T
- data type for output()
output@Operator(group="sparse") public final class SparseReduceMax<T extends Number> extends PrimitiveOp implements Operand<T>
This Op takes a SparseTensor and is the sparse counterpart to `tf.reduce_max()`. In particular, this Op also returns a dense `Tensor` instead of a sparse one.
Reduces `sp_input` along the dimensions given in `reduction_axes`. Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in `reduction_axes`. If `keep_dims` is true, the reduced dimensions are retained with length 1.
If `reduction_axes` has no entries, all dimensions are reduced, and a tensor with a single element is returned. Additionally, the axes can be negative, which are interpreted according to the indexing rules in Python.
Modifier and Type | Class and Description |
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static class |
SparseReduceMax.Options
Optional attributes for
SparseReduceMax |
operation
Modifier and Type | Method and Description |
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Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number> |
create(Scope scope,
Operand<Long> inputIndices,
Operand<T> inputValues,
Operand<Long> inputShape,
Operand<Integer> reductionAxes,
SparseReduceMax.Options... options)
Factory method to create a class wrapping a new SparseReduceMax operation.
|
static SparseReduceMax.Options |
keepDims(Boolean keepDims) |
Output<T> |
output()
`R-K`-D.
|
equals, hashCode, op, toString
public static <T extends Number> SparseReduceMax<T> create(Scope scope, Operand<Long> inputIndices, Operand<T> inputValues, Operand<Long> inputShape, Operand<Integer> reductionAxes, SparseReduceMax.Options... options)
scope
- current scopeinputIndices
- 2-D. `N x R` matrix with the indices of non-empty values in a
SparseTensor, possibly not in canonical ordering.inputValues
- 1-D. `N` non-empty values corresponding to `input_indices`.inputShape
- 1-D. Shape of the input SparseTensor.reductionAxes
- 1-D. Length-`K` vector containing the reduction axes.options
- carries optional attributes valuespublic static SparseReduceMax.Options keepDims(Boolean keepDims)
keepDims
- If true, retain reduced dimensions with length 1.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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