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Course Outline
Introduction to Custom Operator Development for Government
- Why build custom operators? Use cases and constraints within government workflows
- CANN runtime structure and operator integration points for government applications
- Overview of TBE, TIK, and TVM in the Huawei AI ecosystem for government use
Using TIK for Low-Level Operator Programming for Government
- Understanding the TIK programming model and supported APIs for government projects
- Memory management and tiling strategy in TIK for enhanced government operations
- Creating, compiling, and registering a custom operator with CANN for government systems
Testing and Validating Custom Operators for Government
- Unit testing and integration testing of operators in the graph for government applications
- Debugging kernel-level performance issues for government use cases
- Visualizing operator execution and buffer behavior for government systems
TVM-Based Scheduling and Optimization for Government
- Overview of TVM as a compiler for tensor operations in government contexts
- Writing a schedule for a custom operator in TVM for government projects
- TVM tuning, benchmarking, and code generation for Ascend in government environments
Integration with Frameworks and Models for Government
- Registering custom operators for MindSpore and ONNX for government use
- Verifying model integrity and fallback behavior for government applications
- Supporting multi-operator graphs with mixed precision for government systems
Case Studies and Specialized Optimizations for Government
- Case study: high-efficiency convolution for small input shapes in government scenarios
- Case study: memory-aware attention operator optimization for government use
- Best practices in custom operator deployment across devices for government operations
Summary and Next Steps for Government
Requirements
- A strong understanding of artificial intelligence model internals and operator-level computation for government applications
- Experience with Python and Linux development environments for government projects
- Familiarity with neural network compilers or graph-level optimizers for government use
Audience
- Compiler engineers working on AI toolchains for government initiatives
- Systems developers focused on low-level AI optimization for government systems
- Developers building custom operations or targeting novel AI workloads for government applications
14 Hours
