Status status = xla_kernel_creator.CreateKernel(flr_, callsite, &kernel_);
  ASSERT_TRUE(status.ok()) << status.ToString();

  EXPECT_EQ("XTimesY", kernel_->name());
  EXPECT_EQ("XTimesY", kernel_->type_string());

  EXPECT_EQ(2, kernel_->num_inputs());
  EXPECT_EQ(DT_FLOAT, kernel_->input_type(0));
  EXPECT_EQ(DT_RESOURCE, kernel_->input_type(1));
  EXPECT_EQ(DEVICE_MEMORY, kernel_->input_memory_types()[0]);

//
// If the MPTCP protocol has not been requested when creating the socket, this
// method will return true: MPTCP is not being used.
//
// Kernel >= 5.16 returns EOPNOTSUPP/ENOPROTOOPT in case of fallback.
// Older kernels will always return them even if MPTCP is used: not usable.
func hasFallenBack(fd *netFD) bool {
	_, err := fd.pfd.GetsockoptInt(_SOL_MPTCP, _MPTCP_INFO)

// the kernel can be out of sync with the CLI utility, leading to errors like:
//
// ipset v7.10: Argument `comment' is supported in the kernel module of the set type hash:ip
// starting from the revision 3 and you have installed revision 1 only.
// Your kernel is behind your ipset utility.
//
// This happens with kernels as recent as Fedora38, e.g: 6.4.11-200.fc38.aarch64

			return b, err
		}
	}
	return nil, nil
}

// kernelBase calculates the base for kernel mappings, which usually require
// special handling. For kernel mappings, tools (like perf) use the address of
// the kernel relocation symbol (_text or _stext) as the mmap start. Additionally,
// for obfuscation, ChromeOS profiles have the kernel image remapped to the 0-th page.

	// at addr2, without either machine executing Listen. If laddr == nil,
	// it means we want the kernel to pick an appropriate originating local
	// address. Some Linux kernels cycle blindly through a fixed range of
	// local ports, regardless of destination port. If a kernel happens to
	// pick local port 50001 as the source for a Dial("tcp", "", "localhost:50001"),

// and kernel configuration.
//
// Should we try to use the IPv4 socket interface if we're only
// dealing with IPv4 sockets? As long as the host system understands
// IPv4-mapped IPv6, it's okay to pass IPv4-mapped IPv6 addresses to
// the IPv6 interface. That simplifies our code and is most
// general. Unfortunately, we need to run on kernels built without

  TF_DeleteStatus(s);
  return NULL;
}

// A compute function. This will never actually get called in this test, it's
// just nice to know that it compiles.
void compute(void* kernel, TF_OpKernelContext* ctx) {
  TF_Tensor* input;
  TF_Status* s = TF_NewStatus();
  TF_GetInput(ctx, 0, &input, s);
  TF_DeleteTensor(input);
  TF_DeleteStatus(s);
}

// Exercises tensorflow's C API.

    });
  }
}

void XlaDevice::Compute(OpKernel* op_kernel, OpKernelContext* context) {
  VLOG(2) << "XlaDevice::Compute " << op_kernel->name() << ":"
          << op_kernel->type_string();
  ShowXlaDeviceDeprecationWarning(jit_device_name_.type_string());
  op_kernel->Compute(context);
}

void XlaDevice::ComputeAsync(AsyncOpKernel* op_kernel, OpKernelContext* context,

      std::optional<absl::string_view> tf_program = std::nullopt,
      double error_tolerance = 0.1) {
    // Expected result is calculated by evaluating using TF kernels. In some
    // cases, TF kernel behaves differently from lowered graph (e.g. Hybrid
    // ops). So we optionally use a different graph to calculate the expected
    // result.
    TF_ASSERT_OK_AND_ASSIGN(
        auto expected,

    .Attr("T: type")
    .Attr("enabled: bool")
    .Attr("func_name: string")
    .Attr("node_name: string")
    .SetIsStateful();

class DumpTensorOp : public OpKernel {
 public:
  explicit DumpTensorOp(OpKernelConstruction* ctx) : OpKernel(ctx) {
    string log_dir_path;
    string file_name;
    string func_name;
    string node_name;
    OP_REQUIRES_OK(ctx, ctx->GetAttr("log_dir_path", &log_dir_path));