@staticmethod<EOL><INDENT>def new(params, event_size, validate_args=False, name=None):<DEDENT>
with tf.compat.v1.name_scope(name, '<STR_LIT>',<EOL>[params, event_size]):<EOL><INDENT>params = tf.convert_to_tensor(value=params, name='<STR_LIT>')<EOL>scale_tril = tfb.ScaleTriL(<EOL>diag_shift=np.array(<NUM_LIT>, params.dtype.as_numpy_dtype()),<EOL>validate_args=validate_args)<EOL>return tfd.MultivariateNormalTriL(<EOL>loc=params[..., :event_size],<EOL>scale_tril=scale_tril(params[..., event_size:]),<EOL>validate_args=validate_args)<EOL><DEDENT>
Create the distribution instance from a `params` vector.