# 使用可用的 delegate 运行 TensorFlow Lite 模型

Source: [https://docs.qualcomm.com/doc/80-70014-54Y/topic/label-image-tool.html](https://docs.qualcomm.com/doc/80-70014-54Y/topic/label-image-tool.html)

TensorFlow Lite 开源框架提供了 Label Image 工具，以使用可用的 delegate 执行 TensorFlow Lite 模型。Label Image 工具的源代码可以在 [TensorFlow GitHub 存储库](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/examples/label_image)中找到。

Label Image 工具与 TensorFlow Lite 库一起交叉编译，并安装在目标设备上。

以下示例演示如何使用可用的 TensorFlow Lite delegate 执行 TensorFlow Lite 模型：

Note: 还可将 delegate 与标签图像工具一起使用。

- 要使用 XNNPACK delegate，运行以下命令：

        ssh root@[ip-addr]
        cd /opt
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        label_image -l /opt/mobilenet_v1_1.0_224/labels.txt -i /opt/grace_hopper.bmp -m /opt/mobilenet_v1_1.0_224_quant.tflite -c 10 -p 1 --xnnpack_delegate 1
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- 要使用 GPU delegate，运行以下命令：

        ssh root@[ip-addr]
        cd /opt
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        label_image -l /opt/mobilenet_v1_1.0_224/labels.txt -i /opt/grace_hopper.bmp -m /opt/mobilenet_v1_1.0_224_quant.tflite -c 10 -p 1 --gl_backend 1
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Figure : GPU delegate 创建的性能统计
            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)

## 对 TensorFlow Lite 模型性能进行基准测试

开源的 TensorFlow Lite 提供了一个工具，可以使用 delegate 对硬件上的模型执行进行基准测试。此工具可与设备上安装的其他工具一起使用。

该基准测试工具当前可测量并计算以下性能指标的统计数据：

- 初始化时间
- 预热状态的推理时间
- 稳定状态的推理时间
- 初始化期间的内存使用情况
- 总体内存使用情况

在开始之前，确保下载的模型位于 `/opt/` 目标设备上的目录。

要进行基准测试，执行以下操作：

- 要使用 XNNPACK delegate 对模型进行基准测试，运行以下命令：

        ssh root@[ip-addr]
        cd /opt/
        Copy to clipboard

        benchmark_model --graph=/opt/mobilenet_v1_1.0_224_quant.tflite --enable_op_profiling=true --use_xnnpack=true --num_threads=4 --max_secs=300 --pofiling_output_csv_file=/opt/mobilenet_v1_1.0_224_quant_xnnpack_performance.csvCopy to clipboard
- 要使用 GPU delegate 对模型进行基准测试，运行以下命令：

        ssh root@[ip-addr]
        cd /opt/
        Copy to clipboard

        benchmark_model --graph=/opt/mobilenet_v1_1.0_224_quant.tflite  --enable_op_profiling=true --use_gpu=true --num_runs=100 --warmup_runs=10 --max_secs=300 --profiling_output_csv_file==/opt/mobilenet_v1_1.0_224_GPU_Delegate_performance.csvCopy to clipboard

Figure : GPU 的基准模型工具统计
                ![](data:image/png;base64,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)

**Parent Topic:** [示例程序](https://docs.qualcomm.com/doc/80-70014-54Y/topic/sample-applications.html)

Last Published: Aug 06, 2024

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下载模型和示例图像](https://docs.qualcomm.com/bundle/publicresource/80-70014-54Y/topics/download-models-and-sample-images.md) [Next Topic
使用外部 delegate 接口运行 QNN delegate](https://docs.qualcomm.com/bundle/publicresource/80-70014-54Y/topics/run-qnn-delegate-using-the-external-delegate-interface.md)