let description = [{
This operation computes the inverse of an index permutation. It takes a 1-D
integer tensor `x`, which represents the indices of a zero-based array, and
swaps each value with its index position. In other words, for an output tensor
`y` and an input tensor `x`, this operation computes the following:

`y[x[i]] = i for i in [0, 1, ..., len(x) - 1]`

        This utility can be used to warmstart an embeddings matrix so you
        reuse previously-learned word embeddings when working with a new set
        of words which may include previously unseen words (the embedding
        vectors for unseen words will be randomly initialized).

*   `tf.Variable`:

    *   Added `CompositeTensor` as a baseclass to `ResourceVariable`. This

		{"ListItem.Number", Field, 19},
		{"Paragraph", Type, 19},
		{"Paragraph.Text", Field, 19},
		{"Parser", Type, 19},
		{"Parser.LookupPackage", Field, 19},
		{"Parser.LookupSym", Field, 19},
		{"Parser.Words", Field, 19},
		{"Plain", Type, 19},
		{"Printer", Type, 19},
		{"Printer.DocLinkBaseURL", Field, 19},
		{"Printer.DocLinkURL", Field, 19},
		{"Printer.HeadingID", Field, 19},

            "type": "string"
          }
        },
        "required": [
          "maxSkew",

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