Remove scc24 in the main docs

docs/benchmarks/text_to_image/reproducibility/scc24.md

@@ -48,45 +48,45 @@ or supporting multi-node execution) useful for the community and [MLCommons](htt
 === "MLCommons-Python"
     ## MLPerf Reference Implementation in Python
 
-{{ mlperf_inference_implementation_readme (4, "sdxl", "reference", extra_variation_tags=",_short,_scc24-base", devices=["ROCm", "CUDA"],scenarios=["Offline"],categories=["Edge"], setup_tips=False) }}
+{{ mlperf_inference_implementation_readme (4, "sdxl", "reference", extra_variation_tags=",_short,_scc24-base", devices=["ROCm", "CUDA"],scenarios=["Offline"],categories=["Datacenter"], setup_tips=False) }}
 
 === "Nvidia"
     ## Nvidia MLPerf Implementation
-{{ mlperf_inference_implementation_readme (4, "sdxl", "nvidia", extra_variation_tags=",_short", scenarios=["Offline"],categories=["Edge"], setup_tips=False, implementation_tips=False) }}
+{{ mlperf_inference_implementation_readme (4, "sdxl", "nvidia", extra_variation_tags=",_short", scenarios=["Offline"],categories=["Datacenter"], setup_tips=False, implementation_tips=False) }}
 
 ## Submission Commands
 
 ### Generate actual submission tree
 
 ```bash
-    cm run script --tags=generate,inference,submission \
-      --clean \
-      --preprocess_submission=yes \
-      --run-checker \
-      --submitter=<Team Name> \
-      --tar=yes \
-      --env.CM_TAR_OUTFILE=submission.tar.gz \
-      --division=open \
-      --category=datacenter \
-      --env.CM_DETERMINE_MEMORY_CONFIGURATION=yes \
-      --quiet
+cm run script --tags=generate,inference,submission \
+   --clean \
+   --preprocess_submission=yes \
+   --run-checker \
+   --tar=yes \
+   --env.CM_TAR_OUTFILE=submission.tar.gz \
+   --division=open \
+   --category=datacenter \
+   --env.CM_DETERMINE_MEMORY_CONFIGURATION=yes \
+   --run_style=test --adr.submission-checker.tags=_short-run \
+   --quiet \
+   --submitter=<Team Name>
 ```
 
-* Use `--hw_name="My system name"` to give a meaningful system name. Examples can be seen [here](https://github.com/mlcommons/inference_results_v3.0/tree/main/open/cTuning/systems)
+* Use `--hw_name="My system name"` to give a meaningful system name.
 
-* Use `--hw_notes_extra` option to add additional notes like `--hw_notes_extra="Result taken by NAME" `
 
-<!-- ### Aggregate Results in GitHub
+### Aggregate Results in GitHub
 
 If you are collecting results across multiple systems you can generate different submissions and aggregate all of them to a GitHub repository (can be private) and use it to generate a single tar ball which can be uploaded to the [MLCommons Submission UI](https://submissions-ui.mlcommons.org/submission). 
 
 Run the following command after **replacing `--repo_url` with your GitHub repository URL**.
 
 ```bash
-   cm run script --tags=push,github,mlperf,inference,submission \
-   --repo_url=https://github.com/GATEOverflow/mlperf_inference_submissions_v4.1 \
-   --commit_message="Results on <HW name> added by <Name>" \
+cm run script --tags=push,github,mlperf,inference,submission \
+   --repo_url=https://github.com/mlcommons/cm4mlperf-inference \
+   --repo_branch=mlperf-inference-results-scc24 \
+   --commit_message="Results on system <HW Name>" \
    --quiet
 ```
 
-At the end, you can download the github repo and upload to the [MLCommons Submission UI](https://submissions-ui.mlcommons.org/submission). -->

main.py

@@ -417,8 +417,8 @@ def mlperf_inference_run_command(spaces, model, implementation, framework, categ
 
         if docker:
             docker_cmd_suffix = f" \\\n{pre_space} --docker --quiet"
-            if "scc24" not in extra_variation_tags:
-                docker_cmd_suffix += f" \\\n{pre_space} --test_query_count={test_query_count} {extra_docker_input_string} {extra_input_string}"
+            if test_query_count > 0:
+                docker_cmd_suffix += f" \\\n{pre_space} --test_query_count={test_query_count}""
             if extra_docker_input_string != "" or extra_input_string != "":
                 docker_cmd_suffix += f" \\\n{pre_space} {extra_docker_input_string} {extra_input_string}"
             if "bert" in model.lower() and framework == "deepsparse":
@@ -456,7 +456,7 @@ def mlperf_inference_run_command(spaces, model, implementation, framework, categ
         else:
             cmd_suffix = f"\\\n{pre_space} --quiet {extra_input_string}"
 
-            if execution_mode == "test" and test_query_count > 0 and "scc24" not in extra_variation_tags:
+            if execution_mode == "test" and test_query_count > 0:
                 cmd_suffix += f" \\\n {pre_space} --test_query_count={test_query_count}"
 
             if "bert" in model.lower() and framework == "deepsparse":