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# Copyright (c) 2023-2024, Zexin He
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch
from abc import abstractmethod
from accelerate import Accelerator
from accelerate.logging import get_logger
from lam.runners.abstract import Runner
logger = get_logger(__name__)
class Inferrer(Runner):
EXP_TYPE: str = None
def __init__(self):
super().__init__()
torch._dynamo.config.disable = True
self.accelerator = Accelerator()
self.model : torch.nn.Module = None
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
pass
@property
def device(self):
return self.accelerator.device
@abstractmethod
def _build_model(self, cfg):
pass
@abstractmethod
def infer_single(self, *args, **kwargs):
pass
@abstractmethod
def infer(self):
pass
def run(self):
self.infer()
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