device: "/job:localhost/replica:0/task:0/device:GPU:0"
  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
}
node {
  name: "max_pooling2d_1/MaxPool"
  op: "MaxPool"
  input: "pool1_pad_1/Pad"
  device: "/job:localhost/replica:0/task:0/device:GPU:0"
  attr {
    key: "T"
    value {
      type: DT_HALF
    }
  }
  attr {

}

// CHECK-LABEL:   func @convert_maxpool_valid(
// CHECK-SAME:                                %[[VAL_0:.*]]: tensor<4x16x16x8xf32>) -> tensor<4x7x7x8xf32> {
// CHECK:           %[[VAL_1:.*]] = "tf.MaxPool"(%[[VAL_0]]) <{data_format = "NHWC", explicit_paddings = [], ksize = [1, 3, 3, 1], padding = "VALID", strides = [1, 2, 2, 1]}> : (tensor<4x16x16x8xf32>) -> tensor<4x7x7x8xf32>
// CHECK:           return %[[VAL_1]] : tensor<4x7x7x8xf32>

    key: "_class"
    value {
      list {
        s: "loc:@bn_conv1_1/AssignMovingAvg_1/AssignSubVariableOp"
      }
    }
  }
}
node {
  name: "max_pooling2d_1/MaxPool"
  op: "MaxPool"
  input: "activation_50/Relu"
  device: "/job:localhost/replica:0/task:0/device:GPU:0"
  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
  attr {