def test_creation_saving_restoring(self):
cfg = AAYNBaseConfig()
cfg.encoder_tokenizer.tokenizer_name = 'yttm'
cfg.encoder_tokenizer.tokenizer_model = 'tests/.data/yttm.4096.en-de.model'
cfg.decoder_tokenizer.tokenizer_name = 'yttm'
cfg.decoder_tokenizer.tokenizer_model = 'tests/.data/yttm.4096.en-de.model'
cfg.train_ds = None
cfg.validation_ds = None
cfg.test_ds = None
model = MTEncDecModel(cfg=cfg)
assert isinstance(model, MTEncDecModel)
# Create a new temporary directory
with tempfile.TemporaryDirectory() as restore_folder:
with tempfile.TemporaryDirectory() as save_folder:
save_folder_path = save_folder
# Where model will be saved
model_save_path = os.path.join(
save_folder, f"{model.__class__.__name__}.nemo")
model.save_to(save_path=model_save_path)
# Where model will be restored from
model_restore_path = os.path.join(
restore_folder, f"{model.__class__.__name__}.nemo")
shutil.copy(model_save_path, model_restore_path)
# at this point save_folder should not exist
assert save_folder_path is not None and not os.path.exists(
save_folder_path)
assert not os.path.exists(model_save_path)
assert os.path.exists(model_restore_path)
# attempt to restore
model_copy = model.__class__.restore_from(
restore_path=model_restore_path)
assert model.num_weights == model_copy.num_weights
def get_cfg():
cfg = AAYNBaseConfig()
cfg.encoder_tokenizer.tokenizer_name = 'yttm'
cfg.encoder_tokenizer.tokenizer_model = 'tests/.data/yttm.4096.en-de.model'
cfg.decoder_tokenizer.tokenizer_name = 'yttm'
cfg.decoder_tokenizer.tokenizer_model = 'tests/.data/yttm.4096.en-de.model'
cfg.train_ds = None
cfg.validation_ds = None
cfg.test_ds = None
return cfg