Class FractionalAvgPoolGrad.Inputs<T extends TNumber>
java.lang.Object
org.tensorflow.op.RawOpInputs<FractionalAvgPoolGrad<T>>
org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs<T>
- Enclosing class:
FractionalAvgPoolGrad<T extends TNumber>
public static class FractionalAvgPoolGrad.Inputs<T extends TNumber>
extends RawOpInputs<FractionalAvgPoolGrad<T>>
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Field Summary
FieldsModifier and TypeFieldDescriptioncolumn pooling sequence, form pooling region with row_pooling sequence.Original input tensor shape forfractional_avg_pool4-D with shape[batch, height, width, channels].final booleanWhen set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.row pooling sequence, form pooling region with col_pooling_sequence.final DataTypeThe T attribute -
Constructor Summary
Constructors -
Method Summary
Methods inherited from class RawOpInputs
attributeMetadata, attributeNames, attributes, attributeValue, attributeValues, equals, getOutputs, hashCode, toStringModifier and TypeMethodDescriptionattributeMetadata(String name) Get the metadata for an attributeGet the names of this op's attributesGet an inspector for the operation's attributes.attributeValue(String name) Get the value of an attribute as anAttrValueproto.Get all attribute value protosfinal booleanThe outputs of this operation.final inthashCode()final StringtoString()
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Field Details
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origInputTensorShape
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outBackprop
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rowPoolingSequence
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colPoolingSequence
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overlapping
public final boolean overlappingWhen set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells. For example:index 0 1 2 3 4value 20 5 16 3 7If the pooling sequence is [0, 2, 4], then 16, at index 2 will be used twice. The result would be [41/3, 26/3] for fractional avg pooling.
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T
The T attribute
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Constructor Details
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Inputs
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