@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.SpaceToBatchND extends Pointer
[1, ..., M] of the input into a
grid of blocks of shape block_shape, and interleaves these blocks with the
"batch" dimension (0) such that in the output, the spatial dimensions
[1, ..., M] correspond to the position within the grid, and the batch
dimension combines both the position within a spatial block and the original
batch position. Prior to division into blocks, the spatial dimensions of the
input are optionally zero padded according to paddings. See below for a
precise description.
Arguments:
* scope: A Scope object
* input: N-D with shape input_shape = [batch] + spatial_shape + remaining_shape,
where spatial_shape has M dimensions.
* block_shape: 1-D with shape [M], all values must be >= 1.
* paddings: 2-D with shape [M, 2], all values must be >= 0.
paddings[i] = [pad_start, pad_end] specifies the padding for input dimension
i + 1, which corresponds to spatial dimension i. It is required that
block_shape[i] divides input_shape[i + 1] + pad_start + pad_end.
This operation is equivalent to the following steps:
1. Zero-pad the start and end of dimensions [1, ..., M] of the
input according to paddings to produce padded of shape padded_shape.
2. Reshape padded to reshaped_padded of shape:
[batch] +
[padded_shape[1] / block_shape[0],
block_shape[0],
...,
padded_shape[M] / block_shape[M-1],
block_shape[M-1]] +
remaining_shape
3. Permute dimensions of reshaped_padded to produce
permuted_reshaped_padded of shape:
block_shape +
[batch] +
[padded_shape[1] / block_shape[0],
...,
padded_shape[M] / block_shape[M-1]] +
remaining_shape
4. Reshape permuted_reshaped_padded to flatten block_shape into the batch
dimension, producing an output tensor of shape:
[batch * prod(block_shape)] +
[padded_shape[1] / block_shape[0],
...,
padded_shape[M] / block_shape[M-1]] +
remaining_shape
Some examples:
(1) For the following input of shape [1, 2, 2, 1], block_shape = [2, 2], and
paddings = [[0, 0], [0, 0]]:
x = [[[[1], [2]], [[3], [4]]]]
[4, 1, 1, 1] and value:
[[[[1]]], [[[2]]], [[[3]]], [[[4]]]]
[1, 2, 2, 3], block_shape = [2, 2], and
paddings = [[0, 0], [0, 0]]:
x = [[[[1, 2, 3], [4, 5, 6]],
[[7, 8, 9], [10, 11, 12]]]]
[4, 1, 1, 3] and value:
[[[1, 2, 3]], [[4, 5, 6]], [[7, 8, 9]], [[10, 11, 12]]]
[1, 4, 4, 1], block_shape = [2, 2], and
paddings = [[0, 0], [0, 0]]:
x = [[[[1], [2], [3], [4]],
[[5], [6], [7], [8]],
[[9], [10], [11], [12]],
[[13], [14], [15], [16]]]]
[4, 2, 2, 1] and value:
x = [[[[1], [3]], [[9], [11]]],
[[[2], [4]], [[10], [12]]],
[[[5], [7]], [[13], [15]]],
[[[6], [8]], [[14], [16]]]]
[2, 2, 4, 1], block_shape = [2, 2], and
paddings = [[0, 0], [2, 0]]:
x = [[[[1], [2], [3], [4]],
[[5], [6], [7], [8]]],
[[[9], [10], [11], [12]],
[[13], [14], [15], [16]]]]
[8, 1, 3, 1] and value:
x = [[[[0], [1], [3]]], [[[0], [9], [11]]],
[[[0], [2], [4]]], [[[0], [10], [12]]],
[[[0], [5], [7]]], [[[0], [13], [15]]],
[[[0], [6], [8]]], [[[0], [14], [16]]]]
Output: The output tensor.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
SpaceToBatchND(Pointer p)
Pointer cast constructor.
|
SpaceToBatchND(tensorflow.Scope scope,
tensorflow.Input input,
tensorflow.Input block_shape,
tensorflow.Input paddings) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.SpaceToBatchND |
operation(tensorflow.Operation operation) |
tensorflow.Output |
output() |
tensorflow.SpaceToBatchND |
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 SpaceToBatchND(Pointer p)
Pointer.Pointer(Pointer).public SpaceToBatchND(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input block_shape, @ByVal tensorflow.Input paddings)
@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.SpaceToBatchND operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output output()
public tensorflow.SpaceToBatchND output(tensorflow.Output output)
Copyright © 2019. All rights reserved.