_base_ = [
    'configs/_base_/models/vgg16.py',
    'configs/_base_/datasets/tiny_imagenet_bs32_pil_resize.py',
    'configs/_base_/schedules/imagenet_bs256.py',
    'configs/_base_/default_runtime.py',
]

import torch
torch.backends.cuda.matmul.allow_tf32=True
torch.backends.cudnn.allow_tf32=True

# schedule settings
optim_wrapper = dict(
        #type='AmpOptimWrapper',
        #dtype='float16',
        optimizer=dict(lr=0.01)
    )

