MaxPool3d

public final class MaxPool3d

Performs 3D max pooling on the input.

Nested Classes

class MaxPool3d.Options Optional attributes for MaxPool3d

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 > MaxPool3d <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 MaxPool3d operation.
static MaxPool3d.Options
dataFormat (String dataFormat)
Output <T>
output ()
The max 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: "MaxPool3D"

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 MaxPool3d <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 MaxPool3d 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 MaxPool3d

public static MaxPool3d.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 max pooled output tensor.