Update ops-related pbtxt files.

Change: 151048554

1 files changed, 0 insertions, 53 deletions

diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt
index aa2177dba4..d17b52306d 100644
--- a/tensorflow/core/ops/ops.pbtxt
+++ b/tensorflow/core/ops/ops.pbtxt
@@ -25759,59 +25759,6 @@ op {
   description: "Read [the section on\nSegmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation\nof segments.\n\nComputes a tensor such that\n`(output[i] = sum_{j...} data[j...]` where the sum is over tuples `j...` such\nthat `segment_ids[j...] == i`.  Unlike `SegmentSum`, `segment_ids`\nneed not be sorted and need not cover all values in the full\nrange of valid values.\n\nIf the sum is empty for a given segment ID `i`, `output[i] = 0`.\n\n`num_segments` should equal the number of distinct segment IDs.\n\n<div style=\"width:70%; margin:auto; margin-bottom:10px; margin-top:20px;\">\n<img style=\"width:100%\" src=\"../../images/UnsortedSegmentSum.png\" alt>\n</div>"
 }
 op {
-  name: "UnsortedSegmentSum"
-  input_arg {
-    name: "data"
-    type_attr: "T"
-  }
-  input_arg {
-    name: "segment_ids"
-    description: "A tensor whose shape is a prefix of `data.shape`."
-    type_attr: "Tindices"
-  }
-  input_arg {
-    name: "num_segments"
-    type: DT_INT32
-  }
-  output_arg {
-    name: "output"
-    description: "Has same shape as data, except for the first `segment_ids.rank`\ndimensions, which are replaced with a single dimension which has size\n`num_segments`."
-    type_attr: "T"
-  }
-  attr {
-    name: "T"
-    type: "type"
-    allowed_values {
-      list {
-        type: DT_FLOAT
-        type: DT_DOUBLE
-        type: DT_INT64
-        type: DT_INT32
-        type: DT_UINT8
-        type: DT_UINT16
-        type: DT_INT16
-        type: DT_INT8
-        type: DT_QINT8
-        type: DT_QUINT8
-        type: DT_QINT32
-        type: DT_HALF
-      }
-    }
-  }
-  attr {
-    name: "Tindices"
-    type: "type"
-    allowed_values {
-      list {
-        type: DT_INT32
-        type: DT_INT64
-      }
-    }
-  }
-  summary: "Computes the max along segments of a tensor."
-  description: "Read [the section on\nSegmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation\nof segments.\n\nComputes a tensor such that\n\\\\(output_i = \\sum_j data_j\\\\) where sum is over `j` such\nthat `segment_ids[j] == i`. Unlike `SegmentSum`, `segment_ids`\nneed not be sorted and need not cover all values in the full\n  range of valid values.\n\nIf the sum is empty for a given segment ID `i`, `output[i] = 0`.\n\n`num_segments` should equal the number of distinct segment IDs.\n\n<div style=\"width:70%; margin:auto; margin-bottom:10px; margin-top:20px;\">\n<img style=\"width:100%\" src=\"../../images/UnsortedSegmentSum.png\" alt>\n</div>"
-}
-op {
   name: "Unstage"
   output_arg {
     name: "values"