{"Decl", Type, 0},
		{"DeclStmt", Type, 0},
		{"DeclStmt.Decl", Field, 0},
		{"DeferStmt", Type, 0},
		{"DeferStmt.Call", Field, 0},
		{"DeferStmt.Defer", Field, 0},
		{"Ellipsis", Type, 0},
		{"Ellipsis.Ellipsis", Field, 0},
		{"Ellipsis.Elt", Field, 0},
		{"EmptyStmt", Type, 0},
		{"EmptyStmt.Implicit", Field, 5},
		{"EmptyStmt.Semicolon", Field, 0},
		{"Expr", Type, 0},
		{"ExprStmt", Type, 0},

input subscripts. Furthermore, all dimensions mapping to the same axis label
must be equal.

Any of the input and output subscripts may contain at most a single ellipsis
(`...`). These ellipsis are mapped against dimensions not corresponding to any
named axis label. If two inputs contain ellipsis, then they are broadcasted
according to standard NumPy broadcasting
[rules](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html).

2018..2023    ; valid                  ;      ; NV8    # 1.1  LEFT SINGLE QUOTATION MARK..TRIANGULAR BULLET
2024..2026    ; disallowed                             # 1.1  ONE DOT LEADER..HORIZONTAL ELLIPSIS
2027          ; valid                  ;      ; NV8    # 1.1  HYPHENATION POINT
2028..202E    ; disallowed                             # 1.1  LINE SEPARATOR..RIGHT-TO-LEFT OVERRIDE

    *   Delete unused `Fingerprint64Map` op registration
    *   Add broadcasting support to `tf.matmul`.
    *   Add C++ Gradient for `BatchMatMulV2`.
    *   Add `tf.math.cumulative_logsumexp` operation.
    *   Add ellipsis (...) support for `tf.einsum()`.
    *   Add expand_composites argument to all `nest.*` methods.
    *   Added `strings.byte_split`.
    *   Add a new "result_type" parameter to `tf.strings.split`.