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Amit Patankar
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Merge pull request #9291 from asimshankar/r1.1-9074
Docs: Fix #9074 in release branch
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‎tensorflow/core/ops/math_ops.cc‎

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@@ -1396,8 +1396,8 @@ REGISTER_OP("SegmentSum")
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.Doc(R"doc(
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Computes the sum along segments of a tensor.
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Read [the section on Segmentation](../../api_docs/python/math_ops.md#segmentation)
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for an explanation of segments.
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Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
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segments.
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Computes a tensor such that
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\\(output_i = \sum_j data_j\\) where sum is over `j` such
@@ -1406,7 +1406,7 @@ that `segment_ids[j] == i`.
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If the sum is empty for a given segment ID `i`, `output[i] = 0`.
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<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
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<img style="width:100%" src="../../images/SegmentSum.png" alt>
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<img style="width:100%" src="https://www.tensorflow.org/images/SegmentSum.png" alt>
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</div>
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segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@@ -1426,9 +1426,8 @@ REGISTER_OP("SegmentMean")
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.Doc(R"doc(
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Computes the mean along segments of a tensor.
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Read [the section on
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Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
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of segments.
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Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
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segments.
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Computes a tensor such that
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\\(output_i = \frac{\sum_j data_j}{N}\\) where `mean` is
@@ -1438,7 +1437,7 @@ values summed.
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If the mean is empty for a given segment ID `i`, `output[i] = 0`.
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<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
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<img style="width:100%" src="../../images/SegmentMean.png" alt>
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<img style="width:100%" src="https://www.tensorflow.org/images/SegmentMean.png" alt>
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</div>
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segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@@ -1458,9 +1457,8 @@ REGISTER_OP("SegmentProd")
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.Doc(R"doc(
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Computes the product along segments of a tensor.
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Read [the section on
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Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
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of segments.
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Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
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segments.
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Computes a tensor such that
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\\(output_i = \prod_j data_j\\) where the product is over `j` such
@@ -1469,7 +1467,7 @@ that `segment_ids[j] == i`.
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If the product is empty for a given segment ID `i`, `output[i] = 1`.
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<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
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<img style="width:100%" src="../../images/SegmentProd.png" alt>
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<img style="width:100%" src="https://www.tensorflow.org/images/SegmentProd.png" alt>
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</div>
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segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@@ -1489,9 +1487,8 @@ REGISTER_OP("SegmentMin")
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.Doc(R"doc(
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Computes the minimum along segments of a tensor.
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Read [the section on
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Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
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of segments.
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Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
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segments.
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Computes a tensor such that
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\\(output_i = \min_j(data_j)\\) where `min` is over `j` such
@@ -1500,7 +1497,7 @@ that `segment_ids[j] == i`.
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If the min is empty for a given segment ID `i`, `output[i] = 0`.
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<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
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<img style="width:100%" src="../../images/SegmentMin.png" alt>
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<img style="width:100%" src="https://www.tensorflow.org/images/SegmentMin.png" alt>
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</div>
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segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@@ -1520,8 +1517,8 @@ REGISTER_OP("SegmentMax")
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.Doc(R"doc(
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Computes the maximum along segments of a tensor.
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Read [the section on Segmentation](../../api_docs/python/math_ops.md#segmentation)
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for an explanation of segments.
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Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
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segments.
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Computes a tensor such that
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\\(output_i = \max_j(data_j)\\) where `max` is over `j` such
@@ -1530,7 +1527,7 @@ that `segment_ids[j] == i`.
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If the max is empty for a given segment ID `i`, `output[i] = 0`.
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<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
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<img style="width:100%" src="../../images/SegmentMax.png" alt>
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<img style="width:100%" src="https://www.tensorflow.org/images/SegmentMax.png" alt>
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</div>
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segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@@ -1551,9 +1548,8 @@ REGISTER_OP("UnsortedSegmentSum")
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.Doc(R"doc(
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Computes the sum along segments of a tensor.
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Read [the section on
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Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
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of segments.
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Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
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segments.
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Computes a tensor such that
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`(output[i] = sum_{j...} data[j...]` where the sum is over tuples `j...` such
@@ -1566,7 +1562,7 @@ If the sum is empty for a given segment ID `i`, `output[i] = 0`.
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`num_segments` should equal the number of distinct segment IDs.
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<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
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<img style="width:100%" src="../../images/UnsortedSegmentSum.png" alt>
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<img style="width:100%" src="https://www.tensorflow.org/images/UnsortedSegmentSum.png" alt>
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</div>
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segment_ids: A tensor whose shape is a prefix of `data.shape`.
@@ -1577,7 +1573,6 @@ output: Has same shape as data, except for the first `segment_ids.rank`
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)doc");
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REGISTER_OP("UnsortedSegmentMax")
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.Input("data: T")
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.Input("segment_ids: Tindices")
@@ -1589,11 +1584,10 @@ REGISTER_OP("UnsortedSegmentMax")
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.Doc(R"doc(
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Computes the Max along segments of a tensor.
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Read [the section on
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Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
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of segments.
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Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
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segments.
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This operator is similar to the [unsorted segment sum operator](../../api_docs/python/math_ops.md#UnsortedSegmentSum).
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This operator is similar to the [unsorted segment sum operator](../../../api_docs/python/math_ops.md#UnsortedSegmentSum).
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Instead of computing the sum over segments, it computes the maximum
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such that:
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@@ -1604,7 +1598,7 @@ If the maximum is empty for a given segment ID `i`, it outputs the smallest poss
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`output[i] = numeric_limits<T>::min()`.
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<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
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<img style="width:100%" src="../../images/UnsortedSegmentSum.png" alt>
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<img style="width:100%" src="https://www.tensorflow.org/images/UnsortedSegmentSum.png" alt>
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</div>
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segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@@ -1625,9 +1619,8 @@ REGISTER_OP("SparseSegmentSum")
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.Doc(R"doc(
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Computes the sum along sparse segments of a tensor.
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Read [the section on
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Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
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of segments.
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Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
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segments.
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Like `SegmentSum`, but `segment_ids` can have rank less than `data`'s first
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dimension, selecting a subset of dimension 0, specified by `indices`.
@@ -1674,9 +1667,8 @@ REGISTER_OP("SparseSegmentMean")
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.Doc(R"doc(
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Computes the mean along sparse segments of a tensor.
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Read [the section on
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Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
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of segments.
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Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
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segments.
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Like `SegmentMean`, but `segment_ids` can have rank less than `data`'s first
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dimension, selecting a subset of dimension 0, specified by `indices`.
@@ -1724,9 +1716,8 @@ Computes the sum along sparse segments of a tensor divided by the sqrt of N.
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N is the size of the segment being reduced.
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Read [the section on
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Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
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of segments.
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Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
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segments.
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indices: A 1-D tensor. Has same rank as `segment_ids`.
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