не может импортировать керасы из тензорного потока - PullRequest
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не может импортировать керасы из тензорного потока

0 голосов
/ 27 мая 2020

Я пытаюсь использовать keras, но не могу, потому что при запуске from tensorflow import keras я получаю следующую ошибку: 

➜  kerasTutorial python3
Python 3.7.7 (default, Mar 10 2020, 15:43:33)
[Clang 11.0.0 (clang-1100.0.33.17)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from tensorflow import keras
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.7/site-packages/tensorflow/__init__.py", line 41, in <module>
    from tensorflow.python.tools import module_util as _module_util
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/__init__.py", line 64, in <module>
    from tensorflow.python.framework.framework_lib import *  # pylint: disable=redefined-builtin
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/framework_lib.py", line 25, in <module>
    from tensorflow.python.framework.ops import Graph
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 64, in <module>
    from tensorflow.python.platform import app
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/platform/app.py", line 23, in <module>
    from absl.app import run as _run
  File "/usr/local/lib/python3.7/site-packages/absl/app.py", line 35, in <module>
    import pdb
  File "/usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/lib/python3.7/pdb.py", line 76, in <module>
    import code
  File "/Users/mathewlewis/Documents/Y4S3/Crypto/kerasTutorial/code.py", line 4, in <module>
    from tensorflow.keras.models import Sequential
  File "/usr/local/lib/python3.7/site-packages/tensorflow/keras/__init__.py", line 14, in <module>
    from . import activations
  File "/usr/local/lib/python3.7/site-packages/tensorflow/keras/activations/__init__.py", line 10, in <module>
    from tensorflow.python.keras.activations import deserialize
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/keras/__init__.py", line 27, in <module>
    from tensorflow.python.keras import models
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/keras/models.py", line 23, in <module>
    from tensorflow.python.keras import backend as K
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/keras/backend.py", line 36, in <module>
    from tensorflow.python.client import session as session_module
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 38, in <module>
    from tensorflow.python.framework import sparse_tensor
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/sparse_tensor.py", line 29, in <module>
    from tensorflow.python.framework import constant_op
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 324, in <module>
    ops.register_tensor_conversion_function(
AttributeError: module 'tensorflow.python.framework.ops' has no attribute 'register_tensor_conversion_function'
>>>

Я использую python3 на ma c. Я установил как keras, так и tensorflow, используя pip3 install keras и pip3 install tensorflow

. У меня сложилось впечатление, что импорт keras из tensorflow должен быть возможен, учитывая, что здесь на keras.io они предоставляют следующий пример кода: 

import numpy as np
import tensorflow as tf
from tensorflow import keras

Из-за этого я подозреваю, что я неправильно установил tenorflow или keras. По этой причине я включил ниже результаты, которые получаю при запуске pip3 install tensorflow и pip3 install keras: 

➜  kerasTutorial pip3 install tensorflow
Requirement already satisfied: tensorflow in /usr/local/lib/python3.7/site-packages (2.2.0)
Requirement already satisfied: six>=1.12.0 in /usr/local/lib/python3.7/site-packages (from tensorflow) (1.14.0)
Requirement already satisfied: grpcio>=1.8.6 in /usr/local/lib/python3.7/site-packages (from tensorflow) (1.29.0)
Requirement already satisfied: astunparse==1.6.3 in /usr/local/lib/python3.7/site-packages (from tensorflow) (1.6.3)
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /usr/local/lib/python3.7/site-packages (from tensorflow) (0.34.2)
Requirement already satisfied: google-pasta>=0.1.8 in /usr/local/lib/python3.7/site-packages (from tensorflow) (0.2.0)
Requirement already satisfied: h5py<2.11.0,>=2.10.0 in /usr/local/lib/python3.7/site-packages (from tensorflow) (2.10.0)
Requirement already satisfied: gast==0.3.3 in /usr/local/lib/python3.7/site-packages (from tensorflow) (0.3.3)
Requirement already satisfied: opt-einsum>=2.3.2 in /usr/local/lib/python3.7/site-packages (from tensorflow) (3.2.1)
Requirement already satisfied: protobuf>=3.8.0 in /usr/local/lib/python3.7/site-packages (from tensorflow) (3.12.0)
Requirement already satisfied: wrapt>=1.11.1 in /usr/local/lib/python3.7/site-packages (from tensorflow) (1.12.1)
Requirement already satisfied: scipy==1.4.1; python_version >= "3" in /usr/local/lib/python3.7/site-packages (from tensorflow) (1.4.1)
Requirement already satisfied: absl-py>=0.7.0 in /usr/local/lib/python3.7/site-packages (from tensorflow) (0.9.0)
Requirement already satisfied: tensorflow-estimator<2.3.0,>=2.2.0 in /usr/local/lib/python3.7/site-packages (from tensorflow) (2.2.0)
Requirement already satisfied: tensorboard<2.3.0,>=2.2.0 in /usr/local/lib/python3.7/site-packages (from tensorflow) (2.2.1)
Requirement already satisfied: keras-preprocessing>=1.1.0 in /usr/local/lib/python3.7/site-packages (from tensorflow) (1.1.2)
Requirement already satisfied: numpy<2.0,>=1.16.0 in /usr/local/lib/python3.7/site-packages (from tensorflow) (1.18.4)
Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.7/site-packages (from tensorflow) (1.1.0)
Requirement already satisfied: setuptools in /Users/mathewlewis/Library/Python/3.7/lib/python/site-packages (from protobuf>=3.8.0->tensorflow) (46.4.0)
Requirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.7/site-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow) (2.23.0)
Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/site-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow) (3.2.2)
Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/site-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow) (1.15.0)
Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/site-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow) (0.4.1)
Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.7/site-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow) (1.0.1)
Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/site-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow) (1.6.0.post3)
Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard<2.3.0,>=2.2.0->tensorflow) (3.0.4)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard<2.3.0,>=2.2.0->tensorflow) (2020.4.5.1)
Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard<2.3.0,>=2.2.0->tensorflow) (2.9)
Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard<2.3.0,>=2.2.0->tensorflow) (1.25.9)
Requirement already satisfied: importlib-metadata; python_version < "3.8" in /usr/local/lib/python3.7/site-packages (from markdown>=2.6.8->tensorboard<2.3.0,>=2.2.0->tensorflow) (1.6.0)
Requirement already satisfied: rsa<4.1,>=3.1.4 in /usr/local/lib/python3.7/site-packages (from google-auth<2,>=1.6.3->tensorboard<2.3.0,>=2.2.0->tensorflow) (4.0)
Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/site-packages (from google-auth<2,>=1.6.3->tensorboard<2.3.0,>=2.2.0->tensorflow) (4.1.0)
Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/site-packages (from google-auth<2,>=1.6.3->tensorboard<2.3.0,>=2.2.0->tensorflow) (0.2.8)
Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/site-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.3.0,>=2.2.0->tensorflow) (1.3.0)
Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/site-packages (from importlib-metadata; python_version < "3.8"->markdown>=2.6.8->tensorboard<2.3.0,>=2.2.0->tensorflow) (3.1.0)
Requirement already satisfied: pyasn1>=0.1.3 in /usr/local/lib/python3.7/site-packages (from rsa<4.1,>=3.1.4->google-auth<2,>=1.6.3->tensorboard<2.3.0,>=2.2.0->tensorflow) (0.4.8)
Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.3.0,>=2.2.0->tensorflow) (3.1.0)


➜  kerasTutorial pip3 install keras
Requirement already satisfied: keras in /usr/local/lib/python3.7/site-packages (2.3.1)
Requirement already satisfied: keras-applications>=1.0.6 in /usr/local/lib/python3.7/site-packages (from keras) (1.0.8)
Requirement already satisfied: h5py in /usr/local/lib/python3.7/site-packages (from keras) (2.10.0)
Requirement already satisfied: keras-preprocessing>=1.0.5 in /usr/local/lib/python3.7/site-packages (from keras) (1.1.2)
Requirement already satisfied: numpy>=1.9.1 in /usr/local/lib/python3.7/site-packages (from keras) (1.18.4)
Requirement already satisfied: six>=1.9.0 in /usr/local/lib/python3.7/site-packages (from keras) (1.14.0)
Requirement already satisfied: scipy>=0.14 in /usr/local/lib/python3.7/site-packages (from keras) (1.4.1)
Requirement already satisfied: pyyaml in /usr/local/lib/python3.7/site-packages (from keras) (5.3.1)

На случай, если это не так, я использую macbook pro середины 2015 года, работаю с macos catalina. версия 10.15.4

Это была моя лучшая попытка включить всю соответствующую информацию. Если вы хотите узнать что-то еще, дайте мне знать, и я постараюсь выяснить это для вас. Большое спасибо за то, что нашли время, чтобы прочитать этот длинный вопрос.

Я также пробовал использовать keras напрямую, а не импортировать из tensorflow. Для этого я запустил from keras.models import Sequential и получил следующую ошибку: 

➜  kerasTutorial python3
Python 3.7.7 (default, Mar 10 2020, 15:43:33)
[Clang 11.0.0 (clang-1100.0.33.17)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from keras.models import Sequential
Using TensorFlow backend.
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.7/site-packages/keras/__init__.py", line 3, in <module>
    from . import utils
  File "/usr/local/lib/python3.7/site-packages/keras/utils/__init__.py", line 6, in <module>
    from . import conv_utils
  File "/usr/local/lib/python3.7/site-packages/keras/utils/conv_utils.py", line 9, in <module>
    from .. import backend as K
  File "/usr/local/lib/python3.7/site-packages/keras/backend/__init__.py", line 1, in <module>
    from .load_backend import epsilon
  File "/usr/local/lib/python3.7/site-packages/keras/backend/load_backend.py", line 90, in <module>
    from .tensorflow_backend import *
  File "/usr/local/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 5, in <module>
    import tensorflow as tf
  File "/usr/local/lib/python3.7/site-packages/tensorflow/__init__.py", line 41, in <module>
    from tensorflow.python.tools import module_util as _module_util
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/__init__.py", line 64, in <module>
    from tensorflow.python.framework.framework_lib import *  # pylint: disable=redefined-builtin
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/framework_lib.py", line 25, in <module>
    from tensorflow.python.framework.ops import Graph
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 64, in <module>
    from tensorflow.python.platform import app
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/platform/app.py", line 23, in <module>
    from absl.app import run as _run
  File "/usr/local/lib/python3.7/site-packages/absl/app.py", line 35, in <module>
    import pdb
  File "/usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/lib/python3.7/pdb.py", line 76, in <module>
    import code
  File "/Users/mathewlewis/Documents/Y4S3/Crypto/kerasTutorial/code.py", line 4, in <module>
    from tensorflow.keras.models import Sequential
  File "/usr/local/lib/python3.7/site-packages/tensorflow/keras/__init__.py", line 14, in <module>
    from . import activations
  File "/usr/local/lib/python3.7/site-packages/tensorflow/keras/activations/__init__.py", line 10, in <module>
    from tensorflow.python.keras.activations import deserialize
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/keras/__init__.py", line 27, in <module>
    from tensorflow.python.keras import models
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/keras/models.py", line 23, in <module>
    from tensorflow.python.keras import backend as K
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/keras/backend.py", line 36, in <module>
    from tensorflow.python.client import session as session_module
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 38, in <module>
    from tensorflow.python.framework import sparse_tensor
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/sparse_tensor.py", line 29, in <module>
    from tensorflow.python.framework import constant_op
  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 324, in <module>
    ops.register_tensor_conversion_function(
AttributeError: module 'tensorflow.python.framework.ops' has no attribute 'register_tensor_conversion_function'
>>>

Кроме того, я не использую conda. Я хотел бы иметь решение, использующее python3 и пакеты, которые можно установить с помощью pip3.

Ответы [ 4 ]

1 голос
/ 05 июня 2020

Из вашего вопроса вы устанавливаете tensorflow 2.2 

Requirement already satisfied: tensorflow in /usr/local/lib/python3.7/site-packages (2.2.0)

Фактически, если вы используете tf 2.2 в качестве бэкэнда и хотите использовать keras API, вы не должны устанавливать keras, но должны использовать from tensorflow import keras

Поскольку пакет keras не поддерживает тензорный поток 2.2. Если вы проверите официальный выпуск keras https://github.com/keras-team/keras/releases, он поддерживает только tenorflow 2.0.

Следовательно, вам следует удалить и tensorflow, и keras, а только переустановить tensorflow v2.2. Затем проверьте, набрав 

from tensorflow.keras.models import Sequential

. У вас должно получиться запустить свое руководство

0 голосов
/ 02 июня 2020

Я посмотрел на ошибку. У некоторых это было из-за более старой версии Кераса. У вас есть версия, которая не должна вызывать никаких проблем.

Я бы предложил удалить keras и tensorflow: 

pip3 uninstall tensorflow
pip3 uninstall keras

upgrade pip3: 

pip3 install --upgrade pip

и затем снова установите tenorflow: 

pip3 install tensorflow

и попробуйте запустить проект. Если это не сработает, попробуйте также переустановить python.

0 голосов
/ 05 июня 2020

Вам следует установить только Tensorflow 2.2.

Из вашего вопроса вы устанавливаете tenorflow 2.2 

Requirement already satisfied: tensorflow in /usr/local/lib/python3.7/site-packages (2.2.0)

Фактически, если вы используете tf 2.2 в качестве бэкэнда и хотите использовать keras API, вам не следует устанавливать keras, но следует использовать from tensorflow import keras

, поскольку пакет keras не поддерживает тензорный поток 2.2. Если вы проверите официальный выпуск keras https://github.com/keras-team/keras/releases, он поддерживает только tenorflow 2.0.

Следовательно, вам следует удалить как tensorflow, так и keras, а только переустановить tensorflow v2.2. Затем протестируйте, набрав 

from tensorflow.keras.models import Sequential

. Вы сможете запустить свой учебник

0 голосов
/ 28 мая 2020

Если у вас установлена ​​conda, просто скачайте с ее помощью tenorflow.

Создайте среду conda с именем tf и установите последнюю версию tensorflow с помощью команды ниже. 

conda create -n tf tensorflow
conda activate tf
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