// CHECK-LABEL: func.func private @"map/while_body/TfMlrtAsyncWhileBody"(%arg0: !mlrt.promise, %arg1: !mlrt.future, %arg2: !mlrt.promise, %arg3: !mlrt.future, %arg4: !mlrt.promise, %arg5: tensor<i32>, %arg6: tensor<?x!tf_type.resource>, %arg7: tensor<*xf32>) {
// CHECK-NEXT:    %cst = "tf.Const"() <{value = dense<1> : tensor<i32>}> : () -> tensor<i32>
// CHECK-NEXT:    %0 = "tf_mlrt.tf_await"(%arg1) : (!mlrt.future) -> tensor<i32>

// CHECK-NEXT:   } ]
// CHECK-NEXT:   signature_defs: [ ]
// CHECK-NEXT: }
// CHECK-EMPTY:

// CHECK-NEXT:   } ]
// CHECK-NEXT:   signature_defs: [ ]
// CHECK-NEXT: }
// CHECK-EMPTY:

// CHECK: %[[NONE:.+]] = "tfl.no_value"() <{value}> : () -> none
// CHECK: "tfl.lstm"(%arg0, %arg1, %arg2, %arg3, %arg4, %arg5, %arg6, %arg7, %arg8, %[[NONE]], %[[NONE]], %[[NONE]], %arg9, %arg10, %arg11, %arg12, %arg13, %[[NONE]], %arg19, %arg20, %arg15, %arg16, %arg17, %arg18)
}

func.func @keepCustomFlexOps(%arg0: tensor<1x10xf32>) -> tensor<1x10xf32> {

// CHECK-NEXT:   } ]
// CHECK-NEXT:   signature_defs: [ ]
// CHECK-NEXT: }
// CHECK-EMPTY:

^bb0(%arg0: tensor<4x4x4xf32>,
  %arg1: tensor<4x4xf32>, %arg2: tensor<4x4xf32>, %arg3: tensor<4x4xf32>, %arg4: tensor<4x4xf32>,
  %arg5: tensor<4x4xf32>, %arg6: tensor<4x4xf32>, %arg7: tensor<4x4xf32>, %arg8: tensor<4x4xf32>,
  %arg9: tensor<4xf32>, %arg10: tensor<4xf32>, %arg11: tensor<4xf32>,

    %cst = "tfl.no_value"() {value = unit} : () -> none

// CHECK:      %[[RELU6_0:.*]] = "tf.Relu6"

// CHECK-LABEL: func private @quantized_conv2d_with_bias_and_relu6_fn_0
// CHECK-SAME: (%arg0: tensor<1x2x2x3xi8>, %arg1: tensor<2x2x3x2xi8>, %arg2: tensor<2xi32>, %arg3: tensor<f32>, %arg4: tensor<i32>, %arg5: tensor<2xf32>, %arg6: tensor<2xi32>, %arg7: tensor<2xf32>, %arg8: tensor<2xi32>, %arg9: tensor<f32>, %arg10: tensor<i32>) -> tensor<*xi8>
// CHECK:      %[[CONV2D_0:.*]] = "tf.Conv2D"

func.func @f(%arg0: !tfrt.chain, %arg1: !tfrt_fallback.tf_tensor, %arg2: !tfrt_fallback.tf_tensor, %arg3: !tfrt_fallback.tf_tensor, %arg4: !tfrt_fallback.tf_tensor,
        %arg5: !tfrt_fallback.tf_tensor, %arg6: !tfrt_fallback.tf_tensor, %arg7: !tfrt_fallback.tf_tensor, %arg8: !tfrt_fallback.tf_tensor, %arg9: !tfrt_fallback.tf_tensor,

// CHECK-LABEL: testLiftDotConcatLHSAndRHS
func.func @testLiftDotConcatLHSAndRHS(%arg0: tensor<1x72x128xf32>, %arg1: tensor<1x128x72xf32>, %arg2: tensor<1x72x128xf32>, %arg3: tensor<1x128x72xf32>, %arg4: tensor<1x72x128xf32>, %arg5: tensor<1x128x72xf32>, %arg6: tensor<1x72x128xf32>, %arg7: tensor<1x128x72xf32>) -> tensor<4x72x72xf32> {
  %0 = "mhlo.dot_general"(%arg0, %arg1) {
    dot_dimension_numbers = #mhlo.dot<
      lhs_batching_dimensions = [0],

  "tf.AssignVariableOp"(%arg0, %arg2) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> ()
  // CHECK-NEXT: "tf.AssignVariableOp"(%[[ARG_5]], %[[ARG_6]])
  "tf.AssignVariableOp"(%arg5, %arg6) : (tensor<*x!tf_type.resource<tensor<2xf32>>>, tensor<2xf32>) -> ()
  %read1 = "tf.ReadVariableOp"(%arg1) : (tensor<*x!tf_type.resource<tensor<64xf32>>>) -> tensor<64xf32>