def assign_params_from_flat()

in spinup/utils/mpi_tf.py [0:0]

• 5 lines of code
• 5 McCabe index (conditional complexity)

def assign_params_from_flat(x, params):
    flat_size = lambda p : int(np.prod(p.shape.as_list())) # the 'int' is important for scalars
    splits = tf.split(x, [flat_size(p) for p in params])
    new_params = [tf.reshape(p_new, p.shape) for p, p_new in zip(params, splits)]
    return tf.group([tf.assign(p, p_new) for p, p_new in zip(params, new_params)])