GPT-J_NVIDIA_TensorRT_Docker environment Failure

I am running the below command :

mlcr run-mlperf,inference,_find-performance,_full,_r5.0-dev \
   --model=gptj-99 \
   --implementation=nvidia \
   --framework=tensorrt \
   --category=edge \
   --scenario=Offline \
   --execution_mode=test \
   --device=cuda  \
   --docker --quiet \
   --test_query_count=50 –rerun

Attached the Log with the error .
mlperf_inference_GPT_J.txt

As directed in the MLcommons documentation running in the python environment.
I am trying to test NVIDIA RTX 3070
Host station details:
Ubuntu 20.04

Please let me know what is the issue and how to solve it? Similarly I tried running Resnet as well, I am seeing an issue there as well where the Git pull command is failing. Is there a FAQ or list of issues repository which I can refer to resolve such issues?

Start with the attached mlperf_inference_GPT_J.txt log and reproduce the documented mlcr command in the Python environment on Ubuntu 20.04 with --docker. Trace the GPT-J TensorRT failure first, keeping the separately reported ResNet git-pull problem out of scope. Done means the failure has a confirmed cause, a reproducible diagnosis, and a documented resolution or clear report of the missing environment requirement.