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pt model to cpu on TF export

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Glenn Jocher 2022-03-14 12:41:06 +01:00 committed by GitHub
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export.py
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@ -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