ymwangg commented on a change in pull request #7562:
URL: https://github.com/apache/tvm/pull/7562#discussion_r585874296
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File path: python/tvm/relay/op/transform.py
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@@ -1450,6 +1450,61 @@ def sparse_reshape(sparse_indices, prev_shape,
new_shape):
return TupleWrapper(_make.sparse_reshape(sparse_indices, prev_shape,
new_shape), 2)
+def segment_sum(data, indices, num_segments=None):
+ """
+ Computes the sum along segments of a tensor. This op is much better
understood with
+ visualization articulated in the following links and examples at the end
of this docstring.
+
+
https://www.tensorflow.org/api_docs/python/tf/raw_ops/UnsortedSegmentSum?hl=fr
+
https://caffe2.ai/docs/sparse-operations.html#null__unsorted-segment-reduction-ops
+
+ Parameters
+ ----------
+ data : relay.Expr
+ Input floating point data
+ indices : relay.Expr
+ A 1-D tensor containing the indices of the rows to calculate the
output sum upon.
+ This tensor doesn't need to be sorted
+ num_segments : Optional[int]
+ An integer describing the shape of the zeroth dimension. If
unspecified, its calculated
Review comment:
```suggestion
An integer describing the shape of the zeroth dimension. If
unspecified, it calculates
```
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