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authorGravatar Andrew Selle <aselle@google.com>2016-12-16 07:22:59 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-12-16 07:43:07 -0800
commitb183b6d0c8ff5ddf0cc48f21fc03341bf56c75f7 (patch)
tree0756257bf3bc732cb5e7739dcca62e2c8b0b8727 /tensorflow/examples/image_retraining
parent709ee95325f0814100e5b6378d4405020cf9d8b8 (diff)
Change remaining tf.mul -> tf.multiply, tf.neg -> tf.negative, and tf.sub -> tf.subtract
tf.negative, tf.multiply, tf.subtract are the new names Change: 142257628
Diffstat (limited to 'tensorflow/examples/image_retraining')
-rw-r--r--tensorflow/examples/image_retraining/retrain.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/examples/image_retraining/retrain.py b/tensorflow/examples/image_retraining/retrain.py
index ca8c9358b3..0d5ba84c2d 100644
--- a/tensorflow/examples/image_retraining/retrain.py
+++ b/tensorflow/examples/image_retraining/retrain.py
@@ -637,9 +637,9 @@ def add_input_distortions(flip_left_right, random_crop, random_scale,
resize_scale_value = tf.random_uniform(tensor_shape.scalar(),
minval=1.0,
maxval=resize_scale)
- scale_value = tf.mul(margin_scale_value, resize_scale_value)
- precrop_width = tf.mul(scale_value, MODEL_INPUT_WIDTH)
- precrop_height = tf.mul(scale_value, MODEL_INPUT_HEIGHT)
+ scale_value = tf.multiply(margin_scale_value, resize_scale_value)
+ precrop_width = tf.multiply(scale_value, MODEL_INPUT_WIDTH)
+ precrop_height = tf.multiply(scale_value, MODEL_INPUT_HEIGHT)
precrop_shape = tf.stack([precrop_height, precrop_width])
precrop_shape_as_int = tf.cast(precrop_shape, dtype=tf.int32)
precropped_image = tf.image.resize_bilinear(decoded_image_4d,
@@ -657,7 +657,7 @@ def add_input_distortions(flip_left_right, random_crop, random_scale,
brightness_value = tf.random_uniform(tensor_shape.scalar(),
minval=brightness_min,
maxval=brightness_max)
- brightened_image = tf.mul(flipped_image, brightness_value)
+ brightened_image = tf.multiply(flipped_image, brightness_value)
distort_result = tf.expand_dims(brightened_image, 0, name='DistortResult')
return jpeg_data, distort_result