org.tensorflow.op.core

Class Conv3DBackpropFilter<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.Conv3DBackpropFilter<T>

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

@Operator
public final class Conv3DBackpropFilter<T extends Number>
extends PrimitiveOp
implements Operand<T>

Computes the gradients of 3-D convolution with respect to the filter.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	Conv3DBackpropFilter.Options Optional attributes for Conv3DBackpropFilter

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number> Conv3DBackpropFilter<T>	create(Scope scope, Operand<T> input, Operand<T> filter, Operand<T> outBackprop, List<Long> strides, String padding, Conv3DBackpropFilter.Options... options) Factory method to create a class to wrap a new Conv3DBackpropFilter operation to the graph.
static Conv3DBackpropFilter.Options	dilations(List<Long> dilations)
Output<T>	output()

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <T extends Number> Conv3DBackpropFilter<T> create(Scope scope,
                                                                Operand<T> input,
                                                                Operand<T> filter,
                                                                Operand<T> outBackprop,
                                                                List<Long> strides,
                                                                String padding,
                                                                Conv3DBackpropFilter.Options... options)

Factory method to create a class to wrap a new Conv3DBackpropFilter operation to the graph.

Parameters:

scope - current graph scope

input - Shape `[batch, depth, rows, cols, in_channels]`.

filter - Shape `[depth, rows, cols, in_channels, out_channels]`. `in_channels` must match between `input` and `filter`.

outBackprop - Backprop signal of shape `[batch, out_depth, out_rows, out_cols, out_channels]`.

strides - 1-D tensor of length 5. The stride of the sliding window for each dimension of `input`. Must have `strides[0] = strides[4] = 1`.

padding - The type of padding algorithm to use.

options - carries optional attributes values

Returns:

a new instance of Conv3DBackpropFilter

dilations

public static Conv3DBackpropFilter.Options dilations(List<Long> dilations)

Parameters:

dilations -

output

public Output<T> output()

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a tensor.

Inputs 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.

Specified by:

asOutput in interface Operand<T extends Number>

See Also:

OperationBuilder.addInput(Output)