Error when using register_data about federatedscope

[rayrayraykk]

Hello!

Thank you for bringing this to our attention. It appears that the tutorial could indeed be slightly outdated. To align with the current state of the codebase, the correct implementation of the function should be like this:

def call_my_data(config, client_config=None):
    pass

Please note that if you encounter any issues while implementing the function, feel free to ask for further clarification.
Additionally, if you come across any other content in the tutorials that seems out of date, do let us know so that we can update the information accordingly.

Thank you for your contribution!

[stupidhhh]

Thank you for bringing this to our attention. It appears that the tutorial could indeed be slightly outdated. To align with the current state of the codebase, the correct implementation of the function should be like this:

Thank you for your answer, but I have a new problem after changing the code, the new problem is as follows:

The complete code is below:

from torchvision.datasets import MNIST
from torchvision.transforms import transforms

from federatedscope.core.data import BaseDataTranslator
from federatedscope.register import register_data


def load_my_data(config, client_cfgs=None):
    transform = transforms.Compose([
        transforms.ToTensor(),
        transforms.Normalize(mean=[0.1307], std=[0.3081])
    ])
    data_train = MNIST(root='data', train=True, transform=transform, download=True)
    data_test = MNIST(root='data', train=False, transform=transform, download=True)
    translator = BaseDataTranslator(config, client_cfgs)
    fs_data = translator([data_train, [], data_test])
    return fs_data, config


def call_my_data(config, client_config=None):
    pass


register_data("mydata", call_my_data)

I changed the value of data.type in the scripts.example_configs.femnist.yaml file to mydata and ran federatedscope.main.py with this config file.

[rayrayraykk]

The pass in my past answer is code omitted for brevity, and you should implement it like this:

# ... [code omitted for brevity]

def call_my_data(config, client_config=None):
     if config.data.type == "mydata":
         data, modified_config = load_my_data(config)
         return data, modified_config

# ... [code omitted for brevity]