Update image_ops_impl.py
diff --git a/tensorflow/python/ops/image_ops_impl.py b/tensorflow/python/ops/image_ops_impl.py
index 32bb609..3266557 100644
--- a/tensorflow/python/ops/image_ops_impl.py
+++ b/tensorflow/python/ops/image_ops_impl.py
@@ -644,7 +644,8 @@
Usage Example:
>>> image = tf.random.normal(shape=(100, 200, 3))
- >>> tf.image.transpose(image) #ouput shape(200, 100, 3)
+ >>> tf.image.transpose(image)
+ <tf.Tensor 'transpose_5/transpose:0' shape=(200, 100, 3) dtype=float32>
"""
with ops.name_scope(name, 'transpose', [image]):
image = ops.convert_to_tensor(image, name='image')
@@ -1981,11 +1982,11 @@
Adjusted image(s), same shape and DType as `image`.
Usage Example:
- ```python
- >>> import tensorflow as tf
- >>> x = tf.random.normal(shape=(256, 256, 3))
- >>> tf.image.adjust_hue(x, 0.2)
- ```
+
+ >>> x = tf.random.normal(shape=(256, 256, 3))
+ >>> tf.image.adjust_hue(x, 0.2)
+ <tf.Tensor 'adjust_hue/Identity:0' shape=(256, 256, 3) dtype=float32>
+
"""
with ops.name_scope(name, 'adjust_hue', [image]) as name:
image = ops.convert_to_tensor(image, name='image')
@@ -2929,7 +2930,8 @@
Usage Example:
>>> x = tf.random.normal(shape=(200, 210, 3))
- >>> tf.image.rgb_to_yiq(x)#(200, 210, 3)
+ >>> tf.image.rgb_to_yiq(x)#output(200, 210, 3)
+ <tf.Tensor 'Tensordot_2:0' shape=(200, 210, 3) dtype=float32>
"""
images = ops.convert_to_tensor(images, name='images')
@@ -2963,6 +2965,7 @@
>>> x = tf.random.normal(shape=(256, 256, 3))
>>> tf.image.yiq_to_rgb(x)
+ <tf.Tensor 'Tensordot_4:0' shape=(256, 256, 3) dtype=float32>
"""
images = ops.convert_to_tensor(images, name='images')
kernel = ops.convert_to_tensor(
