T - data type for output() outputpublic final class MaxPoolGradWithArgmax<T extends Number> extends PrimitiveOp implements Operand<T>
| Modifier and Type | Class and Description |
|---|---|
static class |
MaxPoolGradWithArgmax.Options
Optional attributes for
MaxPoolGradWithArgmax |
operation| Modifier and Type | Method and Description |
|---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
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static <T extends Number,U extends Number> |
create(Scope scope,
Operand<T> input,
Operand<T> grad,
Operand<U> argmax,
List<Long> ksize,
List<Long> strides,
String padding,
MaxPoolGradWithArgmax.Options... options)
Factory method to create a class wrapping a new MaxPoolGradWithArgmax operation.
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static MaxPoolGradWithArgmax.Options |
includeBatchInIndex(Boolean includeBatchInIndex) |
Output<T> |
output()
Gradients w.r.t.
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equals, hashCode, op, toStringpublic static <T extends Number,U extends Number> MaxPoolGradWithArgmax<T> create(Scope scope, Operand<T> input, Operand<T> grad, Operand<U> argmax, List<Long> ksize, List<Long> strides, String padding, MaxPoolGradWithArgmax.Options... options)
scope - current scopeinput - 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 valuespublic static MaxPoolGradWithArgmax.Options includeBatchInIndex(Boolean includeBatchInIndex)
includeBatchInIndex - Whether to include batch dimension in flattened index of `argmax`.public Output<T> asOutput()
OperandInputs 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.
asOutput in interface Operand<T extends Number>OperationBuilder.addInput(Output)Copyright © 2015–2019. All rights reserved.