| | |
|---|
| | | vocab_size = len(tokenizer.token_list) |
|---|
| | | else: |
|---|
| | | vocab_size = -1 |
|---|
| | | pdb.set_trace() |
|---|
| | | # build frontend |
|---|
| | | frontend = kwargs.get("frontend", None) |
|---|
| | | pdb.set_trace() |
|---|
| | | |
|---|
| | | if frontend is not None: |
|---|
| | | pdb.set_trace() |
|---|
| | | frontend_class = tables.frontend_classes.get(frontend) |
|---|
| | | frontend = frontend_class(**kwargs["frontend_conf"]) |
|---|
| | | pdb.set_trace() |
|---|
| | | kwargs["frontend"] = frontend |
|---|
| | | kwargs["input_size"] = frontend.output_size() |
|---|
| | | pdb.set_trace() |
|---|
| | | |
|---|
| | | # build model |
|---|
| | | model_class = tables.model_classes.get(kwargs["model"]) |
|---|
| | | pdb.set_trace() |
|---|
| | | model = model_class(**kwargs, **kwargs["model_conf"], vocab_size=vocab_size) |
|---|
| | | |
|---|
| | | pdb.set_trace() |
|---|
| | | model.to(device) |
|---|
| | | |
|---|
| | | # init_param |
|---|
| | | init_param = kwargs.get("init_param", None) |
|---|
| | | pdb.set_trace() |
|---|
| | | if init_param is not None: |
|---|
| | | logging.info(f"Loading pretrained params from {init_param}") |
|---|
| | | load_pretrained_model( |
|---|
