ModuleNotFoundError：没有名为“keras.utils.multi_gpu_utils”的模块

Question

我很想在 anaconda Spyder 中执行这段代码

import tensorflow as tf
from tensorflow.python import keras
from keras.models import Model
from keras.models import load_model
from keras.optimizers import Adam
from keras.layers import Input, Conv2D, UpSampling2D, Dropout, LeakyReLU, BatchNormalization, Activation, Lambda
from tensorflow.keras.layers import Concatenate
from keras.applications import VGG16
from keras import backend as K
from keras.utils.multi_gpu_utils import multi_gpu_model  --->error

此代码在此行出错

from keras.utils.multi_gpu_utils import multi_gpu_model

错误是

ModuleNotFoundError：没有名为“keras.utils.multi_gpu_utils”的模块

如何解决这个问题？

我试过了

我运行了安装tensorflow-gpu的命令

pip3 install tensorflow-gpu

但是它在错误之后给出并且执行停止

Collecting tensorflow-gpu
  Using cached tensorflow-gpu-2.12.0.tar.gz (2.6 kB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [39 lines of output]
      Traceback (most recent call last):
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\_vendor\packaging\requirements.py", line 35, in __init__
          parsed = parse_requirement(requirement_string)
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\_vendor\packaging\_parser.py", line 64, in parse_requirement
          return _parse_requirement(Tokenizer(source, rules=DEFAULT_RULES))
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\_vendor\packaging\_parser.py", line 82, in _parse_requirement
          url, specifier, marker = _parse_requirement_details(tokenizer)
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\_vendor\packaging\_parser.py", line 126, in _parse_requirement_details
          marker = _parse_requirement_marker(
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\_vendor\packaging\_parser.py", line 147, in _parse_requirement_marker
          tokenizer.raise_syntax_error(
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\_vendor\packaging\_tokenizer.py", line 163, in raise_syntax_error
          raise ParserSyntaxError(
      setuptools.extern.packaging._tokenizer.ParserSyntaxError: Expected end or semicolon (after name and no valid version specifier)
          python_version>"3.7"
                        ^

      The above exception was the direct cause of the following exception:

      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "C:\Users\hp\AppData\Local\Temp\pip-install-ovwye3d5\tensorflow-gpu_8fc59815d9a64f798e39953c26d47c5b\setup.py", line 40, in <module>
          setuptools.setup()
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\__init__.py", line 106, in setup
          _install_setup_requires(attrs)
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\__init__.py", line 77, in _install_setup_requires
          dist.parse_config_files(ignore_option_errors=True)
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\dist.py", line 910, in parse_config_files
          self._finalize_requires()
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\dist.py", line 607, in _finalize_requires
          self._move_install_requirements_markers()
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\dist.py", line 647, in _move_install_requirements_markers
          inst_reqs = list(_reqs.parse(spec_inst_reqs))
        File "C:\Users\hp\anaconda3\lib\site-packages\setuptools\_vendor\packaging\requirements.py", line 37, in __init__
          raise InvalidRequirement(str(e)) from e
      setuptools.extern.packaging.requirements.InvalidRequirement: Expected end or semicolon (after name and no valid version specifier)
          python_version>"3.7"
                        ^
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

注意：我的电脑没有nvidia GUP但是它radeon GPU

Answer 1

对于第一个错误：

你收到这个错误是因为

multi_gpu_model

被弃用在 Tensorflow 2.x. 中使用

multi_gpu_model api 在 TensorFlow 1.x 版本中使用，并在 TensorFlow 2.x 中替换为

tf.distribute.Strategy

api 以跨多个 GPU、多台机器或 TPU 分布训练。

您可以使用

MirroredStrategy

的分布式训练策略，支持在一台机器上的多个GPU上进行同步分布式训练。它为每个 GPU 设备创建一个副本。

请查看分布式培训链接了解更多详情。

对于第二个错误：

TensorFlow 2.10 是最后一个在 native-Windows 上支持 GPU 的 TensorFlow 版本。因此安装

tensorflow-gpu 2.12

以支持 GPU 在 Winodws 操作系统中将不起作用。