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  2. github.com/tensorflow/tensorflow

    README.md 

    *   [TensorFlow Blog](https://blog.tensorflow.org)
*   [Learn ML with TensorFlow](https://www.tensorflow.org/resources/learn-ml)
*   [TensorFlow Twitter](https://twitter.com/tensorflow)
*   [TensorFlow YouTube](https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ)
*   [TensorFlow model optimization roadmap](https://www.tensorflow.org/model_optimization/guide/roadmap)
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  3. github.com/tensorflow/tensorflow

    RELEASE.md 

            XLA header+object files and include them in your C++ programs.
    *   Enable `Igamma`, `Igammac` for XLA.
*   Deterministic Op Functionality:
    *   XLA reduction emitter is deterministic when the environment variable
        `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends
        deterministic `tf.nn.bias_add` back-prop functionality (and therefore
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    - Registered: Tue Apr 23 12:39:09 GMT 2024
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