codegen-350M-mono-measurement_pred-diamonds-seed1 / configuration_measurement_pred.py
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from abc import abstractmethod
from transformers import PretrainedConfig
class MeasurementPredictorConfig(PretrainedConfig):
def __init__(
self,
sensor_token=" omit",
sensor_loc_type="locs_from_token",
n_sensors=3,
use_aggregated=True,
sensors_weight = 0.7,
aggregate_weight=0.3,
**kwargs
):
self.sensor_token = sensor_token
self.sensor_loc_type = sensor_loc_type
self.n_sensors = n_sensors
self.use_aggregated = use_aggregated
self.sensors_weight = sensors_weight
self.aggregate_weight = aggregate_weight
super().__init__(**kwargs)
self.emb_dim = self.get_emb_dim()
@abstractmethod
def get_emb_dim(self):
raise NotImplementedError