pt model to cpu on TF export

export.py

@@ -494,7 +494,7 @@ def run(data=ROOT / 'data/coco128.yaml',  # 'dataset.yaml path'
         if int8 or edgetpu:  # TFLite --int8 bug https://github.com/ultralytics/yolov5/issues/5707
             check_requirements(('flatbuffers==1.12',))  # required before `import tensorflow`
         assert not (tflite and tfjs), 'TFLite and TF.js models must be exported separately, please pass only one type.'
-        model, f[5] = export_saved_model(model, im, file, dynamic, tf_nms=nms or agnostic_nms or tfjs,
+        model, f[5] = export_saved_model(model.cpu(), im, file, dynamic, tf_nms=nms or agnostic_nms or tfjs,
                                          agnostic_nms=agnostic_nms or tfjs, topk_per_class=topk_per_class,
                                          topk_all=topk_all, conf_thres=conf_thres, iou_thres=iou_thres)  # keras model
         if pb or tfjs:  # pb prerequisite to tfjs