Skip to main content

NPU Model Test Tool: vpm_run

tip

This document demonstrates how to use the model testing tool vpm_run on Allwinner T527/A733 series chips.

vpm_run is an edge-side program based on the VIPLite driver, primarily used for quick validation and testing of model files.

  • vpm_run serves as a universal model runtime environment that can run any properly deployed NBG model file.
  • vpm_run is built on the VIPLite network layer API.
  • vpm_run includes a default TOP5 post-processing program.

Download ai-sdk Example Repository

X86 PC / Device
git clone https://github.com/ZIFENG278/ai-sdk.git

Using vpm_run on the Board

Navigate to the vpm_run example code file directory path

Device
cd ai-sdk/examples/vpm_run

Compile the Example

Device
make AI_SDK_PLATFORM=a733
make install AI_SDK_PLATFORM=a733 INSTALL_PREFIX=./

Parameter description:

AI_SDK_PLATFORM: Specify SoC, optional a733, t527

INSTALL_PREFIX: Specify installation path

Usage

vpm_run -s sample.txt -l loop_run_count -d device_index
-s sample.txt: to include one ore more network binary graph (NBG) data file resource.
See sample.txt for details.
-l loop_run_count: the number of loop run network.
-d device_index: specify this NBG runs device.
-t time_out: specify milliseconds time out of network.
-b bypass_level: set value 1 to bypass saving output txt/binary file and showing top5.
--show_top5 level: set value 1 to show top5 when bypass_level is 0.
--save_txt level: set value 1 to save txt output when bypass_level is 0.
-c core_index: specify this start core index of device.
--layer_profile_dump: set value 1 to enable NPD function.
--preload: set value 1 to enable preload coeff into vipsram.
--op_segment: set which operations will be run. example: --op_segment 10,20 means run 10 ~ 20
--layer_dump: layer dump. eg: --layer_dump -1 dump all layer, --layer_dump 19, --layer_dump 18,20
-h : help
example: ./vpm_run -s sample.txt -l 10 -d 1 specify the NBG runs 10 times on device 1.

Run Example

  • Import environment variables
Device
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/rock/ai-sdk/viplite-tina/lib/aarch64-none-linux-gnu/v2.0 # NPU_SW_VERSION
tip

Specify NPU_SW_VERSION: use v2.0 for A733 and v1.13 for T527. Please refer to the NPU Version Comparison Table for NPU information.

  • Create Configuration File

    This example configuration file executes two NGB models. The first one is a multi-input model that saves output files and compares them with golden data, while the second one is a single-input model that does not save output files.

    [network]
    ./network_binary.nb
    [input]
    # For multi-input models, configure multiple input files; for single-input models, configure one input file.
    ./input_0.dat
    ./input_1.dat
    [golden]
    # Optional
    ./int8_output_003.dat
    [output]
    # Optional
    ./output_0.dat

    [network]
    ./network_binary_single.nb
    [input]
    ./input1.tensor

    The sample.txt file is shown above, with the main tags described as follows:

    • [network]: Path to the NBG file.
    • [input]: Path to the input data. Two formats are supported: input.tensor files generated during the Acuity Toolkits inference phase, or input.dat files generated during IDE tool simulation.
    • [golden]: Optional path to golden data. If the golden tag exists, it will be used for binary comparison with the tensor output from vpm_run. If they match, it will print 'pass'; if not, vpm_run will exit.
    • [output]: Optional. Path to save the output data.
  • Navigate to the example installation directory

    Device
    cd $INSTALL_PREFIX/etc/npu/vpm_run
    ./vpm_run -s sample.txt -l 1
    (.venv) rock@radxa-cubie-a7a:~/ai-sdk/examples/vpm_run/etc/npu/vpm_run$ ./vpm_run -s sample.txt -l 1
    loop_count=1, device_index=0, core_index=-1, file_name=sample.txt, time_out=0x0, bypass=1
    enable_npd=0, preload=0
    show_top50, save_txt=0
    init vip lite, driver version=0x00020003...
    VIPLite driver software version 2.0.3.2-AW-2024-08-30
    vip lite init OK.

    cid=0x1000003b, device_count=1
    device[0] core_count=1
    config file read network count=1
    init test resources, task_count: 1 ...
    create/prepare networks ...
    task i=0, binary name: ./network_binary.nb
    nbg name=./network_binary.nb
    create network 0: 12354 us.
    input 0 dim 3 224 224 1, data_format=5, quant_format=1, name=input/output[0], dfp=13
    output 0 dim 1000 1 0 0, data_format=1, name=uid_2_sub_uid_1_out_0, none-quant
    memory pool size=1073536byte
    network core count=1
    prepare network 0: 1409 us.
    golden file count=0
    input 0 name: ./input_0.dat
    read input and golden 0: 541 us.
    task: 0, loop count: 1
    start to run network=./network_binary.nb
    run time for this network 0: 3160 us.
    run network done...
    profile inference time=2945us, cycle=2916338
    destroy test resource task_count=1
    vpm run ret=0

    You need to be logged into GitHub to post a comment. If you are already logged in, please ignore this message.

    Radxa-docs © 2026 by Radxa Computer (Shenzhen) Co.,Ltd. is licensed under CC BY 4.0