_C.SOLVER.TEST_PERIOD

[gzgz-code]

🐛 Bug

To Reproduce

I encountered this problem while running maskrcnn，defaults.py file have _C.SOLVER.TEST_PERIOD = 0 ，but when I debug this code , it can not read this attribute , does anyone have this problem？I would appreciate it if you could help me solve this problem.

train function: data_loader = make_data_loader( cfg, is_train=True, is_distributed=distributed, start_iter=arguments["iteration"], )

test_period = cfg.SOLVER.TEST_PERIOD
if test_period > 0:
    data_loader_val = make_data_loader(cfg, is_train=False, is_distributed=distributed, is_for_period=True)
else:
    data_loader_val = None

Expected behavior

Traceback (most recent call last): File "/home/hyh/Code/python/CL/CL_OBJECT_DETECTION/source/maskrcnn-benchmark/tools/train_net.py", line 202, in main() File "/home/hyh/Code/python/CL/CL_OBJECT_DETECTION/source/maskrcnn-benchmark/tools/train_net.py", line 195, in main model = train(cfg, args.local_rank, args.distributed) File "/home/hyh/Code/python/CL/CL_OBJECT_DETECTION/source/maskrcnn-benchmark/tools/train_net.py", line 76, in train test_period = cfg.SOLVER.TEST_PERIOD File "/home/hyh/anaconda3/envs/maskrcnn/lib/python3.8/site-packages/yacs/config.py", line 141, in getattr raise AttributeError(name) AttributeError: TEST_PERIOD

Environment

Please copy and paste the output from the environment collection script from PyTorch (or fill out the checklist below manually).

You can get the script and run it with:

wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
# For security purposes, please check the contents of collect_env.py before running it.
python collect_env.py

• PyTorch Version (e.g., 1.0):1.6.0
• OS (e.g., Linux):ubuntu
• How you installed PyTorch (conda, pip, source):conda
• Build command you used (if compiling from source):--config-file "/home/hyh/Code/python/CL/CL_OBJECT_DETECTION/copy/maskrcnn-benchmark/configs/e2e_mask_rcnn_R_50_C4_1x.yaml" SOLVER.IMS_PER_BATCH 2 SOLVER.BASE_LR 0.0025 SOLVER.MAX_ITER 720000 SOLVER.STEPS "(480000, 640000)" TEST.IMS_PER_BATCH 1 MODEL.RPN.FPN_POST_NMS_TOP_N_TRAIN 2000
• Python version:3.8
• CUDA/cuDNN version:10.1
• GPU models and configuration:GTX2080
• Any other relevant information:

Additional context