def test_lbfgs_cpu_model(tmpdir):
"""Test each of the trainer options."""
tutils.reset_seed()
trainer_options = dict(
default_save_path=tmpdir,
max_epochs=2,
show_progress_bar=False,
weights_summary='top',
train_percent_check=1.0,
val_percent_check=0.2,
)
model, hparams = tutils.get_model(use_test_model=True, lbfgs=True)
tutils.run_model_test_no_loggers(trainer_options, model, min_acc=0.30)
def test_default_logger_callbacks_cpu_model(tmpdir):
"""Test each of the trainer options."""
tutils.reset_seed()
trainer_options = dict(
default_save_path=tmpdir,
max_epochs=1,
gradient_clip_val=1.0,
overfit_pct=0.20,
show_progress_bar=False,
train_percent_check=0.01,
val_percent_check=0.01,
)
model, hparams = tutils.get_model()
tutils.run_model_test_no_loggers(trainer_options, model)
# test freeze on cpu
model.freeze()
model.unfreeze()
