1 files changed, 9 insertions, 6 deletions
diff --git a/tensorflow/core/api_def/base_api/api_def_UnsortedSegmentProd.pbtxt b/tensorflow/core/api_def/base_api/api_def_UnsortedSegmentProd.pbtxt
index efbc023705..9c8ea3b620 100644
--- a/tensorflow/core/api_def/base_api/api_def_UnsortedSegmentProd.pbtxt
+++ b/tensorflow/core/api_def/base_api/api_def_UnsortedSegmentProd.pbtxt
@@ -3,15 +3,15 @@ op {
   in_arg {
     name: "segment_ids"
     description: <<END
-A 1-D tensor whose rank is equal to the rank of `data`'s
-first dimension.
+A tensor whose shape is a prefix of `data.shape`.
 END
   }
   out_arg {
     name: "output"
     description: <<END
-Has same shape as data, except for dimension 0 which
-has size `num_segments`.
+Has same shape as data, except for the first `segment_ids.rank`
+dimensions, which are replaced with a single dimension which has size
+`num_segments`.
 END
   }
   summary: "Computes the product along segments of a tensor."
@@ -25,9 +25,12 @@ This operator is similar to the unsorted segment sum operator found
 Instead of computing the sum over segments, it computes the product of all
 entries belonging to a segment such that:
 
-\\(output_i = \prod_j data_j\\) where the product is over `j` such
-that `segment_ids[j] == i`.
+\\(output_i = \prod_{j...} data[j...]\\) where the product is over tuples
+`j...` such that `segment_ids[j...] == i`.
 
 If there is no entry for a given segment ID `i`, it outputs 1.
+
+If the given segment ID `i` is negative, then the corresponding value is
+dropped, and will not be included in the result.
 END
 }