Update README_reference.md

docs/mlperf/inference/3d-unet/README_reference.md

@@ -25,34 +25,13 @@ cmr "generate-run-cmds inference _find-performance _all-scenarios" \
 ```
 cmr "generate-run-cmds inference _submission _all-scenarios" --model=3d-unet-99.9 \
 --device=cpu --implementation=reference --backend=onnxruntime \
---execution-mode=valid --results_dir=$HOME/inference_3.1_results \
---category=edge --division=open --quiet
+--execution-mode=valid --category=edge --division=open --quiet
 ```
 
 * Use `--power=yes` for measuring power. It is ignored for accuracy and compliance runs
 * Use `--division=closed` to run all scenarios for the closed division including the compliance tests
-* `--offline_target_qps`, `--server_target_qps` and `--singlestream_target_latency` can be used to override the determined performance numbers
-
-### Populate the README files describing your submission
-
-```
-cmr "generate-run-cmds inference _populate-readme _all-scenarios" \
---model=3d-unet-99.9 --device=cpu --implementation=reference --backend=onnxruntime \
---execution-mode=valid --results_dir=$HOME/inference_3.1_results \
---category=edge --division=open --quiet
-```
-
-### Generate actual submission tree
-
-Here, we are copying the performance and accuracy log files (compliance logs also in the case of closed division) from the results directory to the submission tree following the [directory structure required by MLCommons Inference](https://github.com/mlcommons/policies/blob/master/submission_rules.adoc#inference-1). After the submission tree is generated, [accuracy truncate script](https://github.com/mlcommons/ck/tree/master/cm-mlops/script/truncate-mlperf-inference-accuracy-log) is called to truncate accuracy logs and then the [submission checker](https://github.com/mlcommons/ck/tree/master/cm-mlops/script/run-mlperf-inference-submission-checker) is called to validate the generated submission tree.
+* `--offline_target_qps`, and `--singlestream_target_latency` can be used to override the determined performance numbers
 
-We should use the master branch of MLCommons inference repo for the submission checker. You can use `--hw_note_extra` option to add your name to the notes.
-```
-cmr "generate inference submission" --results_dir=$HOME/inference_3.1_results/valid_results \
---submission_dir=$HOME/inference_submission_tree --clean  \
---run-checker --submitter=cTuning --adr.inference-src.version=master \
---hw_notes_extra="Result taken by NAME" --quiet
-```
 
 ### Questions? Suggestions?