def run_test():
# model = MyModel.load_from_metrics(
# weights_path='experiments/saved_batch_attn_rnn/model_weights/mimic_all/1/_ckpt_epoch_10.ckpt',
# tags_csv='experiments/saved_batch_attn_rnn/test_tube_data/mimic_all/version_1/meta_tags.csv',
# on_gpu=True,
# map_location=None
# )
# model = MyModel.load_from_metrics(
# weights_path='saved/rel_interval/model_weights/inner/1/_ckpt_epoch_9.ckpt',
# tags_csv='saved/rel_interval/test_tube_data/inner/version_1/meta_tags.csv',
# on_gpu=True,
# map_location=torch.device('cuda')
# )
# model = MyModel.load_from_metrics(
# weights_path='saved/rel_interval/model_weights/nash/1/_ckpt_epoch_4.ckpt',
# tags_csv='saved/rel_interval/test_tube_data/nash/version_1/meta_tags.csv',
# on_gpu=True,
# map_location=torch.device('cuda')
# )
# model = MyModel.load_from_metrics(
# weights_path='saved/rel_interval/model_weights/nash/6/_ckpt_epoch_4.ckpt',
# tags_csv='saved/rel_interval/test_tube_data/nash/version_6/meta_tags.csv',
# on_gpu=True,
# map_location=torch.device('cuda')
# )
# trainer = Trainer()
# trainer.test(model)
# model = MyModel.load_from_metrics(
# weights_path='saved/rel_interval/model_weights/nash/7/_ckpt_epoch_2.ckpt',
# tags_csv='saved/rel_interval/test_tube_data/nash/version_7/meta_tags.csv',
# on_gpu=True,
# map_location=torch.device('cuda')
# )
# trainer = Trainer()
# trainer.test(model)
model = MyModel.load_from_metrics(
weights_path=
'saved_seed1/rel_interval_layer_varient/model_weights/ad/0/_ckpt_epoch_8.ckpt',
tags_csv=
'saved_seed1/rel_interval_layer_varient/test_tube_data/ad/version_0/meta_tags.csv',
on_gpu=True,
map_location=torch.device('cuda'))
trainer = Trainer()
trainer.test(model)
def run_test():
# model = MyModel.load_from_metrics(
# weights_path='saved/retain/model_weights/inner/7/_ckpt_epoch_9.ckpt',
# tags_csv='saved/retain/test_tube_data/inner/version_7/meta_tags.csv',
# on_gpu=True,
# map_location=None,
# )
# model = MyModel.load_from_metrics(
# weights_path='saved/retain/model_weights/nash/2/_ckpt_epoch_22.ckpt',
# tags_csv='saved/retain/test_tube_data/nash/version_2/meta_tags.csv',
# on_gpu=True,
# map_location=None,
# )
# model = MyModel.load_from_metrics(
# weights_path='saved/retain/model_weights/nash/6/_ckpt_epoch_4.ckpt',
# tags_csv='saved/retain/test_tube_data/nash/version_6/meta_tags.csv',
# on_gpu=True,
# map_location=torch.device('cuda'),
# )
# trainer = Trainer()
# trainer.test(model)
# model = MyModel.load_from_metrics(
# weights_path='saved/retain/model_weights/nash/7/_ckpt_epoch_4.ckpt',
# tags_csv='saved/retain/test_tube_data/nash/version_7/meta_tags.csv',
# on_gpu=True,
# map_location=torch.device('cuda'),
# )
# trainer = Trainer()
# trainer.test(model)
model = MyModel.load_from_metrics(
weights_path='saved_seed1/retain/model_weights/ad/1/_ckpt_epoch_8.ckpt',
tags_csv='saved_seed1/retain/test_tube_data/ad/version_1/meta_tags.csv',
on_gpu=True,
map_location=torch.device('cuda'),
)
trainer = Trainer()
trainer.test(model)
def run_test():
# model = MyModel.load_from_metrics(
# weights_path='saved/tlstm/model_weights/nash/4/_ckpt_epoch_22.ckpt',
# tags_csv='saved/tlstm/test_tube_data/nash/version_4/meta_tags.csv',
# on_gpu=True,
# map_location=torch.device('cuda')
# )
# model = MyModel.load_from_metrics(
# weights_path='saved/tlstm/model_weights/ad/0/_ckpt_epoch_8.ckpt',
# tags_csv='saved/tlstm/test_tube_data/ad/version_0/meta_tags.csv',
# on_gpu=True,
# map_location=torch.device('cuda')
# )
# model = MyModel.load_from_metrics(
# weights_path='saved/tlstm/model_weights/nash/8/_ckpt_epoch_6.ckpt',
# tags_csv='saved/tlstm/test_tube_data/nash/version_10/meta_tags.csv',
# on_gpu=True,
# map_location=torch.device('cuda')
# )
# trainer = Trainer()
# trainer.test(model)
# model = MyModel.load_from_metrics(
# weights_path='saved/tlstm/model_weights/nash/9/_ckpt_epoch_6.ckpt',
# tags_csv='saved/tlstm/test_tube_data/nash/version_9/meta_tags.csv',
# on_gpu=True,
# map_location=torch.device('cuda')
# )
# trainer = Trainer()
# trainer.test(model)
model = MyModel.load_from_metrics(
weights_path='saved_seed1/tlstm/model_weights/ad/2/_ckpt_epoch_7.ckpt',
tags_csv='saved_seed1/tlstm/test_tube_data/ad/version_2/meta_tags.csv',
on_gpu=True,
map_location=torch.device('cuda'))
trainer = Trainer()
trainer.test(model)