func.return %2 : tensor<1x128x128x8xf32>

  // CHECK-LABEL: testDilatedConvWithNonZeroBasePadding
  // CHECK-SAME: ([[INPUT:%.*]]: tensor<1x128x128x3xf32>, [[FILTER:%.*]]: tensor<5x5x3x8xf32>)
  // CHECK-NEXT: [[RESULT:%.*]] = "tf.Conv2D"([[INPUT]], [[FILTER]]) <{dilations = [1, 2, 2, 1], padding = "SAME", strides = [1, 1, 1, 1]}> : (tensor<1x128x128x3xf32>, tensor<5x5x3x8xf32>) -> tensor<1x128x128x8xf32>

    func.return
  }

  // CHECK-LABEL: func @main
  // CHECK-SAME:    %[[ARG0:.*]]: tensor<10xi32>, %[[ARG1:.*]]: tensor<10xi32>
  func.func @main(%arg0: tensor<10xi32>, %arg1: tensor<10xi32>) -> tensor<10xi32> {
    // CHECK:      %[[RESULT:.*]] = "tf.XlaCallModule"(%[[ARG0]], %[[ARG1]])
    // CHECK-NOT:    function_list
    // CHECK-SAME:   module = ""
    // CHECK-SAME:   _entry_function = @main_0,

    // `module` is stablehlo bytecode for:

# CHECK-SAME: _xla_compile_device_type = "GPU"
# CHECK-SAME: allow_soft_placement
# CHECK-SAME: control_outputs = ""
# CHECK-SAME: inputs = "args_0,args_1,args_2,args_3"
# CHECK-SAME: outputs = "rets_0,rets_1"
# CHECK:          %[[ISLAND_0:.*]], %[[ISLAND_0_control:.*]] = tf_executor.island wraps "tf.Const"

// CHECK:      %[[SHAPE:[0-9]*]] = "tf.Shape"(%[[ARG_0]])
// CHECK-NEXT: %[[LAUNCH_A:[0-9]*]] = "tf_device.launch"
// CHECK-SAME: device = "a"
// CHECK-NEXT:   %[[OP_A:[0-9]*]] = "tf.opA"(%[[SHAPE]])
// CHECK-NEXT:   tf_device.return %[[OP_A]]
// CHECK:      %[[LAUNCH_B:[0-9]*]] = "tf_device.launch"
// CHECK-SAME: device = "b"
// CHECK-NEXT:   %[[OP_B:[0-9]*]] = "tf.opB"(%[[SHAPE]], %[[LAUNCH_A]])
// CHECK-NEXT:   tf_device.return %[[OP_B]]

                verify(programHost).compileSecondStageOf(
                    same(program),
                    same(scriptHost),
                    argThat { this.sourceHash == sourceHash && this.templateId == scriptTemplateId },
                    same(ProgramKind.TopLevel),
                    same(programTarget),
                    same(accessorsClassPath)
                )

                verifyNoMoreInteractions()

// CHECK-LABEL: func @identity
// CHECK-SAME:    (%[[ARG0:.*]]: tensor<i32>)
func.func @identity(%arg0: tensor<i32>) -> tensor<i32> {
  // CHECK-NOT: "tf.Identity"
  %0 = "tf.Identity"(%arg0) : (tensor<i32>) -> tensor<i32>
  // CHECK: return %[[ARG0]]
  func.return %0 : tensor<i32>
}

// CHECK-LABEL: func @identity_terminator
// CHECK-SAME:    (%[[ARG0:.*]]: tensor<i32>)

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

//go:build !plan9 && !windows

// Test that callbacks from C to Go in the same C-thread always get the same m.
// Make sure the extra M bind to the C-thread.

package main

/*
extern void CheckBindM();
*/
import "C"

import (
	"fmt"
	"os"
	"runtime"
	"sync"
	"sync/atomic"
)

      // CHECK: tfrt_fallback_async.batch_function device([[DEVICE:.*]]) @batched_func ([[BATCHED_FUNC_ARG:%.*]])
      // CHECK-SAME: Tcaptured = [!corert.resource]
      // CHECK-SAME: Tin = []
      // CHECK-SAME: Tout = [f32]

var a14 = f12(make([]byte, 1))

func f15(b []rune) [2][]rune { return [2][]rune{b, b} }

var a15 = f15([]rune("hello"))
var a16 = f15([]rune{1, 2, 3})

type Same struct {
	a, b interface{}
}

var same = []Same{
	{a1, b1},
	{a2, b2},
	{a3, b3},
	{a4, b4},
	{a5, b5},
	{a6, b6},
	{a7[0] == a7[1], true},
	{m8(a8) == "ghi", true},
	{m8(a9) == "ghi", true},
	{a10[0] == a10[1], true},

		}

	case *Interface:
		// Two interface types are identical if they describe the same type sets.
		// With the existing implementation restriction, this simplifies to:
		//
		// Two interface types are identical if they have the same set of methods with
		// the same names and identical function types, and if any type restrictions
		// are the same. Lower-case method names from different packages are always