tf.raw_ops.SegmentSumV2
Computes the sum along segments of a tensor.
tf.raw_ops.SegmentSumV2(
data, segment_ids, num_segments, name=None
)
Read the section on segmentation for an explanation of segments.
Computes a tensor such that \(output_i = \sum_j data_j\) where sum is over j such that segment_ids[j] == i.
If the sum is empty for a given segment ID i, output[i] = 0.
Note that this op is currently only supported with jit_compile=True.
| Args | |
|---|---|
data | A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, qint16, quint16, uint16, complex128, half, uint32, uint64. |
segment_ids | A Tensor. Must be one of the following types: int32, int64. A 1-D tensor whose size is equal to the size of data's first dimension. Values should be sorted and can be repeated. The values must be less than num_segments.
|
num_segments | A Tensor. Must be one of the following types: int32, int64. |
name | A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as data. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/raw_ops/SegmentSumV2
