = 1;
+ after.pointers[0] = consider;
+
+ // adjustment for would consider
+ BOOST_CHECK_CLOSE(-1.687872 - -0.2922095 - 0.30103, RevealAfter(m, current.left, current.right, after, 0), 0.001);
+
+ BOOST_CHECK_EQUAL(2, current.left.length);
+ BOOST_CHECK_EQUAL(would, current.left.pointers[0]);
+ BOOST_CHECK_EQUAL(false, current.left.full);
+
+ WordIndex also = m.GetVocabulary().Index("also");
+ Right before;
+ before.length = 1;
+ before.words[0] = also;
+ before.backoff[0] = -0.30103;
+ // r(would) = -0.2922095 [i would], r(would -> consider) = -1.988902 [b(would) + p(consider)]
+ // p(also -> would) = -2, p(also would -> consider) = -3
+ BOOST_CHECK_CLOSE(-2 + 0.2922095 -3 + 1.988902, RevealBefore(m, before, 0, false, current.left, current.right), 0.001);
+ BOOST_CHECK_EQUAL(0, current.left.length);
+ BOOST_CHECK(current.left.full);
+ BOOST_CHECK_EQUAL(2, current.right.length);
+ BOOST_CHECK_EQUAL(would, current.right.words[0]);
+ BOOST_CHECK_EQUAL(also, current.right.words[1]);
+}
+
+BOOST_AUTO_TEST_CASE(EndSentence) {
+ WordIndex loin = m.GetVocabulary().Index("loin");
+ WordIndex period = m.GetVocabulary().Index(".");
+ WordIndex eos = m.GetVocabulary().EndSentence();
+
+ ChartState between;
+ between.left.length = 1;
+ between.left.pointers[0] = eos;
+ between.left.full = true;
+ between.right.length = 0;
+
+ Right before;
+ before.words[0] = period;
+ before.words[1] = loin;
+ before.backoff[0] = -0.845098;
+ before.backoff[1] = 0.0;
+
+ before.length = 1;
+ BOOST_CHECK_CLOSE(-0.0410707, RevealBefore(m, before, 0, true, between.left, between.right), 0.001);
+ BOOST_CHECK_EQUAL(0, between.left.length);
+}
+
+float ScoreFragment(const RestProbingModel &model, unsigned int *begin, unsigned int *end, ChartState &out) {
+ RuleScore<RestProbingModel> scorer(model, out);
+ for (unsigned int *i = begin; i < end; ++i) {
+ scorer.Terminal(*i);
+ }
+ return scorer.Finish();
+}
+
+void CheckAdjustment(const RestProbingModel &model, float expect, const Right &before_in, bool before_full, ChartState between, const Left &after_in) {
+ Right before(before_in);
+ Left after(after_in);
+ after.full = false;
+ float got = 0.0;
+ for (unsigned int i = 1; i < 5; ++i) {
+ if (before_in.length >= i) {
+ before.length = i;
+ got += RevealBefore(model, before, i - 1, false, between.left, between.right);
+ }
+ if (after_in.length >= i) {
+ after.length = i;
+ got += RevealAfter(model, between.left, between.right, after, i - 1);
+ }
+ }
+ if (after_in.full) {
+ after.full = true;
+ got += RevealAfter(model, between.left, between.right, after, after.length);
+ }
+ if (before_full) {
+ got += RevealBefore(model, before, before.length, true, between.left, between.right);
+ }
+ // Sometimes they're zero and BOOST_CHECK_CLOSE fails for this.
+ BOOST_CHECK(fabs(expect - got) < 0.001);
+}
+
+void FullDivide(const RestProbingModel &model, StringPiece str) {
+ std::vector<WordIndex> indices;
+ for (util::TokenIter<util::SingleCharacter, true> i(str, ' '); i; ++i) {
+ indices.push_back(model.GetVocabulary().Index(*i));
+ }
+ ChartState full_state;
+ float full = ScoreFragment(model, &indices.front(), &indices.back() + 1, full_state);
+
+ ChartState before_state;
+ before_state.left.full = false;
+ RuleScore<RestProbingModel> before_scorer(model, before_state);
+ float before_score = 0.0;
+ for (unsigned int before = 0; before < indices.size(); ++before) {
+ for (unsigned int after = before; after <= indices.size(); ++after) {
+ ChartState after_state, between_state;
+ float after_score = ScoreFragment(model, &indices.front() + after, &indices.front() + indices.size(), after_state);
+ float between_score = ScoreFragment(model, &indices.front() + before, &indices.front() + after, between_state);
+ CheckAdjustment(model, full - before_score - after_score - between_score, before_state.right, before_state.left.full, between_state, after_state.left);
+ }
+ before_scorer.Terminal(indices[before]);
+ before_score = before_scorer.Finish();
+ }
+}
+
+BOOST_AUTO_TEST_CASE(Strings) {
+ FullDivide(m, "also would consider");
+ FullDivide(m, "looking on a little more loin . </s>");
+ FullDivide(m, "in biarritz watching considering looking . on a little more loin also would consider higher to look good unknown the screening foo bar , unknown however unknown </s>");
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+} // namespace
+} // namespace ngram
+} // namespace lm
diff --git a/klm/lm/quantize.hh b/klm/lm/quantize.hh
index 3e9153e3..8ce2378a 100644
--- a/klm/lm/quantize.hh
+++ b/klm/lm/quantize.hh
@@ -17,14 +17,14 @@
namespace lm {
namespace ngram {
-class Config;
+struct Config;
/* Store values directly and don't quantize. */
class DontQuantize {
public:
static const ModelType kModelTypeAdd = static_cast<ModelType>(0);
static void UpdateConfigFromBinary(int, const std::vector<uint64_t> &, Config &) {}
- static std::size_t Size(uint8_t /*order*/, const Config &/*config*/) { return 0; }
+ static uint64_t Size(uint8_t /*order*/, const Config &/*config*/) { return 0; }
static uint8_t MiddleBits(const Config &/*config*/) { return 63; }
static uint8_t LongestBits(const Config &/*config*/) { return 31; }
@@ -138,9 +138,9 @@ class SeparatelyQuantize {
static void UpdateConfigFromBinary(int fd, const std::vector<uint64_t> &counts, Config &config);
- static std::size_t Size(uint8_t order, const Config &config) {
- size_t longest_table = (static_cast<size_t>(1) << static_cast<size_t>(config.prob_bits)) * sizeof(float);
- size_t middle_table = (static_cast<size_t>(1) << static_cast<size_t>(config.backoff_bits)) * sizeof(float) + longest_table;
+ static uint64_t Size(uint8_t order, const Config &config) {
+ uint64_t longest_table = (static_cast<uint64_t>(1) << static_cast<uint64_t>(config.prob_bits)) * sizeof(float);
+ uint64_t middle_table = (static_cast<uint64_t>(1) << static_cast<uint64_t>(config.backoff_bits)) * sizeof(float) + longest_table;
// unigrams are currently not quantized so no need for a table.
return (order - 2) * middle_table + longest_table + /* for the bit counts and alignment padding) */ 8;
}
@@ -217,7 +217,7 @@ class SeparatelyQuantize {
const Bins &LongestTable() const { return longest_; }
private:
- Bins tables_[kMaxOrder - 1][2];
+ Bins tables_[KENLM_MAX_ORDER - 1][2];
Bins longest_;
diff --git a/klm/lm/read_arpa.cc b/klm/lm/read_arpa.cc
index 2d9a337d..b709fef9 100644
--- a/klm/lm/read_arpa.cc
+++ b/klm/lm/read_arpa.cc
@@ -2,14 +2,20 @@
#include "lm/blank.hh"
+#include <cmath>
#include <cstdlib>
#include <iostream>
+#include <sstream>
#include <vector>
#include <ctype.h>
#include <string.h>
#include <stdint.h>
+#ifdef WIN32
+#include <float.h>
+#endif
+
namespace lm {
// 1 for '\t', '\n', and ' '. This is stricter than isspace.
@@ -26,6 +32,15 @@ bool IsEntirelyWhiteSpace(const StringPiece &line) {
const char kBinaryMagic[] = "mmap lm http://kheafield.com/code";
+// strtoull isn't portable enough :-(
+uint64_t ReadCount(const std::string &from) {
+ std::stringstream stream(from);
+ uint64_t ret;
+ stream >> ret;
+ UTIL_THROW_IF(!stream, FormatLoadException, "Bad count " << from);
+ return ret;
+}
+
} // namespace
void ReadARPACounts(util::FilePiece &in, std::vector<uint64_t> &number) {
@@ -47,15 +62,11 @@ void ReadARPACounts(util::FilePiece &in, std::vector<uint64_t> &number) {
// So strtol doesn't go off the end of line.
std::string remaining(line.data() + 6, line.size() - 6);
char *end_ptr;
- unsigned long int length = std::strtol(remaining.c_str(), &end_ptr, 10);
+ unsigned int length = std::strtol(remaining.c_str(), &end_ptr, 10);
if ((end_ptr == remaining.c_str()) || (length - 1 != number.size())) UTIL_THROW(FormatLoadException, "ngram count lengths should be consecutive starting with 1: " << line);
if (*end_ptr != '=') UTIL_THROW(FormatLoadException, "Expected = immediately following the first number in the count line " << line);
++end_ptr;
- const char *start = end_ptr;
- long int count = std::strtol(start, &end_ptr, 10);
- if (count < 0) UTIL_THROW(FormatLoadException, "Negative n-gram count " << count);
- if (start == end_ptr) UTIL_THROW(FormatLoadException, "Couldn't parse n-gram count from " << line);
- number.push_back(count);
+ number.push_back(ReadCount(end_ptr));
}
}
@@ -93,7 +104,16 @@ void ReadBackoff(util::FilePiece &in, float &backoff) {
case '\t':
backoff = in.ReadFloat();
if (backoff == ngram::kExtensionBackoff) backoff = ngram::kNoExtensionBackoff;
- if ((in.get() != '\n')) UTIL_THROW(FormatLoadException, "Expected newline after backoff");
+ {
+#ifdef WIN32
+ int float_class = _fpclass(backoff);
+ UTIL_THROW_IF(float_class == _FPCLASS_SNAN || float_class == _FPCLASS_QNAN || float_class == _FPCLASS_NINF || float_class == _FPCLASS_PINF, FormatLoadException, "Bad backoff " << backoff);
+#else
+ int float_class = std::fpclassify(backoff);
+ UTIL_THROW_IF(float_class == FP_NAN || float_class == FP_INFINITE, FormatLoadException, "Bad backoff " << backoff);
+#endif
+ }
+ UTIL_THROW_IF(in.get() != '\n', FormatLoadException, "Expected newline after backoff");
break;
case '\n':
backoff = ngram::kNoExtensionBackoff;
diff --git a/klm/lm/search_hashed.cc b/klm/lm/search_hashed.cc
index 13942309..a1623834 100644
--- a/klm/lm/search_hashed.cc
+++ b/klm/lm/search_hashed.cc
@@ -234,7 +234,7 @@ template <> void HashedSearch<BackoffValue>::DispatchBuild(util::FilePiece &f, c
ApplyBuild(f, counts, config, vocab, warn, build);
}
-template <> void HashedSearch<RestValue>::DispatchBuild(util::FilePiece &f, const std::vector<uint64_t> &counts, const Config &config, const ProbingVocabulary &vocab, PositiveProbWarn &warn) {
+template <> void HashedSearch<RestValue>::DispatchBuild(util::FilePiece &f, const std::vector<uint64_t> &counts, const Config &config, const ProbingVocabulary &vocab, PositiveProbWarn &warn) {
switch (config.rest_function) {
case Config::REST_MAX:
{
diff --git a/klm/lm/search_hashed.hh b/klm/lm/search_hashed.hh
index 7e8c1220..a52f107b 100644
--- a/klm/lm/search_hashed.hh
+++ b/klm/lm/search_hashed.hh
@@ -74,8 +74,8 @@ template <class Value> class HashedSearch {
// TODO: move probing_multiplier here with next binary file format update.
static void UpdateConfigFromBinary(int, const std::vector<uint64_t> &, Config &) {}
- static std::size_t Size(const std::vector<uint64_t> &counts, const Config &config) {
- std::size_t ret = Unigram::Size(counts[0]);
+ static uint64_t Size(const std::vector<uint64_t> &counts, const Config &config) {
+ uint64_t ret = Unigram::Size(counts[0]);
for (unsigned char n = 1; n < counts.size() - 1; ++n) {
ret += Middle::Size(counts[n], config.probing_multiplier);
}
@@ -160,8 +160,8 @@ template <class Value> class HashedSearch {
#endif
{}
- static std::size_t Size(uint64_t count) {
- return (count + 1) * sizeof(ProbBackoff); // +1 for hallucinate <unk>
+ static uint64_t Size(uint64_t count) {
+ return (count + 1) * sizeof(typename Value::Weights); // +1 for hallucinate <unk>
}
const typename Value::Weights &Lookup(WordIndex index) const {
diff --git a/klm/lm/search_trie.cc b/klm/lm/search_trie.cc
index 18e80d5a..debcfd07 100644
--- a/klm/lm/search_trie.cc
+++ b/klm/lm/search_trie.cc
@@ -89,7 +89,7 @@ class BackoffMessages {
if (!HasExtension(weights.backoff)) {
weights.backoff = kExtensionBackoff;
UTIL_THROW_IF(fseek(unigrams, -sizeof(weights), SEEK_CUR), util::ErrnoException, "Seeking backwards to denote unigram extension failed.");
- WriteOrThrow(unigrams, &weights, sizeof(weights));
+ util::WriteOrThrow(unigrams, &weights, sizeof(weights));
}
const ProbPointer &write_to = *reinterpret_cast<const ProbPointer*>(current_ + sizeof(WordIndex));
base[write_to.array][write_to.index] += weights.backoff;
@@ -180,7 +180,7 @@ const float kBadProb = std::numeric_limits<float>::infinity();
class SRISucks {
public:
SRISucks() {
- for (BackoffMessages *i = messages_; i != messages_ + kMaxOrder - 1; ++i)
+ for (BackoffMessages *i = messages_; i != messages_ + KENLM_MAX_ORDER - 1; ++i)
i->Init(sizeof(ProbPointer) + sizeof(WordIndex) * (i - messages_ + 1));
}
@@ -196,7 +196,7 @@ class SRISucks {
}
void ObtainBackoffs(unsigned char total_order, FILE *unigram_file, RecordReader *reader) {
- for (unsigned char i = 0; i < kMaxOrder - 1; ++i) {
+ for (unsigned char i = 0; i < KENLM_MAX_ORDER - 1; ++i) {
it_[i] = values_[i].empty() ? NULL : &*values_[i].begin();
}
messages_[0].Apply(it_, unigram_file);
@@ -221,10 +221,10 @@ class SRISucks {
private:
// This used to be one array. Then I needed to separate it by order for quantization to work.
- std::vector<float> values_[kMaxOrder - 1];
- BackoffMessages messages_[kMaxOrder - 1];
+ std::vector<float> values_[KENLM_MAX_ORDER - 1];
+ BackoffMessages messages_[KENLM_MAX_ORDER - 1];
- float *it_[kMaxOrder - 1];
+ float *it_[KENLM_MAX_ORDER - 1];
};
class FindBlanks {
@@ -337,7 +337,7 @@ struct Gram {
template <class Doing> class BlankManager {
public:
BlankManager(unsigned char total_order, Doing &doing) : total_order_(total_order), been_length_(0), doing_(doing) {
- for (float *i = basis_; i != basis_ + kMaxOrder - 1; ++i) *i = kBadProb;
+ for (float *i = basis_; i != basis_ + KENLM_MAX_ORDER - 1; ++i) *i = kBadProb;
}
void Visit(const WordIndex *to, unsigned char length, float prob) {
@@ -373,10 +373,10 @@ template <class Doing> class BlankManager {
private:
const unsigned char total_order_;
- WordIndex been_[kMaxOrder];
+ WordIndex been_[KENLM_MAX_ORDER];
unsigned char been_length_;
- float basis_[kMaxOrder];
+ float basis_[KENLM_MAX_ORDER];
Doing &doing_;
};
@@ -470,8 +470,8 @@ void PopulateUnigramWeights(FILE *file, WordIndex unigram_count, RecordReader &c
} // namespace
template <class Quant, class Bhiksha> void BuildTrie(SortedFiles &files, std::vector<uint64_t> &counts, const Config &config, TrieSearch<Quant, Bhiksha> &out, Quant &quant, const SortedVocabulary &vocab, Backing &backing) {
- RecordReader inputs[kMaxOrder - 1];
- RecordReader contexts[kMaxOrder - 1];
+ RecordReader inputs[KENLM_MAX_ORDER - 1];
+ RecordReader contexts[KENLM_MAX_ORDER - 1];
for (unsigned char i = 2; i <= counts.size(); ++i) {
inputs[i-2].Init(files.Full(i), i * sizeof(WordIndex) + (i == counts.size() ? sizeof(Prob) : sizeof(ProbBackoff)));
diff --git a/klm/lm/search_trie.hh b/klm/lm/search_trie.hh
index 10b22ab1..1264baf5 100644
--- a/klm/lm/search_trie.hh
+++ b/klm/lm/search_trie.hh
@@ -44,8 +44,8 @@ template <class Quant, class Bhiksha> class TrieSearch {
Bhiksha::UpdateConfigFromBinary(fd, config);
}
- static std::size_t Size(const std::vector<uint64_t> &counts, const Config &config) {
- std::size_t ret = Quant::Size(counts.size(), config) + Unigram::Size(counts[0]);
+ static uint64_t Size(const std::vector<uint64_t> &counts, const Config &config) {
+ uint64_t ret = Quant::Size(counts.size(), config) + Unigram::Size(counts[0]);
for (unsigned char i = 1; i < counts.size() - 1; ++i) {
ret += Middle::Size(Quant::MiddleBits(config), counts[i], counts[0], counts[i+1], config);
}
diff --git a/klm/lm/sri_test.cc b/klm/lm/sri_test.cc
deleted file mode 100644
index e697d722..00000000
--- a/klm/lm/sri_test.cc
+++ /dev/null
@@ -1,65 +0,0 @@
-#include "lm/sri.hh"
-
-#include <stdlib.h>
-
-#define BOOST_TEST_MODULE SRITest
-#include <boost/test/unit_test.hpp>
-
-namespace lm {
-namespace sri {
-namespace {
-
-#define StartTest(word, ngram, score) \
- ret = model.FullScore( \
- state, \
- model.GetVocabulary().Index(word), \
- out);\
- BOOST_CHECK_CLOSE(score, ret.prob, 0.001); \
- BOOST_CHECK_EQUAL(static_cast<unsigned int>(ngram), ret.ngram_length); \
- BOOST_CHECK_EQUAL(std::min<unsigned char>(ngram, 5 - 1), out.valid_length_);
-
-#define AppendTest(word, ngram, score) \
- StartTest(word, ngram, score) \
- state = out;
-
-template <class M> void Starters(M &model) {
- FullScoreReturn ret;
- Model::State state(model.BeginSentenceState());
- Model::State out;
-
- StartTest("looking", 2, -0.4846522);
-
- // , probability plus <s> backoff
- StartTest(",", 1, -1.383514 + -0.4149733);
- // <unk> probability plus <s> backoff
- StartTest("this_is_not_found", 0, -1.995635 + -0.4149733);
-}
-
-template <class M> void Continuation(M &model) {
- FullScoreReturn ret;
- Model::State state(model.BeginSentenceState());
- Model::State out;
-
- AppendTest("looking", 2, -0.484652);
- AppendTest("on", 3, -0.348837);
- AppendTest("a", 4, -0.0155266);
- AppendTest("little", 5, -0.00306122);
- State preserve = state;
- AppendTest("the", 1, -4.04005);
- AppendTest("biarritz", 1, -1.9889);
- AppendTest("not_found", 0, -2.29666);
- AppendTest("more", 1, -1.20632);
- AppendTest(".", 2, -0.51363);
- AppendTest("</s>", 3, -0.0191651);
-
- state = preserve;
- AppendTest("more", 5, -0.00181395);
- AppendTest("loin", 5, -0.0432557);
-}
-
-BOOST_AUTO_TEST_CASE(starters) { Model m("test.arpa", 5); Starters(m); }
-BOOST_AUTO_TEST_CASE(continuation) { Model m("test.arpa", 5); Continuation(m); }
-
-} // namespace
-} // namespace sri
-} // namespace lm
diff --git a/klm/lm/state.hh b/klm/lm/state.hh
index c7438414..551510a8 100644
--- a/klm/lm/state.hh
+++ b/klm/lm/state.hh
@@ -32,7 +32,7 @@ class State {
// Call this before using raw memcmp.
void ZeroRemaining() {
- for (unsigned char i = length; i < kMaxOrder - 1; ++i) {
+ for (unsigned char i = length; i < KENLM_MAX_ORDER - 1; ++i) {
words[i] = 0;
backoff[i] = 0.0;
}
@@ -42,11 +42,13 @@ class State {
// You shouldn't need to touch anything below this line, but the members are public so FullState will qualify as a POD.
// This order minimizes total size of the struct if WordIndex is 64 bit, float is 32 bit, and alignment of 64 bit integers is 64 bit.
- WordIndex words[kMaxOrder - 1];
- float backoff[kMaxOrder - 1];
+ WordIndex words[KENLM_MAX_ORDER - 1];
+ float backoff[KENLM_MAX_ORDER - 1];
unsigned char length;
};
+typedef State Right;
+
inline uint64_t hash_value(const State &state, uint64_t seed = 0) {
return util::MurmurHashNative(state.words, sizeof(WordIndex) * state.length, seed);
}
@@ -72,11 +74,11 @@ struct Left {
}
void ZeroRemaining() {
- for (uint64_t * i = pointers + length; i < pointers + kMaxOrder - 1; ++i)
+ for (uint64_t * i = pointers + length; i < pointers + KENLM_MAX_ORDER - 1; ++i)
*i = 0;
}
- uint64_t pointers[kMaxOrder - 1];
+ uint64_t pointers[KENLM_MAX_ORDER - 1];
unsigned char length;
bool full;
};
diff --git a/klm/lm/trie.cc b/klm/lm/trie.cc
index 0f1ca574..d9895f89 100644
--- a/klm/lm/trie.cc
+++ b/klm/lm/trie.cc
@@ -36,7 +36,7 @@ bool FindBitPacked(const void *base, uint64_t key_mask, uint8_t key_bits, uint8_
}
} // namespace
-std::size_t BitPacked::BaseSize(uint64_t entries, uint64_t max_vocab, uint8_t remaining_bits) {
+uint64_t BitPacked::BaseSize(uint64_t entries, uint64_t max_vocab, uint8_t remaining_bits) {
uint8_t total_bits = util::RequiredBits(max_vocab) + remaining_bits;
// Extra entry for next pointer at the end.
// +7 then / 8 to round up bits and convert to bytes
@@ -57,7 +57,7 @@ void BitPacked::BaseInit(void *base, uint64_t max_vocab, uint8_t remaining_bits)
max_vocab_ = max_vocab;
}
-template <class Bhiksha> std::size_t BitPackedMiddle<Bhiksha>::Size(uint8_t quant_bits, uint64_t entries, uint64_t max_vocab, uint64_t max_ptr, const Config &config) {
+template <class Bhiksha> uint64_t BitPackedMiddle<Bhiksha>::Size(uint8_t quant_bits, uint64_t entries, uint64_t max_vocab, uint64_t max_ptr, const Config &config) {
return Bhiksha::Size(entries + 1, max_ptr, config) + BaseSize(entries, max_vocab, quant_bits + Bhiksha::InlineBits(entries + 1, max_ptr, config));
}
diff --git a/klm/lm/trie.hh b/klm/lm/trie.hh
index eff93292..9ea3c546 100644
--- a/klm/lm/trie.hh
+++ b/klm/lm/trie.hh
@@ -11,7 +11,7 @@
namespace lm {
namespace ngram {
-class Config;
+struct Config;
namespace trie {
struct NodeRange {
@@ -49,7 +49,7 @@ class Unigram {
unigram_ = static_cast<UnigramValue*>(start);
}
- static std::size_t Size(uint64_t count) {
+ static uint64_t Size(uint64_t count) {
// +1 in case unknown doesn't appear. +1 for the final next.
return (count + 2) * sizeof(UnigramValue);
}
@@ -84,7 +84,7 @@ class BitPacked {
}
protected:
- static std::size_t BaseSize(uint64_t entries, uint64_t max_vocab, uint8_t remaining_bits);
+ static uint64_t BaseSize(uint64_t entries, uint64_t max_vocab, uint8_t remaining_bits);
void BaseInit(void *base, uint64_t max_vocab, uint8_t remaining_bits);
@@ -99,7 +99,7 @@ class BitPacked {
template <class Bhiksha> class BitPackedMiddle : public BitPacked {
public:
- static std::size_t Size(uint8_t quant_bits, uint64_t entries, uint64_t max_vocab, uint64_t max_next, const Config &config);
+ static uint64_t Size(uint8_t quant_bits, uint64_t entries, uint64_t max_vocab, uint64_t max_next, const Config &config);
// next_source need not be initialized.
BitPackedMiddle(void *base, uint8_t quant_bits, uint64_t entries, uint64_t max_vocab, uint64_t max_next, const BitPacked &next_source, const Config &config);
@@ -128,7 +128,7 @@ template <class Bhiksha> class BitPackedMiddle : public BitPacked {
class BitPackedLongest : public BitPacked {
public:
- static std::size_t Size(uint8_t quant_bits, uint64_t entries, uint64_t max_vocab) {
+ static uint64_t Size(uint8_t quant_bits, uint64_t entries, uint64_t max_vocab) {
return BaseSize(entries, max_vocab, quant_bits);
}
diff --git a/klm/lm/trie_sort.cc b/klm/lm/trie_sort.cc
index b80fed02..8663e94e 100644
--- a/klm/lm/trie_sort.cc
+++ b/klm/lm/trie_sort.cc
@@ -22,12 +22,6 @@
namespace lm {
namespace ngram {
namespace trie {
-
-void WriteOrThrow(FILE *to, const void *data, size_t size) {
- assert(size);
- if (1 != std::fwrite(data, size, 1, to)) UTIL_THROW(util::ErrnoException, "Short write; requested size " << size);
-}
-
namespace {
typedef util::SizedIterator NGramIter;
@@ -95,12 +89,12 @@ FILE *WriteContextFile(uint8_t *begin, uint8_t *end, const util::TempMaker &make
// Write out to file and uniqueify at the same time. Could have used unique_copy if there was an appropriate OutputIterator.
if (context_begin == context_end) return out.release();
PartialIter i(context_begin);
- WriteOrThrow(out.get(), i->Data(), context_size);
+ util::WriteOrThrow(out.get(), i->Data(), context_size);
const void *previous = i->Data();
++i;
for (; i != context_end; ++i) {
if (memcmp(previous, i->Data(), context_size)) {
- WriteOrThrow(out.get(), i->Data(), context_size);
+ util::WriteOrThrow(out.get(), i->Data(), context_size);
previous = i->Data();
}
}
@@ -116,7 +110,7 @@ struct ThrowCombine {
// Useful for context files that just contain records with no value.
struct FirstCombine {
void operator()(std::size_t entry_size, const void *first, const void * /*second*/, FILE *out) const {
- WriteOrThrow(out, first, entry_size);
+ util::WriteOrThrow(out, first, entry_size);
}
};
@@ -129,10 +123,10 @@ template <class Combine> FILE *MergeSortedFiles(FILE *first_file, FILE *second_f
EntryCompare less(order);
while (first && second) {
if (less(first.Data(), second.Data())) {
- WriteOrThrow(out_file.get(), first.Data(), entry_size);
+ util::WriteOrThrow(out_file.get(), first.Data(), entry_size);
++first;
} else if (less(second.Data(), first.Data())) {
- WriteOrThrow(out_file.get(), second.Data(), entry_size);
+ util::WriteOrThrow(out_file.get(), second.Data(), entry_size);
++second;
} else {
combine(entry_size, first.Data(), second.Data(), out_file.get());
@@ -140,7 +134,7 @@ template <class Combine> FILE *MergeSortedFiles(FILE *first_file, FILE *second_f
}
}
for (RecordReader &remains = (first ? first : second); remains; ++remains) {
- WriteOrThrow(out_file.get(), remains.Data(), entry_size);
+ util::WriteOrThrow(out_file.get(), remains.Data(), entry_size);
}
return out_file.release();
}
@@ -148,19 +142,23 @@ template <class Combine> FILE *MergeSortedFiles(FILE *first_file, FILE *second_f
} // namespace
void RecordReader::Init(FILE *file, std::size_t entry_size) {
- rewind(file);
- file_ = file;
+ entry_size_ = entry_size;
data_.reset(malloc(entry_size));
UTIL_THROW_IF(!data_.get(), util::ErrnoException, "Failed to malloc read buffer");
- remains_ = true;
- entry_size_ = entry_size;
- ++*this;
+ file_ = file;
+ if (file) {
+ rewind(file);
+ remains_ = true;
+ ++*this;
+ } else {
+ remains_ = false;
+ }
}
void RecordReader::Overwrite(const void *start, std::size_t amount) {
long internal = (uint8_t*)start - (uint8_t*)data_.get();
UTIL_THROW_IF(fseek(file_, internal - entry_size_, SEEK_CUR), util::ErrnoException, "Couldn't seek backwards for revision");
- WriteOrThrow(file_, start, amount);
+ util::WriteOrThrow(file_, start, amount);
long forward = entry_size_ - internal - amount;
#if !defined(_WIN32) && !defined(_WIN64)
if (forward)
@@ -169,9 +167,13 @@ void RecordReader::Overwrite(const void *start, std::size_t amount) {
}
void RecordReader::Rewind() {
- rewind(file_);
- remains_ = true;
- ++*this;
+ if (file_) {
+ rewind(file_);
+ remains_ = true;
+ ++*this;
+ } else {
+ remains_ = false;
+ }
}
SortedFiles::SortedFiles(const Config &config, util::FilePiece &f, std::vector<uint64_t> &counts, size_t buffer, const std::string &file_prefix, SortedVocabulary &vocab) {
diff --git a/klm/lm/trie_sort.hh b/klm/lm/trie_sort.hh
index 3036319d..2197b80c 100644
--- a/klm/lm/trie_sort.hh
+++ b/klm/lm/trie_sort.hh
@@ -25,12 +25,10 @@ namespace lm {
class PositiveProbWarn;
namespace ngram {
class SortedVocabulary;
-class Config;
+struct Config;
namespace trie {
-void WriteOrThrow(FILE *to, const void *data, size_t size);
-
class EntryCompare : public std::binary_function<const void*, const void*, bool> {
public:
explicit EntryCompare(unsigned char order) : order_(order) {}
@@ -107,7 +105,7 @@ class SortedFiles {
util::scoped_fd unigram_;
- util::scoped_FILE full_[kMaxOrder - 1], context_[kMaxOrder - 1];
+ util::scoped_FILE full_[KENLM_MAX_ORDER - 1], context_[KENLM_MAX_ORDER - 1];
};
} // namespace trie
diff --git a/klm/lm/value.hh b/klm/lm/value.hh
index 85e53f14..ba716713 100644
--- a/klm/lm/value.hh
+++ b/klm/lm/value.hh
@@ -6,7 +6,7 @@
#include "lm/weights.hh"
#include "util/bit_packing.hh"
-#include <inttypes.h>
+#include <stdint.h>
namespace lm {
namespace ngram {
diff --git a/klm/lm/value_build.hh b/klm/lm/value_build.hh
index 687a41a0..461e6a5c 100644
--- a/klm/lm/value_build.hh
+++ b/klm/lm/value_build.hh
@@ -10,9 +10,9 @@
namespace lm {
namespace ngram {
-class Config;
-class BackoffValue;
-class RestValue;
+struct Config;
+struct BackoffValue;
+struct RestValue;
class NoRestBuild {
public:
diff --git a/klm/lm/vocab.cc b/klm/lm/vocab.cc
index 5de68f16..11c27518 100644
--- a/klm/lm/vocab.cc
+++ b/klm/lm/vocab.cc
@@ -80,14 +80,14 @@ void WriteWordsWrapper::Add(WordIndex index, const StringPiece &str) {
buffer_.push_back(0);
}
-void WriteWordsWrapper::Write(int fd) {
- util::SeekEnd(fd);
+void WriteWordsWrapper::Write(int fd, uint64_t start) {
+ util::SeekOrThrow(fd, start);
util::WriteOrThrow(fd, buffer_.data(), buffer_.size());
}
SortedVocabulary::SortedVocabulary() : begin_(NULL), end_(NULL), enumerate_(NULL) {}
-std::size_t SortedVocabulary::Size(std::size_t entries, const Config &/*config*/) {
+uint64_t SortedVocabulary::Size(uint64_t entries, const Config &/*config*/) {
// Lead with the number of entries.
return sizeof(uint64_t) + sizeof(uint64_t) * entries;
}
@@ -165,7 +165,7 @@ struct ProbingVocabularyHeader {
ProbingVocabulary::ProbingVocabulary() : enumerate_(NULL) {}
-std::size_t ProbingVocabulary::Size(std::size_t entries, const Config &config) {
+uint64_t ProbingVocabulary::Size(uint64_t entries, const Config &config) {
return ALIGN8(sizeof(detail::ProbingVocabularyHeader)) + Lookup::Size(entries, config.probing_multiplier);
}
diff --git a/klm/lm/vocab.hh b/klm/lm/vocab.hh
index c3efcb4a..de54eb06 100644
--- a/klm/lm/vocab.hh
+++ b/klm/lm/vocab.hh
@@ -13,11 +13,11 @@
#include <vector>
namespace lm {
-class ProbBackoff;
+struct ProbBackoff;
class EnumerateVocab;
namespace ngram {
-class Config;
+struct Config;
namespace detail {
uint64_t HashForVocab(const char *str, std::size_t len);
@@ -35,7 +35,7 @@ class WriteWordsWrapper : public EnumerateVocab {
void Add(WordIndex index, const StringPiece &str);
- void Write(int fd);
+ void Write(int fd, uint64_t start);
private:
EnumerateVocab *inner_;
@@ -62,7 +62,7 @@ class SortedVocabulary : public base::Vocabulary {
}
// Size for purposes of file writing
- static size_t Size(std::size_t entries, const Config &config);
+ static uint64_t Size(uint64_t entries, const Config &config);
// Vocab words are [0, Bound()) Only valid after FinishedLoading/LoadedBinary.
WordIndex Bound() const { return bound_; }
@@ -129,7 +129,7 @@ class ProbingVocabulary : public base::Vocabulary {
return lookup_.Find(detail::HashForVocab(str), i) ? i->value : 0;
}
- static size_t Size(std::size_t entries, const Config &config);
+ static uint64_t Size(uint64_t entries, const Config &config);
// Vocab words are [0, Bound()).
WordIndex Bound() const { return bound_; }
diff --git a/klm/lm/word_index.hh b/klm/lm/word_index.hh
index 67841c30..e09557a7 100644
--- a/klm/lm/word_index.hh
+++ b/klm/lm/word_index.hh
@@ -2,8 +2,11 @@
#ifndef LM_WORD_INDEX__
#define LM_WORD_INDEX__
+#include <limits.h>
+
namespace lm {
typedef unsigned int WordIndex;
+const WordIndex kMaxWordIndex = UINT_MAX;
} // namespace lm
typedef lm::WordIndex LMWordIndex;
generated by cgit v1.2.3 (git 2.39.1) at 2024-09-21 12:23:16 +0000