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Course Outline
Introduction to CANN and Ascend AI Processors
- Defining CANN and its role within Huawei’s AI compute stack.
- An overview of Ascend processor architectures, including models like 310 and 910.
- A summary of supported AI frameworks and the associated toolchain.
Model Conversion and Compilation
- Leveraging the ATC tool to convert models from TensorFlow, PyTorch, and ONNX.
- Generating and validating OM model files.
- Addressing unsupported operators and resolving common conversion challenges.
Deployment via MindSpore and Other Frameworks
- Deploying models using MindSpore Lite.
- Integrating OM models through Python APIs or C++ SDKs.
- Utilizing the Ascend Model Manager effectively.
Performance Optimization and Profiling
- Understanding optimizations related to AI Cores, memory management, and tiling.
- Profiling model execution using CANN tools.
- Best practices for enhancing inference speed and resource efficiency.
Error Handling and Debugging
- Identifying and resolving common deployment errors.
- Interpreting logs and utilizing error diagnosis tools.
- Conducting unit tests and functional validation for deployed models.
Edge and Cloud Deployment Scenarios
- Deploying to Ascend 310 for edge applications.
- Integrating with cloud-based APIs and microservices.
- Real-world case studies in computer vision and natural language processing (NLP).
Summary and Next Steps
Requirements
- Hands-on 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 commands and scripting.
Target Audience
- AI engineers focused on model deployment.
- Machine learning practitioners interested in 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 3200 € + VAT*
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