Comments (2)
Can you fill out the bug template info? In particular, from the stack trace it looks like you might be on Windows. Unfortuantely, TFF does not work on Windows currently.
Additionally, is this failure only recently? Eg. were you able to do pip install --upgrade
successfully last week?
from federated.
Can you fill out the bug template info? In particular, from the stack trace it looks like you might be on Windows. Unfortuantely, TFF does not work on Windows currently.
Additionally, is this failure only recently? Eg. were you able to do
pip install --upgrade
successfully last week?
Thank you, I solved the problem using Anaconda
from federated.
Related Issues (20)
- Implemented simulation tff code to be distribute from server to clients. HOT 2
- LearningProcess Compatibility Error HOT 2
- AttributeError: module 'tensorflow._api.v2.nest' has no attribute 'map_struture' HOT 1
- Documentation Issue - build_fed_kmeans HOT 1
- Error installing Tensorflow Federated with Python 3.9 HOT 4
- OperatorNotAllowedInGraphError Traceback (most recent call last)
- TFF using model resnet,the val accuracy has always been a result of random guessing
- AttributeError: module 'numpy' has no attribute '_no_nep50_warning' when importing TensorFlow Federated HOT 6
- Installation failed HOT 10
- Facing error in "Learning Attribute" Please Help. HOT 2
- tff.federated_computation(lambda: 'Hello World!')() stuck/hanging HOT 6
- Stuck at learning_process.initialize() and tff.federated_computation(lambda: 'Hello, World!')() HOT 1
- Security policy for tensorflow federated?
- Colab stuck at learning_process.initialize() HOT 14
- Exploding memory while training federated model on FLAIR Dataset HOT 3
- No GPU utilization when using the cpp execution context HOT 1
- perform cross-silo federated learning by TFF HOT 2
- Installtion failed HOT 5
- Keras 3 and TF 16.1 support HOT 13
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