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vocabulary.py
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vocabulary.py
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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Vocabulary class for an image-to-text model."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
class Vocabulary(object):
"""Vocabulary class for an image-to-text model."""
def __init__(self, vocab_file, start_word="<S>", end_word="</S>", unk_word="<UNK>"):
"""Initializes the vocabulary.
Args:
vocab_file: File containing the vocabulary, where the words are the first
whitespace-separated token on each line (other tokens are ignored) and
the word ids are the corresponding line numbers.
start_word: Special word denoting sentence start.
end_word: Special word denoting sentence end.
unk_word: Special word denoting unknown words.
"""
if not tf.gfile.Exists(vocab_file):
tf.logging.fatal("Vocab file %s not found.", vocab_file)
tf.logging.info("Initializing vocabulary from file: %s", vocab_file)
with tf.gfile.GFile(vocab_file, mode="r") as f:
reverse_vocab = list(f.readlines())
reverse_vocab = [line.split()[0] for line in reverse_vocab]
assert start_word in reverse_vocab
assert end_word in reverse_vocab
if unk_word not in reverse_vocab:
reverse_vocab.append(unk_word)
vocab = dict([(x, y) for (y, x) in enumerate(reverse_vocab)])
tf.logging.info("Created vocabulary with %d words" % len(vocab))
self.vocab = vocab # vocab[word] = id
self.reverse_vocab = reverse_vocab # reverse_vocab[id] = word
# Save special word ids.
self.start_id = vocab[start_word]
self.end_id = vocab[end_word]
self.unk_id = vocab[unk_word]
def word_to_id(self, word):
"""Returns the integer word id of a word string."""
if word in self.vocab:
return self.vocab[word]
else:
return self.unk_id
def id_to_word(self, word_id):
"""Returns the word string of an integer word id."""
if word_id >= len(self.reverse_vocab):
return self.reverse_vocab[self.unk_id]
else:
return self.reverse_vocab[word_id]