[英]ModuleNotFoundError: No module named 'tensorflow' in anaconda
當我嘗試導入 tensorflow 時，conda 提示出現此錯誤
Numpy 並且所有包都已正確導入
我在 C 中有 keras，但它也不起作用。 我越來越多地嘗試通過許多不同的方式安裝 tensorflow
我該如何解決這個問題？
(base) C:\Users\ASUS>conda install -c conda-forge tensorflow
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\ASUS\Anaconda3\Anaconda
added / updated specs:
- tensorflow
The following packages will be downloaded:
package | build
---------------------------|-----------------
absl-py-0.9.0 | py36h9f0ad1d_1 162 KB conda-forge
astor-0.7.1 | py_0 22 KB conda-forge
gast-0.3.3 | py_0 12 KB conda-forge
grpcio-1.23.0 | py36hc6b9980_1 1.0 MB conda-forge
importlib-metadata-1.6.0 | py36h9f0ad1d_0 42 KB conda-forge
keras-applications-1.0.8 | py_1 30 KB conda-forge
keras-preprocessing-1.1.0 | py_0 33 KB conda-forge
libprotobuf-3.11.4 | h1a1b453_0 2.2 MB conda-forge
markdown-3.2.2 | py_0 61 KB conda-forge
protobuf-3.11.4 | py36h97ec31f_1 584 KB conda-forge
python_abi-3.6 | 1_cp36m 4 KB conda-forge
tensorboard-1.13.1 | py36_0 3.3 MB conda-forge
tensorflow-1.13.2 | h21ff451_0 22 KB conda-forge
tensorflow-base-1.13.2 | py36_0 52.5 MB conda-forge
tensorflow-estimator-1.13.0| py36h39e3cac_0 475 KB conda-forge
termcolor-1.1.0 | py_2 6 KB conda-forge
------------------------------------------------------------
Total: 60.5 MB
The following NEW packages will be INSTALLED:
absl-py conda-forge/win-64::absl-py-0.9.0-py36h9f0ad1d_1
astor conda-forge/noarch::astor-0.7.1-py_0
gast conda-forge/noarch::gast-0.3.3-py_0
grpcio conda-forge/win-64::grpcio-1.23.0-py36hc6b9980_1
importlib-metadata conda-forge/win-64::importlib-metadata-1.6.0-py36h9f0ad1d_0
keras-applications conda-forge/noarch::keras-applications-1.0.8-py_1
keras-preprocessi~ conda-forge/noarch::keras-preprocessing-1.1.0-py_0
libprotobuf conda-forge/win-64::libprotobuf-3.11.4-h1a1b453_0
markdown conda-forge/noarch::markdown-3.2.2-py_0
protobuf conda-forge/win-64::protobuf-3.11.4-py36h97ec31f_1
python_abi conda-forge/win-64::python_abi-3.6-1_cp36m
tensorboard conda-forge/win-64::tensorboard-1.13.1-py36_0
tensorflow conda-forge/win-64::tensorflow-1.13.2-h21ff451_0
tensorflow-base conda-forge/win-64::tensorflow-base-1.13.2-py36_0
tensorflow-estima~ conda-forge/win-64::tensorflow-estimator-1.13.0-py36h39e3cac_0
termcolor conda-forge/noarch::termcolor-1.1.0-py_2
The following packages will be UPDATED:
ca-certificates pkgs/main::ca-certificates-2020.1.1-0 --> conda-forge::ca-certificates-2020.4.5.1-hecc5488_0
conda pkgs/main::conda-4.8.3-py36_0 --> conda-forge::conda-4.8.3-py36h9f0ad1d_1
The following packages will be SUPERSEDED by a higher-priority channel:
certifi pkgs/main::certifi-2020.4.5.1-py36_0 --> conda-forge::certifi-2020.4.5.1-py36h9f0ad1d_0
openssl pkgs/main --> conda-forge
Proceed ([y]/n)? y
Downloading and Extracting Packages
astor-0.7.1 | 22 KB | ############################################################################ | 100%
markdown-3.2.2 | 61 KB | ############################################################################ | 100%
grpcio-1.23.0 | 1.0 MB | ############################################################################ | 100%
gast-0.3.3 | 12 KB | ############################################################################ | 100%
termcolor-1.1.0 | 6 KB | ############################################################################ | 100%
tensorflow-1.13.2 | 22 KB | ############################################################################ | 100%
keras-applications-1 | 30 KB | ############################################################################ | 100%
libprotobuf-3.11.4 | 2.2 MB | ############################################################################ | 100%
importlib-metadata-1 | 42 KB | ############################################################################ | 100%
keras-preprocessing- | 33 KB | ############################################################################ | 100%
tensorboard-1.13.1 | 3.3 MB | ############################################################################ | 100%
tensorflow-base-1.13 | 52.5 MB | ############################################################################ | 100%
absl-py-0.9.0 | 162 KB | ############################################################################ | 100%
python_abi-3.6 | 4 KB | ############################################################################ | 100%
protobuf-3.11.4 | 584 KB | ############################################################################ | 100%
tensorflow-estimator | 475 KB | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(base) C:\Users\ASUS>python
Python 3.6.5 |Anaconda, Inc.| (default, Mar 29 2018, 13:32:41) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> import cv2
>>> import tensorflow
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\h5py\__init__.py:40: UserWarning: h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems
'{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple)
Warning! ***HDF5 library version mismatched error***
The HDF5 header files used to compile this application do not match
the version used by the HDF5 library to which this application is linked.
Data corruption or segmentation faults may occur if the application continues.
This can happen when an application was compiled by one version of HDF5 but
linked with a different version of static or shared HDF5 library.
You should recompile the application or check your shared library related
settings such as 'LD_LIBRARY_PATH'.
You can, at your own risk, disable this warning by setting the environment
variable 'HDF5_DISABLE_VERSION_CHECK' to a value of '1'.
Setting it to 2 or higher will suppress the warning messages totally.
Headers are 1.10.4, library is 1.10.5
SUMMARY OF THE HDF5 CONFIGURATION
=================================
General Information:
-------------------
HDF5 Version: 1.10.5
Configured on: 2019-03-04
Configured by: Visual Studio 14 2015 Win64
Host system: Windows-10.0.17763
Uname information: Windows
Byte sex: little-endian
Installation point: C:/Program Files/HDF5
Compiling Options:
------------------
Build Mode:
Debugging Symbols:
Asserts:
Profiling:
Optimization Level:
Linking Options:
----------------
Libraries:
Statically Linked Executables: OFF
LDFLAGS: /machine:x64
H5_LDFLAGS:
AM_LDFLAGS:
Extra libraries:
Archiver:
Ranlib:
Languages:
----------
C: yes
C Compiler: C:/Program Files (x86)/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe 19.0.24218.1
CPPFLAGS:
H5_CPPFLAGS:
AM_CPPFLAGS:
CFLAGS: /DWIN32 /D_WINDOWS /W3
H5_CFLAGS:
AM_CFLAGS:
Shared C Library: YES
Static C Library: YES
Fortran: OFF
Fortran Compiler:
Fortran Flags:
H5 Fortran Flags:
AM Fortran Flags:
Shared Fortran Library: YES
Static Fortran Library: YES
C++: ON
C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe 19.0.24218.1
C++ Flags: /DWIN32 /D_WINDOWS /W3 /GR /EHsc
H5 C++ Flags:
AM C++ Flags:
Shared C++ Library: YES
Static C++ Library: YES
JAVA: OFF
JAVA Compiler:
Features:
---------
Parallel HDF5: OFF
Parallel Filtered Dataset Writes:
Large Parallel I/O:
High-level library: ON
Threadsafety: OFF
Default API mapping: v110
With deprecated public symbols: ON
I/O filters (external): DEFLATE DECODE ENCODE
MPE:
Direct VFD:
dmalloc:
Packages w/ extra debug output:
API Tracing: OFF
Using memory checker: OFF
Memory allocation sanity checks: OFF
Function Stack Tracing: OFF
Strict File Format Checks: OFF
Optimization Instrumentation:
Bye...
(base) C:\Users\ASUS>python
Python 3.6.5 |Anaconda, Inc.| (default, Mar 29 2018, 13:32:41) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\python\framework\dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\h5py\__init__.py:40: UserWarning: h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems
'{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple)
Warning! ***HDF5 library version mismatched error***
The HDF5 header files used to compile this application do not match
the version used by the HDF5 library to which this application is linked.
Data corruption or segmentation faults may occur if the application continues.
This can happen when an application was compiled by one version of HDF5 but
linked with a different version of static or shared HDF5 library.
You should recompile the application or check your shared library related
settings such as 'LD_LIBRARY_PATH'.
You can, at your own risk, disable this warning by setting the environment
variable 'HDF5_DISABLE_VERSION_CHECK' to a value of '1'.
Setting it to 2 or higher will suppress the warning messages totally.
Headers are 1.10.4, library is 1.10.5
SUMMARY OF THE HDF5 CONFIGURATION
=================================
General Information:
-------------------
HDF5 Version: 1.10.5
Configured on: 2019-03-04
Configured by: Visual Studio 14 2015 Win64
Host system: Windows-10.0.17763
Uname information: Windows
Byte sex: little-endian
Installation point: C:/Program Files/HDF5
Compiling Options:
------------------
Build Mode:
Debugging Symbols:
Asserts:
Profiling:
Optimization Level:
Linking Options:
----------------
Libraries:
Statically Linked Executables: OFF
LDFLAGS: /machine:x64
H5_LDFLAGS:
AM_LDFLAGS:
Extra libraries:
Archiver:
Ranlib:
Languages:
----------
C: yes
C Compiler: C:/Program Files (x86)/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe 19.0.24218.1
CPPFLAGS:
H5_CPPFLAGS:
AM_CPPFLAGS:
CFLAGS: /DWIN32 /D_WINDOWS /W3
H5_CFLAGS:
AM_CFLAGS:
Shared C Library: YES
Static C Library: YES
Fortran: OFF
Fortran Compiler:
Fortran Flags:
H5 Fortran Flags:
AM Fortran Flags:
Shared Fortran Library: YES
Static Fortran Library: YES
C++: ON
C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe 19.0.24218.1
C++ Flags: /DWIN32 /D_WINDOWS /W3 /GR /EHsc
H5 C++ Flags:
AM C++ Flags:
Shared C++ Library: YES
Static C++ Library: YES
JAVA: OFF
JAVA Compiler:
Features:
---------
Parallel HDF5: OFF
Parallel Filtered Dataset Writes:
Large Parallel I/O:
High-level library: ON
Threadsafety: OFF
Default API mapping: v110
With deprecated public symbols: ON
I/O filters (external): DEFLATE DECODE ENCODE
MPE:
Direct VFD:
dmalloc:
Packages w/ extra debug output:
API Tracing: OFF
Using memory checker: OFF
Memory allocation sanity checks: OFF
Function Stack Tracing: OFF
Strict File Format Checks: OFF
Optimization Instrumentation:
Bye...
(base) C:\Users\ASUS>pip install tensorflow
Requirement already satisfied: tensorflow in c:\users\asus\anaconda3\anaconda\lib\site-packages (1.13.2)
Requirement already satisfied: astor>=0.6.0 in c:\users\asus\anaconda3\anaconda\lib\site-packages (from tensorflow) (0.8.1)
Requirement already satisfied: wheel>=0.26 in c:\users\asus\anaconda3\anaconda\lib\site-packages (from tensorflow) (0.34.2)
Requirement already satisfied: protobuf>=3.6.1 in c:\users\asus\anaconda3\anaconda\lib\site-packages (from tensorflow) (3.12.0)
Requirement already satisfied: gast>=0.2.0 in c:\users\asus\anaconda3\anaconda\lib\site-packages (from tensorflow) (0.3.3)
Requirement already satisfied: numpy<2.0,>=1.16.0 in c:\users\asus\anaconda3\anaconda\lib\site-packages (from tensorflow) (1.18.4)
WARNING: No metadata found in c:\users\asus\anaconda3\anaconda\lib\site-packages
ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: 'c:\\users\\asus\\anaconda3\\anaconda\\lib\\site-packages\\numpy-1.18.4.dist-info\\METADATA'
(base) C:\Users\ASUS>pip install tensorflow-gpu
Collecting tensorflow-gpu
Downloading tensorflow_gpu-2.2.0-cp36-cp36m-win_amd64.whl (460.3 MB)
|████████████████████████████████| 460.3 MB 811 bytes/s
Requirement already satisfied: protobuf>=3.8.0 in c:\users\asus\anaconda3\anaconda\lib\site-packages (from tensorflow-gpu) (3.12.0)
Requirement already satisfied: absl-py>=0.7.0 in c:\users\asus\anaconda3\anaconda\lib\site-packages (from tensorflow-gpu) (0.9.0)
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ProtocolError('Connection aborted.', ConnectionResetError(10054, 'An existing connection was forcibly closed by the remote host', None, 10054, None))': /simple/tensorflow-gpu-estimator/
Collecting tensorflow-gpu-estimator<2.3.0,>=2.2.0
Downloading tensorflow_gpu_estimator-2.2.0-py2.py3-none-any.whl (470 kB)
|████████████████████████████████| 470 kB 364 kB/s
Requirement already satisfied: wheel>=0.26; python_version >= "3" in c:\users\asus\anaconda3\anaconda\lib\site-packages (from tensorflow-gpu) (0.34.2)
Requirement already satisfied: numpy<2.0,>=1.16.0 in c:\users\asus\anaconda3\anaconda\lib\site-packages (from tensorflow-gpu) (1.18.4)
WARNING: No metadata found in c:\users\asus\anaconda3\anaconda\lib\site-packages
ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: 'c:\\users\\asus\\anaconda3\\anaconda\\lib\\site-packages\\numpy-1.18.4.dist-info\\METADATA'
我想在沒有環境的情況下安裝 tensorflow 我想要它在我的 python
雖然解決方案在 Github 中提供，但為了 stackoverflow 社區的利益，我在此處發布解決方案。
錯誤：由於環境錯誤而無法安裝軟件包：[Errno 2] 沒有這樣的文件或？目錄：'c:\users\asus\anaconda3\anaconda\lib\site-packages\numpy-1.18.4.dist-info\元數據'
它說c:\\users\\asus\\anaconda3\\anaconda\\lib\\site-packages\\numpy-1.18.4.dist-info\\沒有METADATA文件。
可以使用以下方法解決。
第一種方法：創建空的METADATA文件並將其放置在 pip 正在尋找的位置
第二種方法：將文件夾numpy-1.18.4.dist-info移出並再次運行主安裝。
第三種方法： pip install tensorflow --user in the Prompt Anaconda
更多詳情請參考 這里。
如果沒有一種方法不能解決您的問題，請告訴我們。
嘗試使用：首先創建一個空的元數據文件，執行以下命令Conda create -n tensorflow pip python 一旦命令被執行使用：conda activate tensorflow
願你會發現這個答案很有用。 這就是命令的工作方式
Anaconda：ModuleNotFoundError：沒有名為“tensorflow”的模塊
[英]Anaconda : ModuleNotFoundError: No module named 'tensorflow'
ModuleNotFoundError：沒有名為“tensorflow.python”的模塊 Anaconda
[英]ModuleNotFoundError: No module named 'tensorflow.python' Anaconda
ModuleNotFoundError：在蟒蛇python 3.6.3中沒有名為'tensorflow'的模塊
[英]ModuleNotFoundError: No module named ‘tensorflow’ in anaconda python 3.6.3
tensorflow 在 anaconda 控制台中工作，在筆記本中失敗：.ModuleNotFoundError: No module named 'tensorflow'
[英]tensorflow works in anaconda console, fails in notebook with:.ModuleNotFoundError: No module named 'tensorflow'
ModuleNotFoundError：為anaconda3安裝Keras時，沒有名為“ tensorflow”的模塊
[英]ModuleNotFoundError: No module named 'tensorflow' while installing Keras for anaconda3
ModuleNotFoundError：anaconda 中沒有名為“MYSQLdb”的模塊
[英]ModuleNotFoundError: No module named 'MYSQLdb' in anaconda
ModuleNotFoundError：沒有名為“nets”的模塊（TensorFlow）
[英]ModuleNotFoundError: No module named 'nets' (TensorFlow)
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