message: remove docs for selectv2
diff: op {
  graph_op_name: "SelectV2"
  - endpoint {
  - name: "Where3"
  - }
  - in_arg {
  - name: "t"
  - rename_to: "x"
  - description: <<END
  -= A `Tensor` which may have the same shape as `condition`.
  -If `condition` is rank 1, `t` may have higher rank,
  -but its first dimension must match the size of `condition`.
  -END
  - }
  - in_arg {
  - name: "e"
  - rename_to: "y"
  - description: <<END
  -= A `Tensor` with the same type and shape as `t`.
  -END
  - }
  - out_arg {
  - name: "output"
  - description: <<END
  -= A `Tensor` with the same type and shape as `t` and `e`.
  -END
  - }
  - summary: "Selects elements from `t` or `e`, depending on `condition`."
  - description: <<END
  -The `t`, and `e` tensors must all have the same shape, and the
  -output will also have that shape.
  -
  -The `condition` tensor must be a scalar if `t` and `e` are scalars.
  -If `t` and `e` are vectors or higher rank, then `condition` must be either a
  -scalar, a vector with size matching the first dimension of `t`, or must have
  -the same shape as `t`.
  -
  -The `condition` tensor acts as a mask that chooses, based on the value at each
  -element, whether the corresponding element / row in the output should be
  -taken from `t` (if true) or `e` (if false).
  -
  -If `condition` is a vector and `t` and `e` are higher rank matrices, then
  -it chooses which row (outer dimension) to copy from `t` and `e`.
  -If `condition` has the same shape as `t` and `e`, then it chooses which
  -element to copy from `t` and `e`.
  -
  -For example:
  -
  -```python
  -# 'condition' tensor is [[True, False]
  -# [False, True]]
  -# 't' is [[1, 2],
  -# [3, 4]]
  -# 'e' is [[5, 6],
  -# [7, 8]]
  -select(condition, t, e) # => [[1, 6], [7, 4]]
  -
  -
  -# 'condition' tensor is [True, False]
  -# 't' is [[1, 2],
  -# [3, 4]]
  -# 'e' is [[5, 6],
  -# [7, 8]]
  -select(condition, t, e) ==> [[1, 2],
  - [7, 8]]
  -
  -```
  -END
  }
  