From d3e2ec203a5cf550320caa8023ac3dd103b0be7d Mon Sep 17 00:00:00 2001
From: Chris Dyer <redpony@gmail.com>
Date: Mon, 13 Oct 2014 00:42:37 -0400
Subject: new kenlm

---
 klm/lm/neural/wordvecs.cc | 23 +++++++++++++++++++++++
 klm/lm/neural/wordvecs.hh | 38 ++++++++++++++++++++++++++++++++++++++
 2 files changed, 61 insertions(+)
 create mode 100644 klm/lm/neural/wordvecs.cc
 create mode 100644 klm/lm/neural/wordvecs.hh

(limited to 'klm/lm/neural')

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
-- 
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