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 Duration 14 hours

Course Outline

Introduction to Custom Operator Development

  • Rationale for developing custom operators: operational use cases and system constraints
  • CANN runtime architecture and specific operator integration points
  • Overview of TBE, TIK, and TVM within the Huawei AI ecosystem

Utilizing TIK for Low-Level Operator Programming

  • Understanding the TIK programming model and associated API support
  • Memory management protocols and tiling strategies in TIK
  • Creation, compilation, and registration of custom operators within CANN

Testing and Validation of Custom Operators

  • Unit and integration testing of operators within the execution graph
  • Diagnosis and debugging of kernel-level performance bottlenecks
  • Visualization of operator execution flows and buffer behavior

TVM-Based Scheduling and Optimization

  • Overview of TVM as a compiler framework for tensor operations
  • Authoring schedules for custom operators using TVM
  • TVM tuning, benchmarking, and code generation for Ascend hardware

Integration with Frameworks and Models

  • Registration of custom operators for MindSpore and ONNX frameworks
  • Verification of model integrity and fallback mechanisms
  • Support for multi-operator graphs utilizing mixed precision

Case Studies and Specialized Optimizations

  • Case study: High-efficiency convolution for small input shapes
  • Case study: Memory-aware optimization of attention operators
  • Best practices for deploying custom operators across heterogeneous devices

Summary and Next Steps

Requirements

  • Proficient knowledge of AI model internals and operator-level computation
  • Experience with Python and Linux development environments
  • Familiarity with neural network compilers or graph-level optimizers

Audience

  • Compiler engineers working on AI toolchains
  • Systems developers focused on low-level AI optimization
  • Developers building custom operators or targeting novel AI workloads for government

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Upcoming Courses

Building Custom AI Operators with CANN TIK and TVM

2026-11-18 09:30
14 hours
Jersey City, NJ – Regus at Hudson Street
$ 2703 (Online)
$ 3903 (Classroom)

Building Custom AI Operators with CANN TIK and TVM

2026-12-02 09:30
14 hours
Little Rock, AZ - Regions Center
$ 2703 (Online)
$ 3903 (Classroom)

Building Custom AI Operators with CANN TIK and TVM

2026-12-16 09:30
14 hours
Fayetteville, AR - Pryor Center
$ 2703 (Online)
$ 3903 (Classroom)

Building Custom AI Operators with CANN TIK and TVM

2026-12-30 09:30
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 3903 (Classroom)

Building Custom AI Operators with CANN TIK and TVM

2027-01-13 09:30
14 hours
Wilmington, DE – Regus at Brandywine Building
$ 2703 (Online)
$ 3903 (Classroom)

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CANN