Comments (3)
@yaox12 Thanks for the feedback, publishing a nightly pip package is on our minds as well. It's good to know there would be demand. It also sounds like you did try and build the GPU pip package? Can you share your error message? Maybe I can help unblock you there short term.
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@michaelreneer It is exactly the same error as described in #361.
I have run the TFF tutorial code in Colab (It is editable for convenience).
It works well when the runtime is set to CPU but occurs the above error using GPU.
from federated.
@yaox12 the GPU build is failing right now.
Duplicate of #361
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Related Issues (20)
- Implemented simulation tff code to be distribute from server to clients. HOT 2
- 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
- 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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