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hub / github.com/JuliaWolleb/diffusion-anomaly / create_argparser

Function create_argparser

scripts/classifier_train.py:249–270  ·  view source on GitHub ↗
()

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247
248
249def create_argparser():
250 defaults = dict(
251 data_dir="",
252 val_data_dir="",
253 noised=True,
254 iterations=150000,
255 lr=3e-4,
256 weight_decay=0.0,
257 anneal_lr=False,
258 batch_size=4,
259 microbatch=-1,
260 schedule_sampler="uniform",
261 resume_checkpoint="",
262 log_interval=1,
263 eval_interval=1000,
264 save_interval=5000,
265 dataset='brats'
266 )
267 defaults.update(classifier_and_diffusion_defaults())
268 parser = argparse.ArgumentParser()
269 add_dict_to_argparser(parser, defaults)
270 return parser
271
272
273if __name__ == "__main__":

Callers 1

mainFunction · 0.70

Calls 2

add_dict_to_argparserFunction · 0.90

Tested by

no test coverage detected