#include <array_ops.h>
SpaceToBatch for 4-D tensors of type T.
This is a legacy version of the more general SpaceToBatchND.
Zero-pads and then rearranges (permutes) blocks of spatial data into batch. More specifically, this op outputs a copy of the input tensor where values from the height
and width
dimensions are moved to the batch
dimension. After the zero-padding, both height
and width
of the input must be divisible by the block size.
Arguments:
[batch, height, width, depth]
.[2, 2]
. It specifies the padding of the input with zeros across the spatial dimensions as follows: paddings = [[pad_top, pad_bottom], [pad_left, pad_right]]The effective spatial dimensions of the zero-padded input tensor will be:
height_pad = pad_top + height + pad_bottom width_pad = pad_left + width + pad_right
The attr block_size
must be greater than one. It indicates the block size.
block_size x block size
in the height and width dimensions are rearranged into the batch dimension at each location.batch * block_size * block_size
.The shape of the output will be:
[batch*block_size*block_size, height_pad/block_size, width_pad/block_size, depth]
Some examples:
(1) For the following input of shape [1, 2, 2, 1]
and block_size of 2:
``` x = [[[[1], [2]], [[3], [4]]]] ```
The output tensor has shape [4, 1, 1, 1]
and value:
``` [[[[1]]], [[[2]]], [[[3]]], [[[4]]]] ```
(2) For the following input of shape [1, 2, 2, 3]
and block_size of 2:
``` x = [[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]]] ```
The output tensor has shape [4, 1, 1, 3]
and value:
``` [[[1, 2, 3]], [[4, 5, 6]], [[7, 8, 9]], [[10, 11, 12]]] ```
(3) For the following input of shape [1, 4, 4, 1]
and block_size of 2:
``` x = [[[[1], [2], [3], [4]], [[5], [6], [7], [8]], [[9], [10], [11], [12]], [[13], [14], [15], [16]]]] ```
The output tensor has shape [4, 2, 2, 1]
and value:
``` x = [[[[1], [3]], [[9], [11]]], [[[2], [4]], [[10], [12]]], [[[5], [7]], [[13], [15]]], [[[6], [8]], [[14], [16]]]] ```
(4) For the following input of shape [2, 2, 4, 1]
and block_size of 2:
``` x = [[[[1], [2], [3], [4]], [[5], [6], [7], [8]]], [[[9], [10], [11], [12]], [[13], [14], [15], [16]]]] ```
The output tensor has shape [8, 1, 2, 1]
and value:
``` x = [[[[1], [3]]], [[[9], [11]]], [[[2], [4]]], [[[10], [12]]], [[[5], [7]]], [[[13], [15]]], [[[6], [8]]], [[[14], [16]]]] ```
Among others, this operation is useful for reducing atrous convolution into regular convolution.
Returns:
Output
: The output tensor. Constructors and Destructors | |
---|---|
SpaceToBatch(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input paddings, int64 block_size) |
Public attributes | |
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output |
Public functions | |
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node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
::tensorflow::Output output
SpaceToBatch( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input paddings, int64 block_size )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/space-to-batch.html