445e7e0b74495326ef6f90f238d16513a437d797,test/retiarii_test/mnasnet/test.py,,,#,14

Before Change

                                                trainer_kwargs={"max_epochs": 1})

    // new interface
    applied_mutators = []
    applied_mutators.append(BlockMutator("mutable_0"))
    applied_mutators.append(BlockMutator("mutable_1"))

    simple_startegy = TPEStrategy()

After Change

    base_model = MNASNet(0.5, _DEFAULT_DEPTHS, _DEFAULT_CONVOPS, _DEFAULT_KERNEL_SIZES,
                         _DEFAULT_NUM_LAYERS, _DEFAULT_SKIPS)

    train_transform = transforms.Compose([
        transforms.RandomCrop(32, padding=4),
        transforms.RandomHorizontalFlip(),
        transforms.ToTensor(),
        transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)),
    ])
    valid_transform = transforms.Compose([
        transforms.ToTensor(),
        transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)),

Instances