Arg<TF_NumberTensor, [{Must be a scalar.}]>:$beta1_power,
    Arg<TF_NumberTensor, [{Must be a scalar.}]>:$beta2_power,
    Arg<TF_NumberTensor, [{Scaling factor. Must be a scalar.}]>:$lr,
    Arg<TF_NumberTensor, [{Momentum factor. Must be a scalar.}]>:$beta1,
    Arg<TF_NumberTensor, [{Momentum factor. Must be a scalar.}]>:$beta2,
    Arg<TF_NumberTensor, [{Ridge term. Must be a scalar.}]>:$epsilon,

        Keras training loops like `fit`/`evaluate`, the unreduced vector loss is
        passed to the optimizer but the reported loss will be a scalar value.
    *   `SUM`: Scalar sum of weighted losses. 4. `SUM_OVER_BATCH_SIZE`: Scalar
        `SUM` divided by number of elements in losses. This reduction type is
        not supported when used with `tf.distribute.Strategy` outside of

Class <org.gradle.api.internal.tasks.scala.AnalysisStoreProvider> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (AnalysisStoreProvider.java:0)
Class <org.gradle.api.internal.tasks.scala.DaemonScalaCompiler$ScalaCompilerParameters> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (DaemonScalaCompiler.java:0)