fix: avoid nvidia-smi if it will fail

Avoid GPU query whenever running in a SLURM environment without GPU. If the node doesn't have NVIDIA drivers this query will fail and the process will get killed.

openfe/utils/system_probe.py

@@ -273,6 +273,55 @@ def _get_hostname() -> str:
     return socket.gethostname()
 
 
+def _slurm_environment() -> bool:
+    """
+    Check if the current environment is managed by SLURM.
+    """
+
+    slurm_job_id = os.environ.get("SLURM_JOB_ID")
+
+    if slurm_job_id:
+        return True
+    else:
+        return False
+
+
+def _check_slurm_gpu_info() -> bool:
+    """
+    Check if the GPU information is available in the SLURM environment.
+
+    Returns
+    -------
+    bool
+        True if the GPU information is available in the SLURM environment, False
+        otherwise.
+
+    Notes
+    -----
+    This function checks if the GPU information is available in the SLURM environment by
+    inspecting the environment variables.
+
+    The function returns True if any of the following environment variables are present:
+    - 'SLURM_JOB_GPUS'
+    - 'SLURM_GPUS'
+    - 'CUDA_VISIBLE_DEVICES'
+    
+    Otherwise, it returns False.
+    """
+
+    slurm_job_gpus = os.environ.get("SLURM_JOB_GPUS")
+    slurm_gpus = os.environ.get("SLURM_GPUS")
+    cuda_visible_devices = os.environ.get("CUDA_VISIBLE_DEVICES")
+
+    logging.debug(f"SLURM_JOB_GPUS: {slurm_job_gpus}")
+    logging.debug(f"SLURM_GPUS_PER_NODE: {slurm_gpus}")
+    logging.debug(f"CUDA_VISIBLE_DEVICES: {cuda_visible_devices}")
+
+    if slurm_job_gpus or slurm_gpus or cuda_visible_devices:
+        return True
+    else:
+        return False
+
 def _get_gpu_info() -> dict[str, dict[str, str]]:
     """
     Get GPU information using the 'nvidia-smi' command-line utility.
@@ -336,6 +385,12 @@ def _get_gpu_info() -> dict[str, dict[str, str]]:
         "utilization.memory,memory.total,driver_version,"
     )
 
+    if _slurm_environment() and not _check_slurm_gpu_info():
+        logging.debug(
+            "SLURM environment detected, but GPU information is not available."
+        )
+        return {}
+
     try:
         nvidia_smi_output = subprocess.check_output(
             ["nvidia-smi", GPU_QUERY, "--format=csv"]