@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.BatchToSpace extends Pointer
BatchToSpace for 4-D tensors of type T.
This is a legacy version of the more general BatchToSpaceND.
Rearranges (permutes) data from batch into blocks of spatial data, followed by
cropping. This is the reverse transformation of SpaceToBatch. More specifically,
this op outputs a copy of the input tensor where values from the batch
dimension are moved in spatial blocks to the height and width dimensions,
followed by cropping along the height and width dimensions.
Arguments:
* scope: A Scope object
* input: 4-D tensor with shape
[batch*block_size*block_size, height_pad/block_size, width_pad/block_size,
depth]. Note that the batch size of the input tensor must be divisible by
block_size * block_size.
* crops: 2-D tensor of non-negative integers with shape [2, 2]. It specifies
how many elements to crop from the intermediate result across the spatial
dimensions as follows:
crops = [[crop_top, crop_bottom], [crop_left, crop_right]]
Returns:
* Output: 4-D with shape [batch, height, width, depth], where:
height = height_pad - crop_top - crop_bottom
width = width_pad - crop_left - crop_right
The attr block_size must be greater than one. It indicates the block size.
Some examples:
(1) For the following input of shape [4, 1, 1, 1] and block_size of 2:
[[[[1]]], [[[2]]], [[[3]]], [[[4]]]]
[1, 2, 2, 1] and value:
x = [[[[1], [2]], [[3], [4]]]]
[4, 1, 1, 3] and block_size of 2:
[[[1, 2, 3]], [[4, 5, 6]], [[7, 8, 9]], [[10, 11, 12]]]
[1, 2, 2, 3] and value:
x = [[[[1, 2, 3], [4, 5, 6]],
[[7, 8, 9], [10, 11, 12]]]]
[4, 2, 2, 1] and block_size of 2:
x = [[[[1], [3]], [[9], [11]]],
[[[2], [4]], [[10], [12]]],
[[[5], [7]], [[13], [15]]],
[[[6], [8]], [[14], [16]]]]
[1, 4, 4, 1] and value:
x = [[[1], [2], [3], [4]],
[[5], [6], [7], [8]],
[[9], [10], [11], [12]],
[[13], [14], [15], [16]]]
[8, 1, 2, 1] and block_size of 2:
x = [[[[1], [3]]], [[[9], [11]]], [[[2], [4]]], [[[10], [12]]],
[[[5], [7]]], [[[13], [15]]], [[[6], [8]]], [[[14], [16]]]]
[2, 2, 4, 1] and value:
x = [[[[1], [3]], [[5], [7]]],
[[[2], [4]], [[10], [12]]],
[[[5], [7]], [[13], [15]]],
[[[6], [8]], [[14], [16]]]]
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
BatchToSpace(Pointer p)
Pointer cast constructor.
|
BatchToSpace(tensorflow.Scope scope,
tensorflow.Input input,
tensorflow.Input crops,
long block_size) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.BatchToSpace |
operation(tensorflow.Operation operation) |
tensorflow.Output |
output() |
tensorflow.BatchToSpace |
output(tensorflow.Output output) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic BatchToSpace(Pointer p)
Pointer.Pointer(Pointer).public BatchToSpace(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input crops, @Cast(value="tensorflow::int64") long block_size)
@ByVal @Name(value="operator tensorflow::Output") public tensorflow.Output asOutput()
@ByVal @Name(value="operator tensorflow::Input") public tensorflow.Input asInput()
public tensorflow.Node node()
@ByRef public tensorflow.Operation operation()
public tensorflow.BatchToSpace operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output output()
public tensorflow.BatchToSpace output(tensorflow.Output output)
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