Repository: mlcommons/inference
Issue: Fail to run the 3d-unet-99 with error "No matching distribution found for nvidia-nvcomp-cu12" after my mlc upgrade.
Root cause: External Dependency Breakage


Fail to run the 3d-unet-99 with error "No matching distribution found for nvidia-nvcomp-cu12" after my mlc upgrade.

 mlcr run-mlperf,inference,_find-performance,_full,_r5.0-dev \
   --model=3d-unet-99 \
   --implementation=nvidia \
   --framework=tensorrt \
   --category=edge \
   --scenario=Offline \
   --execution_mode=test \
   --device=cuda  \
   --docker --quiet \
   --test_query_count=50

I re-try some other benchmark and got the same error.


<pre>237.0 [2025-05-08 03:34:34,729 module.py:5121 INFO] -              ! call /home/mlcuser/MLC/repos/mlcommons@mlperf-automations/script/get-generic-python-lib/install.sh from tmp-run.sh
237.0 
237.0 /usr/bin/python3 -m pip install &quot;nvidia-dali-cuda120&quot; --upgrade --default-timeout=900 --extra-index-url https://developer.download.nvidia.com/compute/redist
237.8 Looking in indexes: https://pypi.org/simple, https://developer.download.nvidia.com/compute/redist
241.8 Collecting nvidia-dali-cuda120
242.0   Downloading https://developer.download.nvidia.cn/compute/redist/nvidia-dali-cuda120/nvidia_dali_cuda120-1.49.0-py3-none-manylinux2014_x86_64.whl (435.7 MB)
268.1 Collecting astunparse&lt;=1.6.3,&gt;=1.6.0
268.5   Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
270.5 Collecting nvidia-nvimgcodec-cu12[all]&lt;0.6.0,&gt;=0.5.0
270.7   Downloading nvidia_nvimgcodec_cu12-0.5.0.13-py3-none-manylinux2014_x86_64.whl (23.3 MB)
279.9 Collecting dm-tree&lt;=0.1.8; python_version &lt; &quot;3.10&quot;
280.1   Downloading dm_tree-0.1.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (152 kB)
281.9 Collecting packaging&lt;=24.2
282.1   Downloading packaging-24.2-py3-none-any.whl (65 kB)
282.2 Requirement already satisfied, skipping upgrade: six&lt;=1.17,&gt;=1.16 in /home/mlcuser/.local/lib/python3.8/site-packages (from nvidia-dali-cuda120) (1.17.0)
283.8 Collecting gast&lt;=0.6.0,&gt;=0.3.3
284.0   Downloading gast-0.6.0-py3-none-any.whl (21 kB)
284.0 Requirement already satisfied, skipping upgrade: wheel&lt;1.0,&gt;=0.23.0 in /usr/lib/python3/dist-packages (from astunparse&lt;=1.6.3,&gt;=1.6.0-&gt;nvidia-dali-cuda120) (0.34.2)
285.9 Collecting nvidia-nvjpeg2k-cu12; extra == &quot;all&quot;
286.1   Downloading nvidia_nvjpeg2k_cu12-0.8.1.40-py3-none-manylinux2014_x86_64.whl (3.8 MB)
290.1 ERROR: Could not find a version that satisfies the requirement nvidia-nvcomp-cu12; extra == &quot;all&quot; (from nvidia-nvimgcodec-cu12[all]&lt;0.6.0,&gt;=0.5.0-&gt;nvidia-dali-cuda120) (from versions: none)
290.3 ERROR: No matching distribution found for nvidia-nvcomp-cu12; extra == &quot;all&quot; (from nvidia-nvimgcodec-cu12[all]&lt;0.6.0,&gt;=0.5.0-&gt;nvidia-dali-cuda120)
290.4 Traceback (most recent call last):
290.4   File &quot;/home/mlcuser/.local/bin/mlcr&quot;, line 8, in &lt;module&gt;
290.4     sys.exit(mlcr())
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/main.py&quot;, line 86, in mlcr
290.4     main()
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/main.py&quot;, line 242, in main
290.4     res = method(run_args)
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/script_action.py&quot;, line 305, in run
290.4     return self.call_script_module_function(&quot;run&quot;, run_args)
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/script_action.py&quot;, line 231, in call_script_module_function
290.4     result = automation_instance.run(run_args)  # Pass args to the run method
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 226, in run
290.4     r = self._run(i)
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 1856, in _run
290.4     r = self._call_run_deps(prehook_deps, self.local_env_keys, local_env_keys_from_meta, env, state, const, const_state, add_deps_recursive,
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 3317, in _call_run_deps
290.4     r = script._run_deps(deps, local_env_keys, env, state, const, const_state, add_deps_recursive, recursion_spaces,
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 3485, in _run_deps
290.4     r = self.action_object.access(ii)
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/action.py&quot;, line 56, in access
290.4     result = method(options)
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/script_action.py&quot;, line 305, in run
290.4     return self.call_script_module_function(&quot;run&quot;, run_args)
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/script_action.py&quot;, line 231, in call_script_module_function
290.4     result = automation_instance.run(run_args)  # Pass args to the run method
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 226, in run
290.4     r = self._run(i)
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 1641, in _run
290.4     r = self._call_run_deps(deps, self.local_env_keys, local_env_keys_from_meta, env, state, const, const_state, add_deps_recursive,
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 3317, in _call_run_deps
290.4     r = script._run_deps(deps, local_env_keys, env, state, const, const_state, add_deps_recursive, recursion_spaces,
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 3485, in _run_deps
290.4     r = self.action_object.access(ii)
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/action.py&quot;, line 56, in access
290.4     result = method(options)
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/script_action.py&quot;, line 305, in run
290.4     return self.call_script_module_function(&quot;run&quot;, run_args)
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/script_action.py&quot;, line 231, in call_script_module_function
290.4     result = automation_instance.run(run_args)  # Pass args to the run method
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 226, in run
290.4     r = self._run(i)
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 1641, in _run
290.4     r = self._call_run_deps(deps, self.local_env_keys, local_env_keys_from_meta, env, state, const, const_state, add_deps_recursive,
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 3317, in _call_run_deps
290.4     r = script._run_deps(deps, local_env_keys, env, state, const, const_state, add_deps_recursive, recursion_spaces,
290.4   File &quot;/home/mlcuser/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 3485, in _run_deps
290.4     r = self.action_object.access(ii)
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/action.py&quot;, line 56, in access
290.4     result = method(options)
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/script_action.py&quot;, line 305, in run
290.4     return self.call_script_module_function(&quot;run&quot;, run_args)
290.4   File &quot;/home/mlcuser/.local/lib/python3.8/site-packages/mlc/script_action.py&quot;, line 241, in call_script_module_function
290.4     raise ScriptExecutionError(f&quot;Script {function_name} execution failed. Error : {error}&quot;)
290.4 mlc.script_action.ScriptExecutionError: Script run execution failed. Error : MLC script failed (name = get-generic-python-lib, return code = 256)
290.4 
290.4 
290.4 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
290.4 Please file an issue at https://github.com/mlcommons/mlperf-automations/issues along with the full MLC command being run and the relevant
290.4 or full console log.
290.4 
------

 <font color="#A2734C">1 warning found (use docker --debug to expand):</font>
 - SecretsUsedInArgOrEnv: Do not use ARG or ENV instructions for sensitive data (ARG &quot;MLC_GH_TOKEN&quot;) (line 12)
nvcr.io-nvidia-mlperf-mlperf-inference-mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile:44
--------------------
  42 |     
  43 |     # Run commands
  44 | &gt;&gt;&gt; RUN mlc pull repo &amp;&amp; mlcr --tags=app,mlperf,inference,generic,_nvidia,_3d-unet-99,_tensorrt,_cuda,_test,_r5.0-dev_default,_offline --quiet=true --env.MLC_QUIET=yes --env.MLC_MLPERF_IMPLEMENTATION=nvidia --env.MLC_MLPERF_MODEL=3d-unet-99 --env.MLC_MLPERF_RUN_STYLE=test --env.MLC_MLPERF_SKIP_SUBMISSION_GENERATION=False --env.MLC_DOCKER_PRIVILEGED_MODE=True --env.MLC_MLPERF_SUBMISSION_DIVISION=open --env.MLC_MLPERF_INFERENCE_TP_SIZE=1 --env.MLC_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.MLC_MLPERF_DEVICE=cuda --env.MLC_MLPERF_USE_DOCKER=True --env.MLC_MLPERF_BACKEND=tensorrt --env.MLC_MLPERF_LOADGEN_SCENARIO=Offline --env.MLC_TEST_QUERY_COUNT=50 --env.MLC_MLPERF_FIND_PERFORMANCE_MODE=yes --env.MLC_MLPERF_LOADGEN_ALL_MODES=no --env.MLC_MLPERF_LOADGEN_MODE=performance --env.MLC_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.MLC_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.MLC_MLPERF_INFERENCE_VERSION=5.0-dev --env.MLC_RUN_MLPERF_INFERENCE_APP_DEFAULTS=r5.0-dev_default --env.MLC_MLPERF_SUBMISSION_CHECKER_VERSION=v5.0 --env.MLC_MLPERF_INFERENCE_SOURCE_VERSION=5.0.16 --env.MLC_MLPERF_LAST_RELEASE=v5.0 --env.MLC_MLPERF_INFERENCE_RESULTS_VERSION=r5.0-dev --env.MLC_MODEL=3d-unet-99 --env.MLC_MLPERF_LOADGEN_COMPLIANCE=no --env.MLC_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.MLC_MLPERF_LOADGEN_SCENARIOS,=Offline --env.MLC_MLPERF_LOADGEN_MODES,=performance --env.MLC_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --add_deps_recursive.coco2014-dataset.tags=_full --add_deps_recursive.igbh-dataset.tags=_full --add_deps_recursive.get-mlperf-inference-results-dir.tags=_version.r5.0-dev --add_deps_recursive.get-mlperf-inference-submission-dir.tags=_version.r5.0-dev --add_deps_recursive.mlperf-inference-nvidia-scratch-space.tags=_version.r5.0-dev --print_env=False --print_deps=False --dump_version_info=True --quiet --fake_run --env.MLC_RUN_STATE_DOCKER=True  
  45 |     RUN mlc pull repo &amp;&amp; mlcr --tags=app,mlperf,inference,generic,_nvidia,_3d-unet-99,_tensorrt,_cuda,_test,_r5.0-dev_default,_offline --quiet=true --env.MLC_QUIET=yes --env.MLC_MLPERF_IMPLEMENTATION=nvidia --env.MLC_MLPERF_MODEL=3d-unet-99 --env.MLC_MLPERF_RUN_STYLE=test --env.MLC_MLPERF_SKIP_SUBMISSION_GENERATION=False --env.MLC_DOCKER_PRIVILEGED_MODE=True --env.MLC_MLPERF_SUBMISSION_DIVISION=open --env.MLC_MLPERF_INFERENCE_TP_SIZE=1 --env.MLC_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.MLC_MLPERF_DEVICE=cuda --env.MLC_MLPERF_USE_DOCKER=True --env.MLC_MLPERF_BACKEND=tensorrt --env.MLC_MLPERF_LOADGEN_SCENARIO=Offline --env.MLC_TEST_QUERY_COUNT=50 --env.MLC_MLPERF_FIND_PERFORMANCE_MODE=yes --env.MLC_MLPERF_LOADGEN_ALL_MODES=no --env.MLC_MLPERF_LOADGEN_MODE=performance --env.MLC_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.MLC_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.MLC_MLPERF_INFERENCE_VERSION=5.0-dev --env.MLC_RUN_MLPERF_INFERENCE_APP_DEFAULTS=r5.0-dev_default --env.MLC_MLPERF_SUBMISSION_CHECKER_VERSION=v5.0 --env.MLC_MLPERF_INFERENCE_SOURCE_VERSION=5.0.16 --env.MLC_MLPERF_LAST_RELEASE=v5.0 --env.MLC_MLPERF_INFERENCE_RESULTS_VERSION=r5.0-dev --env.MLC_MODEL=3d-unet-99 --env.MLC_MLPERF_LOADGEN_COMPLIANCE=no --env.MLC_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.MLC_MLPERF_LOADGEN_SCENARIOS,=Offline --env.MLC_MLPERF_LOADGEN_MODES,=performance --env.MLC_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --add_deps_recursive.coco2014-dataset.tags=_full --add_deps_recursive.igbh-dataset.tags=_full --add_deps_recursive.get-mlperf-inference-results-dir.tags=_version.r5.0-dev --add_deps_recursive.get-mlperf-inference-submission-dir.tags=_version.r5.0-dev --add_deps_recursive.mlperf-inference-nvidia-scratch-space.tags=_version.r5.0-dev --print_env=False --print_deps=False --dump_version_info=True --quiet --env.MLC_RUN_STATE_DOCKER=True 
  46 |     
--------------------
ERROR: failed to solve: process &quot;/bin/sh -c mlc pull repo &amp;&amp; mlcr --tags=app,mlperf,inference,generic,_nvidia,_3d-unet-99,_tensorrt,_cuda,_test,_r5.0-dev_default,_offline --quiet=true --env.MLC_QUIET=yes --env.MLC_MLPERF_IMPLEMENTATION=nvidia --env.MLC_MLPERF_MODEL=3d-unet-99 --env.MLC_MLPERF_RUN_STYLE=test --env.MLC_MLPERF_SKIP_SUBMISSION_GENERATION=False --env.MLC_DOCKER_PRIVILEGED_MODE=True --env.MLC_MLPERF_SUBMISSION_DIVISION=open --env.MLC_MLPERF_INFERENCE_TP_SIZE=1 --env.MLC_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.MLC_MLPERF_DEVICE=cuda --env.MLC_MLPERF_USE_DOCKER=True --env.MLC_MLPERF_BACKEND=tensorrt --env.MLC_MLPERF_LOADGEN_SCENARIO=Offline --env.MLC_TEST_QUERY_COUNT=50 --env.MLC_MLPERF_FIND_PERFORMANCE_MODE=yes --env.MLC_MLPERF_LOADGEN_ALL_MODES=no --env.MLC_MLPERF_LOADGEN_MODE=performance --env.MLC_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.MLC_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.MLC_MLPERF_INFERENCE_VERSION=5.0-dev --env.MLC_RUN_MLPERF_INFERENCE_APP_DEFAULTS=r5.0-dev_default --env.MLC_MLPERF_SUBMISSION_CHECKER_VERSION=v5.0 --env.MLC_MLPERF_INFERENCE_SOURCE_VERSION=5.0.16 --env.MLC_MLPERF_LAST_RELEASE=v5.0 --env.MLC_MLPERF_INFERENCE_RESULTS_VERSION=r5.0-dev --env.MLC_MODEL=3d-unet-99 --env.MLC_MLPERF_LOADGEN_COMPLIANCE=no --env.MLC_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.MLC_MLPERF_LOADGEN_SCENARIOS,=Offline --env.MLC_MLPERF_LOADGEN_MODES,=performance --env.MLC_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --add_deps_recursive.coco2014-dataset.tags=_full --add_deps_recursive.igbh-dataset.tags=_full --add_deps_recursive.get-mlperf-inference-results-dir.tags=_version.r5.0-dev --add_deps_recursive.get-mlperf-inference-submission-dir.tags=_version.r5.0-dev --add_deps_recursive.mlperf-inference-nvidia-scratch-space.tags=_version.r5.0-dev --print_env=False --print_deps=False --dump_version_info=True --quiet --fake_run --env.MLC_RUN_STATE_DOCKER=True&quot; did not complete successfully: exit code: 1
Traceback (most recent call last):
  File &quot;/home/test/mlc/bin/mlcr&quot;, line 8, in &lt;module&gt;
    sys.exit(mlcr())
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/main.py&quot;, line 86, in mlcr
    main()
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/main.py&quot;, line 242, in main
    res = method(run_args)
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/script_action.py&quot;, line 305, in run
    return self.call_script_module_function(&quot;run&quot;, run_args)
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/script_action.py&quot;, line 231, in call_script_module_function
    result = automation_instance.run(run_args)  # Pass args to the run method
  File &quot;/home/test/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 226, in run
    r = self._run(i)
  File &quot;/home/test/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 1782, in _run
    r = customize_code.preprocess(ii)
  File &quot;/home/test/MLC/repos/mlcommons@mlperf-automations/script/run-mlperf-inference-app/customize.py&quot;, line 285, in preprocess
    r = mlc.access(ii)
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/action.py&quot;, line 56, in access
    result = method(options)
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/script_action.py&quot;, line 283, in docker
    return self.call_script_module_function(&quot;docker&quot;, run_args)
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/script_action.py&quot;, line 233, in call_script_module_function
    result = automation_instance.docker(run_args)  # Pass args to the run method
  File &quot;/home/test/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 4470, in docker
    return docker_run(self, i)
  File &quot;/home/test/MLC/repos/mlcommons@mlperf-automations/automation/script/docker.py&quot;, line 415, in docker_run
    r = self_module.action_object.access(mlc_docker_input)
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/action.py&quot;, line 56, in access
    result = method(options)
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/script_action.py&quot;, line 305, in run
    return self.call_script_module_function(&quot;run&quot;, run_args)
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/script_action.py&quot;, line 231, in call_script_module_function
    result = automation_instance.run(run_args)  # Pass args to the run method
  File &quot;/home/test/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 226, in run
    r = self._run(i)
  File &quot;/home/test/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 1856, in _run
    r = self._call_run_deps(prehook_deps, self.local_env_keys, local_env_keys_from_meta, env, state, const, const_state, add_deps_recursive,
  File &quot;/home/test/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 3317, in _call_run_deps
    r = script._run_deps(deps, local_env_keys, env, state, const, const_state, add_deps_recursive, recursion_spaces,
  File &quot;/home/test/MLC/repos/mlcommons@mlperf-automations/automation/script/module.py&quot;, line 3485, in _run_deps
    r = self.action_object.access(ii)
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/action.py&quot;, line 56, in access
    result = method(options)
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/script_action.py&quot;, line 305, in run
    return self.call_script_module_function(&quot;run&quot;, run_args)
  File &quot;/home/test/mlc/lib/python3.10/site-packages/mlc/script_action.py&quot;, line 241, in call_script_module_function
    raise ScriptExecutionError(f&quot;Script {function_name} execution failed. Error : {error}&quot;)
mlc.script_action.ScriptExecutionError: Script run execution failed. Error : MLC script failed (name = build-docker-image, return code = 256)


^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Please file an issue at https://github.com/mlcommons/mlperf-automations/issues along with the full MLC command being run and the relevant
or full console log.
</pre>

Hello, I encountered the same issue while testing ResNet50. Has it been resolved yet?