%23 = "tf.Floor"(%22) : (tensor<1x96x96x1xf32>) -> tensor<1x96x96x1xf32>
  %24 = "tf.Cast"(%23) {Truncate = false} : (tensor<1x96x96x1xf32>) -> tensor<1x96x96x1xi32>
  %25 = "tf.AddV2"(%24, %cst) : (tensor<1x96x96x1xi32>, tensor<i32>) -> tensor<1x96x96x1xi32>

  %26 = "tf.ClipByValue"(%25, %cst, %cst_9) : (tensor<1x96x96x1xi32>, tensor<i32>, tensor<i32>) -> tensor<1x96x96x1xi32>

// CHECK:         }
func.func @convert_avgpool_reshape_broadcast(%arg0: tensor<4x16x16x8xf32>) -> tensor<4x8x8x8xf32> {
  %0 = mhlo.constant dense<1.000000e+00> : tensor<1x16x16x1xf32>
  %1 = mhlo.constant dense<0.000000e+00> : tensor<f32>
  %2 = "mhlo.reduce_window"(%arg0, %1) ({
  ^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>):
    %7 = mhlo.add %arg1, %arg2 : tensor<f32>