message: Simplify graphdef2mlir/graph-scalar-input.pbtxt test to be more targeted
  This test intends to check that we handle the command line flags for
  tf-input/-tf-output, the CHECK lines are adjusted to reflect this.
diff: # RUN: tf-mlir-translate -graphdef-to-mlir %s -tf-input-arrays=input -tf-input-data-types=DT_FLOAT -tf-input-shapes='' -tf-output-arrays=out:1,out -o - | FileCheck %s
  +# Verify that we match correctly the input / output when they are scalar.
  +
  +# CHECK: func @main(%arg0: tensor<f32>) -> (tensor<f32>, tensor<f32>)
  +# CHECK-NEXT: attributes {tf.entry_function = {inputs = "input", outputs = "out"}} {
  +# CHECK: "_tf.Placeholder.input"(%arg0)
  +
  +# CHECK: %[[IDENTITY:[0-9]+]]:3 = "_tf.IdentityN"
  +# CHECK: return %[[IDENTITY]]#1, %[[IDENTITY]]#0 : tensor<f32>, tensor<f32>
  +
  node {
  name: "input"
  op: "Placeholder"
  @@ -52,11 +61,3 @@ node {
  versions {
  producer: 27
  }
  -
  -# CHECK: func @main(%arg0: tensor<f32>) -> (tensor<f32>, tensor<f32>)
  -# CHECK-NEXT: attributes {tf.entry_function = {inputs = "input", outputs = "out"}} {
  -# CHECK-NEXT: %0:2 = "_tf.Placeholder.input"(%arg0) {device = "/device:CPU:0", dtype = "tfdtype$DT_FLOAT", name = "input", shape = "tfshape$"} : (tensor<f32>) -> (tensor<f32>, !_tf.control)
  -# CHECK-NEXT: %1:2 = "_tf.Relu"(%0#0) {T = "tfdtype$DT_FLOAT", device = "/device:CPU:0", name = "Relu"} : (tensor<f32>) -> (tensor<f32>, !_tf.control)
  -# CHECK-NEXT: %2:3 = "_tf.IdentityN"(%1#0, %1#0) {T = ["tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT"], device = "", name = "out"} : (tensor<f32>, tensor<f32>) -> (tensor<f32>, tensor<f32>, !_tf.control)
  -# CHECK-NEXT: return %2#1, %2#0 : tensor<f32>, tensor<f32>
  -# CHECK-NEXT: }
  