Python Tensorflow - EOFError：编组数据太短答案

【问题标题】：Python Tensorflow - EOFError: marshal data too shortPython Tensorflow - EOFError：编组数据太短
【发布时间】：2021-02-11 15:52:44
【问题描述】：

我已经面临这个问题一段时间了。每当我导入 TensorFlow 时，我都会得到以下信息：


2021-02-11 21:05:05.855414: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2021-02-11 21:05:05.855463: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/amay428/.local/lib/python3.8/site-packages/tensorflow/__init__.py", line 41, in <module>
    from tensorflow.python.tools import module_util as _module_util
  File "/home/amay428/.local/lib/python3.8/site-packages/tensorflow/python/__init__.py", line 45, in <module>
    from tensorflow.python import data
  File "/home/amay428/.local/lib/python3.8/site-packages/tensorflow/python/data/__init__.py", line 25, in <module>
    from tensorflow.python.data import experimental
  File "/home/amay428/.local/lib/python3.8/site-packages/tensorflow/python/data/experimental/__init__.py", line 126, in <module>
    from tensorflow.python.data.experimental.ops.prefetching_ops import copy_to_device
  File "<frozen importlib._bootstrap>", line 991, in _find_and_load
  File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 779, in exec_module
  File "<frozen importlib._bootstrap_external>", line 911, in get_code
  File "<frozen importlib._bootstrap_external>", line 580, in _compile_bytecode
EOFError: marshal data too short

我在网上查看了各种答案，但都要求我删除 TensorFlow _pycache_ 文件夹。我已经这样做了，但它不起作用。我在 Conda 环境中使用 Manjaro，python 3.8。我将不胜感激。

谢谢！

【问题讨论】：

我知道这已经很晚了....但是你设法解决了这个问题吗？

标签： python python-3.x tensorflow

【解决方案1】：

我在尝试将在 TensorFlow v2.6.0 上训练的模型导入使用 TensorFlow v2.7.0 的环境时遇到了这个问题。我将环境降级回v2.6.0，已经解决了错误。

【讨论】：