Comments (6)
@jpgard Thanks for the feedback. The pip package has not been published yet, so you will need to follow the instructions for installing from source. Sorry I forgot to mention that.
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Makes sense, I should have thought about that when posting.
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@michaelreneer I assume the same applies to the tensorflow_federated docker container?
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@jpgard yeah I am changing that now :).
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Has the docker issue been solved
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@Drkingman We have not published a Docker image yet. See these instructions for how build a TFF docker image.
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Related Issues (20)
- Can tensorflow-federated be installed at windows ? HOT 1
- ValueError: Serialized size of Dataset (459161045 bytes) exceeds maximum allowed (104857600 bytes)
- Website Missing FAQ Under Resources HOT 1
- Documentation Issue - from_keras_model function HOT 3
- Documentation Issue - GCP Setup HOT 1
- AttributeError: module 'tensorflow_federated.python.simulation' has no attribute 'ClientData' HOT 3
- Compatibility Table Missing
- What is the refactored name of `federated_output_computation`? HOT 5
- details = "`TensorFlowExecutor::CreateValue` can only create values for TensorFlow computations and intrinsics. Found computation of type 4" HOT 4
- 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
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- Installation failed HOT 10
- Facing error in "Learning Attribute" Please Help. HOT 2
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