train with multi-gpu half test bug fix #99

test.py

@@ -46,7 +46,8 @@ def test(data,
     else:  # called by train.py
         training = True
         device = next(model.parameters()).device  # get model device
-        half = device.type != 'cpu' and torch.cuda.device_count() == 1  # half precision only supported on single-GPU
+        # half disabled https://github.com/ultralytics/yolov5/issues/99
+        half = False  # device.type != 'cpu' and torch.cuda.device_count() == 1
         if half:
             model.half()  # to FP16