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-rw-r--r--tensorflow/python/ops/array_ops.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/python/ops/array_ops.py b/tensorflow/python/ops/array_ops.py
index 361667ec49..ec6488ea63 100644
--- a/tensorflow/python/ops/array_ops.py
+++ b/tensorflow/python/ops/array_ops.py
@@ -636,10 +636,10 @@ def strided_slice(input_,
`foo[:4, tf.newaxis, :2]` would produce a shape `(4, 1, 2)` tensor.
If the ith bit of `shrink_axis_mask` is set, it implies that the ith
- specification shrinks the dimensionality by 1. `begin[i]`, `end[i]` and
- `strides[i]` must imply a slice of size 1 in the dimension. For example in
- Python one might do `foo[:, 3, :]` which would result in
- `shrink_axis_mask` equal to 2.
+ specification shrinks the dimensionality by 1, taking on the value at index
+ `begin[i]`. `end[i]` and `strides[i]` are ignored in this case. For example in
+ Python one might do `foo[:, 3, :]` which would result in `shrink_axis_mask`
+ equal to 2.
NOTE: `begin` and `end` are zero-indexed.