c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]])

# Select two rows, one segment.
tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 0]))
# => [[0 0 0 0]]

# Select two rows, two segment.
tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 1]))
# => [[ 1  2  3  4]
#     [-1 -2 -3 -4]]

# Select all rows, two segments.

### Feature

- AWS cloudprovider supports auto-discovering subnets without any kubernetes.io/cluster/<clusterName> tags. It also supports additional service annotation service.beta.kubernetes.io/aws-load-balancer-subnets to manually configure the subnets. ([#97431](https://github.com/kubernetes/kubernetes/pull/97431), [@kishorj](https://github.com/kishorj)) [SIG Cloud Provider]

		{"(*NullTime).Scan", Method, 13},
		{"(*Row).Err", Method, 15},
		{"(*Row).Scan", Method, 0},
		{"(*Rows).Close", Method, 0},
		{"(*Rows).ColumnTypes", Method, 8},
		{"(*Rows).Columns", Method, 0},
		{"(*Rows).Err", Method, 0},
		{"(*Rows).Next", Method, 0},
		{"(*Rows).NextResultSet", Method, 8},
		{"(*Rows).Scan", Method, 0},
		{"(*Stmt).Close", Method, 0},
		{"(*Stmt).Exec", Method, 0},

Class <org.gradle.internal.resource.transport.aws.s3.S3Client> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (S3Client.java:0)
Class <org.gradle.internal.resource.transport.aws.s3.S3ConnectionProperties> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (S3ConnectionProperties.java:0)

      },
      "io.k8s.api.core.v1.AWSElasticBlockStoreVolumeSource": {
        "description": "Represents a Persistent Disk resource in AWS.\n\nAn AWS EBS disk must exist before mounting to a container. The disk must also be in the same AWS zone as the kubelet. An AWS EBS disk can only be mounted as read/write once. AWS EBS volumes support ownership management and SELinux relabeling.",
        "properties": {
          "fsType": {

				Limits: core.ResourceList{
					core.ResourceName("attachable-volumes-aws-ebs"): *resource.NewQuantity(10, resource.DecimalSI),
				},
			},
			ImagePullPolicy:          "IfNotPresent",
			TerminationMessagePolicy: "File",
		}},
		field.ErrorList{
			{Type: field.ErrorTypeInvalid, Field: "containers[0].resources.limits[attachable-volumes-aws-ebs]"},

25F8..25FF    ; valid                  ;      ; NV8    # 3.2  UPPER LEFT TRIANGLE..LOWER RIGHT TRIANGLE
2600..2613    ; valid                  ;      ; NV8    # 1.1  BLACK SUN WITH RAYS..SALTIRE
2614..2615    ; valid                  ;      ; NV8    # 4.0  UMBRELLA WITH RAIN DROPS..HOT BEVERAGE
2616..2617    ; valid                  ;      ; NV8    # 3.2  WHITE SHOGI PIECE..BLACK SHOGI PIECE

    *   Added L2 unit normalization layer `tf.keras.layers.UnitNormalization`.
    *   Added `tf.keras.regularizers.OrthogonalRegularizer`, a new regularizer
        that encourages orthogonality between the rows (or columns) or a weight
        matrix.
    *   Added `tf.keras.layers.RandomBrightness` layer for image preprocessing.
    *   Added APIs for switching between interactive logging and absl logging.

\t\"apiVersion\":\"v1\",\n\t\t\"myPlugin\": {\n\t\t\t\"kind\":\"PluginA\",\n\t\t\t\"aOption\":\"foo\",\n\t\t},\n\t}\n\nSo what happens? Decode first uses json or yaml to unmarshal the serialized data into your external MyAPIObject. That causes the raw JSON to be stored, but not unpacked. The next step is to copy (using pkg/conversion) into the internal struct. The runtime package's DefaultScheme has conversion functions installed which will unpack the JSON stored in RawExtension, turning it into...