func.func @remove_redundant_cast(%arg0: tensor<1x100x100x1xf32>) -> (tensor<1x96x96x1xf32>) {
  %cst = "tf.Const"() {value = dense<-128> : tensor<i32>} : () -> tensor<i32>
  %cst_0 = "tf.Const"() {value = dense<0.0235294122> : tensor<f32>} : () -> tensor<f32>
  %cst_1 = "tf.Const"() {value = dense<0.00708661414> : tensor<1xf32>} : () -> tensor<1xf32>
  %cst_2 = "tf.Const"() {value = dense<1.799000e+03> : tensor<1xf32>} : () -> tensor<1xf32>

// CHECK-DAG: %[[b0_scale:.*]] = "tf.Const"() <{value = dense<5.89619667E-5> : tensor<f32>}> : () -> tensor<f32>
// CHECK-DAG: %[[mid_scale:.*]] = "tf.Const"() <{value = dense<0.0235294122> : tensor<f32>}> : () -> tensor<f32>

// PerChannel-LABEL: func @conv_with_per_channel_and_tensor_weight

    %cst_1 = "tf.Const"() {value = dense<0.587548196> : tensor<f32>} : () -> tensor<f32>
    %cst_2 = "tf.Const"() {value = dense<-128> : tensor<i32>} : () -> tensor<i32>
    %cst_3 = "tf.Const"() {value = dense<0.0235294122> : tensor<f32>} : () -> tensor<f32>
    %cst_4 = "tf.Const"() {value = dense<0.0751230493> : tensor<1xf32>} : () -> tensor<1xf32>
    %cst_5 = "tf.Const"() {value = dense<0> : tensor<1xi32>} : () -> tensor<1xi32>