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) {

	// reflect the CPU capabilities. Assume that every Android arm device
	// has the necessary floating point hardware available.
	if GOOS == "android" {
		return
	}
	if cpu.HWCap&_HWCAP_VFP == 0 && goarmsoftfp == 0 {
		print("runtime: this CPU has no floating point hardware, so it cannot run\n")
		print("a binary compiled for hard floating point. Recompile adding ,softfloat\n")
		print("to GOARM.\n")
		exit(1)

                                             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 {};

import okhttp3.internal.SuppressSignatureCheck
import okhttp3.internal.platform.Platform

/**
 * Example of using a hardware key to perform client auth.
 * Prefer recent JDK builds, and results are temperamental to slight environment changes.
 * Different instructions and configuration may be required for other hardware devices.
 *
 * Using a yubikey device as a SSL key store.
 * https://lauri.võsandi.com/2017/03/yubikey-for-ssh-auth.html
 *

		print("runtime: this CPU has no floating point hardware, so it cannot run\n")
		print("a binary compiled for hard floating point. Recompile adding ,softfloat\n")
		print("to GOARM.\n")
		exit(1)
	}
	if goarm > 6 && cpu.HWCap&_HWCAP_VFPv3 == 0 && goarmsoftfp == 0 {
		print("runtime: this CPU has no VFPv3 floating point hardware, so it cannot run\n")

       * 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) {