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hub / github.com/MarcCoru/locationencoder / setup

Method setup

data/checkerboarddataset.py:246–258  ·  view source on GitHub ↗
(self, stage: str)

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244 self.mean_dist, self.std_dist = calc_avg_distances(num_support, unit="deg")
245
246 def setup(self, stage: str):
247 self.train_ds = TensorDataset(*get_data(N_samples = self.num_samples,
248 N_support = self.num_support,
249 n_classes=self.num_classes,
250 seed=0))
251 self.valid_ds = TensorDataset(*get_data(N_samples = self.num_samples,
252 N_support = self.num_support,
253 n_classes=self.num_classes,
254 seed=1))
255 self.evalu_ds = TensorDataset(*get_data(N_samples = self.num_samples,
256 N_support = self.num_support,
257 n_classes=self.num_classes,
258 grid=True))
259
260 def train_dataloader(self):
261 return DataLoader(self.train_ds, batch_size=self.batch_size, shuffle=True)

Callers

nothing calls this directly

Calls 1

get_dataFunction · 0.70

Tested by

no test coverage detected