args = nil
	} else if len(args) != len(macro.args) {
		in.Error("wrong arg count for macro", macro.name)
	}
	argMap := make(map[string][]Token)
	for i, arg := range args {
		argMap[macro.args[i]] = arg
	}
	return argMap
}

// collectArgument returns the actual tokens for a single argument of a macro.
// It also returns the token that terminated the argument, which will always

	return fmt.Sprintf("%d:%d", major, minor), nil
}

func filterLocalDisks(node, args string) ([]localDisk, error) {
	var result []localDisk

	argP, err := ellipses.FindEllipsesPatterns(args)
	if err != nil {
		return nil, err
	}
	exp := argP.Expand()

	if node == "" {
		for index, e := range exp {
			result = append(result, localDisk{index: index, path: strings.Join(e, "")})
		}
	} else {

        for more details about DTensor.

*   `tf.lite`:

    *   Added TFLite builtin op support for the following TF ops:
        *   `tf.math.argmin`/`tf.math.argmax` for input data type `tf.bool` on
            CPU.
        *   `tf.nn.gelu` op for output data type `tf.float32` and quantization
            on CPU.

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