%10 = "tfl.pseudo_const"() {value = dense<[-1.59288621, 0.904723584]> : tensor<2xf32>} : () -> tensor<2xf32>
  %11 = "tfl.pseudo_const"() {value = dense<[-0.323118627, 1.77580559]> : tensor<2xf32>} : () -> tensor<2xf32>
  %12 = "tfl.pseudo_const"() {value = dense<[-1.0347594, -1.09994471]> : tensor<2xf32>} : () -> tensor<2xf32>
  %13 = "tfl.pseudo_const"() {value = dense<[-2.03072214, -1.63648951]> : tensor<2xf32>} : () -> tensor<2xf32>

// CHECK-DAG:       %[[VAL_1:.*]] = "tfl.pseudo_const"() <{value = dense<1.000000e+00> : tensor<16x3x3x3xf32>}> : () -> tensor<16x3x3x3xf32>
// CHECK-DAG:       %[[VAL_2:.*]] = "tfl.pseudo_const"() <{value = dense<1.000000e+00> : tensor<16xf32>}> : () -> tensor<16xf32>
// CHECK-DAG:       %[[VAL_3:.*]] = "tfl.pseudo_const"() <{value = dense<1.000000e+00> : tensor<16x3x3x16xf32>}> : () -> tensor<16x3x3x16xf32>

                               %arg1: tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32:3, {1.0,2.0,3.0}>>) -> tensor<1x112x112x32xf32> {
  %bias = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<32xf32>} : () -> tensor<32xf32>
  %input = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 1.5>>) -> tensor<1x224x224x3xf32>