t.Errorf("float64(i64) != di64")
	}
	if float64(i32) != di32 {
		t.Errorf("float64(i32) != di32")
	}
	if float64(i16) != di16 {
		t.Errorf("float64(i16) != di16")
	}
	if float64(i8) != di8 {
		t.Errorf("float64(i8) != di8")
	}
	if float32(u64) != su64 {
		t.Errorf("float32(u64) != su64")
	}
	if float32(u32) != su32 {
		t.Errorf("float32(u32) != su32")
	}
	if float32(u16) != su16 {

	for i := uint64(257); i >= 256; i-- {
		dummy()
	}

	// s390x:"CLGIJ\t[$]2, R[0-9]+, [$]0, "
	for i := uint64(1024); i > 0; i-- {
		dummy()
	}
}

// Signed 32-bit compare-and-branch.
func si32(x, y chan int32) {
	// s390x:"CRJ\t[$](2|4), R[0-9]+, R[0-9]+, "
	for <-x < <-y {
		dummy()
	}

	// s390x:"CL?RJ\t[$]8, R[0-9]+, R[0-9]+, "
	for <-x == <-y {
		dummy()
	}
}

func.func @add_v2_uint32(%arg0: tensor<ui32>, %arg1: tensor<ui32>) -> tensor<ui32> {
  %0 = "tf.AddV2"(%arg0, %arg1) : (tensor<ui32>, tensor<ui32>) -> tensor<ui32>
  func.return %0 : tensor<ui32>

  // CHECK-LABEL: add_v2_uint32
  // CHECK:  %[[CAST:.*]] = "tf.Cast"(%arg0) <{Truncate = false}> : (tensor<ui32>) -> tensor<i32>
  // CHECK:  %[[CAST1:.*]] = "tf.Cast"(%arg1) <{Truncate = false}> : (tensor<ui32>) -> tensor<i32>

func.func @testUnimplementedOp() -> (tensor<i32>, tensor<i32>) {
  %0 = arith.constant dense<1> : tensor<i32>
  %1 = arith.constant dense<2> : tensor<i32>
  %2 = "tf.Maximum"(%0, %1) {_output_shapes = ["tfshape$"]} : (tensor<i32>, tensor<i32>) -> tensor<i32>
  %3 = "tf.Minimum"(%0, %1) {random_attr = "hello"} : (tensor<i32>, tensor<i32>) -> tensor<i32>

import (
	"fmt"
	"os"
)

var (
	i8 int8 = 0x12
	i16 int16 = 0x1234
	i32 int32 = 0x12345678
	i64 int64 = 0x123456789abcdef0
	ui8 uint8 = 0x12
	ui16 uint16 = 0x1234
	ui32 uint32 = 0x12345678
	ui64 uint64 = 0x123456789abcdef0

	ni8 = ^i8
	ni16 = ^i16
	ni32 = ^i32
	ni64 = ^i64
	nui8 = ^ui8
	nui16 = ^ui16
	nui32 = ^ui32
	nui64 = ^ui64
)

var nfail = 0

func main() {
	if nfail > 0 {

  func.return %0 : tensor<? x i32>
}

// CHECK-LABEL: testPow
func.func @testPow(tensor<? x i32>, tensor<? x i32>) -> tensor<? x i32> {
^bb0(%arg0: tensor<? x i32>, %arg1: tensor<? x i32>):
  // CHECK: tfl.pow %arg0, %arg1
  %0 = tfl.pow %arg0, %arg1 : tensor<? x i32>
  func.return %0#0 : tensor<? x i32>
}

// CHECK-LABEL: testAtan2

    %1 = func.call @WhileOp_cond(%arg0, %arg1, %cst) : (tensor<*xi32>, tensor<*xf32>, tensor<i32>) -> tensor<i1>
    "tfl.yield"(%1) : (tensor<i1>) -> ()
  },  {
  ^bb0(%arg0: tensor<*xi32>, %arg1: tensor<*xf32>):
    // CHECK: call @WhileOp_body
    // CHECK-SAME: (tensor<*xi32>, tensor<*xf32>, tensor<i32>)

  %8 = "tf.AddV2"(%arg0, %cst_2) {T = i32, device = ""} : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32>
  func.return %8, %arg1, %0, %arg3, %7 : tensor<*xi32>, tensor<*xi32>, tensor<*xi32>, tensor<*xf32>, tensor<*xf32>
}

func.func @while_cond_10_frozen0(%arg0: tensor<*xi32>, %arg1: tensor<*xi32>, %arg2: tensor<*xi32>, %arg3: tensor<*xf32>, %arg4: tensor<*xf32>) -> tensor<*xi1> {

      "tfl.yield"(%3) : (tensor<i1>) -> ()
  },  {
    ^bb0(%arg3: tensor<*xi32>, %arg4: tensor<i32>):
      %4 = "tfl.sub"(%arg3, %arg4) {fused_activation_function = "NONE"} :
        (tensor<*xi32>, tensor<i32>) -> tensor<*xi32>
      "tfl.yield"(%4) : (tensor<*xi32>) -> ()
  }) : (tensor<i32>, tensor<*x!tf_type.resource<tensor<*xi32>>>) -> (tensor<i32>, tensor<*x!tf_type.resource<tensor<*xi32>>>)

func.func @multiple_return(%arg0 : tensor<*xi32>, %arg1 : tensor<i32>) -> (tensor<*xi32>, tensor<*xi32>) {
  %1 = "tf.Add"(%arg0, %arg1) {} : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32>
  %2 = "tf.Add"(%1, %arg1) {} : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32>
  func.return %1, %2 : tensor<*xi32>, tensor<*xi32>
}

// CHECK-LABEL: func @multiple_return