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Tensorflow 2.0-AttributeError：模块’tensorflow’没有属性’Session’

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问题：Tensorflow 2.0-AttributeError：模块’tensorflow’没有属性’Session’
回答 0
回答 1
回答 2
回答 3
回答 4
回答 5
回答 6
回答 7
回答 8
回答 9

问题：Tensorflow 2.0-AttributeError：模块’tensorflow’没有属性’Session’

sess = tf.Session()在Tensorflow 2.0环境中执行命令时，出现如下错误消息：

Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'tensorflow' has no attribute 'Session'

系统信息：

  • 操作系统平台和发行版：Windows 10
  • python版本：3.7.1
  • Tensorflow版本：2.0.0-alpha0（随pip一起安装）

重现步骤：

安装：

  1. 点安装-升级点
  2. pip install tensorflow == 2.0.0-alpha0
  3. 点安装keras
  4. 点安装numpy == 1.16.2

执行：

  1. 执行命令：将tensorflow导入为tf
  2. 执行命令：sess = tf.Session（）
点击查看英文原文

When I am executing the command sess = tf.Session() in Tensorflow 2.0 environment, I am getting an error message as below:

Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'tensorflow' has no attribute 'Session'

System Information:

  • OS Platform and Distribution: Windows 10
  • Python Version: 3.7.1
  • Tensorflow Version: 2.0.0-alpha0 (installed with pip)

Steps to reproduce:

Installation:

  1. pip install –upgrade pip
  2. pip install tensorflow==2.0.0-alpha0
  3. pip install keras
  4. pip install numpy==1.16.2

Execution:

  1. Execute command: import tensorflow as tf
  2. Execute command: sess = tf.Session()

回答 0

根据TF 1:1 Symbols Map，在TF 2.0中，您应该使用tf.compat.v1.Session()而不是tf.Session()

https://docs.google.com/spreadsheets/d/1FLFJLzg7WNP6JHODX5q8BDgptKafq_slHpnHVbJIteQ/edit#gid=0

要获得TF 2.0中类似TF 1.x的行为，可以运行 

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

但后来人们无法受益于TF 2.0所做的许多改进。有关更多详细信息，请参阅迁移指南 https://www.tensorflow.org/guide/migrate

点击查看英文原文

According to TF 1:1 Symbols Map, in TF 2.0 you should use tf.compat.v1.Session() instead of tf.Session()

https://docs.google.com/spreadsheets/d/1FLFJLzg7WNP6JHODX5q8BDgptKafq_slHpnHVbJIteQ/edit#gid=0

To get TF 1.x like behaviour in TF 2.0 one can run 

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

but then one cannot benefit of many improvements made in TF 2.0. For more details please refer to the migration guide https://www.tensorflow.org/guide/migrate

回答 1

TF2默认情况下运行急切执行，因此无需会话。如果要运行静态图，则更正确的方法是tf.function()在TF2中使用。虽然仍然可以通过tf.compat.v1.Session()TF2访问Session ，但我不建议使用它。通过比较问候世界中的差异来证明这种差异可能会有所帮助：

TF1.x你好世界：

import tensorflow as tf
msg = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(msg))

TF2.x你好世界：

import tensorflow as tf
msg = tf.constant('Hello, TensorFlow!')
tf.print(msg)

有关更多信息，请参见Effective TensorFlow 2

点击查看英文原文

TF2 runs Eager Execution by default, thus removing the need for Sessions. If you want to run static graphs, the more proper way is to use tf.function() in TF2. While Session can still be accessed via tf.compat.v1.Session() in TF2, I would discourage using it. It may be helpful to demonstrate this difference by comparing the difference in hello worlds:

TF1.x hello world:

import tensorflow as tf
msg = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(msg))

TF2.x hello world:

import tensorflow as tf
msg = tf.constant('Hello, TensorFlow!')
tf.print(msg)

For more info, see Effective TensorFlow 2

回答 2

安装后第一次尝试python时遇到了这个问题 windows10 + python3.7(64bit) + anacconda3 + jupyter notebook.

我通过参考“ https://vispud.blogspot.com/2019/05/tensorflow200a0-attributeerror-module.html ”解决了此问题

我同意

我相信TF 2.0已删除了“ Session（）”。

我插入了两行。一个是tf.compat.v1.disable_eager_execution()，另一个是sess = tf.compat.v1.Session()

我的Hello.py如下：

import tensorflow as tf

tf.compat.v1.disable_eager_execution()

hello = tf.constant('Hello, TensorFlow!')

sess = tf.compat.v1.Session()

print(sess.run(hello))
点击查看英文原文

I faced this problem when I first tried python after installing windows10 + python3.7(64bit) + anacconda3 + jupyter notebook.

I solved this problem by refering to “https://vispud.blogspot.com/2019/05/tensorflow200a0-attributeerror-module.html“

I agree with

I believe “Session()” has been removed with TF 2.0.

I inserted two lines. One is tf.compat.v1.disable_eager_execution() and the other is sess = tf.compat.v1.Session()

My Hello.py is as follows:

import tensorflow as tf

tf.compat.v1.disable_eager_execution()

hello = tf.constant('Hello, TensorFlow!')

sess = tf.compat.v1.Session()

print(sess.run(hello))

回答 3

对于TF2.x，您可以这样做。

import tensorflow as tf
with tf.compat.v1.Session() as sess:
    hello = tf.constant('hello world')
    print(sess.run(hello))

>>> b'hello world

点击查看英文原文

For TF2.x, you can do like this.

import tensorflow as tf
with tf.compat.v1.Session() as sess:
    hello = tf.constant('hello world')
    print(sess.run(hello))

>>> b'hello world

回答 4

尝试这个

import tensorflow as tf

tf.compat.v1.disable_eager_execution()

hello = tf.constant('Hello, TensorFlow!')

sess = tf.compat.v1.Session()

print(sess.run(hello))
点击查看英文原文

try this

import tensorflow as tf

tf.compat.v1.disable_eager_execution()

hello = tf.constant('Hello, TensorFlow!')

sess = tf.compat.v1.Session()

print(sess.run(hello))

回答 5

如果这是您的代码，则正确的解决方案是将其重写为不使用Session()，因为在TensorFlow 2中不再需要

如果这只是您正在运行的代码，则可以通过运行降级到TensorFlow 1

pip3 install --upgrade --force-reinstall tensorflow-gpu==1.15.0

（或TensorFlow 1的最新版本）

点击查看英文原文

If this is your code, the correct solution is to rewrite it to not use Session(), since that’s no longer necessary in TensorFlow 2

If this is just code you’re running, you can downgrade to TensorFlow 1 by running

pip3 install --upgrade --force-reinstall tensorflow-gpu==1.15.0

(or whatever the latest version of TensorFlow 1 is)

回答 6

Tensorflow 2.x支持默认执行Eager Execution，因此不支持Session。

点击查看英文原文

Tensorflow 2.x support’s Eager Execution by default hence Session is not supported.

回答 7

使用Anaconda + Spyder（Python 3.7）

[码]

import tensorflow as tf
valor1 = tf.constant(2)
valor2 = tf.constant(3)
type(valor1)
print(valor1)
soma=valor1+valor2
type(soma)
print(soma)
sess = tf.compat.v1.Session()
with sess:
    print(sess.run(soma))

[安慰]

import tensorflow as tf
valor1 = tf.constant(2)
valor2 = tf.constant(3)
type(valor1)
print(valor1)
soma=valor1+valor2
type(soma)
Tensor("Const_8:0", shape=(), dtype=int32)
Out[18]: tensorflow.python.framework.ops.Tensor

print(soma)
Tensor("add_4:0", shape=(), dtype=int32)

sess = tf.compat.v1.Session()

with sess:
    print(sess.run(soma))
5
点击查看英文原文

Using Anaconda + Spyder (Python 3.7)

[code]

import tensorflow as tf
valor1 = tf.constant(2)
valor2 = tf.constant(3)
type(valor1)
print(valor1)
soma=valor1+valor2
type(soma)
print(soma)
sess = tf.compat.v1.Session()
with sess:
    print(sess.run(soma))

[console]

import tensorflow as tf
valor1 = tf.constant(2)
valor2 = tf.constant(3)
type(valor1)
print(valor1)
soma=valor1+valor2
type(soma)
Tensor("Const_8:0", shape=(), dtype=int32)
Out[18]: tensorflow.python.framework.ops.Tensor

print(soma)
Tensor("add_4:0", shape=(), dtype=int32)

sess = tf.compat.v1.Session()

with sess:
    print(sess.run(soma))
5

回答 8

TF v2.0支持Eager模式和v1.0的Graph模式。因此，v2.0不支持tf.session（）。因此，建议您重写代码以在Eager模式下工作。

点击查看英文原文

TF v2.0 supports Eager mode vis-a-vis Graph mode of v1.0. Hence, tf.session() is not supported on v2.0. Hence, would suggest you to rewrite your code to work in Eager mode.

回答 9

import tensorflow as tf
sess = tf.Session()

此代码将在版本2.x上显示属性错误

在版本2.x中使用版本1.x代码

尝试这个

import tensorflow.compat.v1 as tf
sess = tf.Session()
点击查看英文原文 
import tensorflow as tf
sess = tf.Session()

this code will show an Attribute error on version 2.x

to use version 1.x code in version 2.x

try this

import tensorflow.compat.v1 as tf
sess = tf.Session()