Use Android llm benchmark runner

.github/workflows/upload-android-test-specs.yml

@@ -41,7 +41,7 @@ jobs:
     with:
       # Just use a small model here with a minimal amount of configuration to test the spec
       models: stories110M
-      devices: samsung_galaxy_s2x
+      devices: samsung_galaxy_s22
       delegates: xnnpack
       test_spec: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifact/android-llm-device-farm-test-spec.yml
 

examples/demo-apps/android/LlamaDemo/android-llm-device-farm-test-spec.yml

@@ -73,8 +73,30 @@ phases:
           fi
         fi;
 
+      # Run the new generic benchmark activity https://developer.android.com/tools/adb#am
+      - echo "Run LLM benchmark"
+      - |
+        adb -s $DEVICEFARM_DEVICE_UDID shell am start -W -n com.example.executorchllamademo/.LlmBenchmarkRunner \
+        --es "model_dir" "/data/local/tmp/llama" \
+        --es "tokenizer_path" "/data/local/tmp/llama/tokenizer.bin"
+
   post_test:
     commands:
+      - echo "Gather LLM benchmark results"
+      - |
+        BENCHMARK_RESULTS=""
+        ATTEMPT=0
+        MAX_ATTEMPT=10
+        while [ -z "${BENCHMARK_RESULTS}" ] && [ $ATTEMPT -lt $MAX_ATTEMPT ]; do
+          echo "Waiting for benchmark results..."
+          BENCHMARK_RESULTS=$(adb -s $DEVICEFARM_DEVICE_UDID shell run-as com.example.executorchllamademo cat files/benchmark_results.json)
+          sleep 30
+          ((ATTEMPT++))
+        done
+
+        adb -s $DEVICEFARM_DEVICE_UDID shell run-as com.example.executorchllamademo ls -la files/
+        # Trying to pull the file using adb ends up with permission error, but this works too, so why not
+        echo "${BENCHMARK_RESULTS}" > $DEVICEFARM_LOG_DIR/benchmark_results.json
 
 artifacts:
   # By default, Device Farm will collect your artifacts from the $DEVICEFARM_LOG_DIR directory.

examples/demo-apps/android/LlamaDemo/app/src/main/java/com/example/executorchllamademo/LlmBenchmarkRunner.java

@@ -14,8 +14,11 @@
 import android.util.Log;
 import android.widget.TextView;
 import androidx.annotation.NonNull;
+import com.google.gson.Gson;
+import java.io.File;
 import java.io.FileWriter;
 import java.io.IOException;
+import java.util.Arrays;
 
 public class LlmBenchmarkRunner extends Activity implements ModelRunnerCallback {
   ModelRunner mModelRunner;
@@ -32,7 +35,12 @@ protected void onCreate(Bundle savedInstanceState) {
 
     Intent intent = getIntent();
 
-    String modelPath = intent.getStringExtra("model_path");
+    File modelDir = new File(intent.getStringExtra("model_dir"));
+    File model =
+        Arrays.stream(modelDir.listFiles())
+            .filter(file -> file.getName().endsWith(".pte"))
+            .findFirst()
+            .get();
     String tokenizerPath = intent.getStringExtra("tokenizer_path");
 
     float temperature = intent.getFloatExtra("temperature", 0.8f);
@@ -42,7 +50,7 @@ protected void onCreate(Bundle savedInstanceState) {
     }
 
     mStatsDump = new StatsDump();
-    mModelRunner = new ModelRunner(modelPath, tokenizerPath, temperature, this);
+    mModelRunner = new ModelRunner(model.getPath(), tokenizerPath, temperature, this);
     mStatsDump.loadStart = System.currentTimeMillis();
   }
 
@@ -79,11 +87,21 @@ public void onGenerationStopped() {
           mTextView.append(mStatsDump.toString());
         });
 
+    // TODO (huydhn): Remove txt files here once the JSON format is ready
     try (FileWriter writer = new FileWriter(getFilesDir() + "/benchmark_results.txt")) {
       writer.write(mStatsDump.toString());
     } catch (IOException e) {
       e.printStackTrace();
     }
+
+    // TODO (huydhn): Figure out on what the final JSON results looks like, we need something
+    // with the same number of fields as https://github.com/pytorch/pytorch/pull/135042
+    try (FileWriter writer = new FileWriter(getFilesDir() + "/benchmark_results.json")) {
+      Gson gson = new Gson();
+      writer.write(gson.toJson(mStatsDump));
+    } catch (IOException e) {
+      e.printStackTrace();
+    }
   }
 }