{
      "name": "envoy.stat_sinks.statsd",
      "typed_config": {
        "@type": "type.googleapis.com/envoy.config.metrics.v3.StatsdSink",
        "address": {
          "socket_address": {"address": "10.1.1.1", "port_value": 9125}
        }
      }
    }
    
  ]
  
  
  ,
  "cluster_manager": {
    "outlier_detection": {
      "event_log_path": "/dev/stdout"
    }
  }
  

  Tensor filter = test::AsTensor<float>({0.5f}, {1, 1, 1, 1});
  const std::vector<int> strides{1, 1, 1, 1};
  auto y = Conv2D(scope_, x, filter, strides, "SAME");
  RunTest(x, shape, y, shape);
}

TEST_F(NNGradTest, MaxPoolGradHelper) {
  TensorShape x_shape({1, 2, 2, 1});
  TensorShape y_shape({1, 1, 1, 1});
  auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape));

    
    {
      "name": "envoy.stat_sinks.statsd",
      "typed_config": {
        "@type": "type.googleapis.com/envoy.config.metrics.v3.StatsdSink",
        "address": {
          "socket_address": {"address": "10.1.1.1", "port_value": 9125}
        }
      }
    }
    
  ]
  
  
  ,
  "cluster_manager": {
    "outlier_detection": {
      "event_log_path": "/dev/stdout"
    }
  }
  

					Name: "foo",
				},
				Spec: v1.ServiceSpec{
					ClusterIP: "1.1.1.1",
				},
			}),
			expectedBytes: []byte(`[dryrun] Would perform action CREATE on resource "services" in API group "core/v1"
	apiVersion: v1
	kind: Service
	metadata:
	  creationTimestamp: null
	  name: foo
	spec:
	  clusterIP: 1.1.1.1
	status:
	  loadBalancer: {}
`),
		},
		{
			name:   "action PATCH on nodes",

    
    {
      "name": "envoy.stat_sinks.statsd",
      "typed_config": {
        "@type": "type.googleapis.com/envoy.config.metrics.v3.StatsdSink",
        "address": {
          "socket_address": {"address": "10.1.1.1", "port_value": 9125}
        }
      }
    }
    
  ]
  
  
  ,
  "cluster_manager": {
    "outlier_detection": {
      "event_log_path": "/dev/stdout"
    }
  }
  

[19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
[19511] [INFO] Booting worker with pid: 19511
[19513] [INFO] Booting worker with pid: 19513
[19514] [INFO] Booting worker with pid: 19514
[19515] [INFO] Booting worker with pid: 19515
[19511] [INFO] Started server process [19511]
[19511] [INFO] Waiting for application startup.
[19511] [INFO] Application startup complete.
[19513] [INFO] Started server process [19513]

                    addressPrefix: 192.168.7.8
                    prefixLen: 32
            - orIds:
                ids:
                - directRemoteIp:
                    addressPrefix: 10.1.1.1
                    prefixLen: 32
                - directRemoteIp:
                    addressPrefix: 192.1.1.2
                    prefixLen: 32

    # NOTE: The data/x/input is always specified in floating point precision.
    # output shape: [-1, 28, 28, 32]
    conv1 = gen_mnist_ops.new_conv2d(x, self.weights['f1'], self.biases['b1'],
                                     1, 1, 1, 1, 'SAME', 'RELU')

    # Max pooling. The kernel size spec {ksize} also follows the layout of
    # the data. Here we have a pooling window of 2, and a stride of 2.
    # output shape: [-1, 14, 14, 32]

    (  0,140,  0)     # rgb = (0x00,0x8c,0x00)
    (227,227,227)     # rgb = (0xe3,0xe3,0xe3) grey89
    (  0,128,  0)     # rgb = (0x00,0x80,0x00)
    (146,  6,  6)     # rgb = (0x92,0x06,0x06)
    (  1,  1,111)     # rgb = (0x01,0x01,0x6f)
    (100, 86, 89)     # rgb = (0x64,0x56,0x59)
    (  0,  0,100)     # rgb = (0x00,0x00,0x64)
    ( 78, 78,107)     # rgb = (0x4e,0x4e,0x6b)
    (207,207,207)     # rgb = (0xcf,0xcf,0xcf) grey81

    
    {
      "name": "envoy.stat_sinks.statsd",
      "typed_config": {
        "@type": "type.googleapis.com/envoy.config.metrics.v3.StatsdSink",
        "address": {
          "socket_address": {"address": "10.1.1.1", "port_value": 9125}
        }
      }
    }
    
  ]
  
  
  ,
  "cluster_manager": {
    "outlier_detection": {
      "event_log_path": "/dev/stdout"
    }
  }