ImportError: cannot import name ‘keras_tensor‘ from ‘tensorflow.python.keras.engine‘

最新推荐文章于 2025-02-26 00:01:30 发布

原创最新推荐文章于 2025-02-26 00:01:30 发布 · 5.8k 阅读

12 ·

CC 4.0 BY-SA版权

文章标签：

#python

错误集合专栏收录该内容

2 篇文章

订阅专栏

遇到ImportError: cannot import name 'keras_tensor' from 'tensorflow.python.keras.engine'的错误？这通常是因为TensorFlow、TensorFlow-Addons和Python之间的版本不兼容。修复此问题，你需要确保安装的TensorFlow、TensorFlow-Addons和Python版本相互匹配。按照官方推荐的版本进行安装，例如安装TensorFlow 2.x和对应兼容的tensorflow-addons版本，可以有效解决此类问题。

部署运行你感兴趣的模型镜像

问题：

import tensorflow_addons as tfa

ImportError: cannot import name 'keras_tensor' from 'tensorflow.python.keras.engine'

解决方法：

这是TensorFlow, Python and tensorflow-addons版本不匹配引起的

按照以下安装相应版本：

您可能感兴趣的与本文相关的镜像

Python3.9

Conda

Python

Python 是一种高级、解释型、通用的编程语言，以其简洁易读的语法而闻名，适用于广泛的应用，包括Web开发、数据分析、人工智能和自动化脚本

确定要放弃本次机会？

福利倒计时

: :

立减 ¥

普通VIP年卡可用

立即使用

bobbykey

关注关注

7
点赞
踩
12

收藏

觉得还不错? 一键收藏
1
评论
分享

复制链接

分享到 QQ

分享到新浪微博

扫一扫
举报

举报

专栏目录

python报错：ImportError: cannot import name ‘_tf_stack‘ from ‘tensorflow.python‘

Echo_Wish

10-20

6679

ImportError: cannot import name ‘_tf_stack’ from ‘tensorflow.python’ 本来keras和tensorflow用得好好的，忽然今天报错导入包得时候直接报错。在网上找了很多方法，但是用处都不大，尝试了很多遍都不行。于是尝试将tensorflow和keras卸载重装。（需要彻底卸载，pip命令后还需要删除文件夹中得几个文件夹），然后在之前得tensorflow得版本提高一些，keras得版本降低一些。（我原本是tensorflow1.13和kera

keras无法在Anaconda环境(tensorflow)的ipython中正常import问题

haiyonghao的博客

05-27

3563

该问题处理之前的状态：环境：Ubuntu16.04 + Anaconda + tensorflow1.6(使用python3.6) 状态展示在ipython中执行完import keras之后，出现“no moudle named keras” 处理方法 1、安装ipykernel conda install ipykernel 2、找到ipython的启...

1 条评论您还未登录，请先登录后发表或查看评论

importerror系列

chunxiao_的博客

10-03

785

1.cannot import name 'keras_tensor' from'tensorflow.python.keras.engine' import tensorflow_addons as tfa ImportError: cannot import name 'keras_tensor' from 'tensorflow.python.keras.engine' 出错原因：TensorFlow、Python、tensorflow_addons版本不匹配，以下是tensorflow_a

ImportError: cannot import name ‘keras_tensor‘ from ‘tensorflow.python.keras.engine

weixin_42110324的博客

10-09

2030

@ImportError: cannot import name ‘keras_tensor’ from 'tensorflow.python.keras.engine’TOC 解决方法：python、tensorflow 、tensorflw_addons版本不兼容。卸载tensorflw_addons，安装适合版本，匹配的版本连接见博客https://blog.csdn.net/HenryFanQAQ/article/details/114919343 ...

ImportError Traceback (most recent call last) File D:\anaconda3\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py:73 72 try: ---> 73 from tensorflow.python._pywrap_tensorflow_internal import * 74 # This try catch logic is because there is no bazel equivalent for py_extension. 75 # Externally in opensource we must enable exceptions to load the shared object 76 # by exposing the PyInit symbols with pybind. This error will only be 77 # caught internally or if someone changes the name of the target _pywrap_tensorflow_internal. 78 79 # This logic is used in other internal projects using py_extension. ImportError: DLL load failed while importing _pywrap_tensorflow_internal: 动态链接库(DLL)初始化例程失败。 During handling of the above exception, another exception occurred: ImportError Traceback (most recent call last) Cell In[12], line 5 3 import numpy as np 4 import pandas as pd ----> 5 from keras.models import Sequential, load_model 6 from tensorflow.keras import utils 7 from keras.preprocessing.sequence import pad_sequences File ~\AppData\Roaming\Python\Python311\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 ~\AppData\Roaming\Python\Python311\site-packages\keras\_tf_keras\__init__.py:1 ----> 1 from keras._tf_keras import keras File ~\AppData\Roaming\Python\Python311\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 ~\AppData\Roaming\Python\Python311\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 ~\AppData\Roaming\Python\Python311\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 ~\AppData\Roaming\Python\Python311\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 ~\AppData\Roaming\Python\Python311\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 ~\AppData\Roaming\Python\Python311\site-packages\keras\src\backend\__init__.py:1 ----> 1 from keras.src.backend.config import backend 3 if backend() == "torch": 4 # When using the torch backend, 5 # torch needs to be imported first, otherwise it will segfault 6 # upon import. 7 import torch File ~\AppData\Roaming\Python\Python311\site-packages\keras\src\backend\config.py:448 445 else: 446 _NNX_ENABLED = False --> 448 set_nnx_enabled(_NNX_ENABLED) File ~\AppData\Roaming\Python\Python311\site-packages\keras\src\backend\config.py:249, in set_nnx_enabled(value) 247 def set_nnx_enabled(value): 248 global _NNX_ENABLED --> 249 from keras.src.backend.common import global_state 251 _NNX_ENABLED = bool(value) 252 if _NNX_ENABLED: File ~\AppData\Roaming\Python\Python311\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 ~\AppData\Roaming\Python\Python311\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 ~\AppData\Roaming\Python\Python311\site-packages\keras\src\backend\common\variables.py:12 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: 16 """Represents a backend-agnostic variable in Keras. 17 18 A `Variable` acts as a container for state. It holds a tensor value and can (...) 89 ``` 90 """ File ~\AppData\Roaming\Python\Python311\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 ~\AppData\Roaming\Python\Python311\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 ~\AppData\Roaming\Python\Python311\site-packages\keras\src\utils\dataset_utils.py:10 7 import numpy as np 9 from keras.src import backend ---> 10 from keras.src import tree 11 from keras.src.api_export import keras_export 12 from keras.src.utils import file_utils File ~\AppData\Roaming\Python\Python311\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 ~\AppData\Roaming\Python\Python311\site-packages\keras\src\tree\tree_api.py:13 11 from keras.src.tree import torchtree_impl as tree_impl 12 elif optree.available: ---> 13 from keras.src.tree import optree_impl as tree_impl 14 elif dmtree.available: 15 from keras.src.tree import dmtree_impl as tree_impl File ~\AppData\Roaming\Python\Python311\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 D:\anaconda3\Lib\site-packages\tensorflow\python\trackable\data_structures.py:26 22 except ImportError: 23 # Fall back to the build-time dependency if the system package is not available. 24 from .....third_party import wrapt # pylint: disable=relative-beyond-top-level ---> 26 from tensorflow.python.eager import def_function 27 from tensorflow.python.eager import function as defun 28 from tensorflow.python.ops import variables File D:\anaconda3\Lib\site-packages\tensorflow\python\eager\def_function.py:24 21 from tensorflow.python.eager.polymorphic_function.eager_function_run import functions_run_eagerly 23 # tf.function Classes ---> 24 from tensorflow.python.eager.polymorphic_function.polymorphic_function import Function 25 from tensorflow.python.eager.polymorphic_function.polymorphic_function import function 27 # Private attributes File D:\anaconda3\Lib\site-packages\tensorflow\python\eager\polymorphic_function\polymorphic_function.py:74 72 from google.protobuf.message import DecodeError 73 from tensorflow.core.framework import attr_value_pb2 ---> 74 from tensorflow.core.function import trace_type 75 from tensorflow.core.function.capture import capture_container 76 from tensorflow.core.function.polymorphism import function_cache File D:\anaconda3\Lib\site-packages\tensorflow\core\function\trace_type\__init__.py:28 1 # Copyright 2021 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); (...) 13 # limitations under the License. 14 # ============================================================================== 15 """Trace-time type system for tf.function (TraceType). 16 17 Trace-time types describe things like tf.function signatures and type (...) 25 Other implementations of TraceType include tf.TypeSpec and its subclasses. 26 """ ---> 28 from tensorflow.core.function.trace_type.default_types import register_tensor_type 29 from tensorflow.core.function.trace_type.default_types import Weakref 30 from tensorflow.core.function.trace_type.serialization import deserialize File D:\anaconda3\Lib\site-packages\tensorflow\core\function\trace_type\default_types.py:26 24 from tensorflow.core.function.trace_type import serialization 25 from tensorflow.core.function.trace_type import util ---> 26 from tensorflow.python.types import trace 28 # Register the TraceType of Tensor (aka TensorSpec) to avoid cyclic dependency. 29 TENSOR = None File D:\anaconda3\Lib\site-packages\tensorflow\python\types\trace.py:34 31 from typing_extensions import Protocol 32 from typing_extensions import runtime_checkable ---> 34 from tensorflow.python.types import core 35 from tensorflow.python.util.tf_export import tf_export 36 from tensorflow.tools.docs import doc_controls File D:\anaconda3\Lib\site-packages\tensorflow\python\types\core.py:28 23 import numpy as np 25 from tensorflow.python.types import doc_typealias ---> 28 from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import, g-bad-import-order 29 from tensorflow.python.util.tf_export import tf_export 31 # pylint:disable=g-import-not-at-top File D:\anaconda3\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py:88 86 sys.setdlopenflags(_default_dlopen_flags) 87 except ImportError: ---> 88 raise ImportError( 89 f'{traceback.format_exc()}' 90 f'\n\nFailed to load the native TensorFlow runtime.\n' 91 f'See https://www.tensorflow.org/install/errors ' 92 f'for some common causes and solutions.\n' 93 f'If you need help, create an issue ' 94 f'at https://github.com/tensorflow/tensorflow/issues ' 95 f'and include the entire stack trace above this error message.') ImportError: Traceback (most recent call last): File "D:\anaconda3\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 73, in <module> from tensorflow.python._pywrap_tensorflow_internal import * ImportError: DLL load failed while importing _pywrap_tensorflow_internal: 动态链接库(DLL)初始化例程失败。 Failed to load the native TensorFlow runtime. See https://www.tensorflow.org/install/errors for some common causes and solutions. If you need help, create an issue at https://github.com/tensorflow/tensorflow/issues and include the entire stack trace above this error message.

10-29

`ImportError: DLL load failed while ...from keras.layers import LSTM, Dense, Embedding, Dropout from sklearn.model_selection import train_test_split # 假设这里有数据处理和模型训练的代码 # ... ```

ImportError: cannot import name 'conv_utils' from 'tensorflow.keras.utils' (F:\CONDA\envs\DE\lib\site-packages\keras\api\_v2\keras\utils\__init__.py)

最新发布

12-08

我们遇到的问题是：在运行代码时出现了 `ImportError: cannot import name 'conv_utils' from 'keras.utils'`。根据引用[2][4]中的信息，这个问题可能是由于Keras版本更新导致`conv_utils`的位置发生了变化。在...

--------------------------------------------------------------------------- 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'

10-24

from tensorflow.keras.datasets import mnist import numpy as np # 手动下载数据集（避免自动加载时的兼容问题） path = "/path/to/mnist.npz" # 从官网下载 with np.load(path) as data: x_train = data['x_...

cannot import name ‘keras_tensor‘ from ‘tensorflow.python.keras.engine‘

星空下

11-30

5109

问题原因：深度学习tensorflow-gpu安装版本与tensorflow-addons 解决方案：深度学习经常会使用tensorfow-gpu，但是它的安装确实有点麻烦，但是也有比较方便的方法，首先安装显卡驱动，网上很多，然后安装anaconda，anaconda 的版本与python版本可以查看这笔文章： https://blog.csdn.net/qq_28531269/article/details/121628170 安装tensorflow-gpu命令： conda install -c a

tensorflow与keras不兼容 ImportError: cannot import name ‘keras‘ from ‘tensorflow‘

m0_73941743的博客

02-26

2328

检查你当前 Python 环境中安装了哪些包，特别是 TensorFlow。显示2.11 tensorflow,还是不行，显示python3.7版本不对应（不懂？tensorflow1.x 与keras独立，2.x包含keras,不用另外安装keras。版本（对于 macOS 来说，则需要高于 20.3 的 pip 版本）。TensorFlow 2 软件包需要使用高于 19.0 的。查阅tensorflow官网：（需要挂梯子）

Cannot Import Keras from Tensorflow library in Python

只有十分努力，才能看起来毫不费力

06-14

521

mac环境下，用在Pycharm中输入以下语句，报错 import tensorflow from tensorflow import keras 单独输入import tensorflow是没有问题的。但是我发现，我在terminal下使用输入以上语句是可以的。灵机一动，我把pycharm当前项目所用的解释器换成了和terminal一样的，问题解决了！！！问题原因：keras不支持当前的python版本，导致读取不到。 ...

【win10 tensorflow】ImportError: cannot import name ‘keras_export‘