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

        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.