mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-12-26 13:23:25 +03:00
14e02978fc
Avoid unspecified behavior of mmap when a file is resized reported by Christian Hardmeier
Fixes for Mavericks and a workaround for Boost's broken semaphore
Clean clang compile (of kenlm)
Merged some of 744376b3fb but also undid some of it because it was just masking a fundaemntal problem with pread rather than working around windows limitations
449 lines
14 KiB
C++
449 lines
14 KiB
C++
#include "lm/model.hh"
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#include <stdlib.h>
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#include <string.h>
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#define BOOST_TEST_MODULE ModelTest
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#include <boost/test/unit_test.hpp>
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#include <boost/test/floating_point_comparison.hpp>
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// Apparently some Boost versions use templates and are pretty strict about types matching.
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#define SLOPPY_CHECK_CLOSE(ref, value, tol) BOOST_CHECK_CLOSE(static_cast<double>(ref), static_cast<double>(value), static_cast<double>(tol));
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namespace lm {
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namespace ngram {
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std::ostream &operator<<(std::ostream &o, const State &state) {
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o << "State length " << static_cast<unsigned int>(state.length) << ':';
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for (const WordIndex *i = state.words; i < state.words + state.length; ++i) {
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o << ' ' << *i;
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}
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return o;
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}
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namespace {
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// Stupid bjam reverses the command line arguments randomly.
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const char *TestLocation() {
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if (boost::unit_test::framework::master_test_suite().argc < 3) {
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return "test.arpa";
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}
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char **argv = boost::unit_test::framework::master_test_suite().argv;
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return argv[strstr(argv[1], "nounk") ? 2 : 1];
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}
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const char *TestNoUnkLocation() {
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if (boost::unit_test::framework::master_test_suite().argc < 3) {
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return "test_nounk.arpa";
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}
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char **argv = boost::unit_test::framework::master_test_suite().argv;
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return argv[strstr(argv[1], "nounk") ? 1 : 2];
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}
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template <class Model> State GetState(const Model &model, const char *word, const State &in) {
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WordIndex context[in.length + 1];
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context[0] = model.GetVocabulary().Index(word);
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std::copy(in.words, in.words + in.length, context + 1);
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State ret;
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model.GetState(context, context + in.length + 1, ret);
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return ret;
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}
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#define StartTest(word, ngram, score, indep_left) \
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ret = model.FullScore( \
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state, \
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model.GetVocabulary().Index(word), \
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out);\
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SLOPPY_CHECK_CLOSE(score, ret.prob, 0.001); \
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BOOST_CHECK_EQUAL(static_cast<unsigned int>(ngram), ret.ngram_length); \
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BOOST_CHECK_GE(std::min<unsigned char>(ngram, 5 - 1), out.length); \
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BOOST_CHECK_EQUAL(indep_left, ret.independent_left); \
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BOOST_CHECK_EQUAL(out, GetState(model, word, state));
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#define AppendTest(word, ngram, score, indep_left) \
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StartTest(word, ngram, score, indep_left) \
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state = out;
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template <class M> void Starters(const M &model) {
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FullScoreReturn ret;
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Model::State state(model.BeginSentenceState());
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Model::State out;
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StartTest("looking", 2, -0.4846522, true);
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// , probability plus <s> backoff
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StartTest(",", 1, -1.383514 + -0.4149733, true);
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// <unk> probability plus <s> backoff
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StartTest("this_is_not_found", 1, -1.995635 + -0.4149733, true);
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}
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template <class M> void Continuation(const M &model) {
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FullScoreReturn ret;
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Model::State state(model.BeginSentenceState());
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Model::State out;
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AppendTest("looking", 2, -0.484652, true);
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AppendTest("on", 3, -0.348837, true);
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AppendTest("a", 4, -0.0155266, true);
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AppendTest("little", 5, -0.00306122, true);
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State preserve = state;
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AppendTest("the", 1, -4.04005, true);
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AppendTest("biarritz", 1, -1.9889, true);
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AppendTest("not_found", 1, -2.29666, true);
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AppendTest("more", 1, -1.20632 - 20.0, true);
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AppendTest(".", 2, -0.51363, true);
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AppendTest("</s>", 3, -0.0191651, true);
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BOOST_CHECK_EQUAL(0, state.length);
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state = preserve;
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AppendTest("more", 5, -0.00181395, true);
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BOOST_CHECK_EQUAL(4, state.length);
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AppendTest("loin", 5, -0.0432557, true);
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BOOST_CHECK_EQUAL(1, state.length);
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}
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template <class M> void Blanks(const M &model) {
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FullScoreReturn ret;
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State state(model.NullContextState());
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State out;
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AppendTest("also", 1, -1.687872, false);
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AppendTest("would", 2, -2, true);
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AppendTest("consider", 3, -3, true);
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State preserve = state;
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AppendTest("higher", 4, -4, true);
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AppendTest("looking", 5, -5, true);
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BOOST_CHECK_EQUAL(1, state.length);
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state = preserve;
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// also would consider not_found
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AppendTest("not_found", 1, -1.995635 - 7.0 - 0.30103, true);
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state = model.NullContextState();
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// higher looking is a blank.
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AppendTest("higher", 1, -1.509559, false);
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AppendTest("looking", 2, -1.285941 - 0.30103, false);
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State higher_looking = state;
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BOOST_CHECK_EQUAL(1, state.length);
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AppendTest("not_found", 1, -1.995635 - 0.4771212, true);
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state = higher_looking;
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// higher looking consider
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AppendTest("consider", 1, -1.687872 - 0.4771212, true);
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state = model.NullContextState();
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AppendTest("would", 1, -1.687872, false);
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BOOST_CHECK_EQUAL(1, state.length);
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AppendTest("consider", 2, -1.687872 -0.30103, false);
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BOOST_CHECK_EQUAL(2, state.length);
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AppendTest("higher", 3, -1.509559 - 0.30103, false);
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BOOST_CHECK_EQUAL(3, state.length);
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AppendTest("looking", 4, -1.285941 - 0.30103, false);
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}
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template <class M> void Unknowns(const M &model) {
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FullScoreReturn ret;
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State state(model.NullContextState());
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State out;
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AppendTest("not_found", 1, -1.995635, false);
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State preserve = state;
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AppendTest("not_found2", 2, -15.0, true);
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AppendTest("not_found3", 2, -15.0 - 2.0, true);
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state = preserve;
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AppendTest("however", 2, -4, true);
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AppendTest("not_found3", 3, -6, true);
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}
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template <class M> void MinimalState(const M &model) {
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FullScoreReturn ret;
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State state(model.NullContextState());
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State out;
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AppendTest("baz", 1, -6.535897, true);
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BOOST_CHECK_EQUAL(0, state.length);
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state = model.NullContextState();
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AppendTest("foo", 1, -3.141592, true);
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BOOST_CHECK_EQUAL(1, state.length);
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AppendTest("bar", 2, -6.0, true);
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// Has to include the backoff weight.
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BOOST_CHECK_EQUAL(1, state.length);
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AppendTest("bar", 1, -2.718281 + 3.0, true);
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BOOST_CHECK_EQUAL(1, state.length);
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state = model.NullContextState();
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AppendTest("to", 1, -1.687872, false);
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AppendTest("look", 2, -0.2922095, true);
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BOOST_CHECK_EQUAL(2, state.length);
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AppendTest("good", 3, -7, true);
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}
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template <class M> void ExtendLeftTest(const M &model) {
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State right;
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FullScoreReturn little(model.FullScore(model.NullContextState(), model.GetVocabulary().Index("little"), right));
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const float kLittleProb = -1.285941;
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SLOPPY_CHECK_CLOSE(kLittleProb, little.prob, 0.001);
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unsigned char next_use;
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float backoff_out[4];
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FullScoreReturn extend_none(model.ExtendLeft(NULL, NULL, NULL, little.extend_left, 1, NULL, next_use));
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BOOST_CHECK_EQUAL(0, next_use);
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BOOST_CHECK_EQUAL(little.extend_left, extend_none.extend_left);
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SLOPPY_CHECK_CLOSE(little.prob - little.rest, extend_none.prob, 0.001);
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BOOST_CHECK_EQUAL(1, extend_none.ngram_length);
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const WordIndex a = model.GetVocabulary().Index("a");
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float backoff_in = 3.14;
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// a little
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FullScoreReturn extend_a(model.ExtendLeft(&a, &a + 1, &backoff_in, little.extend_left, 1, backoff_out, next_use));
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BOOST_CHECK_EQUAL(1, next_use);
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SLOPPY_CHECK_CLOSE(-0.69897, backoff_out[0], 0.001);
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SLOPPY_CHECK_CLOSE(-0.09132547 - little.rest, extend_a.prob, 0.001);
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BOOST_CHECK_EQUAL(2, extend_a.ngram_length);
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BOOST_CHECK(!extend_a.independent_left);
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const WordIndex on = model.GetVocabulary().Index("on");
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FullScoreReturn extend_on(model.ExtendLeft(&on, &on + 1, &backoff_in, extend_a.extend_left, 2, backoff_out, next_use));
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BOOST_CHECK_EQUAL(1, next_use);
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SLOPPY_CHECK_CLOSE(-0.4771212, backoff_out[0], 0.001);
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SLOPPY_CHECK_CLOSE(-0.0283603 - (extend_a.rest + little.rest), extend_on.prob, 0.001);
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BOOST_CHECK_EQUAL(3, extend_on.ngram_length);
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BOOST_CHECK(!extend_on.independent_left);
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const WordIndex both[2] = {a, on};
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float backoff_in_arr[4];
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FullScoreReturn extend_both(model.ExtendLeft(both, both + 2, backoff_in_arr, little.extend_left, 1, backoff_out, next_use));
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BOOST_CHECK_EQUAL(2, next_use);
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SLOPPY_CHECK_CLOSE(-0.69897, backoff_out[0], 0.001);
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SLOPPY_CHECK_CLOSE(-0.4771212, backoff_out[1], 0.001);
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SLOPPY_CHECK_CLOSE(-0.0283603 - little.rest, extend_both.prob, 0.001);
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BOOST_CHECK_EQUAL(3, extend_both.ngram_length);
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BOOST_CHECK(!extend_both.independent_left);
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BOOST_CHECK_EQUAL(extend_on.extend_left, extend_both.extend_left);
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}
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#define StatelessTest(word, provide, ngram, score) \
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ret = model.FullScoreForgotState(indices + num_words - word, indices + num_words - word + provide, indices[num_words - word - 1], state); \
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SLOPPY_CHECK_CLOSE(score, ret.prob, 0.001); \
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BOOST_CHECK_EQUAL(static_cast<unsigned int>(ngram), ret.ngram_length); \
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model.GetState(indices + num_words - word, indices + num_words - word + provide, before); \
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ret = model.FullScore(before, indices[num_words - word - 1], out); \
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BOOST_CHECK(state == out); \
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SLOPPY_CHECK_CLOSE(score, ret.prob, 0.001); \
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BOOST_CHECK_EQUAL(static_cast<unsigned int>(ngram), ret.ngram_length);
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template <class M> void Stateless(const M &model) {
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const char *words[] = {"<s>", "looking", "on", "a", "little", "the", "biarritz", "not_found", "more", ".", "</s>"};
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const size_t num_words = sizeof(words) / sizeof(const char*);
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// Silience "array subscript is above array bounds" when extracting end pointer.
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WordIndex indices[num_words + 1];
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for (unsigned int i = 0; i < num_words; ++i) {
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indices[num_words - 1 - i] = model.GetVocabulary().Index(words[i]);
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}
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FullScoreReturn ret;
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State state, out, before;
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ret = model.FullScoreForgotState(indices + num_words - 1, indices + num_words, indices[num_words - 2], state);
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SLOPPY_CHECK_CLOSE(-0.484652, ret.prob, 0.001);
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StatelessTest(1, 1, 2, -0.484652);
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// looking
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StatelessTest(1, 2, 2, -0.484652);
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// on
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AppendTest("on", 3, -0.348837, true);
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StatelessTest(2, 3, 3, -0.348837);
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StatelessTest(2, 2, 3, -0.348837);
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StatelessTest(2, 1, 2, -0.4638903);
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// a
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StatelessTest(3, 4, 4, -0.0155266);
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// little
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AppendTest("little", 5, -0.00306122, true);
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StatelessTest(4, 5, 5, -0.00306122);
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// the
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AppendTest("the", 1, -4.04005, true);
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StatelessTest(5, 5, 1, -4.04005);
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// No context of the.
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StatelessTest(5, 0, 1, -1.687872);
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// biarritz
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StatelessTest(6, 1, 1, -1.9889);
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// not found
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StatelessTest(7, 1, 1, -2.29666);
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StatelessTest(7, 0, 1, -1.995635);
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WordIndex unk[1];
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unk[0] = 0;
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model.GetState(unk, unk + 1, state);
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BOOST_CHECK_EQUAL(1, state.length);
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BOOST_CHECK_EQUAL(static_cast<WordIndex>(0), state.words[0]);
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}
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template <class M> void NoUnkCheck(const M &model) {
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WordIndex unk_index = 0;
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State state;
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FullScoreReturn ret = model.FullScoreForgotState(&unk_index, &unk_index + 1, unk_index, state);
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SLOPPY_CHECK_CLOSE(-100.0, ret.prob, 0.001);
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}
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template <class M> void Everything(const M &m) {
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Starters(m);
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Continuation(m);
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Blanks(m);
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Unknowns(m);
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MinimalState(m);
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ExtendLeftTest(m);
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Stateless(m);
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}
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class ExpectEnumerateVocab : public EnumerateVocab {
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public:
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ExpectEnumerateVocab() {}
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void Add(WordIndex index, const StringPiece &str) {
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BOOST_CHECK_EQUAL(seen.size(), index);
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seen.push_back(std::string(str.data(), str.length()));
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}
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void Check(const base::Vocabulary &vocab) {
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BOOST_CHECK_EQUAL(37ULL, seen.size());
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BOOST_REQUIRE(!seen.empty());
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BOOST_CHECK_EQUAL("<unk>", seen[0]);
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for (WordIndex i = 0; i < seen.size(); ++i) {
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BOOST_CHECK_EQUAL(i, vocab.Index(seen[i]));
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}
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}
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void Clear() {
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seen.clear();
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}
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std::vector<std::string> seen;
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};
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template <class ModelT> void LoadingTest() {
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Config config;
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config.arpa_complain = Config::NONE;
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config.messages = NULL;
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config.probing_multiplier = 2.0;
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{
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ExpectEnumerateVocab enumerate;
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config.enumerate_vocab = &enumerate;
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ModelT m(TestLocation(), config);
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enumerate.Check(m.GetVocabulary());
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BOOST_CHECK_EQUAL((WordIndex)37, m.GetVocabulary().Bound());
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Everything(m);
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}
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{
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ExpectEnumerateVocab enumerate;
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config.enumerate_vocab = &enumerate;
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ModelT m(TestNoUnkLocation(), config);
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enumerate.Check(m.GetVocabulary());
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BOOST_CHECK_EQUAL((WordIndex)37, m.GetVocabulary().Bound());
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NoUnkCheck(m);
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}
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}
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BOOST_AUTO_TEST_CASE(probing) {
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LoadingTest<Model>();
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}
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BOOST_AUTO_TEST_CASE(trie) {
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LoadingTest<TrieModel>();
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}
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BOOST_AUTO_TEST_CASE(quant_trie) {
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LoadingTest<QuantTrieModel>();
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}
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BOOST_AUTO_TEST_CASE(bhiksha_trie) {
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LoadingTest<ArrayTrieModel>();
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}
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BOOST_AUTO_TEST_CASE(quant_bhiksha_trie) {
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LoadingTest<QuantArrayTrieModel>();
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}
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template <class ModelT> void BinaryTest(Config::WriteMethod write_method) {
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Config config;
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config.write_mmap = "test.binary";
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config.messages = NULL;
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config.write_method = write_method;
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ExpectEnumerateVocab enumerate;
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config.enumerate_vocab = &enumerate;
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{
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ModelT copy_model(TestLocation(), config);
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enumerate.Check(copy_model.GetVocabulary());
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enumerate.Clear();
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Everything(copy_model);
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}
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config.write_mmap = NULL;
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ModelType type;
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BOOST_REQUIRE(RecognizeBinary("test.binary", type));
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BOOST_CHECK_EQUAL(ModelT::kModelType, type);
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{
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ModelT binary("test.binary", config);
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enumerate.Check(binary.GetVocabulary());
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Everything(binary);
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}
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unlink("test.binary");
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// Now test without <unk>.
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config.write_mmap = "test_nounk.binary";
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config.messages = NULL;
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enumerate.Clear();
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{
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ModelT copy_model(TestNoUnkLocation(), config);
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enumerate.Check(copy_model.GetVocabulary());
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enumerate.Clear();
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NoUnkCheck(copy_model);
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}
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config.write_mmap = NULL;
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{
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ModelT binary(TestNoUnkLocation(), config);
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enumerate.Check(binary.GetVocabulary());
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NoUnkCheck(binary);
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}
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unlink("test_nounk.binary");
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}
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template <class ModelT> void BinaryTest() {
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BinaryTest<ModelT>(Config::WRITE_MMAP);
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BinaryTest<ModelT>(Config::WRITE_AFTER);
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}
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BOOST_AUTO_TEST_CASE(write_and_read_probing) {
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BinaryTest<ProbingModel>();
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}
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BOOST_AUTO_TEST_CASE(write_and_read_rest_probing) {
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BinaryTest<RestProbingModel>();
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}
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BOOST_AUTO_TEST_CASE(write_and_read_trie) {
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BinaryTest<TrieModel>();
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}
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BOOST_AUTO_TEST_CASE(write_and_read_quant_trie) {
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BinaryTest<QuantTrieModel>();
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}
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BOOST_AUTO_TEST_CASE(write_and_read_array_trie) {
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BinaryTest<ArrayTrieModel>();
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}
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BOOST_AUTO_TEST_CASE(write_and_read_quant_array_trie) {
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BinaryTest<QuantArrayTrieModel>();
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}
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BOOST_AUTO_TEST_CASE(rest_max) {
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Config config;
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config.arpa_complain = Config::NONE;
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config.messages = NULL;
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RestProbingModel model(TestLocation(), config);
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State state, out;
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FullScoreReturn ret(model.FullScore(model.NullContextState(), model.GetVocabulary().Index("."), state));
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SLOPPY_CHECK_CLOSE(-0.2705918, ret.rest, 0.001);
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SLOPPY_CHECK_CLOSE(-0.01916512, model.FullScore(state, model.GetVocabulary().EndSentence(), out).rest, 0.001);
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}
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} // namespace
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} // namespace ngram
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} // namespace lm
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