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Course Outline
Introduction to CANN and Ascend AI Processors
- Definition of CANN and its role within Huawei’s AI compute stack.
- Overview of Ascend processor architecture, including models such as 310 and 910.
- Survey of supported AI frameworks and the associated toolchain.
Model Conversion and Compilation
- Utilizing the ATC tool for converting models from TensorFlow, PyTorch, and ONNX.
- Creating and validating OM model files.
- Addressing unsupported operators and resolving common conversion issues.
Deployment with MindSpore and Other Frameworks
- Deploying models using MindSpore Lite.
- Integrating OM models via Python APIs or C++ SDKs.
- Working effectively with the Ascend Model Manager.
Performance Optimization and Profiling
- Understanding optimizations related to AI Core, memory management, and tiling.
- Profiling model execution using CANN tools.
- Best practices for enhancing inference speed and resource efficiency.
Error Handling and Debugging
- Identifying common deployment errors and their resolutions.
- Reading logs and utilizing error diagnosis tools.
- Conducting unit testing and functional validation of deployed models.
Edge and Cloud Deployment Scenarios
- Deploying to Ascend 310 for edge computing applications.
- Integration with cloud-based APIs and microservices.
- Examination of real-world case studies in computer vision and NLP.
Summary and Next Steps
Requirements
- Experience with Python-based deep learning frameworks, such as TensorFlow or PyTorch.
- A solid understanding of neural network architectures and model training workflows.
- Basic proficiency with Linux CLI and scripting.
Target Audience
- AI engineers involved in model deployment.
- Machine learning practitioners focusing on hardware acceleration.
- Deep learning developers constructing inference solutions.
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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