# QAIRT Visualizer

Qualcomm AI Runtime (QAIRT) Visualizer là một công cụ toàn diện được thiết kế cho người dùng QAIRT SDK để khám phá trực quan kiến trúc và chỉ số runtime của model, bao gồm khả năng kết nối, nút và các tham số tensor. Công cụ này hỗ trợ trực quan hóa song song các ánh xạ toán tử giữa model nguồn ONNX và DLC khi được chuyển đổi bằng **Enable Framework Trace**. Công cụ này hỗ trợ nhiều định dạng model, bao gồm ONNX, TensorFlow, TFLite, DLC, PyTorch (phiên bản 1.x và 2.x) và ExecuTorch.

![../../_images/onnx_dlc_op_map.png](data:image/png;base64,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)

Ánh xạ ONNX sang DLC Op (Ví dụ về lớp toán tử `Add`)

Xem [QAIRT Visualizer](https://docs.qualcomm.com/bundle/publicresource/topics/80-87189-1/overview.html) để biết thêm chi tiết.

## Thiết lập

### Yêu cầu

- Windows-arm64 (10+)
- QAIRT SDK 2.39 trở lên
- Python AMD64 3.10.4

Chạy lệnh sau để cài đặt công cụ QAIRT Visualizer.

pip install qairt-visualizer
    Copy to clipboard

## Thành phần công cụ Qairt Visualizer

### CLI

- Công cụ QAIRT Visualizer có một tùy chọn CLI để dễ dàng trực quan hóa một hoặc nhiều model và/hoặc báo cáo một cách nhanh chóng.
- Xem [CLI QAIRT Visualizer](https://docs.qualcomm.com/bundle/publicresource/topics/80-87189-1/run-qairt-visualizer.html#run-qairt-visualizer-using-cli) để biết thêm chi tiết về tùy chọn CLI.

### Ứng dụng GUI độc lập

- Gói QAIRT Visualizer đi kèm với một ứng dụng GUI, cung cấp workspace để dễ dàng quản lý tệp phục vụ cho việc xem model và báo cáo.
- Ứng dụng UI đầy đủ được khởi chạy bằng cách chạy **qairt-visualizer** mà không có đối số.
- Xem [Ứng dụng UI](https://docs.qualcomm.com/doc/80-87189-1/topic/application-components.html) để biết thêm chi tiết về ứng dụng UI.

### Python API

- Công cụ QAIRT Visualizer đi kèm với một API Python để xem các model và báo cáo có thể được dùng trong phiên Python.
- API QAIRT Visualizer Python cũng hỗ trợ hiển thị các thành phần hình ảnh bên trong Jupyter Notebook.
- Xem [API Python](https://docs.qualcomm.com/bundle/publicresource/topics/80-87189-1/run-qairt-visualizer.html#run-qairt-visualizer-using-python) để biết thêm chi tiết về cách sử dụng API Python.

## Tính năng

- **Trực quan hóa model**: Khả năng xem kiến trúc model theo dạng đồ họa, bao gồm khả năng kết nối, nút và các tham số tensor.

    - QAIRT Visualizer cung cấp khả năng tìm kiếm mạng cho các nút và tensor, cùng với khả năng xếp chồng các kết quả về độ chính xác và hiệu suất.

![../../_images/Qairt_Visualizer_Exp.png](data:image/png;base64,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)

Trực quan hóa model mobilenet\_v2.dlc

- **Phân tích**: QAIRT Visualizer cung cấp các dạng trực quan hóa phân tích model khác nhau cho việc gỡ lỗi model

    - `Chỉ số hiệu suất`: Hiển thị thông tin profiling cho một lần chạy model trên runtime Qualcomm AI Stack nhất định. QAIRT Visualizer hiển thị các chỉ số này ở dạng biểu đồ, với khả năng định vị chi tiết profiling ở cập độ từng phép toán.
    - `Op-trace`: Mang đến khả năng trực quan hóa dữ liệu opstats cho một model, giúp người dùng nắm được những hạn chế về hiệu suất trong quá trình thực thi model AI.
    - `Tóm tắt phân tích HTP QNN`: Trực quan hóa báo cáo Tóm tắt phân tích HTP QNN (QHAS) JSON, cung cấp dữ liệu và biểu đồ dạng tóm tắt, thân thiện với người dùng về việc chạy model với runtime HTP.
    - Để biết thêm chi tiết về trực quan hóa phân tích, hãy xem [Xem số liệu phân tích](https://docs.qualcomm.com/bundle/publicresource/topics/80-87189-1/analysis.html).

**Các bước tiếp theo**

Sau khi sử dụng công cụ QAIRT Visualizer, hãy xem [Câu hỏi thường gặp về QNN](https://docs.qualcomm.com/doc/80-62010-1VI/topic/qnn-faqs.html#qnn-faqs) hoặc tìm hiểu phần [GenAI - LLM](https://docs.qualcomm.com/doc/80-62010-1VI/topic/gen-ai-llm.html#gen-ai-llm-options).

Last Published: Dec 16, 2025

[Previous Topic
QNN Optrace](https://docs.qualcomm.com/bundle/publicresource/80-62010-1VI/topics/qnn-optrace.md) [Next Topic
Câu hỏi thường gặp về QNN](https://docs.qualcomm.com/bundle/publicresource/80-62010-1VI/topics/qnn-faqs.md)