debugging with pdb

[wtyuan96]

I wanted to debug this program with pdb, I ran command below

python -m pdb train.py \
   --dataset_name dtu \
   --root_dir $DTU_DIR \
   --num_epochs 16 --batch_size 2 \
   --depth_interval 2.65 --n_depths 8 32 48 --interval_ratios 1.0 2.0 4.0 \
   --optimizer adam --lr 1e-3 --lr_scheduler cosine \
   --exp_name exp

and set a breakpoint by

b dataset/dtu.py:148

and continue running the program with typing c，
Normally，the program should pause on dataset/dtu.py:148, but actually，the message below was printed and the program was restarted.

The program finished and will be restarted

But, when I set a breakpoint in model/mvsnet.py，the program paused as expected.
I am confused what is the difference between dataset/dtu.py and model/mvsnet.py when debugging with pdb，could you please help me out.

[wtyuan96]

I wanted to debug this program with pdb, I ran command below

python -m pdb train.py \
   --dataset_name dtu \
   --root_dir $DTU_DIR \
   --num_epochs 16 --batch_size 2 \
   --depth_interval 2.65 --n_depths 8 32 48 --interval_ratios 1.0 2.0 4.0 \
   --optimizer adam --lr 1e-3 --lr_scheduler cosine \
   --exp_name exp

and set a breakpoint by

b dataset/dtu.py:148

and continue running the program with typing c， Normally，the program should pause on dataset/dtu.py:148, but actually，the message below was printed and the program was restarted.

The program finished and will be restarted

But, when I set a breakpoint in model/mvsnet.py，the program paused as expected. I am confused what is the difference between dataset/dtu.py and model/mvsnet.py when debugging with pdb，could you please help me out.

I solved the problem when setting num_workers=0 which is the default setting of torch.utils.data.DataLoader.
Thanks.