torchbenchmark/models/mnasnet1_0/__init__.py (9 lines of code) (raw):
from torchbenchmark.util.framework.vision.model_factory import TorchVisionModel
from torchbenchmark.tasks import COMPUTER_VISION
class Model(TorchVisionModel):
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__(model_name="mnasnet1_0", test=test, device=device, jit=jit,
batch_size=batch_size, extra_args=extra_args)