and
    [GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile)
    for the required packages. Alternatively, use the said
    [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build)
    (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no
    longer supported for) development. Use TF SIG Build Dockerfiles in

    }
    if (TF_PREDICT_FALSE(aid == nullptr)) {
      return tensorflow::errors::Internal(
          "Failed to create ones tensor for tensor ", output_tensor.GetID(),
          " with dtype ", output_tensor.GetDType());
    }
    forwardprop_aids.push_back(aid);
    int64_t aid_id = vspace_.TensorId(aid);
    sources.push_back(aid_id);
    sources_set.insert(aid_id);

    *   Deprecated `Interpreter::SetNumThreads`, in favor of
        `InterpreterBuilder::SetNumThreads`.

*   `tf.keras`:

    *   Adds `tf.compat.v1.keras.utils.get_or_create_layer` to aid migration to
        TF2 by enabling tracking of nested keras models created in TF1-style,
        when used with the `tf.compat.v1.keras.utils.track_tf1_style_variables`
        decorator.