Hi there,
I'm having facing an issue when trying to training SSD_ResNet34_PyTorch.
Inside macro_benchmark/SSD_ResNet34_PyTorch, if I run the default command:
python -u train.py --local_rank=0 --use-fp16 --nhwc --pad-input --jit --delay-allreduce --opt-loss --epochs 10 --batch-size 128 --max_iter 3200 --warmup-factor 0 --no-save
I get the following error:
Traceback (most recent call last):File "train.py", line 857, in <module> main()File "train.py", line 830, in main mlperf_compliance.mlperf_log.setdefault(AttributeError: module 'mlperf_compliance.mlperf_log' has no attribute 'setdefault'
I run that code inside the recommended docker image: nvcr.io/nvidia/pytorch:19.05-py3
Looking at mlperf_compliance lib, I don't see any 'setdefault' method.
Hi there, I'm having facing an issue when trying to training SSD_ResNet34_PyTorch.
Inside macro_benchmark/SSD_ResNet34_PyTorch, if I run the default command:
python -u train.py --local_rank=0 --use-fp16 --nhwc --pad-input --jit --delay-allreduce --opt-loss --epochs 10 --batch-size 128 --max_iter 3200 --warmup-factor 0 --no-saveI get the following error:
Traceback (most recent call last):File "train.py", line 857, in <module> main()File "train.py", line 830, in main mlperf_compliance.mlperf_log.setdefault(AttributeError: module 'mlperf_compliance.mlperf_log' has no attribute 'setdefault'I run that code inside the recommended docker image: nvcr.io/nvidia/pytorch:19.05-py3
Looking at mlperf_compliance lib, I don't see any 'setdefault' method.