let hasCanonicalizer = 1;
}

def TF_OneHotOp : TF_Op<"OneHot", [Pure]> {
  let summary = "Returns a one-hot tensor.";

  let description = [{
The locations represented by indices in `indices` take value `on_value`,
while all other locations take value `off_value`.

If the input `indices` is rank `N`, the output will have rank `N+1`,
The new axis is created at dimension `axis` (default: the new axis is

          "resourceHandles": {

 * Improvements and fixes in Keras loss masking:

                        minLength: 1
                        type: string
                      type: array
                    fromHeaders:
                      description: List of header locations from which JWT is expected.
                      items:
                        properties:
                          name:
                            description: The HTTP header name.

        "properties": {
          "args": {