在运行tensorflow-datasets时遇到import tensorflow.compat.v2 as tf失败的情况

最新推荐文章于 2023-06-05 14:32:55 发布
原创 最新推荐文章于 2023-06-05 14:32:55 发布 · 7.4k 阅读 · 1 ·
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#tensorflow

本文解决在使用TensorFlow-Datasets时遇到的导入失败问题，通过调整TensorFlow及TensorFlow-Datasets版本至兼容状态，确保了代码的正常运行。
TensorFlow-v2.9

TensorFlow-v2.9

TensorFlow

TensorFlow 是由Google Brain 团队开发的开源机器学习框架,广泛应用于深度学习研究和生产环境。 它提供了一个灵活的平台,用于构建和训练各种机器学习模型

在运行tensorflow-datasets时遇到import tensorflow.compat.v2 as tf失败的情况

tensorflow-datasets要求tensorflow版本>=1.13.0
我安装的tf版本为1.13.1，如果直接

pip install tensorflow-datasets

的话会默认安装最新版本，版本过高会有import tensorflow.compat failed的保持
所以先卸载版本过高的tensorflow-datasets

pip uninstall tensorflow-datasets

再安装

pip install tensorflow-datasets==1.0.1

即可

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--------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 1 ----> 1 from keras.datasets import imdb 3 # 加载IMDB数据集（保留最常见的20,000词） 4 max_features = 20000 File A:\anaconda\Lib\site-packages\keras\__init__.py:7 1 """DO NOT EDIT. 2 3 This file was autogenerated. Do not edit it by hand, 4 since your modifications would be overwritten. 5 """ ----> 7 from keras import _tf_keras as _tf_keras 8 from keras import activations as activations 9 from keras import applications as applications File A:\anaconda\Lib\site-packages\keras\_tf_keras\__init__.py:1 ----> 1 from keras._tf_keras import keras File A:\anaconda\Lib\site-packages\keras\_tf_keras\keras\__init__.py:7 1 """DO NOT EDIT. 2 3 This file was autogenerated. Do not edit it by hand, 4 since your modifications would be overwritten. 5 """ ----> 7 from keras import activations as activations 8 from keras import applications as applications 9 from keras import callbacks as callbacks File A:\anaconda\Lib\site-packages\keras\activations\__init__.py:7 1 """DO NOT EDIT. 2 3 This file was autogenerated. Do not edit it by hand, 4 since your modifications would be overwritten. 5 """ ----> 7 from keras.src.activations import deserialize as deserialize 8 from keras.src.activations import get as get 9 from keras.src.activations import serialize as serialize File A:\anaconda\Lib\site-packages\keras\src\__init__.py:1 ----> 1 from keras.src import activations 2 from keras.src import applications 3 from keras.src import backend File A:\anaconda\Lib\site-packages\keras\src\activations\__init__.py:3 1 import types ----> 3 from keras.src.activations.activations import celu 4 from keras.src.activations.activations import elu 5 from keras.src.activations.activations import exponential File A:\anaconda\Lib\site-packages\keras\src\activations\activations.py:1 ----> 1 from keras.src import backend 2 from keras.src import ops 3 from keras.src.api_export import keras_export File A:\anaconda\Lib\site-packages\keras\src\backend\__init__.py:10 7 import torch 9 from keras.src.api_export import keras_export ---> 10 from keras.src.backend.common.dtypes import result_type 11 from keras.src.backend.common.keras_tensor import KerasTensor 12 from keras.src.backend.common.keras_tensor import any_symbolic_tensors File A:\anaconda\Lib\site-packages\keras\src\backend\common\__init__.py:2 1 from keras.src.backend.common import backend_utils ----> 2 from keras.src.backend.common.dtypes import result_type 3 from keras.src.backend.common.variables import AutocastScope 4 from keras.src.backend.common.variables import Variable as KerasVariable File A:\anaconda\Lib\site-packages\keras\src\backend\common\dtypes.py:5 3 from keras.src.api_export import keras_export 4 from keras.src.backend import config ----> 5 from keras.src.backend.common.variables import standardize_dtype 7 BOOL_TYPES = ("bool",) 8 INT_TYPES = ( 9 "uint8", 10 "uint16", (...) 16 "int64", 17 ) File A:\anaconda\Lib\site-packages\keras\src\backend\common\variables.py:11 9 from keras.src.backend.common.stateless_scope import get_stateless_scope 10 from keras.src.backend.common.stateless_scope import in_stateless_scope ---> 11 from keras.src.utils.module_utils import tensorflow as tf 12 from keras.src.utils.naming import auto_name 15 class Variable: File A:\anaconda\Lib\site-packages\keras\src\utils\__init__.py:1 ----> 1 from keras.src.utils.audio_dataset_utils import audio_dataset_from_directory 2 from keras.src.utils.dataset_utils import split_dataset 3 from keras.src.utils.file_utils import get_file File A:\anaconda\Lib\site-packages\keras\src\utils\audio_dataset_utils.py:4 1 import numpy as np 3 from keras.src.api_export import keras_export ----> 4 from keras.src.utils import dataset_utils 5 from keras.src.utils.module_utils import tensorflow as tf 6 from keras.src.utils.module_utils import tensorflow_io as tfio File A:\anaconda\Lib\site-packages\keras\src\utils\dataset_utils.py:9 5 from multiprocessing.pool import ThreadPool 7 import numpy as np ----> 9 from keras.src import tree 10 from keras.src.api_export import keras_export 11 from keras.src.utils import io_utils File A:\anaconda\Lib\site-packages\keras\src\tree\__init__.py:1 ----> 1 from keras.src.tree.tree_api import assert_same_paths 2 from keras.src.tree.tree_api import assert_same_structure 3 from keras.src.tree.tree_api import flatten File A:\anaconda\Lib\site-packages\keras\src\tree\tree_api.py:8 5 from keras.src.utils.module_utils import optree 7 if optree.available: ----> 8 from keras.src.tree import optree_impl as tree_impl 9 elif dmtree.available: 10 from keras.src.tree import dmtree_impl as tree_impl File A:\anaconda\Lib\site-packages\keras\src\tree\optree_impl.py:13 11 # Register backend-specific node classes 12 if backend() == "tensorflow": ---> 13 from tensorflow.python.trackable.data_structures import ListWrapper 14 from tensorflow.python.trackable.data_structures import _DictWrapper 16 try: File A:\anaconda\Lib\site-packages\tensorflow\__init__.py:55 53 from tensorflow._api.v2 import autograph 54 from tensorflow._api.v2 import bitwise ---> 55 from tensorflow._api.v2 import compat 56 from tensorflow._api.v2 import config 57 from tensorflow._api.v2 import data File A:\anaconda\Lib\site-packages\tensorflow\_api\v2\compat\__init__.py:8 3 """Public API for tf._api.v2.compat namespace 4 """ 6 import sys as _sys ----> 8 from tensorflow._api.v2.compat import v1 9 from tensorflow._api.v2.compat import v2 10 from tensorflow.python.compat.compat import forward_compatibility_horizon # line: 125 File A:\anaconda\Lib\site-packages\tensorflow\_api\v2\compat\v1\__init__.py:30 28 from tensorflow._api.v2.compat.v1 import autograph 29 from tensorflow._api.v2.compat.v1 import bitwise ---> 30 from tensorflow._api.v2.compat.v1 import compat 31 from tensorflow._api.v2.compat.v1 import config 32 from tensorflow._api.v2.compat.v1 import data File A:\anaconda\Lib\site-packages\tensorflow\_api\v2\compat\v1\compat\__init__.py:8 3 """Public API for tf._api.v2.compat namespace 4 """ 6 import sys as _sys ----> 8 from tensorflow._api.v2.compat.v1.compat import v1 9 from tensorflow._api.v2.compat.v1.compat import v2 10 from tensorflow.python.compat.compat import forward_compatibility_horizon # line: 125 File A:\anaconda\Lib\site-packages\tensorflow\_api\v2\compat\v1\compat\v1\__init__.py:32 30 from tensorflow._api.v2.compat.v1 import compat 31 from tensorflow._api.v2.compat.v1 import config ---> 32 from tensorflow._api.v2.compat.v1 import data 33 from tensorflow._api.v2.compat.v1 import debugging 34 from tensorflow._api.v2.compat.v1 import distribute File A:\anaconda\Lib\site-packages\tensorflow\_api\v2\compat\v1\data\__init__.py:8 3 """Public API for tf._api.v2.data namespace 4 """ 6 import sys as _sys ----> 8 from tensorflow._api.v2.compat.v1.data import experimental 9 from tensorflow.python.data.ops.dataset_ops import AUTOTUNE # line: 103 10 from tensorflow.python.data.ops.dataset_ops import DatasetV1 as Dataset # line: 3710 File A:\anaconda\Lib\site-packages\tensorflow\_api\v2\compat\v1\data\experimental\__init__.py:32 30 from tensorflow.python.data.experimental.ops.interleave_ops import parallel_interleave # line: 29 31 from tensorflow.python.data.experimental.ops.interleave_ops import sample_from_datasets_v1 as sample_from_datasets # 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--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-1-232abbca6849> in <module> 1 import os ----> 2 from keras.datasets import mnist 3 (train_images,train_labels),(test_images,test_labels)=mnist.load_data((os.getcwd())+'/mnist.npz') 4 print(type(train_images)) 5 print(type(train_labels)) D:\rujian\pc\lib\site-packages\keras\__init__.py in <module> 18 [keras.io](https://keras.io). 19 """ ---> 20 from keras import distribute 21 from keras import models 22 from keras.engine.input_layer import Input D:\rujian\pc\lib\site-packages\keras\distribute\__init__.py in <module> 16 17 ---> 18 from keras.distribute import sidecar_evaluator D:\rujian\pc\lib\site-packages\keras\distribute\sidecar_evaluator.py in <module> 15 """Python module for evaluation loop.""" 16 ---> 17 import tensorflow.compat.v2 as tf 18 19 # isort: off D:\rujian\pc\lib\site-packages\tensorflow\__init__.py in <module> 35 import typing as _typing 36 ---> 37 from tensorflow.python.tools import module_util as _module_util 38 from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader 39 D:\rujian\pc\lib\site-packages\tensorflow\python\__init__.py in <module> 43 from tensorflow.python import distribute 44 # from tensorflow.python import keras ---> 45 from tensorflow.python.feature_column import feature_column_lib as feature_column 46 # from tensorflow.python.layers import layers 47 from tensorflow.python.module import module D:\rujian\pc\lib\site-packages\tensorflow\python\feature_column\feature_column_lib.py in <module> 16 17 # pylint: disable=unused-import,line-too-long,wildcard-import,g-bad-import-order ---> 18 from tensorflow.python.feature_column.feature_column import * 19 from tensorflow.python.feature_column.feature_column_v2 import * 20 from tensorflow.python.feature_column.sequence_feature_column import * D:\rujian\pc\lib\site-packages\tensorflow\python\feature_column\feature_column.py in <module> 141 from tensorflow.python.framework import sparse_tensor as sparse_tensor_lib 142 from tensorflow.python.framework import tensor_shape --> 143 from tensorflow.python.layers import base 144 from tensorflow.python.ops import array_ops 145 from tensorflow.python.ops import check_ops D:\rujian\pc\lib\site-packages\tensorflow\python\layers\base.py in <module> 14 # ============================================================================= 15 """Contains the base Layer class, from which all layers inherit.""" ---> 16 from tensorflow.python.keras.legacy_tf_layers import base 17 18 InputSpec = base.InputSpec D:\rujian\pc\lib\site-packages\tensorflow\python\keras\__init__.py in <module> 23 24 # See b/110718070#comment18 for more details about this import. ---> 25 from tensorflow.python.keras import models 26 27 from tensorflow.python.keras.engine.input_layer import Input D:\rujian\pc\lib\site-packages\tensorflow\python\keras\models.py in <module> 20 from tensorflow.python.keras import metrics as metrics_module 21 from tensorflow.python.keras import optimizer_v1 ---> 22 from tensorflow.python.keras.engine import functional 23 from tensorflow.python.keras.engine import sequential 24 from tensorflow.python.keras.engine import training D:\rujian\pc\lib\site-packages\tensorflow\python\keras\engine\functional.py in <module> 30 from tensorflow.python.keras.engine import input_spec 31 from tensorflow.python.keras.engine import node as node_module ---> 32 from tensorflow.python.keras.engine import training as training_lib 33 from tensorflow.python.keras.engine import training_utils 34 from tensorflow.python.keras.saving.saved_model import network_serialization D:\rujian\pc\lib\site-packages\tensorflow\python\keras\engine\training.py in <module> 52 from tensorflow.python.keras.mixed_precision import loss_scale_optimizer as lso 53 from tensorflow.python.keras.mixed_precision import policy ---> 54 from tensorflow.python.keras.saving import hdf5_format 55 from tensorflow.python.keras.saving import save 56 from tensorflow.python.keras.saving import saving_utils D:\rujian\pc\lib\site-packages\tensorflow\python\keras\saving\hdf5_format.py in <module> 35 # pylint: disable=g-import-not-at-top 36 try: ---> 37 import h5py 38 HDF5_OBJECT_HEADER_LIMIT = 64512 39 except ImportError: D:\rujian\pc\lib\site-packages\h5py\__init__.py in <module> 44 _errors.silence_errors() 45 ---> 46 from ._conv import register_converters as _register_converters 47 _register_converters() 48 h5py\h5t.pxd in init h5py._conv() h5py\h5t.pyx in init h5py.h5t() ~\AppData\Roaming\Python\Python38\site-packages\numpy\__init__.py in __getattr__(attr) 318 return Tester 319 --> 320 raise AttributeError("module {!r} has no attribute " 321 "{!r}".format(__name__, attr)) 322 AttributeError: module 'numpy' has no attribute 'typeDict'
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