T
- data type for output()
output@Operator(group="sparse") public final class SparseSegmentSumWithNumSegments<T extends Number> extends PrimitiveOp implements Operand<T>
Like `SparseSegmentSum`, but allows missing ids in `segment_ids`. If an id is misisng, the `output` tensor at that position will be zeroed.
Read [the section on segmentation](https://tensorflow.org/api_docs/python/tf/sparse#Segmentation) for an explanation of segments.
For example:
c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]])
tf.sparse_segment_sum_with_num_segments(
c, tf.constant([0, 1]), tf.constant([0, 0]), num_segments=3)
# => [[0 0 0 0]
# [0 0 0 0]
# [0 0 0 0]]
tf.sparse_segment_sum_with_num_segments(c,
tf.constant([0, 1]),
tf.constant([0, 2],
num_segments=4))
# => [[ 1 2 3 4]
# [ 0 0 0 0]
# [-1 -2 -3 -4]
# [ 0 0 0 0]]
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number,U extends Number,V extends Number> |
create(Scope scope,
Operand<T> data,
Operand<U> indices,
Operand<Integer> segmentIds,
Operand<V> numSegments)
Factory method to create a class wrapping a new SparseSegmentSumWithNumSegments operation.
|
Output<T> |
output()
Has same shape as data, except for dimension 0 which
has size `num_segments`.
|
equals, hashCode, op, toString
public static <T extends Number,U extends Number,V extends Number> SparseSegmentSumWithNumSegments<T> create(Scope scope, Operand<T> data, Operand<U> indices, Operand<Integer> segmentIds, Operand<V> numSegments)
scope
- current scopedata
- indices
- A 1-D tensor. Has same rank as `segment_ids`.segmentIds
- A 1-D tensor. Values should be sorted and can be repeated.numSegments
- Should equal the number of distinct segment IDs.public Output<T> output()
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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