问题描述
系统信息
- Windows10 64位
- Python 3.8版
- 尝试使用conda和pip在virtualenv中安装
- CUDA / cuDNN版本：9.2
- GPU型号和内存：NVIDIA GeForce GTX 950M
问题 我创建了一个虚拟环境，并在那里开始安装必要的软件包。当我尝试运行使用tensorflow的脚本时，无法导入它。 搜索之后，我尝试将其导入jupyter笔记本中，但是没有用。 然后，我尝试将其添加到我的代码中，但它也不起作用： tf.compat.v1.enable_eager_execution（ config = None，device_policy = None，execution_mode = None ） 我尝试先使用conda然后使用pip在该环境中安装tensorflow。
已执行的命令/步骤的顺序
-运行脚本：
d:\software\anaconda_envs\sweaver\avgn_paper-vizmerge\avgn\utils\json.py:64: ResourceWarning: unclosed file <_io.TextIOWrapper name='D:\\Software\\Anaconda_envs\\sweaver\\avgn_paper-vizmerge\\data\\processed\\sociable_weaver_damelio\\2020-08-21_09-35-13\\JSON\\2018-10-19_09-00-00-000001.JSON' mode='r' encoding='cp1252'>
return json.load(open(json_loc),object_pairs_hook=OrderedDict)
ResourceWarning: Enable tracemalloc to get the object allocation traceback
HBox(children=(FloatProgress(value=0.0,description='loading json',max=1.0,style=ProgressStyle(description_w…
[Parallel(n_jobs=-1)]: Using backend LokyBackend with 8 concurrent workers.
[Parallel(n_jobs=-1)]: Done 1 out of 1 | elapsed: 3.0s finished
HBox(children=(FloatProgress(value=0.0,description='getting unique individuals',style=ProgressStyle…
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-43-e50f361ab3a6> in <module>
1 # create a dataset object
----> 2 dataset = DataSet(DATASET_ID,hparams = hparams)
d:\software\anaconda_envs\sweaver\avgn_paper-vizmerge\avgn\dataset.py in __init__(self,DATASET_ID,hparams,default_rate,build_mel_matrix)
43
44 if build_mel_matrix:
---> 45 self.build_mel_matrix()
46
47 def _get_wav_json_files(self):
d:\software\anaconda_envs\sweaver\avgn_paper-vizmerge\avgn\dataset.py in build_mel_matrix(self,rate)
66 if rate is None:
67 rate = self.sample_json["samplerate_hz"]
---> 68 self.mel_matrix = prepare_mel_matrix(self.hparams,rate)
69
70 def _get_unique_individuals(self):
d:\software\anaconda_envs\sweaver\avgn_paper-vizmerge\avgn\signalprocessing\filtering.py in prepare_mel_matrix(hparams,rate,return_numpy,GPU_backend)
71 os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" # see issue #152
72 os.environ["CUDA_VISIBLE_DEVICES"] = ""
---> 73 import tensorflow as tf
74
75 tf.compat.v1.enable_eager_execution(
ModuleNotFoundError: No module named 'tensorflow'
-将其导入jupyter笔记本
import sys
!conda install --yes --prefix {sys.prefix} tensorflow
UnsatisfiableError: The following specifications were found to be incompatible with the existing python installation in your environment:
Specifications:
- tensorflow -> python[version'3.5.*|3.6.*|3.7.*'
Your python: python=3.8
The following specifications were found to be incompatible with your CUDA driver:
- feature:/win-64::__cuda==9.2=0
Your installed CUDA driver is: 9.2
-当我尝试通过conda安装它时：
(D:\Software\Anaconda_envs\sweaver) D:\Software\Anaconda_envs\sweaver>conda install tensorflow
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json,will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
Examining @/win-64::__cuda==9.2=0: 67%|████████████████████████████████▋ | 2/3 [00:00<00:00,18.17it/s]|Examining conflict for __cuda: 67%|███████████████████████████████████▎ | 2/3 [00:00<00:00,3.77it/s]|failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- tensorflow -> python[version='3.5.*|3.6.*|3.7.*']
Your python: python=3.8
If python is on the left-most side of the chain,that's the version you've asked for.
When python appears to the right,that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with your system:
- feature:/win-64::__cuda==9.2=0
- feature:|@/win-64::__cuda==9.2=0
Your installed version is: 9.2
-当我尝试使用pip安装它时：
(D:\Software\Anaconda_envs\sweaver) D:\Software\Anaconda_envs\sweaver>pip install tensorflow
Collecting tensorflow
Using cached tensorflow-2.3.0-cp38-cp38-win_amd64.whl (342.5 MB)
Requirement already satisfied: wrapt>=1.11.1 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorflow) (1.11.2)
Collecting keras-preprocessing<1.2,>=1.1.1
Using cached Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
Collecting tensorboard<3,>=2.3.0
Using cached tensorboard-2.3.0-py3-none-any.whl (6.8 MB)
Requirement already satisfied: grpcio>=1.8.6 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorflow) (1.31.0)
Collecting numpy<1.19.0,>=1.16.0
Using cached numpy-1.18.5-cp38-cp38-win_amd64.whl (12.8 MB)
Collecting opt-einsum>=2.3.2
Using cached opt_einsum-3.3.0-py3-none-any.whl (65 kB)
Requirement already satisfied: absl-py>=0.7.0 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorflow) (0.10.0)
Requirement already satisfied: wheel>=0.26 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorflow) (0.34.2)
Collecting scipy==1.4.1
Using cached scipy-1.4.1-cp38-cp38-win_amd64.whl (31.0 MB)
Collecting astunparse==1.6.3
Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Requirement already satisfied: h5py<2.11.0,>=2.10.0 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorflow) (2.10.0)
Collecting protobuf>=3.9.2
Using cached protobuf-3.13.0-py2.py3-none-any.whl (438 kB)
Collecting google-pasta>=0.1.8
Using cached google_pasta-0.2.0-py3-none-any.whl (57 kB)
Requirement already satisfied: tensorflow-estimator<2.4.0,>=2.3.0 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorflow) (2.3.0)
Requirement already satisfied: gast==0.3.3 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorflow) (0.3.3)
Requirement already satisfied: six>=1.12.0 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorflow) (1.15.0)
Processing c:\users\bf\appdata\local\pip\cache\wheels\a0\16\9c\5473df82468f958445479c59e784896fa24f4a5fc024b0f501\termcolor-1.1.0-py3-none-any.whl
Requirement already satisfied: werkzeug>=0.11.15 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorboard<3,>=2.3.0->tensorflow) (1.0.1)
Collecting markdown>=2.6.8
Using cached Markdown-3.2.2-py3-none-any.whl (88 kB)
Collecting google-auth-oauthlib<0.5,>=0.4.1
Using cached google_auth_oauthlib-0.4.1-py2.py3-none-any.whl (18 kB)
Requirement already satisfied: setuptools>=41.0.0 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorboard<3,>=2.3.0->tensorflow) (49.6.0.post20200814)
Collecting tensorboard-plugin-wit>=1.6.0
Using cached tensorboard_plugin_wit-1.7.0-py3-none-any.whl (779 kB)
Requirement already satisfied: requests<3,>=2.21.0 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorboard<3,>=2.3.0->tensorflow) (2.24.0)
Requirement already satisfied: google-auth<2,>=1.6.3 in d:\software\anaconda_envs\sweaver\lib\site-packages (from tensorboard<3,>=2.3.0->tensorflow) (1.20.1)
Collecting requests-oauthlib>=0.7.0
Using cached requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in d:\software\anaconda_envs\sweaver\lib\site-packages (from requests<3,>=2.21.0->tensorboard<3,>=2.3.0->tensorflow) (1.25.10)
Requirement already satisfied: certifi>=2017.4.17 in d:\software\anaconda_envs\sweaver\lib\site-packages (from requests<3,>=2.3.0->tensorflow) (2020.6.20)
Requirement already satisfied: chardet<4,>=3.0.2 in d:\software\anaconda_envs\sweaver\lib\site-packages (from requests<3,>=2.3.0->tensorflow) (3.0.4)
Requirement already satisfied: idna<3,>=2.5 in d:\software\anaconda_envs\sweaver\lib\site-packages (from requests<3,>=2.3.0->tensorflow) (2.10)
Requirement already satisfied: pyasn1-modules>=0.2.1 in d:\software\anaconda_envs\sweaver\lib\site-packages (from google-auth<2,>=1.6.3->tensorboard<3,>=2.3.0->tensorflow) (0.2.8)
Requirement already satisfied: rsa<5,>=3.1.4; python_version >= "3.5" in d:\software\anaconda_envs\sweaver\lib\site-packages (from google-auth<2,>=2.3.0->tensorflow) (4.5)
Requirement already satisfied: cachetools<5.0,>=2.0.0 in d:\software\anaconda_envs\sweaver\lib\site-packages (from google-auth<2,>=2.3.0->tensorflow) (4.1.1)
Collecting oauthlib>=3.0.0
Using cached oauthlib-3.1.0-py2.py3-none-any.whl (147 kB)
Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in d:\software\anaconda_envs\sweaver\lib\site-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=2.3.0->tensorflow) (0.4.8)
ERROR: Error while checking for conflicts. Please file an issue on pip's issue tracker: https://github.com/pypa/pip/issues/new
Traceback (most recent call last):
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_vendor\pkg_resources\__init__.py",line 3021,in _dep_map
return self.__dep_map
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_vendor\pkg_resources\__init__.py",line 2815,in __getattr__
raise AttributeError(attr)
AttributeError: _DistInfoDistribution__dep_map
During handling of the above exception,another exception occurred:
Traceback (most recent call last):
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_vendor\pkg_resources\__init__.py",line 3012,in _parsed_pkg_info
return self._pkg_info
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_vendor\pkg_resources\__init__.py",in __getattr__
raise AttributeError(attr)
AttributeError: _pkg_info
During handling of the above exception,another exception occurred:
Traceback (most recent call last):
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_internal\commands\install.py",line 535,in _determine_conflicts
return check_install_conflicts(to_install)
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_internal\operations\check.py",line 108,in check_install_conflicts
package_set,_ = create_package_set_from_installed()
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_internal\operations\check.py",line 50,in create_package_set_from_installed
package_set[name] = PackageDetails(dist.version,dist.requires())
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_vendor\pkg_resources\__init__.py",line 2736,in requires
dm = self._dep_map
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_vendor\pkg_resources\__init__.py",line 3023,in _dep_map
self.__dep_map = self._compute_dependencies()
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_vendor\pkg_resources\__init__.py",line 3032,in _compute_dependencies
for req in self._parsed_pkg_info.get_all('Requires-Dist') or []:
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_vendor\pkg_resources\__init__.py",line 3014,in _parsed_pkg_info
metadata = self.get_metadata(self.PKG_INFO)
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_vendor\pkg_resources\__init__.py",line 1420,in get_metadata
value = self._get(path)
File "D:\Software\Anaconda_envs\sweaver\lib\site-packages\pip\_vendor\pkg_resources\__init__.py",line 1616,in _get
with open(path,'rb') as stream:
FileNotFoundError: [Errno 2] No such file or directory: 'd:\\software\\anaconda_envs\\sweaver\\lib\\site-packages\\numpy-1.19.1.dist-info\\METADATA'
Installing collected packages: numpy,keras-preprocessing,protobuf,markdown,oauthlib,requests-oauthlib,google-auth-oauthlib,tensorboard-plugin-wit,tensorboard,opt-einsum,scipy,astunparse,google-pasta,termcolor,tensorflow
Attempting uninstall: numpy
Found existing installation: numpy 1.19.1
ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: 'd:\\software\\anaconda_envs\\sweaver\\lib\\site-packages\\numpy-1.19.1.dist-info\\RECORD'
也许这是tensorflow和numpy之间的兼容性问题吗？但是文件'd：\ software \ anaconda_envs \ sweaver \ lib \ site-packages \ numpy-1.19.1.dist-info \ RECORD'实际上不存在。 我搜索了我的软件包，并找到了一个文件夹numpy，numpy-1.18.5.dist-info和numpy-1.19.1.dist-info，但在最后一个文件夹中，只有两个文件：LICENSES_bundled.txt和REQUESTED
然后，我删除了文件夹numpy-1.19.1dist-info，并使用--user通过命令行安装了tensorflow来允许安装，但是它已安装在其他位置。 因此，我使用：
import sys
sys.path.append()
仍然没有用。另外，其中一个文件（pywrap_tensorflow_internal.py）为空，表明安装中存在一些问题。
希望你能帮助我。
解决方法
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