Update format.yml | Do push instead of PR after formatting

.github/workflows/format.yml

@@ -46,14 +46,15 @@ jobs:
             git config --global user.email "[email protected]"
             # Commit changes
             git commit -m '[Automated Commit] Format Codebase'
+            git push
 
             # Push changes to a new branch
-            BRANCH_NAME="auto/code-format"
-            git branch $BRANCH_NAME
-            git push origin $BRANCH_NAME --force
+            #BRANCH_NAME="auto/code-format"
+            #git branch $BRANCH_NAME
+            #git push origin $BRANCH_NAME --force
 
             # Create a pull request to the "code-format" branch
-            gh pr create --base code-format --head $BRANCH_NAME --title "[Automated PR] Format Codebase" --body "This pull request contains automated code formatting changes."
-          fi
-        env:
-          GH_TOKEN: ${{ secrets.ACCESS_TOKEN }}
+            #gh pr create --base code-format --head $BRANCH_NAME --title "[Automated PR] Format Codebase" --body "This pull request contains automated code formatting changes."
+          fi 
+        # env:
+        #  GH_TOKEN: ${{ secrets.ACCESS_TOKEN }}

.github/workflows/test-nvidia-mlperf-inference-implementations.yml

@@ -2,7 +2,7 @@ name: MLPerf Inference Nvidia implementations
 
 on:
   schedule:
-    - cron: "55 01 * * *" #to be adjusted
+    - cron: "15 02 * * *" #to be adjusted
 
 jobs:
   run_nvidia:

git_commit_hash.txt

@@ -1 +1 @@
-4ac9f687880e17058f0b48fd95731d7090ea7db4
+f57fe4f69aa2d88c0c0ceb925a4a61723917c8e8

script/draw-graph-from-json-data/process-cm-deps.py

@@ -112,7 +112,7 @@ def main():
     G = generate_graph_from_nested_json(
         json_data, output_image=args.output_image)
 
-    generate_mermaid_output(json_data, mermaid_file="graph.mmd")
+    generate_mermaid_output(json_data, mermaid_file=args.output_mermaid)
 
     # Export the graph data
     export_graph_data(G, filename=args.output_graphml)

script/get-ml-model-rgat/_cm.yaml

@@ -0,0 +1,63 @@
+alias: get-ml-model-rgat
+automation_alias: script
+automation_uid: 5b4e0237da074764
+cache: true
+category: AI/ML models
+env:
+  CM_ML_MODEL: RGAT
+  CM_ML_MODEL_DATASET: ICBH
+input_mapping:
+  checkpoint: RGAT_CHECKPOINT_PATH
+  download_path: CM_DOWNLOAD_PATH
+  to: CM_DOWNLOAD_PATH
+new_env_keys:
+- CM_ML_MODEL_*
+- RGAT_CHECKPOINT_PATH
+prehook_deps:
+- enable_if_env:
+    CM_DOWNLOAD_TOOL:
+    - rclone
+    CM_TMP_REQUIRE_DOWNLOAD:
+    - 'yes'
+  env:
+    CM_DOWNLOAD_FINAL_ENV_NAME: CM_ML_MODEL_PATH
+  extra_cache_tags: rgat,gnn,model
+  force_cache: true
+  names:
+  - dae
+  tags: download-and-extract
+  update_tags_from_env_with_prefix:
+    _url.:
+    - CM_DOWNLOAD_URL
+print_env_at_the_end:
+  RGAT_CHECKPOINT_PATH: R-GAT checkpoint path
+tags:
+- get
+- raw
+- ml-model
+- rgat
+uid: b409fd66c5ad4ed5
+variations:
+  fp32:
+    default: true
+    env:
+      CM_ML_MODEL_INPUT_DATA_TYPES: fp32
+      CM_ML_MODEL_PRECISION: fp32
+      CM_ML_MODEL_WEIGHT_DATA_TYPES: fp32
+    group: precision
+  mlcommons:
+    default: true
+    default_variations:
+      download-tool: rclone
+    group: download-source
+  rclone:
+    adr:
+      dae:
+        tags: _rclone
+    env:
+      CM_DOWNLOAD_TOOL: rclone
+      CM_RCLONE_CONFIG_NAME: mlc-inference
+    group: download-tool
+  rclone,fp32:
+    env:
+      CM_DOWNLOAD_URL: mlc-inference:mlcommons-inference-wg-public/R-GAT/RGAT.pt

script/get-ml-model-rgat/customize.py

@@ -0,0 +1,29 @@
+from cmind import utils
+import os
+
+
+def preprocess(i):
+
+    os_info = i['os_info']
+    env = i['env']
+
+    path = env.get('RGAT_CHECKPOINT_PATH', '').strip()
+
+    if path == '' or not os.path.exists(path):
+        env['CM_TMP_REQUIRE_DOWNLOAD'] = 'yes'
+
+    return {'return': 0}
+
+
+def postprocess(i):
+
+    env = i['env']
+
+    if env.get('RGAT_CHECKPOINT_PATH', '') == '':
+        env['RGAT_CHECKPOINT_PATH'] = env['CM_ML_MODEL_PATH']
+    elif env.get('CM_ML_MODEL_PATH', '') == '':
+        env['CM_ML_MODEL_PATH'] = env['RGAT_CHECKPOINT_PATH']
+
+    env['CM_GET_DEPENDENT_CACHED_PATH'] = env['RGAT_CHECKPOINT_PATH']
+
+    return {'return': 0}