T
- data type for output()
output@Operator(group="sparse") public final class SparseSegmentMeanGrad<T extends Number> extends PrimitiveOp implements Operand<T>
Returns tensor "output" with same shape as grad, except for dimension 0 whose value is output_dim0.
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number,U extends Number> |
create(Scope scope,
Operand<T> grad,
Operand<U> indices,
Operand<Integer> segmentIds,
Operand<Integer> outputDim0)
Factory method to create a class wrapping a new SparseSegmentMeanGrad operation.
|
Output<T> |
output() |
equals, hashCode, op, toString
public static <T extends Number,U extends Number> SparseSegmentMeanGrad<T> create(Scope scope, Operand<T> grad, Operand<U> indices, Operand<Integer> segmentIds, Operand<Integer> outputDim0)
scope
- current scopegrad
- gradient propagated to the SparseSegmentMean op.indices
- indices passed to the corresponding SparseSegmentMean op.segmentIds
- segment_ids passed to the corresponding SparseSegmentMean op.outputDim0
- dimension 0 of "data" passed to SparseSegmentMean op.public Output<T> asOutput()
Operand
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.
asOutput
in interface Operand<T extends Number>
OperationBuilder.addInput(Output)
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