Overview
Description
This is an AI model conversion tool (DRP-AI Translator i8) for DRP-AI equipped products (INT8 architecture).
Please check the Release Notes and User's Manual first before using this product.
Functions
This is a tool for converting trained AI models in ONNX (Open Neural Network Exchange) format into an object format that can be executed by DRP-AI.
Development Environment
- CPU: x86_64
- Memory: >=6GB
- OS: Ubuntu 22.04
- Python: 3.10.x
Release Information
- 2025/12/26: DRP-AI Translator i8 v1.11
- 2025/6/30: DRP-AI Translator i8 v1.10
- 2025/3/11: DRP-AI Translator i8 v1.04
- 2024/10/31: DRP-AI Translator i8 v1.03
- 2024/5/31: DRP-AI Translator i8 v1.02
- 2024/2/29: DRP-AI Translator i8 v1.01
Target Devices
Downloads
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| Type | Title | Date |
| Software & Tools - Software | DRP-AI Translator i8 V1.11 Installer
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| Software & Tools - Software | DRP-AI Translator i8 V1.10 Installer
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| Software & Tools - Software | DRP-AI Translator i8 V1.04 Installer
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| Software & Tools - Software | DRP-AI Translator i8 V1.03 Installer
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| Software & Tools - Software | DRP-AI Translator i8 V1.02 Installer
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| Software & Tools - Software | DRP-AI Translator i8 V1.01 Installer
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6 items
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Documentation
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| Type | Title | Date |
| Manual - Software | DRP-AI Quantizer V1.3.1 User's Manual
DRP-AI Quantizer is a tool that quantizes trained AI models in ONNX format to INT8, enabling smaller model sizes and faster inference. When used together with RUHMI (DRP-AI TVM) and DRP-AI Translator i8, it enables the deployment of quantized models to the RZ/V2H or RZ/V2N. This manual provides a systematic explanation of supported devices, operating environment, setup, quantization procedures, accuracy evaluation methods, and important considerations during quantization.
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| Manual - Software | DRP-AI Translator i8 V1.11 User's Manual
DRP-AI Translator i8 is a tool that converts AI models in ONNX format into an executable format for DRP-AI. When used together with RUHMI (DRP-AI TVM) and DRP-AI Quantizer, it enables the deployment of AI models to the RZ/V2H or RZ/V2N. This manual systematically explains the operating environment, installation/uninstallation, supported ONNX operators, how to define pre-processing and post-processing, conversion execution procedures, error messages, and more.
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| Release Note | PDF 581 KB | |
| Manual - Software | DRP-AI Quantizer V1.3.0 User's Manual
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| Manual - Software | DRP-AI Translator i8 V1.10 User's Manual
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| Release Note | PDF 427 KB | |
| White Paper |
PDF
2.47 MB
日本語
, 简体中文
Demand for real-time AI in robots, cameras, and drones drives the need for advanced processing and power efficiency. The RZ/V series microprocessors feature a highly efficient AI accelerator (DRP-AI) designed for Vision AI applications. This paper overviews the latest RZ/V products and introduces technologies that optimize AI processing through hardware and software coordination.
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| Manual - Software | DRP-AI Translator i8 V1.04 User‘s Manual
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| Release Note | PDF 479 KB | |
| Manual - Software | DRP-AI Translator i8 V1.03 User's Manual
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| Release Note | PDF 547 KB | |
| Manual - Software | DRP-AI Quantizer V1.2.0 User's Manual
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| Manual - Software | DRP-AI Quantizer V1.0.2 User's Manual
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| Manual - Software | DRP-AI Translator i8 V1.0.2 User's Manual
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| Release Note | PDF 438 KB | |
| Manual - Software | PDF 1.80 MB | |
| Release Note | PDF 514 KB | |
| Manual - Software | PDF 1.83 MB | |
18 items
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Design & Development
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Support
Support Communities
- Error during the execution of DRP-AI_TRANSLATOR_i8 on RZV2H Name Error
Hello everyone, I currently have an error that I can't resolve when I try to compile the following translator file, run_translator_sample_resnet50.py, using Spyder. Here is the error I encounter: File ~/DRP-AI_Translator_i8/translator/UserConfig/sample_scripts/python_api ...
Sep 11, 2024 - Why do you cut "post-processing" in YoloX?
... In the second guide rzv_drp-ai_tvm/how-to/sample_app_v2h/app_yolox_cam at main · renesas-rz/rzv_drp-ai_tvm · GitHub you give use yolox_VOC.onnx here https://github.com/renesas-rz/rzv_drp-ai_tvm/ ...
Jan 13, 2025 - custom DRP function in the RZ/V2H environment
We are currently working on a mathematical model on the RZ/V2H platform where I perform element-wise operations (like multiplication and addition) between two 2D arrays using the DRP module and stores the result in a destination buffer. While we have a basic understanding of how DRP operations ...
Jun 3, 2025
Knowledge Base
- RZ Family: How to use the RZ/V2H DRP-AI Quantizer or AISDK without module not found issues?
... x SHLVL="1" declare -x TERM="xterm" declare -x TRANSLATOR="https://www.renesas.com/opt/DRP-AI_Translator_i8/translator/" declare -x TVM_HOME="https://www.renesas.com/drp-ai_tvm/tvm" declare -x TVM_ROOT="https://www.renesas.com/drp-ai_tvm" The key step is the Step5. this step installs the DRP-AI ...
Mar 2, 2026
Support Communities
