Hi all,
I am new in tensor flow federated learning,
Found one dependency error while executing tff code in python. it seems like dependency issue.
tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
Traceback (most recent call last):
File “/home/khamrunnusa/Downloads/Implementation/fl2.py”, line 27, in
train_data = tff.simulation.datasets.ClientData.from_clients_and_fn(
File “/home/khamrunnusa/anaconda3/lib/python3.9/site-packages/tensorflow_federated/python/simulation/datasets/client_data.py”, line 186, in from_clients_and_fn
return ConcreteClientData(client_ids, create_tf_dataset_for_client_fn)
File “/home/khamrunnusa/anaconda3/lib/python3.9/site-packages/tensorflow_federated/python/simulation/datasets/client_data.py”, line 338, in init
if not client_ids:
File “/home/khamrunnusa/anaconda3/lib/python3.9/site-packages/pandas/core/generic.py”, line 1537, in nonzero
raise ValueError(
ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
What is your TFF and Tensorflow version?