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  2. github.com/tensorflow/tensorflow

    .github/bot_config.yml 

             * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.
         * All you need is a good internet connection and you are all set.
      * Try to build TF from sources by changing CPU optimization flags.
   
   *Please let us know if this helps.*
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Mon Jun 30 16:38:59 GMT 2025
    - 4K bytes
    - Click Count (1)
  3. github.com/tensorflow/tensorflow

    tensorflow/BUILD 

            "//learning/pathways/...",
        "//learning/serving/contrib/tfrt/mlir/canonical_ops/...",
        "//learning/serving/experimental/remote_predict/...",
        "//perftools/accelerators/xprof/convert/...",
        "//perftools/accelerators/xprof/integration_tests/...",
        "//smartass/brain/...",
        "//tensorflow/...",
        "//tensorflow_decision_forests/...",
        "//tensorflow_federated/...",
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Tue Mar 24 21:00:18 GMT 2026
    - 53.1K bytes
    - Click Count (0)
  4. github.com/tensorflow/tensorflow

    RELEASE.md 

            `StatefulNnApiDelegate::Options::max_number_delegated_partitions` to 3.
    *   Add capability to disable `NNAPI` CPU and check `NNAPI` Errno.
    *   Fix crashes when using `NNAPI` with target accelerator specified with
        model containing Conv2d or FullyConnected or LSTM nodes with quantized
        weights.
    *   Fix `ANEURALNETWORKS_BAD_DATA` execution failures with
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Mon Mar 30 18:31:38 GMT 2026
    - 746.5K bytes
    - Click Count (3)
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