CM error: no scripts were found with above tags and variations, follow the new docs site

(python3-venv) aarch64_sh ~> cm run script --tags=run-mlperf,inference,_find-performance,_full,_r4.1 --model=dlrm_v2-99 --implementation=reference --framework=pytorch --category=datacenter --scenario=Offline --execution_mode=test --device=cpu --quiet --test_query_count=50
INFO:root:* cm run script "run-mlperf inference _find-performance _full _r4.1"
INFO:root: * cm run script "detect os"
INFO:root: ! cd /home/ubuntu
INFO:root: ! call /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-os/run.sh from tmp-run.sh
INFO:root: ! call "postprocess" from /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-os/customize.py
INFO:root: * cm run script "detect cpu"
INFO:root: * cm run script "detect os"
INFO:root: ! cd /home/ubuntu
INFO:root: ! call /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-os/run.sh from tmp-run.sh
INFO:root: ! call "postprocess" from /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-os/customize.py
INFO:root: ! cd /home/ubuntu
INFO:root: ! call /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-cpu/run.sh from tmp-run.sh
INFO:root: ! call "postprocess" from /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-cpu/customize.py
INFO:root: * cm run script "get python3"
INFO:root: ! load /home/ubuntu/CM/repos/local/cache/a30274b4c59046f8/cm-cached-state.json
INFO:root:Path to Python: /home/ubuntu/CM/repos/local/cache/8ff2b68847874923/mlperf/bin/python3
INFO:root:Python version: 3.10.12
INFO:root: * cm run script "get mlcommons inference src"
INFO:root: ! load /home/ubuntu/CM/repos/local/cache/181aac323a064657/cm-cached-state.json
INFO:root: * cm run script "get sut description"
INFO:root: * cm run script "detect os"
INFO:root: ! cd /home/ubuntu
INFO:root: ! call /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-os/run.sh from tmp-run.sh
INFO:root: ! call "postprocess" from /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-os/customize.py
INFO:root: * cm run script "detect cpu"
INFO:root: * cm run script "detect os"
INFO:root: ! cd /home/ubuntu
INFO:root: ! call /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-os/run.sh from tmp-run.sh
INFO:root: ! call "postprocess" from /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-os/customize.py
INFO:root: ! cd /home/ubuntu
INFO:root: ! call /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-cpu/run.sh from tmp-run.sh
INFO:root: ! call "postprocess" from /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/detect-cpu/customize.py
INFO:root: * cm run script "get python3"
INFO:root: ! load /home/ubuntu/CM/repos/local/cache/a30274b4c59046f8/cm-cached-state.json
INFO:root:Path to Python: /home/ubuntu/CM/repos/local/cache/8ff2b68847874923/mlperf/bin/python3
INFO:root:Python version: 3.10.12
INFO:root: * cm run script "get compiler"
INFO:root: ! load /home/ubuntu/CM/repos/local/cache/ad4709d27e2746f6/cm-cached-state.json
INFO:root: * cm run script "get generic-python-lib _package.dmiparser"
INFO:root: ! load /home/ubuntu/CM/repos/local/cache/487bb3df259949b6/cm-cached-state.json
INFO:root: * cm run script "get cache dir _name.mlperf-inference-sut-descriptions"
INFO:root: ! load /home/ubuntu/CM/repos/local/cache/a1971a4c4e324cc2/cm-cached-state.json
Generating SUT description file for cfe40b4a2122-pytorch
INFO:root: ! call "postprocess" from /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/get-mlperf-inference-sut-description/customize.py
INFO:root: * cm run script "get mlperf inference results dir"
INFO:root: ! load /home/ubuntu/CM/repos/local/cache/5a5d8a736e15489b/cm-cached-state.json
INFO:root: * cm run script "install pip-package for-cmind-python _package.tabulate"
INFO:root: ! load /home/ubuntu/CM/repos/local/cache/ffdaabd53c414be8/cm-cached-state.json
INFO:root: * cm run script "get mlperf inference utils"
INFO:root: * cm run script "get mlperf inference src"
INFO:root: ! load /home/ubuntu/CM/repos/local/cache/181aac323a064657/cm-cached-state.json
INFO:root: ! call "postprocess" from /home/ubuntu/CM/repos/mlcommons@cm4mlops/script/get-mlperf-inference-utils/customize.py
Using MLCommons Inference source from /home/ubuntu/CM/repos/local/cache/0ab0359edada429b/inference

Running loadgen scenario: Offline and mode: performance
INFO:root:* cm run script "app mlperf inference generic _reference _dlrm_v2-99 _pytorch _cpu _test _r4.1_default _offline"

CM error: no scripts were found with above tags and variations

variation tags ['reference', 'dlrm_v2-99', 'pytorch', 'cpu', 'test', 'r4.1_default', 'offline'] are not matching for the found script app-mlperf-inference with variations dict_keys(['cpp', 'mil', 'mlcommons-cpp', 'ctuning-cpp-tflite', 'tflite-cpp', 'reference', 'python', 'nvidia', 'mlcommons-python', 'reference,gptj_', 'reference,sdxl_', 'reference,dlrm-v2_', 'reference,llama2-70b_', 'reference,mixtral-8x7b', 'reference,resnet50', 'reference,retinanet', 'reference,bert_', 'nvidia-original,r4.1-dev_default', 'nvidia-original,r4.1-dev_default,gptj_', 'nvidia-original,r4.1_default', 'nvidia-original,r4.1_default,gptj_', 'nvidia-original,r4.1-dev_default,llama2-70b_', 'nvidia-original,r4.1_default,llama2-70b_', 'nvidia-original', 'intel', 'intel-original', 'intel-original,gptj_', 'redhat', 'qualcomm', 'kilt', 'kilt,qaic,resnet50', 'kilt,qaic,retinanet', 'kilt,qaic,bert-99', 'kilt,qaic,bert-99.9', 'intel-original,resnet50', 'intel-original,retinanet', 'intel-original,bert-99', 'intel-original,bert-99.9', 'intel-original,gptj-99', 'intel-original,gptj-99.9', 'resnet50', 'retinanet', '3d-unet-99', '3d-unet-99.9', '3d-unet_', 'sdxl', 'llama2-70b_', 'llama2-70b-99', 'llama2-70b-99.9', 'mixtral-8x7b', 'rnnt', 'rnnt,reference', 'gptj-99', 'gptj-99.9', 'gptj', 'gptj_', 'bert_', 'bert-99', 'bert-99.9', 'dlrm_', 'dlrm-v2-99', 'dlrm-v2-99.9', 'dlrm_,nvidia', 'mobilenet', 'efficientnet', 'onnxruntime', 'tensorrt', 'tf', 'pytorch', 'openshift', 'ncnn', 'deepsparse', 'tflite', 'glow', 'tvm-onnx', 'tvm-pytorch', 'tvm-tflite', 'ray', 'cpu', 'cuda,reference', 'cuda', 'rocm', 'qaic', 'tpu', 'fast', 'test', 'valid,retinanet', 'valid', 'quantized', 'fp32', 'float32', 'float16', 'bfloat16', 'int4', 'int8', 'uint8', 'offline', 'multistream', 'singlestream', 'server', 'power', 'batch_size.#', 'r2.1_default', 'r3.0_default', 'r3.1_default', 'r4.0-dev_default', 'r4.0_default', 'r4.1-dev_default', 'r4.1_default'])
!

Start with the cm run script command and the app-mlperf-inference entry point shown in the error. Compare the requested variation tags with the variations listed in the output and consult the new documentation site referenced by the title. Done means the reported MLPerf inference command selects a matching script instead of returning the tag-mismatch error.