Created by: yisampi

CUDA_VISIBLE_DEVICES=1 python img_classifier-ULMFiTStrategy.py [2020-04-17 22:26:24,264] [ INFO] - Installing efficientnetb7_imagenet module [2020-04-17 22:26:24,408] [ INFO] - Module efficientnetb7_imagenet already installed in /home/sam.yi/.paddlehub/modules/efficientnetb7_imagenet [2020-04-17 22:26:26,045] [ INFO] - 1037 pretrained paramaters loaded by PaddleHub [2020-04-17 22:26:26,180] [ INFO] - Dataset label map = {'normal': 0, 'recaptured': 1} [2020-04-17 22:26:26,180] [ INFO] - Checkpoint dir: cv_finetune_turtorial_demo_ULMFiTStrategy Traceback (most recent call last): File "img_classifier-ULMFiTStrategy.py", line 118, in finetune(args) File "img_classifier-ULMFiTStrategy.py", line 108, in finetune task.finetune_and_eval() File "/home/sam.yi/.local/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 864, in finetune_and_eval return self.finetune(do_eval=True) File "/home/sam.yi/.local/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 879, in finetune self.init_if_necessary() File "/home/sam.yi/.local/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 367, in init_if_necessary if not self.load_checkpoint(): File "/home/sam.yi/.local/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 833, in load_checkpoint main_program=self.main_program) File "/home/sam.yi/.local/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 508, in main_program self._build_env() File "/home/sam.yi/.local/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 425, in _build_env self.device_count) File "/home/sam.yi/.local/lib/python3.7/site-packages/paddlehub/finetune/strategy.py", line 477, in execute self.depth_params_dict = get_depth_parameter(self.main_program) File "/home/sam.yi/.local/lib/python3.7/site-packages/paddlehub/finetune/strategy.py", line 112, in get_depth_parameter updated_depth_params_dict[depth].append( KeyError: 6

set strategy to ULMFiTStrategy

strategy_ULMFiTStrategy = hub.ULMFiTStrategy(
learning_rate=1e-4,
optimizer_name="adam",
cut_fraction=0.1,
    ratio=32,
    dis_blocks=3,
    factor=2.6,
    frz_blocks=3)

config = hub.RunConfig( use_data_parallel=args.use_data_parallel, use_cuda=args.use_gpu, num_epoch=args.num_epoch, batch_size=args.batch_size, checkpoint_dir=args.checkpoint_dir, strategy=strategy_ULMFiTStrategy)

set --modul to efficientnetb7