Class <org.gradle.internal.serialize.Serializers$StatefulSerializerAdapter> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (Serializers.java:0)
Class <org.gradle.internal.serialize.Serializers> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (Serializers.java:0)

resource.}]>:$serialized
  );

  let results = (outs);
}

def TF_DeserializeSparseOp : TF_Op<"DeserializeSparse", [Pure]> {
  let summary = "Deserialize `SparseTensor` objects.";

  let description = [{
The input `serialized_sparse` must have the shape `[?, ?, ..., ?, 3]` where
the last dimension stores serialized `SparseTensor` objects and the other N

will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical...

    replaced with by writing regular Python functions. Using the `tf.function`
    decorator, such functions can be turned into graphs which can be executed
    remotely, serialized, and optimized for performance.
*   Unification of `tf.train.Optimizers` and `tf.keras.Optimizers`. Use
    `tf.keras.Optimizers` for TF2.0. `compute_gradients` is removed as public

will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical...

				RestartPolicy: core.RestartPolicyAlways,
				DNSPolicy:     core.DNSClusterFirst,
				NodeSelector: map[string]string{
					"key": "value",
				},
				NodeName: "foobar",
			},
		},
		"serialized node affinity requirements": {
			ObjectMeta: metav1.ObjectMeta{
				Name:      "123",
				Namespace: "ns",
			},
			Spec: validPodSpec(

- Ipvs: only attempt setting of sysctlconnreuse on supported kernels ([#88541](https://github.com/kubernetes/kubernetes/pull/88541), [@cmluciano](https://github.com/cmluciano)) [SIG Network]
- Jsonpath support in kubectl / client-go serializes complex types (maps / slices / structs) as json instead of Go-syntax. ([#89660](https://github.com/kubernetes/kubernetes/pull/89660), [@pjferrell](https://github.com/pjferrell)) [SIG API Machinery, CLI and Cluster Lifecycle]