```python import tensorflow_federated as tff # 列出tff.learning中的所有属性和方法 print(dir(tff.learning.algorithms.build_weighted_fed_avg)) ```

vjhs03f7  于 23天前  发布在  Python
关注(0)|答案(1)|浏览(28)

AttributeError Traceback (most recent call last)
在<cell line: 56>()
54
55 # Create a federated averaging process
---> 56 iterative_process = tff.learning.build_federated_averaging_process(
57 model_fn=model_fn,
58 client_optimizer_fn=lambda: tf.keras.optimizers.SGD(learning_rate=0.01),
错误信息:模块'tensorflow_federated.python.learning'没有属性'build_federated_averaging_process'

kse8i1jr

kse8i1jr1#

看起来这个问题与TensorFlow_Federated有关,而不是与tensorflow有关。请检查相关仓库。此外,该仓库中还有一个打开的PR,用于删除tf.keras.optimizers.Optimizertff.learning.algorithms中的支持,这可能是导致相应错误的原因。
google-parfait/tensorflow-federated#4866
谢谢!

相关问题