def build_inputs(self):
if self.mode == "inference":
# Inference mode doesn't read from disk, so defer to parent.
return super(ShowAndTellModel, self).build_inputs()
else:
# Replace disk I/O with random Tensors.
self.images = tf.random_uniform(
shape=[self.config.batch_size, self.config.image_height,
self.config.image_width, 3],
minval=-1,
maxval=1)
self.input_seqs = tf.random_uniform(
[self.config.batch_size, 15],
minval=0,
maxval=self.config.vocab_size,
dtype=tf.int64)
self.target_seqs = tf.random_uniform(
[self.config.batch_size, 15],
minval=0,
maxval=self.config.vocab_size,
dtype=tf.int64)
self.input_mask = tf.ones_like(self.input_seqs)
show_and_tell_model_test.py 文件源码
python
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