Merge pull request #3710 from LDOUBLEV/fix_tests

add gpu check

tools/infer/predict_det.py

@@ -101,6 +101,7 @@ class TextDetector(object):
         if args.benchmark:
             import auto_log
             pid = os.getpid()
+            gpu_id = utility.get_infer_gpuid()
             self.autolog = auto_log.AutoLogger(
                 model_name="det",
                 model_precision=args.precision,
@@ -110,7 +111,7 @@ class TextDetector(object):
                 inference_config=self.config,
                 pids=pid,
                 process_name=None,
-                gpu_ids=0,
+                gpu_ids=gpu_id if args.use_gpu else None,
                 time_keys=[
                     'preprocess_time', 'inference_time', 'postprocess_time'
                 ],

tools/infer/predict_rec.py

@@ -68,6 +68,7 @@ class TextRecognizer(object):
         if args.benchmark:
             import auto_log
             pid = os.getpid()
+            gpu_id = utility.get_infer_gpuid()
             self.autolog = auto_log.AutoLogger(
                 model_name="rec",
                 model_precision=args.precision,
@@ -77,7 +78,7 @@ class TextRecognizer(object):
                 inference_config=self.config,
                 pids=pid,
                 process_name=None,
-                gpu_ids=0 if args.use_gpu else None,
+                gpu_ids=gpu_id if args.use_gpu else None,
                 time_keys=[
                     'preprocess_time', 'inference_time', 'postprocess_time'
                 ],

tools/infer/utility.py

@@ -280,6 +280,20 @@ def create_predictor(args, mode, logger):
     return predictor, input_tensor, output_tensors, config
 
 
+def get_infer_gpuid():
+    cmd = "nvidia-smi"
+    res = os.popen(cmd).readlines()
+    if len(res) == 0:
+        return None
+    cmd = "env | grep CUDA_VISIBLE_DEVICES"
+    env_cuda = os.popen(cmd).readlines()
+    if len(env_cuda) == 0:
+        return 0
+    else:
+        gpu_id = env_cuda[0].strip().split("=")[1]
+        return int(gpu_id[0])
+
+
 def draw_e2e_res(dt_boxes, strs, img_path):
     src_im = cv2.imread(img_path)
     for box, str in zip(dt_boxes, strs):