2034          ; mapped                 ; 2032 2032 2032 #1.1  TRIPLE PRIME
2035          ; valid                  ;      ; NV8    # 1.1  REVERSED PRIME
2036          ; mapped                 ; 2035 2035     # 1.1  REVERSED DOUBLE PRIME
2037          ; mapped                 ; 2035 2035 2035 #1.1  REVERSED TRIPLE PRIME
2038..203B    ; valid                  ;      ; NV8    # 1.1  CARET..REFERENCE MARK

flex-direction: row !important;\n}\n\n.flex-column {\n  -ms-flex-direction: column !important;\n  flex-direction: column !important;\n}\n\n.flex-row-reverse {\n  -ms-flex-direction: row-reverse !important;\n  flex-direction: row-reverse !important;\n}\n\n.flex-column-reverse {\n  -ms-flex-direction: column-reverse !important;\n  flex-direction: column-reverse !important;\n}\n\n.flex-wrap {\n  -ms-flex-wrap: wrap !important;\n  flex-wrap: wrap !important;\n}\n\n.flex-nowrap {\n  -ms-flex-wrap: nowrap !important;\n...

flex-direction: row !important;\n}\n\n.flex-column {\n  -ms-flex-direction: column !important;\n  flex-direction: column !important;\n}\n\n.flex-row-reverse {\n  -ms-flex-direction: row-reverse !important;\n  flex-direction: row-reverse !important;\n}\n\n.flex-column-reverse {\n  -ms-flex-direction: column-reverse !important;\n  flex-direction: column-reverse !important;\n}\n\n.flex-wrap {\n  -ms-flex-wrap: wrap !important;\n  flex-wrap: wrap !important;\n}\n\n.flex-nowrap {\n  -ms-flex-wrap: nowrap !important;\n...

}

def TF_ReverseV2Op : TF_Op<"ReverseV2", [Pure]> {
  let summary = "Reverses specific dimensions of a tensor.";

  let description = [{
Given a `tensor`, and a `int32` tensor `axis` representing the set of
dimensions of `tensor` to reverse. This operation reverses each dimension
`i` for which there exists `j` s.t. `axis[j] == i`.

tion:column!important;flex-direction:column!important}.flex-row-reverse{-ms-flex-direction:row-reverse!important;flex-direction:row-reverse!important}.flex-column-reverse{-ms-flex-direction:column-reverse!important;flex-direction:column-reverse!important}.flex-wrap{-ms-flex-wrap:wrap!important;flex-wrap:wrap!important}.flex-nowrap{-ms-flex-wrap:nowrap!important;flex-wrap:nowrap!important}.flex-wrap-reverse{-ms-flex-wrap:wrap-reverse!important;flex-wrap:wrap-reverse!important}.flex-fill{-ms-flex:1...

`tf.divide()` is now the recommended division function. `tf.div()` will remain,
but its semantics do not respond to Python 3 or `from future` mechanisms. *
tf.reverse() now takes indices of axes to be reversed. E.g. `tf.reverse(a,
[True, False, True])` must now be written as `tf.reverse(a, [0, 2])`.
`tf.reverse_v2()` will remain until 1.0 final. * `tf.mul`, `tf.sub` and `tf.neg`
are deprecated in favor of `tf.multiply`, `tf.subtract` and `tf.negative`. *

		{"OnesCount64", Func, 9},
		{"OnesCount8", Func, 9},
		{"Rem", Func, 14},
		{"Rem32", Func, 14},
		{"Rem64", Func, 14},
		{"Reverse", Func, 9},
		{"Reverse16", Func, 9},
		{"Reverse32", Func, 9},
		{"Reverse64", Func, 9},
		{"Reverse8", Func, 9},
		{"ReverseBytes", Func, 9},
		{"ReverseBytes16", Func, 9},
		{"ReverseBytes32", Func, 9},
		{"ReverseBytes64", Func, 9},