MaxPoolGradWithArgmax

public final class MaxPoolGradWithArgmax

Computes gradients of the maxpooling function.

Nested Classes

class MaxPoolGradWithArgmax.Options Optional attributes for MaxPoolGradWithArgmax  

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> MaxPoolGradWithArgmax<T>
create(Scope scope, Operand<T> input, Operand<T> grad, Operand<? extends TNumber> argmax, List<Long> ksize, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new MaxPoolGradWithArgmax operation.
static MaxPoolGradWithArgmax.Options
includeBatchInIndex(Boolean includeBatchInIndex)
Output<T>
output()
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: "MaxPoolGradWithArgmax"

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 MaxPoolGradWithArgmax<T> create (Scope scope, Operand<T> input, Operand<T> grad, Operand<? extends TNumber> argmax, List<Long> ksize, List<Long> strides, String padding, Options... options)

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

Parameters
scope current scope
input The original input.
grad 4-D with shape `[batch, height, width, channels]`. Gradients w.r.t. the output of `max_pool`.
argmax The indices of the maximum values chosen for each output of `max_pool`.
ksize The size of the window for each dimension of the input tensor.
strides The stride of the sliding window for each dimension of the input tensor.
padding The type of padding algorithm to use.
options carries optional attributes values
Returns
  • a new instance of MaxPoolGradWithArgmax

public static MaxPoolGradWithArgmax.Options includeBatchInIndex (Boolean includeBatchInIndex)

Parameters
includeBatchInIndex Whether to include batch dimension in flattened index of `argmax`.

public Output<T> output ()

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