Method __init__

:param config: :param is_training: :param input_ids: Tensor thats of size [batch_size, seq_length] :param cache: Optionally, a tensor to use that will contain cached information of the size [batch_size, num_layers, 2, num_heads, cache_length, features]

(self,
                 config: GroverConfig,
                 is_training,
                 input_ids,
                 cache=None,
                 do_cache=False,
                 pad_token_id=0,
                 chop_off_last_token=True,
                 scope=None,
                 reuse=False)