specify a class index to be ignored during loss/metric computation (e.g.
        a background/void class).
    *   Added
        [`tf.keras.models.experimental.SharpnessAwareMinimization`](https://www.tensorflow.org/api_docs/python/tf/keras/models/experimental/SharpnessAwareMinimization).
        This class implements the sharpness-aware minimization technique, which

          },
          "structuredParameters": {
            "description": "If and only if allocation of claims using this class is handled via structured parameters, then StructuredParameters must be set to true.",

  \\(targets_i\\) be the target class for example `i`,
  \\(out_i\\) be the output for example `i`,

$$out_i = predictions_{i, targets_i} \in TopKIncludingTies(predictions_i)$$
  }];

  let arguments = (ins
    Arg<TF_Float32Tensor, [{A `batch_size` x `classes` tensor.}]>:$predictions,
    Arg<TF_I32OrI64Tensor, [{A `batch_size` vector of class ids.}]>:$targets,

            "type": "string"
          },
          "schedulerName": {