Add a script to gather runner info when uploading benchmark results

.github/actions/upload-benchmark-results/action.yml

@@ -19,7 +19,7 @@ runs:
       shell: bash
       run: |
         set -eux
-        python3 -mpip install boto3==1.35.33
+        python3 -mpip install boto3==1.35.33 psutil==7.0.0 ==12.0.0
 
     - name: Check that GITHUB_TOKEN is defined
       if: ${{ inputs.schema-version != 'v2' }}
@@ -72,8 +72,7 @@ runs:
       run: |
         set -eux
 
-        # TODO (huydhn): Implement this part
-        echo "runners=[]" >> "${GITHUB_OUTPUT}"
+        python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
 
     - name: Gather the dependencies information
       id: gather-dependencies

.github/scripts/benchmark-results-dir-for-testing/v3/do_not_overwrite_runners_info.json

@@ -0,0 +1 @@
+{"benchmark": {"name": "ExecuTorch", "mode": "inference", "extra_info": {"app_type": "IOS_APP", "benchmark_config": "{\"model\": \"edsr\", \"config\": \"xnnpack_q8\", \"device_name\": \"apple_iphone_15\", \"device_arn\": \"arn:aws:devicefarm:us-west-2:308535385114:devicepool:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/3b5acd2e-92e2-4778-b651-7726bafe129d\"}"}}, "model": {"name": "edsr", "type": "OSS model", "backend": "xnnpack_q8"}, "metric": {"name": "peak_inference_mem_usage(mb)", "benchmark_values": [333.2014794921875], "target_value": 0, "extra_info": {"method": "forward"}}, "runners": [{"name": "Apple iPhone 15", "type": "iOS 18.0", "avail_mem_in_gb": 0, "total_mem_in_gb": 0}]}

.github/scripts/benchmarks/gather_runners_info.py

@@ -0,0 +1,72 @@
+#!/usr/bin/env python3
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import psutil
+import platform
+import socket
+import json
+import os
+from typing import Dict, Any
+
+
+def set_output(name: str, val: Any) -> None:
+    if os.getenv("GITHUB_OUTPUT"):
+        with open(str(os.getenv("GITHUB_OUTPUT")), "a") as env:
+            print(f"{name}={val}", file=env)
+    else:
+        print(f"::set-output name={name}::{val}")
+
+
+def get_runner_info() -> Dict[str, Any]:
+    device_name = ""
+    device_type = ""
+
+    try:
+        import torch
+
+        if torch.cuda.is_available():
+            # TODO (huydhn): only support CUDA and ROCm for now
+            if torch.version.hip:
+                device_name = "rocm"
+            elif torch.version.cuda:
+                device_name = "cuda"
+
+            device_type = torch.cuda.get_device_name()
+
+    except ImportError:
+        pass
+
+    runner_info = {
+        "cpu_info": platform.processor(),
+        "cpu_count": psutil.cpu_count(),
+        "avail_mem_in_gb": int(psutil.virtual_memory().total / (1024 * 1024 * 1024)),
+        "extra_info": {
+            "hostname": socket.gethostname(),
+        },
+    }
+
+    # TODO (huydhn): only support CUDA and ROCm for now
+    if device_name and device_type:
+        runner_info["name"] = device_name
+        runner_info["type"] = device_type
+        runner_info["gpu_count"] = torch.cuda.device_count()
+        runner_info["avail_gpu_mem_in_gb"] = int(
+            torch.cuda.get_device_properties(0).total_memory
+            * torch.cuda.device_count()
+            / (1024 * 1024 * 1024)
+        )
+
+    return runner_info
+
+
+def main() -> None:
+    runner_info = get_runner_info()
+    set_output("runners", json.dumps([runner_info]))
+
+
+if __name__ == "__main__":
+    main()