Conv3dBackpropFilter

public final class Conv3dBackpropFilter

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

Nested Classes

class

Conv3dBackpropFilter.Options

Optional attributes for Conv3dBackpropFilter

Constants

String

OP_NAME

The name of this op, as known by TensorFlow core engine

Public Methods

Output<T>	asOutput() Returns the symbolic handle of the tensor.
static <T extends TNumber> Conv3dBackpropFilter<T>	create(Scope scope, Operand<T> input, Operand<TInt32> filterSizes, Operand<T> outBackprop, List<Long> strides, String padding, Options... options) Factory method to create a class wrapping a new Conv3dBackpropFilter operation.
static Conv3dBackpropFilter.Options	dataFormat(String dataFormat)
static Conv3dBackpropFilter.Options	dilations(List<Long> dilations)
Output<T>	output()

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

From interface org.tensorflow.Operand

abstract Output<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "Conv3DBackpropFilterV2"

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of the 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.

public static Conv3dBackpropFilter<T> create (Scope scope, Operand<T> input, Operand<TInt32> filterSizes, Operand<T> outBackprop, List<Long> strides, String padding, Options... options)

Factory method to create a class wrapping a new Conv3dBackpropFilter operation.

Parameters

scope	current scope
input	Shape `[batch, depth, rows, cols, in_channels]`.
filterSizes	An integer vector representing the tensor shape of `filter`, where `filter` is a 5-D `[filter_depth, filter_height, filter_width, in_channels, out_channels]` tensor.
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

public static Conv3dBackpropFilter.Options dataFormat (String dataFormat)

Parameters

dataFormat	The data format of the input and output data. With the default format "NDHWC", the data is stored in the order of: [batch, in_depth, in_height, in_width, in_channels]. Alternatively, the format could be "NCDHW", the data storage order is: [batch, in_channels, in_depth, in_height, in_width].

public static Conv3dBackpropFilter.Options dilations (List<Long> dilations)

Parameters

dilations	1-D tensor of length 5. The dilation factor for each dimension of `input`. If set to k > 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value of `data_format`, see above for details. Dilations in the batch and depth dimensions must be 1.

public Output<T> output ()