Python TensorFlow的导入错误和属性错误

背景

我正在尝试使用GAN神经网络（我是Python和机器学习的初学者），我需要Tensorflow

问题

我已尝试使用TensorFlow，但无法安装。我读过关于各种错误的文章，并测试过这些解决方案，但我相信这个案例是不同的

我试过的（按时间顺序） 1。普通重启

a） 关闭Jupyter笔记本的所有选项卡
b） 关闭蟒蛇导航器
c） 重新启动Jupyter笔记本电脑
d） 重新运行代码

结果：

导入错误：无模块

2。重新安装tf

a） 重复1a和1b
b） 打开蟒蛇提示
c）

pip安装tensorflow

结果：

模块已安装

3。签出导航器

Tensorflow安装在我拥有的所有环境中

4。重新安装tf（取2）

a） 重复1a和1b
b） 打开蟒蛇提示
c）

conda安装-c conda forge tensorflow

结果：

EnvironmentNotWritableError:当前用户没有对目标环境的写入权限。环境位置：C:\ProgramData\

5。以管理员身份运行

a） 重复1a和1b
b） 打开蟒蛇提示
c）

conda安装-c conda forge tensorflow

结果:

Preparing transaction: done
Verifying transaction: done
Executing transaction: <after some text> done

AttributeError                            Traceback (most recent call last)
<ipython-input-6-efbffb1990be> in <module>
----> 1 import tensorflow as tf
      2 import numpy as np
      3 import matplotlib.pyplot as plt
      4 import os
      5 import glob2

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\__init__.py in <module>
     22 
     23 # pylint: disable=g-bad-import-order
---> 24 from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
     25 
     26 from tensorflow._api.v1 import app

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\__init__.py in <module>
     80 from tensorflow.python import data
     81 from tensorflow.python import distribute
---> 82 from tensorflow.python import keras
     83 from tensorflow.python.feature_column import feature_column_lib as feature_column
     84 from tensorflow.python.layers import layers

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\__init__.py in <module>
     23 
     24 from tensorflow.python.keras import activations
---> 25 from tensorflow.python.keras import applications
     26 from tensorflow.python.keras import backend
     27 from tensorflow.python.keras import callbacks

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\applications\__init__.py in <module>
     24 from tensorflow.python.keras import backend
     25 from tensorflow.python.keras import engine
---> 26 from tensorflow.python.keras import layers
     27 from tensorflow.python.keras import models
     28 from tensorflow.python.keras import utils

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\layers\__init__.py in <module>
     27 
     28 # Advanced activations.
---> 29 from tensorflow.python.keras.layers.advanced_activations import LeakyReLU
     30 from tensorflow.python.keras.layers.advanced_activations import PReLU
     31 from tensorflow.python.keras.layers.advanced_activations import ELU

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\layers\advanced_activations.py in <module>
     25 from tensorflow.python.keras.engine.base_layer import Layer
     26 from tensorflow.python.keras.engine.input_spec import InputSpec
---> 27 from tensorflow.python.keras.utils import tf_utils
     28 from tensorflow.python.ops import math_ops
     29 from tensorflow.python.util.tf_export import tf_export

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\utils\__init__.py in <module>
     36 from tensorflow.python.keras.utils.layer_utils import get_source_inputs
     37 from tensorflow.python.keras.utils.losses_utils import squeeze_or_expand_dimensions
---> 38 from tensorflow.python.keras.utils.multi_gpu_utils import multi_gpu_model
     39 from tensorflow.python.keras.utils.np_utils import normalize
     40 from tensorflow.python.keras.utils.np_utils import to_categorical

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\utils\multi_gpu_utils.py in <module>
     20 from tensorflow.python.framework import ops
     21 from tensorflow.python.keras import backend as K
---> 22 from tensorflow.python.keras.engine.training import Model
     23 from tensorflow.python.ops import array_ops
     24 from tensorflow.python.util.tf_export import tf_export

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py in <module>
     40 from tensorflow.python.keras.engine import training_generator
     41 from tensorflow.python.keras.engine import training_utils
---> 42 from tensorflow.python.keras.engine.network import Network
     43 from tensorflow.python.keras.optimizer_v2 import optimizer_v2
     44 from tensorflow.python.keras.utils import data_utils

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\network.py in <module>
     38 from tensorflow.python.keras.engine import base_layer
     39 from tensorflow.python.keras.engine import base_layer_utils
---> 40 from tensorflow.python.keras.engine import saving
     41 from tensorflow.python.keras.engine import training_utils
     42 from tensorflow.python.keras.utils import generic_utils

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\saving.py in <module>
     36 # pylint: disable=g-import-not-at-top
     37 try:
---> 38   import h5py
     39   HDF5_OBJECT_HEADER_LIMIT = 64512
     40 except ImportError:

C:\ProgramData\Anaconda3\lib\site-packages\h5py\__init__.py in <module>
     34 _errors.silence_errors()
     35 
---> 36 from ._conv import register_converters as _register_converters
     37 _register_converters()
     38 

h5py\h5r.pxd in init h5py._conv()

h5py\h5r.pyx in init h5py.h5r()

AttributeError: type object 'h5py.h5r.Reference' has no attribute '__reduce_cython__'

准备事务：完成
验证事务：完成
执行事务：完成

6。在Jupyter跑步

该代码目前与TF无关，但仍然不起作用

import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import os
import glob2

font_lib = glob2.glob('**/*.ttf', recursive=True)

count = 0
for f in font_lib:
    count = count + 1
    if count < 10:
        print (f)
    else:
        break
print ("done")

将tensorflow导入为tf
将numpy作为np导入
将matplotlib.pyplot作为plt导入
导入操作系统
导入全球2
font_lib=glob2.glob（'***.ttf'，recursive=True）
计数=0
对于字体库中的f：
计数=计数+1
如果计数小于10：
印刷品（f）
其他：
打破
打印（“完成”）

结果:

Preparing transaction: done
Verifying transaction: done
Executing transaction: <after some text> done

AttributeError                            Traceback (most recent call last)
<ipython-input-6-efbffb1990be> in <module>
----> 1 import tensorflow as tf
      2 import numpy as np
      3 import matplotlib.pyplot as plt
      4 import os
      5 import glob2

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\__init__.py in <module>
     22 
     23 # pylint: disable=g-bad-import-order
---> 24 from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
     25 
     26 from tensorflow._api.v1 import app

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\__init__.py in <module>
     80 from tensorflow.python import data
     81 from tensorflow.python import distribute
---> 82 from tensorflow.python import keras
     83 from tensorflow.python.feature_column import feature_column_lib as feature_column
     84 from tensorflow.python.layers import layers

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\__init__.py in <module>
     23 
     24 from tensorflow.python.keras import activations
---> 25 from tensorflow.python.keras import applications
     26 from tensorflow.python.keras import backend
     27 from tensorflow.python.keras import callbacks

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\applications\__init__.py in <module>
     24 from tensorflow.python.keras import backend
     25 from tensorflow.python.keras import engine
---> 26 from tensorflow.python.keras import layers
     27 from tensorflow.python.keras import models
     28 from tensorflow.python.keras import utils

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\layers\__init__.py in <module>
     27 
     28 # Advanced activations.
---> 29 from tensorflow.python.keras.layers.advanced_activations import LeakyReLU
     30 from tensorflow.python.keras.layers.advanced_activations import PReLU
     31 from tensorflow.python.keras.layers.advanced_activations import ELU

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\layers\advanced_activations.py in <module>
     25 from tensorflow.python.keras.engine.base_layer import Layer
     26 from tensorflow.python.keras.engine.input_spec import InputSpec
---> 27 from tensorflow.python.keras.utils import tf_utils
     28 from tensorflow.python.ops import math_ops
     29 from tensorflow.python.util.tf_export import tf_export

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\utils\__init__.py in <module>
     36 from tensorflow.python.keras.utils.layer_utils import get_source_inputs
     37 from tensorflow.python.keras.utils.losses_utils import squeeze_or_expand_dimensions
---> 38 from tensorflow.python.keras.utils.multi_gpu_utils import multi_gpu_model
     39 from tensorflow.python.keras.utils.np_utils import normalize
     40 from tensorflow.python.keras.utils.np_utils import to_categorical

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\utils\multi_gpu_utils.py in <module>
     20 from tensorflow.python.framework import ops
     21 from tensorflow.python.keras import backend as K
---> 22 from tensorflow.python.keras.engine.training import Model
     23 from tensorflow.python.ops import array_ops
     24 from tensorflow.python.util.tf_export import tf_export

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py in <module>
     40 from tensorflow.python.keras.engine import training_generator
     41 from tensorflow.python.keras.engine import training_utils
---> 42 from tensorflow.python.keras.engine.network import Network
     43 from tensorflow.python.keras.optimizer_v2 import optimizer_v2
     44 from tensorflow.python.keras.utils import data_utils

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\network.py in <module>
     38 from tensorflow.python.keras.engine import base_layer
     39 from tensorflow.python.keras.engine import base_layer_utils
---> 40 from tensorflow.python.keras.engine import saving
     41 from tensorflow.python.keras.engine import training_utils
     42 from tensorflow.python.keras.utils import generic_utils

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\saving.py in <module>
     36 # pylint: disable=g-import-not-at-top
     37 try:
---> 38   import h5py
     39   HDF5_OBJECT_HEADER_LIMIT = 64512
     40 except ImportError:

C:\ProgramData\Anaconda3\lib\site-packages\h5py\__init__.py in <module>
     34 _errors.silence_errors()
     35 
---> 36 from ._conv import register_converters as _register_converters
     37 _register_converters()
     38 

h5py\h5r.pxd in init h5py._conv()

h5py\h5r.pyx in init h5py.h5r()

AttributeError: type object 'h5py.h5r.Reference' has no attribute '__reduce_cython__'

AttributeError回溯（最近一次调用）
在里面
---->1导入tensorflow作为tf
2作为np导入numpy
3将matplotlib.pyplot作为plt导入
4导入操作系统
5进口全球2
C:\ProgramData\Anaconda3\lib\site packages\tensorflow\\uuuuu init\uuuuuu.py in
22
23#pylint:disable=g-bad-import-order
--->24从tensorflow.python导入pywrapu tensorflow35; pylint:disable=未使用的导入
25
26来自tensorflow.\u api.v1导入应用程序
C:\ProgramData\Anaconda3\lib\site packages\tensorflow\python\\uuuu init\uuuuu.py in
80从tensorflow.python导入数据
81从tensorflow.python导入分发
--->82从tensorflow.python导入keras
83从tensorflow.python.feature_column导入feature_column_lib作为feature_column
84从tensorflow.python.layers导入图层
C:\ProgramData\Anaconda3\lib\site packages\tensorflow\python\keras\\uuuuu init\uuuuuuu.py in
23
24来自tensorflow.python.keras导入激活
--->25来自tensorflow.python.keras导入应用程序
26从tensorflow.python.keras导入后端
27从tensorflow.python.keras导入回调
C:\ProgramData\Anaconda3\lib\site packages\tensorflow\python\keras\applications\\uuuu init\uuuuu.py in
24从tensorflow.python.keras导入后端
25来自tensorflow.python.keras导入引擎
--->26从tensorflow.python.keras导入层
27来自tensorflow.python.keras导入模型
28来自tensorflow.python.keras导入utils
C:\ProgramData\Anaconda3\lib\site packages\tensorflow\python\keras\layers\\uuuu init\uuuuu.py in
27
28#高级激活。
--->29从tensorflow.python.keras.layers.advanced_激活导入LeakyReLU
30从tensorflow.python.keras.layers.advanced_激活导入预处理
31从tensorflow.python.keras.layers.advanced_激活导入ELU
中的C:\ProgramData\Anaconda3\lib\site packages\tensorflow\python\keras\layers\advanced\u activations.py
25来自tensorflow.python.keras.engine.base_层导入层
26来自tensorflow.python.keras.engine.input\u spec导入InputSpec
--->27从tensorflow.python.keras.utils导入tf_utils
28从tensorflow.python.ops导入数学运算
29来自tensorflow.python.util.tf_导出tf_导出
C:\ProgramData\Anaconda3\lib\site packages\tensorflow\python\keras\utils\\uuuuu init\uuuuu.py in
36从tensorflow.python.keras.utils.layer\u utils导入获取\u源\u输入
37来自tensorflow.python.keras.utils.loss\u utils导入压缩或扩展维度
--->38从tensorflow.python.keras.utils.multi_gpu utils导入multi_gpu模型
39从tensorflow.python.keras.utils.np_utils导入规范化
40从tensorflow.python.keras.utils.np\u utils导入到\u category
C:\ProgramData\Anaconda3\lib\site packages\tensorflow\python\keras\utils\multi\u gpu\u utils.py in
20来自tensorflow.python.framework导入操作
21从tensorflow.python.keras导入后端为K
--->22来自tensorflow.python.keras.engine.training导入模型
23从tensorflow.python.ops导入数组
24来自tensorflow.python.util.tf_导出tf_导出
C:\ProgramData\Anaconda3\lib\site packages\tensorflow\python\keras\engine\training.py in
40来自tensorflow.python.keras.engine导入培训\u生成器
41来自tensorflow.python.keras.engine导入培训工具
--->42来自tensorflow.python.keras.engine.network导入网络
43来自tensorflow.python.keras.optimizer\u v2导入优化器\u v2
44从tensorflow.python.keras.utils导入数据
中的C:\ProgramData\Anaconda3\lib\site packages\tensorflow\python\keras\engine\network.py
38来自tensorflow.python.keras.engine导入基础层
39来自tensorflow.python.keras.engine导入基础层
--->40来自tensorflow.python.keras.engine导入保存
41来自tensorflow.python.keras.engine导入培训工具
42从tensorflow.python.keras.utils导入通用\u utils
C:\ProgramData\Anaconda3