gpt-pretrain/custom_models/__init__.py

53 lines
1.3 KiB
Python

import importlib
from collections import OrderedDict
from transformers.models.auto import auto_factory, configuration_auto
class _LazyAutoMapping(auto_factory._LazyAutoMapping):
def _load_attr_from_module(self, model_type, attr):
module_name = auto_factory.model_type_to_module_name(model_type)
if module_name not in self._modules:
self._modules[module_name] = importlib.import_module(
f".{module_name}", "custom_models"
)
return auto_factory.getattribute_from_module(self._modules[module_name], attr)
MODEL_MAPPING_NAMES = OrderedDict(
[
("gpt2", "GPT2Model"),
]
)
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES = OrderedDict(
[
("gpt2", "GPT2LMHeadModel"),
]
)
MODEL_MAPPING = _LazyAutoMapping(
configuration_auto.CONFIG_MAPPING_NAMES, MODEL_MAPPING_NAMES
)
MODEL_FOR_CAUSAL_LM_MAPPING = _LazyAutoMapping(
configuration_auto.CONFIG_MAPPING_NAMES, MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
)
class AutoModel(auto_factory._BaseAutoModelClass):
_model_mapping = MODEL_MAPPING
AutoModel = auto_factory.auto_class_update(AutoModel)
class AutoModelForCausalLM(auto_factory._BaseAutoModelClass):
_model_mapping = MODEL_FOR_CAUSAL_LM_MAPPING
AutoModelForCausalLM = auto_factory.auto_class_update(AutoModelForCausalLM)