// CHECK-LABEL: conv2DBiasAdd_noActivation
func.func @conv2DBiasAdd_noActivation(%arg0: tensor<128xf32>, %arg1: tensor<1x1x3x128xf32>, %arg2: tensor<8x32x32x3xf32>) -> (tensor<*xf32>) {

//   <Contraction> + BiasAdd + <Activation> -> <FusedContraction>
//
// Note that fusion with activation is preferred, but a contraction and BiasAdd
// can also be replaced by a _FusedConv2D if there is no other activation
// function.
// i.e., this class also supports the following fusion:
//   <Contraction> + BiasAdd -> <FusedContraction>
//

  %input_scale = "tf.Const"() {value = dense<1.0> : tensor<f32>} : () -> tensor<f32>
  %side_input_scale = "tf.Const"() {value = dense<2.0> : tensor<f32>} : () -> tensor<f32>
  %conv2d = "tf._FusedConv2D"(%input, %filter, %bias, %act, %input_scale, %side_input_scale) {