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,

    DefaultValuedOptionalAttr<I64Attr, "0">:$seed,

Class <org.gradle.api.internal.artifacts.ivyservice.resolveengine.excludes.factories.DelegatingExcludeFactory> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (DelegatingExcludeFactory.java:0)

### Known Caveats

* `tf.lite`
    * when converter flag "_experimenal_use_buffer_offset" is enabled, additional metadata is automatically excluded from the generated model. The behaviour is the same as "exclude_conversion_metadata" is set
    * If the model is larger than 2GB, then we also require "exclude_conversion_metadata" flag to be set

		expectedError: true,
	}, {
		desc: "valid: 7 search paths",
		dnsConfig: &core.PodDNSConfig{
			Searches: []string{"custom", "mydomain.com", "local", "cluster.local", "svc.cluster.local", "default.svc.cluster.local", "exceeded"},
		},
	}, {
		desc: "invalid: 33 search paths",
		dnsConfig: &core.PodDNSConfig{