auto hardware = GetTargetAnnotation(op);
      if (!hardware) return;
      float cost = GetCostForOp(op, *hardware);
      UpdateCost(op, cost, &builder);
    }
  });
}

}  // namespace

float GetCostForOp(Operation* op, const std::string& hardware) {
  auto* device_hardware = GetTargetHardware(hardware);
  if (device_hardware == nullptr) {

      }
    });
  }

  // Build the flatbuffer.
  std::vector<flatbuffers::Offset<flatbuffers::String>> hardwares;
  for (const auto& kv : *hardware_names) {
    hardwares.push_back(builder->CreateString(kv.first));
  }

  return CreateHardwareMetadata(*builder, builder->CreateVector(hardwares));
}

}  // namespace

std::optional<std::string> ExportRuntimeMetadata(mlir::ModuleOp module) {

                                             const std::string& hardware) {
  auto* devce_hardware = GetTargetHardware(hardware);
  if (devce_hardware == nullptr) return {context};
  return devce_hardware->GetTransformations(context);
}

bool IsSupported(Operation* op, const std::string& hardware) {
  auto* devce_hardware = GetTargetHardware(hardware);
  if (devce_hardware == nullptr) return {};

       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   
   -----------------------------------------------------------------------------------------------
   
   **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**
   

    ],
    alwayslink = 1,
)

tf_cc_binary(
    name = "example-hardware-translate",
    deps = [
        ":example_hardware",
        "//tensorflow/compiler/mlir/lite/experimental/tac:tac-translate-lib",
        "//tensorflow/compiler/mlir/lite/experimental/tac/hardwares:all-target-hardwares",
    ],

// Copyright 2020 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Package sysinfo implements high level hardware information gathering
// that can be used for debugging or information purposes.
package sysinfo

import (
	"internal/cpu"
	"sync"
)

var CPUName = sync.OnceValue(func() string {
	if name := cpu.Name(); name != "" {
		return name

          expected_subgraph_metadata->op_metadata()->GetAs<OpMetadata>(j);
      EXPECT_EQ(result_op_metadata->index(), expected_op_metadata->index());
      EXPECT_EQ(result_op_metadata->hardware(),
                expected_op_metadata->hardware());

      EXPECT_EQ(result_op_metadata->op_costs()->size(),
                expected_op_metadata->op_costs()->size());
      for (int i = 0; i < result_op_metadata->op_costs()->size(); ++i) {

//
// https://git.kernel.org/?p=linux/kernel/git/torvalds/linux-2.6.git;a=commit;h=b49c0f24cf6744a3f4fd09289fe7cade349dead5
//
TEXT cas<>(SB),NOSPLIT,$0
	MOVW	$0xffff0fc0, R15 // R15 is hardware PC.

TEXT ·Cas(SB),NOSPLIT|NOFRAME,$0
	MOVB	runtime·goarm(SB), R11
	CMP	$7, R11
	BLT	2(PC)
	JMP	·armcas(SB)
	JMP	kernelcas<>(SB)

TEXT kernelcas<>(SB),NOSPLIT,$0
	MOVW	ptr+0(FP), R2

//go:build (!amd64 && !s390x && !ppc64 && !ppc64le && !arm64) || purego

package aes

import (
	"crypto/cipher"
)

// newCipher calls the newCipherGeneric function
// directly. Platforms with hardware accelerated
// implementations of AES should implement their
// own version of newCipher (which may then call
// newCipherGeneric if needed).
func newCipher(key []byte) (cipher.Block, error) {
	return newCipherGeneric(key)

	allocationBase    uintptr
	allocationProtect uint32
	regionSize        uintptr
	state             uint32
	protect           uint32
	type_             uint32
}

// https://learn.microsoft.com/en-us/windows-hardware/drivers/ddi/wdm/ns-wdm-_osversioninfow
type _OSVERSIONINFOW struct {
	osVersionInfoSize uint32
	majorVersion      uint32
	minorVersion      uint32
	buildNumber       uint32
	platformId        uint32