replace tf.image.resize_image_with_crop_or_pad with tf.image.resize_with_crop_or_pad (#1032)

* replace tf.image.resize_image_with_crop_or_pad with tf.image.resize_with_crop_or_pad

tf.image.resize_image_with_crop_or_pad is not supported now

* Update CHANGELOG.md

Author: warshallrho

CHANGELOG.md

@@ -112,7 +112,8 @@ To release a new version, please update the changelog as followed:
 - Remove `private_method` decorator (#PR 1025)
 - Copy original model's `trainable_weights` and `nontrainable_weights` when initializing `ModelLayer` (#PR 1026)
 - Copy original model's `trainable_weights` and `nontrainable_weights` when initializing `LayerList` (#PR 1029)
-- remove redundant parts in `model.all_layers` (#PR 1029)
+- Remove redundant parts in `model.all_layers` (#PR 1029)
+- Replace `tf.image.resize_image_with_crop_or_pad` with `tf.image.resize_with_crop_or_pad` (#PR 1032)
 
 ### Removed
 
@@ -122,7 +123,7 @@ To release a new version, please update the changelog as followed:
 
 - @zsdonghao
 - @ChrisWu1997: #1010 #1015 #1025 #1030
-- @warshallrho: #1017 #1021 #1026 #1029
+- @warshallrho: #1017 #1021 #1026 #1029 #1032
 - @ArnoldLIULJ: #1023
 - @JingqingZ: #1023
 

examples/basic_tutorials/tutorial_cifar10_cnn_static.py

@@ -127,7 +127,7 @@ def _map_fn_train(img, target):
 
 def _map_fn_test(img, target):
     # 1. Crop the central [height, width] of the image.
-    img = tf.image.resize_image_with_crop_or_pad(img, 24, 24)
+    img = tf.image.resize_with_crop_or_pad(img, 24, 24)
     # 2. Subtract off the mean and divide by the variance of the pixels.
     img = tf.image.per_image_standardization(img)
     img = tf.reshape(img, (24, 24, 3))