"type": "string"
          },
          "remainingItemCount": {

"description": "NodeAffinityPolicy indicates how we will treat Pod's nodeAffinity/nodeSelector when calculating pod topology spread skew. Options are: - Honor: only nodes matching nodeAffinity/nodeSelector are included in the calculations. - Ignore: nodeAffinity/nodeSelector are ignored. All nodes are included in the calculations.\n\nIf this value is nil, the behavior is equivalent to the Honor policy. This is a beta-level feature default enabled by the NodeInclusionPolicyInPodTopologySpread feature flag.",...

  let summary = "Outputs random values from a uniform distribution.";

  let description = [{
The generated values follow a uniform distribution in the range `[0, 1)`. The
lower bound 0 is included in the range, while the upper bound 1 is excluded.
  }];

  let arguments = (ins
    Arg<TF_I32OrI64Tensor, [{The shape of the output tensor.}]>:$shape,

        each `TRTEngineOp` with their input(s)' and output(s)' shape and dtype.
        A detailed version of the summary is available which prints additionally
        all the TensorFlow OPs included in each of the `TRTEngineOp`s.

*   `tf.tpu.experimental.embedding`:

    *   `tf.tpu.experimental.embedding.FeatureConfig` now takes an additional