%0 = "tf.DepthwiseConv2dNative"(%arg0, %arg1) {
      attr_map = "0:strides,1:padding,2:explicit_paddings,3:dilations", data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1]
    } : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<*xf32>
    return %0 : tensor<*xf32>
  }

    %conv = "tf.Conv2D"(%arg0, %arg1) {attr_map = "0:strides,1:use_cudnn_on_gpu,2:padding,3:explicit_paddings,4:dilations", data_format = "NHWC", device = "", dilations = [1, 2, 2, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x2x2x3xf32>, tensor<2x3x3x2xf32>) -> tensor<*xf32>
    return %conv : tensor<*xf32>
  }

	if job.Spec.ActiveDeadlineSeconds == nil || job.Status.StartTime == nil || jobSuspended(job) {
		return false
	}
	duration := jm.clock.Since(job.Status.StartTime.Time)
	allowedDuration := time.Duration(*job.Spec.ActiveDeadlineSeconds) * time.Second
	return duration >= allowedDuration
}

				UDPTimeout:    metav1.Duration{Duration: 0 * time.Second},
			},
			expectedErrs: field.ErrorList{},
		},
		"IPVS Timeout > 0": {
			config: kubeproxyconfig.KubeProxyIPVSConfiguration{
				SyncPeriod:    metav1.Duration{Duration: 5 * time.Second},
				TCPTimeout:    metav1.Duration{Duration: 1 * time.Second},
				TCPFinTimeout: metav1.Duration{Duration: 2 * time.Second},
				UDPTimeout:    metav1.Duration{Duration: 3 * time.Second},

  %3 = "tf.AddV2"(%2, %1): (tensor<15x28x28x1xf32>, tensor<1xf32>) -> tensor<15x28x28x1xf32>
  func.return %2 : tensor<15x28x28x1xf32>

    %0 = "tf.Conv2D"(%arg0, %arg1) {attr_map = "0:strides,1:use_cudnn_on_gpu,2:padding,3:explicit_paddings,4:dilations", data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "VALID", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32>

)

type ResyncPeriodFunc func() time.Duration

// Returns 0 for resyncPeriod in case resyncing is not needed.
func NoResyncPeriodFunc() time.Duration {
	return 0
}

// StaticResyncPeriodFunc returns the resync period specified
func StaticResyncPeriodFunc(resyncPeriod time.Duration) ResyncPeriodFunc {
	return func() time.Duration {
		return resyncPeriod
	}
}

    %0 = "tf.Conv2D"(%arg0, %arg1) {attr_map = "0:strides,1:use_cudnn_on_gpu,2:padding,3:explicit_paddings,4:dilations", data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x3x4x512xf32>, tensor<2x3x512x2xf32>) -> tensor<*xf32>
    return %0 : tensor<*xf32>
  }

// CHECK-LABEL: conv_2d_bf16
func.func @conv_2d_bf16(%arg0 : tensor<256x32x32x3xbf16>, %arg1 : tensor<3x3x3x16xbf16>) -> tensor<256x8x7x16xbf16> {
  %0 = "tf.Conv2D"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xbf16>, tensor<3x3x3x16xbf16>) -> tensor<256x8x7x16xbf16>
  func.return %0 : tensor<256x8x7x16xbf16>
  // CHECK: "tfl.conv_2d"
}

			obj.Authentication.Webhook.CacheTTL = metav1.Duration{Duration: 2 * time.Minute}
			obj.Authorization.Mode = kubeletconfig.KubeletAuthorizationModeAlwaysAllow
			obj.Authorization.Webhook.CacheAuthorizedTTL = metav1.Duration{Duration: 5 * time.Minute}
			obj.Authorization.Webhook.CacheUnauthorizedTTL = metav1.Duration{Duration: 30 * time.Second}
			obj.Address = "0.0.0.0"
			obj.VolumeStatsAggPeriod = metav1.Duration{Duration: time.Minute}