Tensorflow2.1.0下出现AttributeError: module 'tensorflow' has no attribute 'Session'，完美解决！

时间 2020-05-16

标签 tensorflow2.1.0 tensorflow 出现 attributeerror module attribute session 完美解决栏目网站开发繁體版

原文原文链接

直接上解决办法：python import tensorflow.compat.v1 as tf # 关键步骤 hello = tf.constant('Hello, TensorFlow!') sess = tf.compat.v1.Session() # 关键步骤 print(sess.run(hello)) 缘由：这是版本问题，听说Tensorflow2.0之后的版本必需要这样import，

>>阅读原文<<

1. TensorFlow2.0 出现 AttributeError: module 'tensorflow' has no attribute 'python_io'
2. AttributeError: module ‘tensorflow‘ has no attribute ‘sparse_tensor_dense_matmul‘
3. AttributeError: module 'tensorflow' has no attribute 'mul'
4. AttributeError: module 'tensorflow' has no attribute 'placeholder'
5. 解决AttributeError: module 'tensorflow' has no attribute 'ConfigProto'
6. AttributeError: module 'tensorflow' has no attribute 'get_default_graph'
7. AttributeError: module 'tensorflow' has no attribute 'set_random_seed'
8. 解决Tensorflow2.0出现：AttributeError: module 'tensorflow' has no attribute 'get_default_graph'的问题
9. 完美解决AttributeError: module 'scipy.misc' has no attribute 'imread'报错问题
10. AttributeError: module 'tensorboard.util' has no attribute 'PersistentOpEvaluator'
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1. TensorFlow2.0 出现 AttributeError: module 'tensorflow' has no attribute 'python_io'
2. AttributeError: module ‘tensorflow‘ has no attribute ‘sparse_tensor_dense_matmul‘
3. AttributeError: module 'tensorflow' has no attribute 'mul'
4. AttributeError: module 'tensorflow' has no attribute 'placeholder'
5. 解决AttributeError: module 'tensorflow' has no attribute 'ConfigProto'
6. AttributeError: module 'tensorflow' has no attribute 'get_default_graph'
7. AttributeError: module 'tensorflow' has no attribute 'set_random_seed'
8. 解决Tensorflow2.0出现：AttributeError: module 'tensorflow' has no attribute 'get_default_graph'的问题
9. 完美解决AttributeError: module 'scipy.misc' has no attribute 'imread'报错问题
10. AttributeError: module 'tensorboard.util' has no attribute 'PersistentOpEvaluator'

>>更多相关文章<<