@Namespace(value="tensorflow::ops") @NoOffset @Properties(inherit=tensorflow.class) public class Pad extends Pointer
input
with zeros according to the paddings
you
specify. paddings
is an integer tensor with shape [Dn, 2]
, where n is the
rank of input
. For each dimension D of input
, paddings[D, 0]
indicates
how many zeros to add before the contents of input
in that dimension, and
paddings[D, 1]
indicates how many zeros to add after the contents of input
in that dimension.
The padded size of each dimension D of the output is:
paddings(D, 0) + input.dim_size(D) + paddings(D, 1)
For example:
# 't' is [[1, 1], [2, 2]]
# 'paddings' is [[1, 1], [2, 2]]
# rank of 't' is 2
pad(t, paddings) ==> [[0, 0, 0, 0, 0, 0]
[0, 0, 1, 1, 0, 0]
[0, 0, 2, 2, 0, 0]
[0, 0, 0, 0, 0, 0]]
Arguments:
* scope: A Scope object
Returns:
* Output
: The output tensor.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
---|
Pad(Pointer p)
Pointer cast constructor.
|
Pad(Scope scope,
Input input,
Input paddings) |
Modifier and Type | Method and Description |
---|---|
Input |
asInput() |
Output |
asOutput() |
Node |
node() |
Operation |
operation() |
Pad |
operation(Operation setter) |
Output |
output() |
Pad |
output(Output setter) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero
public Pad(Pointer p)
Pointer(Pointer)
.public Node node()
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