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MaxPool3dGradGrad

public final class MaxPool3dGradGrad

Computes second-order gradients of the maxpooling function.

Nested Classes

class MaxPool3dGradGrad.Options Optional attributes for MaxPool3dGradGrad

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 > MaxPool3dGradGrad <T>
create ( Scope scope, Operand <T> origInput, Operand <T> origOutput, Operand <T> grad, List<Long> ksize, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new MaxPool3dGradGrad operation.
static MaxPool3dGradGrad.Options
dataFormat (String dataFormat)
Output <T>
output ()
Gradients of gradients w.r.t.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "MaxPool3DGradGrad"

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 MaxPool3dGradGrad <T> create ( Scope scope, Operand <T> origInput, Operand <T> origOutput, Operand <T> grad, List<Long> ksize, List<Long> strides, String padding, Options... options)

Factory method to create a class wrapping a new MaxPool3dGradGrad operation.

Parameters
scope current scope
origInput The original input tensor.
origOutput The original output tensor.
grad Output backprop of shape `[batch, depth, rows, cols, channels]`.
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 MaxPool3dGradGrad

public static MaxPool3dGradGrad.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 ()

Gradients of gradients w.r.t. the input to `max_pool`.