AvgPool3d

public final class AvgPool3d

Performs 3D average pooling on the input.

Each entry in `output` is the mean of the corresponding size `ksize` window in `value`.

Nested Classes

class AvgPool3d.Options Optional attributes for AvgPool3d

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 > AvgPool3d <T>
create ( Scope scope, Operand <T> input, List<Long> ksize, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new AvgPool3d operation.
static AvgPool3d.Options
dataFormat (String dataFormat)
Output <T>
output ()
The average pooled output tensor.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "AvgPool3D"

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 AvgPool3d <T> create ( Scope scope, Operand <T> input, List<Long> ksize, List<Long> strides, String padding, Options... options)

Factory method to create a class wrapping a new AvgPool3d operation.

Parameters
scope current scope
input Shape `[batch, depth, rows, cols, channels]` tensor to pool over.
ksize 1-D tensor of length 5. The size of the window for each dimension of the input tensor. Must have `ksize[0] = ksize[4] = 1`.
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 AvgPool3d

public static AvgPool3d.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 Output <T> output ()

The average pooled output tensor.