【Python】Tensorflow-cpu-2.5.0运行Hello Tensorflow出错解决（tensorflow1.5支持python3.6）

【Python】Tensorflow-cpu-2.5.0运行Hello Tensorflow出错解决（tensorflow1.5支持python3.6）

问题及解决方法

1、AttributeError: module ‘tensorflow’ has no attribute 解决办法：

>>> tf.compat.v1.disable_eager_execution()>>> sess = tf.compat.v1.Session()

2、RuntimeError: The Session graph is empty. 解决办法：调整变量定义顺序。

>>> hello=tf.constant("Hello Tensorflow")>>> sess = tf.compat.v1.Session()>>> sess.run(hello)b'Hello Tensorflow'

操作实录

F:\tensorflow-2.4.0>env\Scripts\activate(env) F:\tensorflow-2.4.0>pythonPython 3.7.4 (default, Aug 9 2019, 18:34:13) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32Warning:This Python interpreter is in a conda environment, but the environment hasnot been activated. Libraries may fail to load. To activate this environmentplease see "help", "copyright", "credits" or "license" for more information.>>> import tensorflow as tf>>> hello=tf.constant("Hello Tensorflow")2021-08-10 09:36:26.404274: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVXTo enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.##问题1：版本2.5.0没有Session属性>>> sess=tf.Session()Traceback (most recent call last): File "", line 1, in AttributeError: module 'tensorflow' has no attribute 'Session'##问题1的解决办法：>>> tf.compat.v1.disable_eager_execution()>>> sess = tf.compat.v1.Session()##问题2：变量定义顺序错误，导致提示session为空>>> sess.run(hello)Traceback (most recent call last): File "", line 1, in File "F:\tensorflow-2.4.0\env\lib\site-packages\tensorflow\python\client\session.py", line 968, in run run_metadata_ptr) File "F:\tensorflow-2.4.0\env\lib\site-packages\tensorflow\python\client\session.py", line 1116, in _run raise RuntimeError('The Session graph is empty. Add operations to the 'RuntimeError: The Session graph is empty. Add operations to the graph before calling run().#问题2：解决办法，调整正确定义顺序>>> hello=tf.constant("Hello Tensorflow")>>> sess = tf.compat.v1.Session()>>> sess.run(hello)b'Hello Tensorflow'>>> print(sess.run(hello))b'Hello Tensorflow'>>>

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