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authorChris Dyer <redpony@gmail.com>2014-10-13 00:42:37 -0400
committerChris Dyer <redpony@gmail.com>2014-10-13 00:42:37 -0400
commitd3e2ec203a5cf550320caa8023ac3dd103b0be7d (patch)
tree0c340e6e87f42ae048892d91b3084a59b27e0f03 /klm/lm/neural
parentf974c887c357adf3703fc1072a391e016d3d05ed (diff)
new kenlm
Diffstat (limited to 'klm/lm/neural')
-rw-r--r--klm/lm/neural/wordvecs.cc23
-rw-r--r--klm/lm/neural/wordvecs.hh38
2 files changed, 61 insertions, 0 deletions
diff --git a/klm/lm/neural/wordvecs.cc b/klm/lm/neural/wordvecs.cc
new file mode 100644
index 00000000..09bb4260
--- /dev/null
+++ b/klm/lm/neural/wordvecs.cc
@@ -0,0 +1,23 @@
+#include "lm/neural/wordvecs.hh"
+
+#include "util/file_piece.hh"
+
+namespace lm { namespace neural {
+
+WordVecs::WordVecs(util::FilePiece &f) {
+ const unsigned long lines = f.ReadULong();
+ const std::size_t vocab_mem = ngram::ProbingVocabulary::Size(lines, 1.5);
+ vocab_backing_.reset(util::CallocOrThrow(vocab_mem));
+ vocab_.SetupMemory(vocab_backing_.get(), vocab_mem);
+ const unsigned long width = f.ReadULong();
+ vecs_.resize(width, lines);
+ for (unsigned long i = 0; i < lines; ++i) {
+ WordIndex column = vocab_.Insert(f.ReadDelimited());
+ for (unsigned int row = 0; row < width; ++row) {
+ vecs_(row,column) = f.ReadFloat();
+ }
+ }
+ vocab_.FinishedLoading();
+}
+
+}} // namespaces
diff --git a/klm/lm/neural/wordvecs.hh b/klm/lm/neural/wordvecs.hh
new file mode 100644
index 00000000..921a2b22
--- /dev/null
+++ b/klm/lm/neural/wordvecs.hh
@@ -0,0 +1,38 @@
+#ifndef LM_NEURAL_WORDVECS_H
+#define LM_NEURAL_WORDVECS_H
+
+#include "util/scoped.hh"
+#include "lm/vocab.hh"
+
+#include <Eigen/Dense>
+
+namespace util { class FilePiece; }
+
+namespace lm {
+namespace neural {
+
+class WordVecs {
+ public:
+ // Columns of the matrix are word vectors. The column index is the word.
+ typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::ColMajor> Storage;
+
+ /* The file should begin with a line stating the number of word vectors and
+ * the length of the vectors. Then it's followed by lines containing a
+ * word followed by floating-point values.
+ */
+ explicit WordVecs(util::FilePiece &in);
+
+ const Storage &Vectors() const { return vecs_; }
+
+ WordIndex Index(StringPiece str) const { return vocab_.Index(str); }
+
+ private:
+ util::scoped_malloc vocab_backing_;
+ ngram::ProbingVocabulary vocab_;
+
+ Storage vecs_;
+};
+
+}} // namespaces
+
+#endif // LM_NEURAL_WORDVECS_H