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bdd9175 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | """TinyCast model configuration.
Only the fields that shape the deployed model's construction / forward are
kept. Field defaults are the released model's values, so ``TinyCastConfig()`` alone
reconstructs the deployed architecture; loading from ``config.json`` overrides
them.
"""
from dataclasses import asdict, dataclass, field
from typing import List
@dataclass
class TinyCastConfig:
"""Configuration for the deployed TinyCast (dilated-conv) model."""
# --- input / output geometry -------------------------------------------
quantiles: List[float] = field(
default_factory=lambda: [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]
)
seq_len: int = 2048 # L: encoder context window
output_token_len: int = 48 # p: single-shot / AR-chunk horizon
# --- period detector (shared structural prior) -------------------------
top_k_periods: int = 4
significance_alpha: float = 0.05
n_harmonics: int = 1
# --- dilated-conv backbone ---------------------------------------------
conv_dim: int = 64
n_layers: int = 10
kernel_size: int = 3
ffn_mult: float = 1.0
pool_kind: str = "mean_last"
causal: bool = True
phase_bins: int = 16
decoder_depth: int = 1
separable_conv: bool = True
share_ffn: bool = True
future_conv: bool = True
future_conv_layers: int = 6
future_conv_seed: int = 128
@property
def num_quantiles(self) -> int:
return len(self.quantiles)
def to_dict(self) -> dict:
return asdict(self)
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