add CI/CD for human eval score benchmarking

.github/workflows/score.yml

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+name: Human Eval Score KTransformers
+run-name: Human Eval Score KTransformers
+on: workflow_dispatch
+jobs:
+  Human-Eval-Score-KTransformers:
+    runs-on: self-hosted
+    steps:
+      - run: echo "🎉 The job was automatically triggered by a ${{ github.event_name }} event."
+      - run: echo "🔎 The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}."
+      - name: Check out repository code
+        uses: actions/checkout@v4
+      - run: echo "💡 The ${{ github.repository }} repository has been cloned to the runner."
+      - name: Human Eval Run
+        run: |
+          set -e
+          source /home/qujing3/anaconda3/etc/profile.d/conda.sh
+          conda activate ktransformers-dev
+          export PATH=/usr/local/cuda-12.4/bin:$PATH
+          export LD_LIBRARY_PATH=/usr/local/cuda-12.4/lib64:$LD_LIBRARY_PATH
+          export CUDA_HOME=/usr/local/cuda-12.4
+          cd ${{ github.workspace }}
+          python transformers/tests/score.py
+
+      - run: echo "This job's status is ${{ job.status }}."

ktransformers/tests/score.py

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+import subprocess
+import time
+import requests
+import sys
+import os
+
+def wait_for_server(base_url: str, timeout: int = None) -> None:
+    start_time = time.time()
+    while True:
+        try:
+            response = requests.get(
+                f"{base_url}/v1/models",
+                headers={"Authorization": "Bearer None"},
+            )
+            if response.status_code == 200:
+                time.sleep(5)
+                print("Server is ready.")
+                break
+        except requests.exceptions.RequestException:
+            time.sleep(1)
+            if timeout and time.time() - start_time > timeout:
+                raise TimeoutError("Server did not become ready within timeout period")
+
+server_cmd = [
+    "numactl", "-N", "1", "-m", "1",
+    "/home/qujing3/anaconda3/envs/ktransformers-dev/bin/ktransformers",
+    "--model_path", "/home/qujing3/models/DeepSeek-R1-Q4_K_M/config",
+    "--gguf_path", "/home/qujing3/models/DeepSeek-R1-Q4_K_M/",
+    "--port", "10002",
+    "--cpu_infer", "64"
+]
+
+print("Starting ktransformers server...")
+print(" ".join(server_cmd))
+with open("/tmp/server_log.txt", "w") as f:
+    server_process = subprocess.Popen(server_cmd, stdout=f, stderr=f, text=True)
+
+try:
+    wait_for_server("http://localhost:10002", timeout=300)
+
+    eval_cmd = ["python", "ktransformers/tests/humaneval/eval_api.py"]
+    print("Running eval_api.py...")
+    print(f"Command: {' '.join(eval_cmd)}")
+    
+    env = os.environ.copy()
+    env["PYTHONUNBUFFERED"] = "1"
+    
+    eval_process = subprocess.Popen(
+        eval_cmd,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        text=True,
+        bufsize=1,
+        env=env,
+        universal_newlines=True
+    )
+    
+    import threading
+    import queue
+    
+    def enqueue_output(out, queue):
+        for line in iter(out.readline, ''):
+            queue.put(line)
+        out.close()
+    
+    stdout_queue = queue.Queue()
+    stderr_queue = queue.Queue()
+    
+    stdout_thread = threading.Thread(target=enqueue_output, args=(eval_process.stdout, stdout_queue))
+    stderr_thread = threading.Thread(target=enqueue_output, args=(eval_process.stderr, stderr_queue))
+    
+    stdout_thread.daemon = True
+    stderr_thread.daemon = True
+    stdout_thread.start()
+    stderr_thread.start()
+    
+    while eval_process.poll() is None:
+        try:
+            line = stdout_queue.get_nowait()
+            print(line, end='', flush=True)
+        except queue.Empty:
+            pass
+            
+        try:
+            line = stderr_queue.get_nowait()
+            print(line, end='', file=sys.stderr, flush=True)
+        except queue.Empty:
+            pass
+        
+        time.sleep(1)
+
+    while not stdout_queue.empty():
+        print(stdout_queue.get(), end='', flush=True)
+    while not stderr_queue.empty():
+        print(stderr_queue.get(), end='', file=sys.stderr, flush=True)
+        
+    eval_process.wait()
+    print(f"eval_api.py completed with exit code: {eval_process.returncode}")
+
+    evaluate_cmd = [
+        "evaluate_functional_correctness",
+        "ktransformers/tests/humaneval/results/api/eval_b.jsonl"
+    ]
+    print("Running evaluate_functional_correctness...")
+    print(f"Command: {' '.join(evaluate_cmd)}")
+    
+    evaluate_process = subprocess.Popen(
+        evaluate_cmd,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        text=True,
+        bufsize=1,
+        universal_newlines=True
+    )
+    
+    for line in evaluate_process.stdout:
+        print(line, end='', flush=True)
+    for line in evaluate_process.stderr:
+        print(line, end='', file=sys.stderr, flush=True)
+        
+    evaluate_process.wait()
+    
+    print(f"evaluate_functional_correctness completed with exit code: {evaluate_process.returncode}")
+    if evaluate_process.returncode != 0:
+        print(f"evaluate_functional_correctness exited with code {evaluate_process.returncode}")
+        sys.exit(evaluate_process.returncode)
+
+finally:
+    print("Stopping ktransformers server...")
+    server_process.terminate()
+    try:
+        server_process.wait(timeout=30)
+    except subprocess.TimeoutExpired:
+        print("Server did not terminate gracefully, forcing...")
+        server_process.kill()