在named_v2_pywrap_file_io.RenameFile tensorflow.python.framework.errors_中

分类：编程问答

如何解决在named_v2_pywrap_file_io.RenameFile tensorflow.python.framework.errors_中

我一直在尝试使用Tensorflow 2训练自定义对象检测器。但是我似乎无法解决此错误。任何帮助将不胜感激。

  • Python 3.8.5
  • Tensorflow版本2.3.0

我已经运行了命令：

(tensorflow) C:\Users\Meadow\ECD_sample>python model_main_tf2.py
--pipeline_config_path=C:\Users\Meadow\ECD_sample\efficientdet_d4_coco17_tpu-32/pipeline.config
--model_dir=C:\Users\Meadow\ECD_sample\efficientdet_d4_coco17_tpu-32 --alsologtostderr

看起来好像正在运行？

INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',) I1009 19:50:50.048526  2352 mirrored_strategy.py:341] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',) INFO:tensorflow:Maybe overwriting train_steps: None I1009 19:50:50.098694  2352 config_util.py:552] Maybe overwriting train_steps: None INFO:tensorflow:Maybe overwriting use_bfloat16: False I1009 19:50:50.100239  2352 config_util.py:552] Maybe overwriting use_bfloat16: False I1009 19:50:50.174606  2352 ssd_efficientnet_bifpn_feature_extractor.py:143] EfficientDet EfficientNet backbone version: efficientnet-b4 I1009 19:50:50.175298  2352 ssd_efficientnet_bifpn_feature_extractor.py:145] EfficientDet BiFPN num filters: 224 I1009 19:50:50.177546  2352 ssd_efficientnet_bifpn_feature_extractor.py:146] EfficientDet BiFPN num iterations: 7 I1009 19:50:50.209522  2352 efficientnet_model.py:148] round_filter input=32 output=48 I1009 19:50:50.353352  2352 efficientnet_model.py:148] round_filter input=32 output=48 I1009 19:50:50.354059  2352 efficientnet_model.py:148] round_filter input=16 output=24 I1009 19:50:50.821037  2352 efficientnet_model.py:148] round_filter input=16 output=24 I1009 19:50:50.821037  2352 efficientnet_model.py:148] round_filter input=24 output=32 I1009 19:50:51.793773  2352 efficientnet_model.py:148] round_filter input=24 output=32 I1009 19:50:51.793773  2352 efficientnet_model.py:148] round_filter input=40 output=56 I1009 19:50:52.919260  2352 efficientnet_model.py:148] round_filter input=40 output=56 I1009 19:50:52.920256  2352 efficientnet_model.py:148] round_filter input=80 output=112 I1009 19:50:54.440330  2352 efficientnet_model.py:148] round_filter input=80 output=112 I1009 19:50:54.441295  2352 efficientnet_model.py:148] round_filter input=112 output=160 I1009 19:50:56.034809  2352 efficientnet_model.py:148] round_filter input=112 output=160 I1009 19:50:56.034809  2352 efficientnet_model.py:148] round_filter input=192 output=272 I1009 19:50:58.116659  2352 efficientnet_model.py:148] round_filter input=192 output=272 I1009 19:50:58.117657  2352 efficientnet_model.py:148] round_filter input=320 output=448 I1009 19:50:58.654929  2352 efficientnet_model.py:148] round_filter input=1280 output=1792

我明白了：

 File "model_main_tf2.py",line 104,in main
    model_lib_v2.train_loop(
  File "C:\Users\Meadow\ECD_sample\object_detection\model_lib_v2.py",line 630,in train_loop
    manager.save()
  File "C:\Users\Meadow\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\checkpoint_management.py",line 819,in save
    self._record_state()
  File "C:\Users\Meadow\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\checkpoint_management.py",line 722,in _record_state
    update_checkpoint_state_internal(
  File "C:\Users\Meadow\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\checkpoint_management.py",line 247,in update_checkpoint_state_internal
    file_io.atomic_write_string_to_file(coord_checkpoint_filename,File "C:\Users\Meadow\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\lib\io\file_io.py",line 570,in atomic_write_string_to_file
    rename(temp_pathname,filename,overwrite)
  File "C:\Users\Meadow\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\lib\io\file_io.py",line 529,in rename
    rename_v2(oldname,newname,line 545,in rename_v2
    _pywrap_file_io.RenameFile(
tensorflow.python.framework.errors_impl.UnknownError: Failed to rename: C:\Users\Meadow\ECD_sample\efficientdet_d4_coco17_tpu-32\checkpoint.tmpd3b2a635f96d4952a2e13e36f0919602 to: C:\Users\Meadow\ECD_sample\efficientdet_d4_coco17_tpu-32\checkpoint : Access is denied.
; Input/output error

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