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The library doesn't work well with TensorFlow or Keras or with any package that can import TensorFlow into a common namespace. The reason is because of protobufs that are used in this library that are common with tensorflow.
The way the solution to this is implemented to get around this was to default to the TensorFlow's implementation if available otherwise use the internal implementation.
However, it's not currently possible to programmatically force the TensorFlow backend.
The text was updated successfully, but these errors were encountered:
The library doesn't work well with TensorFlow or Keras or with any package that can import TensorFlow into a common namespace. The reason is because of protobufs that are used in this library that are common with tensorflow.
The way the solution to this is implemented to get around this was to default to the TensorFlow's implementation if available otherwise use the internal implementation.
However, it's not currently possible to programmatically force the TensorFlow backend.
The text was updated successfully, but these errors were encountered: