def __init__()

in src/sal/models/skywork_o1_prm/prm_model.py [0:0]


    def __init__(self, config, **kwargs):
        super().__init__()
        if not hasattr(config, "summary_dropout_prob"):
            summary_dropout_prob = kwargs.pop("summary_dropout_prob", 0.1)
        else:
            summary_dropout_prob = config.summary_dropout_prob

        self.dropout = (
            nn.Dropout(summary_dropout_prob) if summary_dropout_prob else nn.Identity()
        )

        # some models such as OPT have a projection layer before the word embeddings - e.g. OPT-350m
        if hasattr(config, "hidden_size"):
            hidden_size = config.hidden_size
        if hasattr(config, "word_embed_proj_dim"):
            hidden_size = config.word_embed_proj_dim
        elif hasattr(config, "is_encoder_decoder"):
            if config.is_encoder_decoder and hasattr(config, "decoder"):
                if hasattr(config.decoder, "hidden_size"):
                    hidden_size = config.decoder.hidden_size

        self.summary = nn.Linear(hidden_size, 1)

        self.flatten = nn.Flatten()