ImportError: cannot import name ‘export_saved_model‘ from ‘tensorflow.python.keras.saving.saved_mode

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 · 1.3w 阅读 · 35 ·
CC 4.0 BY-SA版权
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。
文章标签：

#tensorflow #anaconda #python #深度学习

本文介绍了解决在M1芯片MacBook Pro上使用TensorFlow与Keras时出现的版本兼容性问题的方法。主要原因是Keras版本过高且Python版本为3.7导致的错误。文章提供了一个具体解决方案，包括创建新的Anaconda环境、安装指定版本的TensorFlow和Keras等步骤。
部署运行你感兴趣的模型镜像

项目场景：

在尝试搭建深度学习环境的时候遭遇这个问题。 M1芯片的MacBookPro环境

问题描述：

在搭建好了anaconda环境并且已经安装好了tensorflow，在pycharm运行程序的时候出现了这个问题。
错误展示：

/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:516: 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)])
/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:517: 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)])
/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:518: 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)])
/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:519: 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)])
/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:520: 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)])
/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:525: 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)])
Traceback (most recent call last):
  File "/Users/lizhihan/Downloads/毕业设计/Deep-Reinforcement-Learning-for-5G-Networks-master/test_environment/test_gpu_or_cpu.py", line 2, in <module>
    from tensorflow.python.client import device_lib
  File "/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/__init__.py", line 34, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/__init__.py", line 83, in <module>
    from tensorflow.python import keras
  File "/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/keras/__init__.py", line 26, in <module>
    from tensorflow.python.keras import activations
  File "/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/keras/activations.py", line 24, in <module>
    from tensorflow.python.keras.utils.generic_utils import deserialize_keras_object
  File "/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/keras/utils/__init__.py", line 39, in <module>
    from tensorflow.python.keras.utils.multi_gpu_utils import multi_gpu_model
  File "/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/keras/utils/multi_gpu_utils.py", line 22, in <module>
    from tensorflow.python.keras.engine.training import Model
  File "/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/keras/engine/training.py", line 40, in <module>
    from tensorflow.python.keras.engine import network
  File "/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/keras/engine/network.py", line 39, in <module>
    from tensorflow.python.keras import saving
  File "/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/keras/saving/__init__.py", line 33, in <module>
    from tensorflow.python.keras.saving.saved_model import export_saved_model
ImportError: cannot import name 'export_saved_model' from 'tensorflow.python.keras.saving.saved_model' (/Users/lizhihan/coding/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/keras/saving/saved_model/__init__.py)

在这里插入图片描述

原因分析：

因为我是使用了keras库的，但是我的keras库是通过pycharm直接安装的最新版，除此之外我在这个anaconda环境中使用的python版本是3.7，所以出现了版本不兼容的问题。对应下面的版本，进行重新配置环境，就可以解决了。

解决方案：

对应下面的版本，进行重新配置环境，就可以解决了。

在这里插入图片描述
在这里插入图片描述

在这里插入图片描述

举例来说，我要配置1.14版本的tensorflow在终端输入

//按顺序输入：
conda create -n tensorflow python=3.6

source activate tensorflow

pip install tensorflow==1.14
pip install Keras==2.2.5

然后再在pycharm中重新加载这个新建的环境就可以了

这里补充速度过慢的问题解决方法

pip install keras -i http://pypi.douban.com/simple --trusted-host pypi.douban.com

您可能感兴趣的与本文相关的镜像

Python3.9

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

Foools
关注
python报错：ImportError: cannot import name ‘_tf_stack‘ from ‘tensorflow.python‘
Echo_Wish
10-20 6676
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
export_savedmodel
u013385018的专栏
07-27 594
TensorFlow Estimator 模型从训练到部署 https://mp.weixin.qq.com/s/ZNs0eEOCSR-0HOd5lM3ekg
吴恩达深度学习编程题——0402(Keras-Tutorial-Happy House )遇到问题及解决方法
weix1235的博客
10-04 1167
1.引用模块问题 ImportError: cannot import name 'plot_model' from 'keras.utils' 解决方法： 确定路径命名没有问题，发现是版本更新后的问题，应使用新的引用方式： from keras.utils.vis_utils import plot_model 成功引用！ 2.使用Keras构建模型 先使用推荐的模型架构，完成练习之后可以尝试使用新的架构，以及按照自己的喜好去修改超参。 注意：数据的类型 步骤： a.创建模型 b.编译模型 c.训练模
Tensorflow问题 ImportError: cannot import name ‘trace‘ from ‘tensorflow.python.profiler‘
xiaoqiaoliushuiCC的博客
03-07 8775
报错 Traceback (most recent call last): File "E:\python\process\rotateflip.py", line 35, in <module> from object_detection import model_lib_v2 File "D:\Anaconda3-4.3.0.1\envs\tmp\Lib\site-packages\object_detection\model_lib_v2.py", line 29, in
Import Error: cannot import name ‘export_saved_model
weixin_36670529的博客
03-28 7686
Using TensorFlow backend. D:\Anaconda install\lib\site-packages\tensorflow\python\framework\dtypes.py:516: 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,)) .
import error: cannot import name ‘‘export_saved_model“ from tensorflow
land_cruiser的博客
05-15 623
查看安装的 tensorflow 版本为 1.1.4，而 python 为 3.7.1。此外，如果有 futurewarning: passing(type,1) 的warning，则需要修改对应位置处的。使用 anaconda 在 python3.7.1 的环境中安装 tensorflow后，运行报错。该问题出现在 tensorflow 版本和 python 的版本不匹配。先在CMD窗口中将当前 tensorflow 卸载，然后再安装。将 1 修改为 (1,)，修改完毕的如下图所示。
ImportError: cannot import name 'export_saved_model' from 'tensorflow.python.keras.saving.saved_model'
04-03
This error occurs when the `export_saved_model` function cannot be imported from the `tensorflow.python.keras.saving.saved_model` module. This could be due to an outdated version of TensorFlow or an ...
AttributeError Traceback (most recent call last) <ipython-input-8-8f7733e9c222> in <module> ----> 1 import tensorflow as tf 2 import matplotlib.pyplot as plt 3 import numpy as np F:\Anaconda\lib\site-packages\tensorflow\__init__.py in <module> 36 import typing as _typing 37 ---> 38 from tensorflow.python.tools import module_util as _module_util 39 from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader 40 F:\Anaconda\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 F:\Anaconda\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 * F:\Anaconda\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 array_ops_stack F:\Anaconda\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 F:\Anaconda\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 F:\Anaconda\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 F:\Anaconda\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 F:\Anaconda\lib\site-packages\tensorflow\python\keras\engine\training.py in <module> 51 from tensorflow.python.keras.mixed_precision import loss_scale_optimizer as lso 52 from tensorflow.python.keras.mixed_precision import policy ---> 53 from tensorflow.python.keras.saving import hdf5_format 54 from tensorflow.python.keras.saving import save 55 from tensorflow.python.keras.saving import saving_utils F:\Anaconda\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: F:\Anaconda\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() F:\Anaconda\lib\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'
最新发布
11-20
2. 测试导入tensorflow：`python -c "import tensorflow as tf; print(tf.__version__)"` 3. 如果第2步报错，尝试重新安装tensorflow：`pip install --force-reinstall tensorflow==2.10.0`（这里以2.10.0为例，因为...
ImportError: cannot import name 'saved_models' from 'tensorflow' (unknown location)
05-01
这个错误可能是因为你尝试从TensorFlow中导入“saved_models”，但是TensorFlow...model = tf.keras.models.load_model('path/to/saved/model') ``` 请注意，您需要将“path/to/saved/model”替换为您实际的模型路径。
--------------------------------------------------------------------------- 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_...
tf.estimator.export_saved_model保存模型
allan2222的博客
11-26 6256
之前使用tensorflow框架做学术研究时多是生成ckpt文件，但是实际工作中，模型上线部署常用 SavedModel 保存模型，生成的模型是封闭的序列化格式，它具有语言独立性，可独立运行，并且可以简单被其他语言（python，java等）调用，SavedModel 格式是tf 2.0 推荐的格式，支持tf-serving部署，部署时很方便。好了介绍了这么多，就是希望告诉大家使用tf框架时最好直接存储成PB文件，方便之后使用。 SavedModel 我们首先看下SavedModel中都包含了什么
Python ImportError:cannot import **
Wqxleo
07-23 460
如果导入的是一个自建.py文件的话，很可能是文件名冲突，自建文件名跟python里已有的包名重复了，改个文件名解决。
Tensorboard estimator export_savedmodel简单用法
eunicechen的博客
12-12 4159
# add export graph def serving_input_fn(): input_ids = tf.placeholder(dtype=tf.int32, shape=[None, FLAGS.max_seq_length], name="input_ids") input_mask = tf.placeholder(dtype=tf.int32, shape=[...
【win10 tensorflow】ImportError: cannot import name ‘keras_export‘
热门推荐
深度匹配树的博客
10-21 1万+
【环境】 win10Anaconda3-5.2.0 python3.6.5 【问题】 本来电脑上tf一直是1.12.0，前几天新建虚拟环境装了2.3.1 但可能是cmd pip安装时使用了管理员权限或者--user等原因，导致base和tf2这两个虚拟环境里的tf版本是一样的 今天又突然遇到bug： import tensorflow时报错： ImportError: cannot import name 'keras_export' 【尝试1 失败】 卸载tf2.3.1、重装tf1.12..
解决tensorflow.keras错误ImportError: `save_model` requires h5py
豆芽菜
04-03 6520
使用tensorflow.keras中的save_model时，发生错误 ImportError: `save_model` requires h5py 追踪了下是因为h5py无法导入，cmd里测试可以导入，但是在python IDE里失败，错误为： ImportError: DLL load failed: The specified module could not be found...
keras中的模型保存和加载
10-14 497
tensorflow中的模型常常是protobuf格式，这种格式既可以是二进制也可以是文本。keras模型保存和加载与tensorflow不同，keras中的模型保存和加载往往是保存成hdf5格式。 keras的模型保存分为多种情况。 一、不保存模型只显示大概结构 model.summary() 这个函数会打印模型结构，但是仅仅是打印到控制台。 keras.utils.plot_mod...
tensorflow与keras不兼容 ImportError: cannot import name ‘keras‘ from ‘tensorflow‘
m0_73941743的博客
02-26 2286
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 name keras_export
Lxg101015的博客
07-31 3181
cannot import name keras_export
pip升级后Import Error:cannot import name main解决方案
清风与归
03-31 364
参考链接：https://blog.csdn.net/zong596568821xp/article/details/80410416
评论 7
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
表情包 代码片
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值