Update generated Python Op docs.

Change: 123983886

tensorflow/g3doc/api_docs/python/array_ops.md

@@ -936,6 +936,47 @@ tf.transpose(x, perm=[0, 2, 1]) ==> [[[1  4]
   A transposed `Tensor`.
 
 
+- - -
+
+### `tf.extract_image_patches(images, padding, ksizes=None, strides=None, rates=None, name=None)` {#extract_image_patches}
+
+Extract `patches` from `images` and puth them in the "depth" output dimension.
+
+##### Args:
+
+
+*  <b>`images`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`, `uint8`, `int16`, `int8`, `uint16`, `half`.
+    4-D Tensor with shape `[batch, in_rows, in_cols, depth]`.
+*  <b>`padding`</b>: A `string` from: `"SAME", "VALID"`.
+    The type of padding algorithm to use.
+
+    We specify the size-related attributes as:
+
+          ksizes = [1, ksize_rows, ksize_cols, 1]
+          strides = [1, strides_rows, strides_cols, 1]
+          rates = [1, rates_rows, rates_cols, 1]
+
+*  <b>`ksizes`</b>: An optional list of `ints`. Defaults to `[]`.
+    The size of the sliding window for each dimension of `images`.
+*  <b>`strides`</b>: An optional list of `ints`. Defaults to `[]`.
+    1-D of length 4. How far the centers of two consecutive patches are in
+    the images. Must be: `[1, stride_rows, stride_cols, 1]`.
+*  <b>`rates`</b>: An optional list of `ints`. Defaults to `[]`.
+    1-D of length 4. Must be: `[1, rate_rows, rate_cols, 1]`. This is the
+    input stride, specifying how far two consecutive patch samples are in the
+    input. Equivalent to extracting patches with
+    `patch_sizes_eff = patch_sizes + (patch_sizes - 1) * (rates - 1), followed by
+    subsampling them spatially by a factor of `rates`.
+*  <b>`name`</b>: A name for the operation (optional).
+
+##### Returns:
+
+  A `Tensor`. Has the same type as `images`.
+  4-D Tensor with shape `[batch, out_rows, out_cols, ksize_rows *
+  ksize_cols * depth]` containing image patches with size
+  `ksize_rows x ksize_cols x depth` vectorized in the "depth" dimension.
+
+
 - - -
 
 ### `tf.space_to_batch(input, paddings, block_size, name=None)` {#space_to_batch}

tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.extract_image_patches.md

+### `tf.extract_image_patches(images, padding, ksizes=None, strides=None, rates=None, name=None)` {#extract_image_patches}
+
+Extract `patches` from `images` and puth them in the "depth" output dimension.
+
+##### Args:
+
+
+*  <b>`images`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`, `uint8`, `int16`, `int8`, `uint16`, `half`.
+    4-D Tensor with shape `[batch, in_rows, in_cols, depth]`.
+*  <b>`padding`</b>: A `string` from: `"SAME", "VALID"`.
+    The type of padding algorithm to use.
+
+    We specify the size-related attributes as:
+
+          ksizes = [1, ksize_rows, ksize_cols, 1]
+          strides = [1, strides_rows, strides_cols, 1]
+          rates = [1, rates_rows, rates_cols, 1]
+
+*  <b>`ksizes`</b>: An optional list of `ints`. Defaults to `[]`.
+    The size of the sliding window for each dimension of `images`.
+*  <b>`strides`</b>: An optional list of `ints`. Defaults to `[]`.
+    1-D of length 4. How far the centers of two consecutive patches are in
+    the images. Must be: `[1, stride_rows, stride_cols, 1]`.
+*  <b>`rates`</b>: An optional list of `ints`. Defaults to `[]`.
+    1-D of length 4. Must be: `[1, rate_rows, rate_cols, 1]`. This is the
+    input stride, specifying how far two consecutive patch samples are in the
+    input. Equivalent to extracting patches with
+    `patch_sizes_eff = patch_sizes + (patch_sizes - 1) * (rates - 1), followed by
+    subsampling them spatially by a factor of `rates`.
+*  <b>`name`</b>: A name for the operation (optional).
+
+##### Returns:
+
+  A `Tensor`. Has the same type as `images`.
+  4-D Tensor with shape `[batch, out_rows, out_cols, ksize_rows *
+  ksize_cols * depth]` containing image patches with size
+  `ksize_rows x ksize_cols x depth` vectorized in the "depth" dimension.
+

tensorflow/g3doc/api_docs/python/index.md

@@ -121,6 +121,7 @@
   * [`dynamic_partition`](../../api_docs/python/array_ops.md#dynamic_partition)
   * [`dynamic_stitch`](../../api_docs/python/array_ops.md#dynamic_stitch)
   * [`expand_dims`](../../api_docs/python/array_ops.md#expand_dims)
+  * [`extract_image_patches`](../../api_docs/python/array_ops.md#extract_image_patches)
   * [`gather`](../../api_docs/python/array_ops.md#gather)
   * [`gather_nd`](../../api_docs/python/array_ops.md#gather_nd)
   * [`one_hot`](../../api_docs/python/array_ops.md#one_hot)