return absl::OkStatus();
        });

    // Register the corresponding fake op kernel.
    const char* node_name = opdef.name().c_str();
    const char* op_name = opdef.name().c_str();
    const char* device_name = "CPU";
    static auto fake_compute_func = [](void* kernel, TF_OpKernelContext* ctx) {
    };

    TF_KernelBuilder* builder =

  }
}

LogicalResult DeviceTarget::RegisterKernel(
    llvm::StringRef kernel, const KernelSpecs::Signature& signature,
    const ScaleFn& fn, const ScaleDecomposeFn& dfn) {
  return specs_[kernel].Add(signature, {ScaleConstraintType::CustomScale, fn});
}

namespace ph = std::placeholders;

LogicalResult DeviceTarget::RegisterKernel(
    llvm::StringRef kernel, const KernelSpecs::Signature& signature,

# Only include debug info for files under tensorflow/, excluding kernels, to
# reduce the size of the debug info in the binary. This is because if the debug
# sections in the ELF binary are too large, errors can occur. See
# https://github.com/tensorflow/tensorflow/issues/48919.
# Users can still include debug info for a specific kernel, e.g. with:
#     --config=dbg --per_file_copt=+tensorflow/core/kernels/identity_op.*@-g

# NFTables kube-proxy

This is an implementation of service proxying via the nftables API of
the kernel netfilter subsystem.

## General theory of netfilter

Packet flow through netfilter looks something like:

```text
             +================+      +=====================+
             | hostNetwork IP |      | hostNetwork process |
             +================+      +=====================+
                         ^                |

type utsname struct {
	Sysname  [257]byte
	Nodename [257]byte
	Release  [257]byte
	Version  [257]byte
	Machine  [257]byte
}

// KernelVersion returns major and minor kernel version numbers
// parsed from the syscall.Uname's Version field, or (0, 0) if the
// version can't be obtained or parsed.
func KernelVersion() (major int, minor int) {
	var un utsname

// Whether this type is allowed to have a TF2XLA fallback.
bool IsOpAllowedTf2xlaFallback(const TypeID& type_id);

// Whether this type is Preferred to use a TF2XLA fallback kernel when using
// the MLIR bridge. If this is true, then the TF2XLA fallback kernel will be
// used over the MLIR lowering.
bool IsOpAllowedTf2xlaPreferred(const TypeID& type_id);

}  // namespace mhlo
}  // namespace mlir

	sysTCP_KEEPINTVL = 0x101
	sysTCP_KEEPCNT   = 0x102
)

func setKeepAliveIdle(fd *netFD, d time.Duration) error {
	if d == 0 {
		d = defaultTCPKeepAliveIdle
	} else if d < 0 {
		return nil
	}

	// The kernel expects seconds so round to next highest second.
	secs := int(roundDurationUp(d, time.Second))
	err := fd.pfd.SetsockoptInt(syscall.IPPROTO_TCP, syscall.TCP_KEEPALIVE, secs)
	runtime.KeepAlive(fd)

### Linux {#linux}

<!-- go.dev/issue/67001 -->
Go 1.23 is the last release that requires Linux kernel version 2.6.32 or later. Go 1.24 will require Linux kernel version 3.17 or later, with an exception that systems running 3.10 or later will continue to be supported if the kernel has been patched to support the getrandom system call.

### OpenBSD {#openbsd}

<!-- go.dev/issue/55999, CL 518629, CL 518630 -->

#         "//tensorflow/core/kernels/image:extract_image_patches_op",
#         "//tensorflow/core/kernels/image:extract_volume_patches_op",
#         "//tensorflow/core/kernels/image:mirror_pad_op",
#         "//tensorflow/core/kernels/linalg:matrix_band_part_op",
#         "//tensorflow/core/kernels/linalg:matrix_diag_op",
#         "//tensorflow/core/kernels/linalg:matrix_set_diag_op",
#     ],

import (
	"runtime"
	"syscall"
	"time"
)

func setKeepAliveIdle(fd *netFD, d time.Duration) error {
	if d == 0 {
		d = defaultTCPKeepAliveIdle
	} else if d < 0 {
		return nil
	}

	// The kernel expects seconds so round to next highest second.
	secs := int(roundDurationUp(d, time.Second))
	err := fd.pfd.SetsockoptInt(syscall.IPPROTO_TCP, syscall.TCP_KEEPIDLE, secs)
	runtime.KeepAlive(fd)