问题描述
我使用 tff.simulation.FromTensorSlicesClientData(client_train_dataset)
使用稳定版本的 tff 创建客户端数据,并且运行良好.我不得不切换到 tff-nightly,现在调用它会给我一个错误:
I was using tff.simulation.FromTensorSlicesClientData(client_train_dataset)
to create client's data with the stable version of tff, and it was working fine. I had to switch to tff-nightly, and now calling this gives me an error:
AttributeError: module 'tensorflow_federated.python.simulation' has no attribute 'FromTensorSlicesClientData'
这是我的代码中抛出错误的部分:
Here's the section of my code, where the error is thrown:
total_clients = 3
total_samples = len(x_train)
samples_per_set = int(np.floor(total_samples/total_clients))
client_train_dataset = collections.OrderedDict()
for i in range(1, total_clients+1):
client_name = "client_" + str(i)
start = samples_per_set * (i-1)
end = samples_per_set * i
data = collections.OrderedDict((('y', y_train[start:end]), ('x', x_train[start:end])))
client_train_dataset[client_name] = data
train_dataset = tff.simulation.FromTensorSlicesClientData(client_train_dataset)
我应该换一种方式吗?
推荐答案
tff.simulation.TensorSlicesClientData
更名为 tff.simulation.datasets.TestClientData
在提交 #1def433.这已经包含在每晚发布的版本中,并将包含在下一个编号版本中.
tff.simulation.TensorSlicesClientData
was renamed to tff.simulation.datasets.TestClientData
in commit #1def433. This included in the nightly release already and will be included in the next numbered release.
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