message: Update tf.strided_slice documentation to reflect that end and strides are ignored when shrink_axis_mask is set.
diff: @@ -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.
  