// the resulting tensor computed, then the start and delta is used with the
// dynamic_iota value to compute the final range value.
//
// For example, the resulting range op value:
//   %range = "tf.range"(%start, %limit, %delta)
//
// Is converted to the following.
//   %start + %delta * iota(ceil(abs((%limit - %start) / %delta))
//

            "type": "string"
          }
        },
        "type": "object",
        "x-kubernetes-group-version-kind": [
          {
            "group": "",

            "type": "string"
          }
        },
        "type": "object",
        "x-kubernetes-group-version-kind": [
          {
            "group": "",

	// The delta is the number of bytes to offset ptr by.
	delta := s.newValue2(mulOp, types.Types[types.TINT], i, stride)

	// If we're slicing to the point where the capacity is zero,
	// zero out the delta.
	mask := s.newValue1(ssa.OpSlicemask, types.Types[types.TINT], rcap)
	delta = s.newValue2(andOp, types.Types[types.TINT], delta, mask)

	// Compute rptr = ptr + delta.

            "type": "string"
          }
        },
        "type": "object",
        "x-kubernetes-group-version-kind": [
          {
            "group": "",

            "type": "string"
          }
        },
        "type": "object",
        "x-kubernetes-group-version-kind": [
          {
            "group": "",

// CHECK-SAME: [[START:%.*]]: tensor<f32>, [[DELTA:%.*]]: tensor<f32>
func.func @range(%arg0: tensor<f32>, %arg1: tensor<f32>) -> tensor<5xf32> {
  %1 = "tf.Const"() {device = "", dtype = "tfdtype$DT_FLOAT", name = "range/limit", value = dense<5.000000e+00> : tensor<f32>} : () -> tensor<f32>
  // CHECK-DAG: [[IOTA:%.*]] = "mhlo.iota"
  // CHECK-DAG: [[MUL:%.*]] = chlo.broadcast_multiply [[IOTA]], [[DELTA]] {broadcast_dimensions = array<i64>}

            "type": "string"
          }
        },
        "type": "object",
        "x-kubernetes-group-version-kind": [
          {
            "group": "",

			}

			// Adjust flow control of currently-open
			// frames by the difference of the old initial
			// window size and this one.
			delta := int32(s.Val) - int32(cc.initialWindowSize)
			for _, cs := range cc.streams {
				cs.flow.add(delta)
			}
			cc.cond.Broadcast()

			cc.initialWindowSize = s.Val
		case http2SettingHeaderTableSize:
			cc.henc.SetMaxDynamicTableSize(s.Val)

* Add cache for VM get operation in azure cloud provider ([#57432](https://github.com/kubernetes/kubernetes/pull/57432), [@karataliu](https://github.com/karataliu))

* Configurable liveness probe initial delays for etcd and kube-apiserver in GCE ([#57749](https://github.com/kubernetes/kubernetes/pull/57749), [@wojtek-t](https://github.com/wojtek-t))