from transformers import PretrainedConfig

class GPTConfig(PretrainedConfig):
    model_type = "custom_gpt"

    def __init__(
        self,
        block_size=1024,
        vocab_size=50304,
        n_layer=12,
        n_head=12,
        n_embd=768,
        dropout=0.0,
        bias=True,
        hc_num_streams=1,
        hc_num_fracs=1,
        hc_disable=False,
        mhc=False,
        sinkhorn_iters=10,
        sinkhorn_tau=0.05,
        mhc_h_res_proj="sinkhorn",
        ns_steps=5,
        ns_eps=1e-7,
        ns_coeffs=(3.0, -3.2, 1.2),
        **kwargs,
    ):
        super().__init__(**kwargs)

        self.block_size = block_size
        self.vocab_size = vocab_size
        self.n_layer = n_layer
        self.n_head = n_head
        self.n_embd = n_embd
        self.dropout = dropout
        self.bias = bias

        self.hc_num_streams = hc_num_streams
        self.hc_num_fracs = hc_num_fracs
        self.hc_disable = hc_disable
        self.mhc = mhc
        self.sinkhorn_iters = sinkhorn_iters
        self.sinkhorn_tau = sinkhorn_tau
        self.mhc_h_res_proj = mhc_h_res_proj
        self.ns_steps = ns_steps
        self.ns_eps = ns_eps
        self.ns_coeffs = ns_coeffs