removing tf.slice as it is soon to be deprecated. replaced with tf.strided_slice in the following 15 files. more to come!

Change: 140875384

1 files changed, 5 insertions, 3 deletions

diff --git a/tensorflow/models/image/cifar10/cifar10_input.py b/tensorflow/models/image/cifar10/cifar10_input.py
index b00859b262..dbbd990402 100644
--- a/tensorflow/models/image/cifar10/cifar10_input.py
+++ b/tensorflow/models/image/cifar10/cifar10_input.py
@@ -84,12 +84,14 @@ def read_cifar10(filename_queue):
 
   # The first bytes represent the label, which we convert from uint8->int32.
   result.label = tf.cast(
-      tf.slice(record_bytes, [0], [label_bytes]), tf.int32)
+      tf.strided_slice(record_bytes, [0], [label_bytes]), tf.int32)
 
   # The remaining bytes after the label represent the image, which we reshape
   # from [depth * height * width] to [depth, height, width].
-  depth_major = tf.reshape(tf.slice(record_bytes, [label_bytes], [image_bytes]),
-                           [result.depth, result.height, result.width])
+  depth_major = tf.reshape(
+      tf.strided_slice(record_bytes, [label_bytes],
+                       [label_bytes + image_bytes]),
+      [result.depth, result.height, result.width])
   # Convert from [depth, height, width] to [height, width, depth].
   result.uint8image = tf.transpose(depth_major, [1, 2, 0])