我是机器学习的新手,正在尝试Tensorflow (https://www.tensorflow.org/federated/tutorials/federated_learning_for_image_classification)的“图像分类的联合学习”代码。我在Google Colab上运行了代码,没有修改任何东西。
#@test {"skip": true}
# tensorflow_federated_nightly also bring in tf_nightly, which
# can causes a duplicate tensorboard install, leading to errors.
!pip uninstall --yes tensorboard tb-nightly
!pip install --quiet --upgrade tensorflow-federated-nightly
!pip install --quiet --upgrade nest-asyncio
!pip install --quiet --upgrade tb-nightly # or tensorboard, but not both
import nest_asyncio
nest_asyncio.apply()
%load_ext tensorboard上面的方法效果很好。(没有错误)但当涉及到以下内容时:
import collections
import numpy as np
import tensorflow as tf
import tensorflow_federated as tff
np.random.seed(0)
tff.federated_computation(lambda: 'Hello, World!')()我在import tensorflow_federated as tff行上得到了一个错误:
AttributeError: module 'tensorflow_privacy' has no attribute 'DPQuery'我已经搜索过像pip install -U TensorFlow-privacy这样的解决方案,但没有一个有效。
请帮帮忙。提前感谢!
发布于 2021-08-07 12:15:56
不是你的问题的解决方案,但是除了tff优化器,没有其他教程需要tff,所以你可以只使用稳定的tff版本。
!pip install --quiet --upgrade tensorflow-federated
!pip install --quiet --upgrade nest-asyncio
import nest_asyncio
nest_asyncio.apply()这个应该安装tff 0.19
https://stackoverflow.com/questions/68691256
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