Comments (1)
Hi @zcharles8, I wanted to fix this bug; but there is already one PR open waiting to be merged as you know. Could you please suggest an idea can I re-pull branch code and fix two issues in one PR?
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Related Issues (20)
- LearningProcess Compatibility Error HOT 2
- An error went when I ran pip install --upgrade tensorflow-federated HOT 2
- AttributeError: module 'tensorflow._api.v2.nest' has no attribute 'map_struture' 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 2
- perform cross-silo federated learning by TFF HOT 2
- Installtion failed HOT 5
- Keras 3 and TF 16.1 support HOT 13
- Issue with TensorFlow Federated Execution in Remote Environments HOT 10
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