Qi Potian

Thank you for your reply! For example,there are some codes in class Runner in run.py def _get_model(config, outputfun=sys.stdout): vocabulary = config["vocabulary"] encoder = getattr( encoder1, config["encoder"])( config["data"]["raw_feat_dim"], config["data"]["fc_feat_dim"], config["data"]["attn_feat_dim"], **config["encoder_args"]...

Although in https://github.com/wsntxxn/AudioCaption/blob/dcase2021/captioning/ignite_runners/run.py, these hyperparameters also lack. class Runner(BaseRunner): @staticmethod def _get_model(config, outputfun=sys.stdout): vocabulary = config["vocabulary"] encoder = getattr( captioning.models.encoder, config["encoder"])( config["data"]["raw_feat_dim"], config["data"]["fc_feat_dim"], config["data"]["attn_feat_dim"], **config["encoder_args"] ) These hyperparameters also need...

> These are automatically generated during training: https://github.com/wsntxxn/AudioCaption/blob/dcase2021/captioning/ignite_runners/run.py#L122, https://github.com/wsntxxn/AudioCaption/blob/dcase2021/captioning/ignite_runners/run.py#L297. I'm so sorry to bother you another time. In the code of dcase2021, performing "prepare data" operations does not affect the...