T - data type for output() output@Operator public final class PadV2<T> extends PrimitiveOp implements Operand<T>
This operation pads `input` according to the `paddings` and `constant_values` 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 padding values to add before the contents of `input` in that dimension, and `paddings[D, 1]` indicates how many padding values to add after the contents of `input` in that dimension. `constant_values` is a scalar tensor of the same type as `input` that indicates the value to use for padding `input`.
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]]
# 'constant_values' is 0
# 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]]
operation| Modifier and Type | Method and Description |
|---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T,U extends Number> |
create(Scope scope,
Operand<T> input,
Operand<U> paddings,
Operand<T> constantValues)
Factory method to create a class to wrap a new PadV2 operation to the graph.
|
Output<T> |
output() |
equals, hashCode, toStringpublic static <T,U extends Number> PadV2<T> create(Scope scope, Operand<T> input, Operand<U> paddings, Operand<T> constantValues)
scope - current graph scopeinput - paddings - constantValues - public Output<T> asOutput()
OperandInputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
asOutput in interface Operand<T>OperationBuilder.addInput(Output)Copyright © 2015–2019. All rights reserved.