Matrix dryruns from output of 'benchpark list experiments'

Author: michaelmckinsey1

.github/actions/dynamic-dry-run/action.yml

@@ -1,34 +1,22 @@
 name: Dynamic dry run template
 
 inputs:
-  benchmark_name:
-    required: true
-    type: string
-  benchmark_mode:
-    required: true
-    type: string
   benchmark_spec:
     required: true
     type: string
-  system_name:
-    required: true
-    type: string
   system_spec:
     required: true
     type: string
 
 runs:
   using: "composite"
   steps:
-    - name: "${{ inputs.benchmark_name }}/${{ inputs.benchmark_mode }} ${{ inputs.system_name }} ${{ inputs.system_spec }}"
+    - name: "${{ inputs.benchmark_spec }} ${{ inputs.system_spec }}"
       shell: bash 
       run: |
         timestamp=$(date +%s)
-        bn="${{ inputs.benchmark_name }}"
-        bm="${{ inputs.benchmark_mode }}"
-        benchmark="$bn-$bm-$timestamp"
-        sn="${{ inputs.system_name }}"
-        system="$sn-$timestamp"
+        benchmark="b-$timestamp"
+        system="s-$timestamp"
         ./bin/benchpark system init --dest=$system ${{ inputs.system_spec }}
         ./bin/benchpark experiment init --dest=$benchmark ${{ inputs.benchmark_spec }}
         ./bin/benchpark setup ./$benchmark ./$system workspace/

.github/workflows/gen-dynamic-runs.py

@@ -0,0 +1,45 @@
+import subprocess
+import json
+
+
+# Original dictionary
+data = {
+    "openmp": {"benchmark_spec": [], "system_spec": ["llnl-cluster cluster=ruby"]},
+    "cuda": {"benchmark_spec": [], "system_spec": ["llnl-sierra"]},
+    "rocm": {"benchmark_spec": [], "system_spec": ["llnl-elcapitan cluster=tioga"]},
+    "weak": {"benchmark_spec": [], "system_spec": ["generic-x86"]},
+    "strong": {"benchmark_spec": [], "system_spec": ["generic-x86"]},
+    "single_node": {"benchmark_spec": [], "system_spec": ["generic-x86"]},
+    "throughput": {"benchmark_spec": [], "system_spec": ["generic-x86"]},
+}
+
+
+def main():
+    try:
+        expr_cmd = subprocess.run(
+            [
+                "./bin/benchpark",
+                "list",
+                "experiments",
+            ],
+            capture_output=True,
+            check=True,
+        )
+    except subprocess.CalledProcessError as e:
+        raise RuntimeError(f"Output: {e.stdout}\nError: {e.stderr}")
+    expr_str = str(expr_cmd.stdout, "utf-8")
+    experiments = expr_str.replace(" ", "").replace("\t", "").split("\n")
+    experiments = [
+        item for item in experiments if "+" in item
+    ]
+
+    for expr in experiments:
+        name, mode = expr.split("+")
+        data[mode]["benchmark_spec"].append(expr)
+
+    with open("matrix.json", "w") as f:
+        json.dump(data, f)
+
+
+if __name__ == "__main__":
+    main()