T
- data type for output
output@Operator(group="math") public final class SegmentProd<T extends TType> extends RawOp implements Operand<T>
Computes a tensor such that
\(output_i = \prod_j data_j\) where the product is over j
such
that segment_ids[j] == i
.
If the product is empty for a given segment ID i
, output[i] = 1
.
For example:
c = tf.constant([[1,2,3,4], [4, 3, 2, 1], [5,6,7,8]]) tf.segment_prod(c, tf.constant([0, 0, 1])) # ==> [[4, 6, 6, 4], # [5, 6, 7, 8]]
Modifier and Type | Class and Description |
---|---|
static class |
SegmentProd.Inputs<T extends TType> |
Modifier and Type | Field and Description |
---|---|
static String |
OP_NAME
The name of this op, as known by TensorFlow core engine
|
Constructor and Description |
---|
SegmentProd(Operation operation) |
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
|
static <T extends TType> |
create(Scope scope,
Operand<T> data,
Operand<? extends TNumber> segmentIds)
Factory method to create a class wrapping a new SegmentProd operation.
|
Output<T> |
output()
Gets output.
|
public static final String OP_NAME
public SegmentProd(Operation operation)
@Endpoint(describeByClass=true) public static <T extends TType> SegmentProd<T> create(Scope scope, Operand<T> data, Operand<? extends TNumber> segmentIds)
T
- data type for SegmentProd
output and operandsscope
- current scopedata
- The data valuesegmentIds
- A 1-D tensor whose size is equal to the size of data
's
first dimension. Values should be sorted and can be repeated.public Output<T> output()
k
, the number of segments.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 TType>
OperationBuilder.addInput(Output)
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