SpaceToBatch for 4-D tensors of type T.
tf.compat.v1.space_to_batch( input, paddings, block_size=None, name=None, block_shape=None )
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.
Args | |
---|---|
input | A Tensor . 4-D with shape [batch, height, width, depth] . |
paddings | A Tensor . Must be one of the following types: int32 , int64 . 2-D tensor of non-negative integers with shape [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
The shape of the output will be: [batchblock_sizeblock_size, height_pad/block_size, width_pad/block_size, depth] Some examples: (1) For the following input of shape x = [[[[1], [2]], [[3], [4]]]] The output tensor has shape [[[[1]]], [[[2]]], [[[3]]], [[[4]]]] (2) For the following input of shape x = [[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]]] The output tensor has shape [[[[1, 2, 3]]], [[[4, 5, 6]]], [[[7, 8, 9]]], [[[10, 11, 12]]]] (3) For the following input of shape x = [[[[1], [2], [3], [4]], [[5], [6], [7], [8]], [[9], [10], [11], [12]], [[13], [14], [15], [16]]]] The output tensor has shape x = [[[[1], [3]], [[9], [11]]], [[[2], [4]], [[10], [12]]], [[[5], [7]], [[13], [15]]], [[[6], [8]], [[14], [16]]]] (4) For the following input of shape x = [[[[1], [2], [3], [4]], [[5], [6], [7], [8]]], [[[9], [10], [11], [12]], [[13], [14], [15], [16]]]] The output tensor has shape 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. |
block_size | An int that is >= 2 . |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor . Has the same type as input . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/space_to_batch