torchbenchmark/models/timm_resnest/__init__.py (9 lines of code) (raw):
from torchbenchmark.util.framework.timm.model_factory import TimmModel
from torchbenchmark.tasks import COMPUTER_VISION
class Model(TimmModel):
task = COMPUTER_VISION.CLASSIFICATION
DEFAULT_TRAIN_BSIZE = 32
DEFAULT_EVAL_BSIZE = 32
def __init__(self, test, device, jit=False, batch_size=None, extra_args=[]):
super().__init__(test=test, model_name='resnest14d', device=device,
jit=jit, batch_size=batch_size, extra_args=extra_args)