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) {

	HasASIMD    bool // Advanced SIMD (always available)
	HasEVTSTRM  bool // Event stream support
	HasAES      bool // AES hardware implementation
	HasPMULL    bool // Polynomial multiplication instruction set
	HasSHA1     bool // SHA1 hardware implementation
	HasSHA2     bool // SHA2 hardware implementation
	HasCRC32    bool // CRC32 hardware implementation
	HasATOMICS  bool // Atomic memory operation instruction set

                                             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**
   

// 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) {

			name: "client prefers AES-GCM, server doesn't have hardware AES (pick ChaCha)",
			clientCiphers: []uint16{
				TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,
				TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305,
				TLS_RSA_WITH_AES_128_CBC_SHA,
			},
			serverHasAESGCM: false,
			expectedCipher:  TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305,
		},
		{
			name: "client prefers AES-GCM, server has hardware AES (pick AES-GCM)",
			clientCiphers: []uint16{

The `GOARM64` environment variable defaults to `v8.0`.

### RISC-V {#riscv}

<!-- go.dev/issue/61476, CL 541135 -->

      return std::string("");
    }
    std::string concat_inference_device_type_string =
        ignore_inference_type_
            ? device_type.value().hardware
            : absl::StrCat(
                  device_type.value().hardware, "_",
                  GetInferenceString(device_type.value().inference_type));
    return concat_inference_device_type_string;
  };