MLSDK 0.5

Table of Contents:

  • 1. Getting Started
  • 2. Machine Learning Tutorial
  • 3. Porting Tutorial
  • 4. Advanced Features
  • 5. FAQ
  • 6. Technical Notes
  • 7. Hardware Specification
  • 8. Gallery
    • 8.1. API Examples
      • 8.1.1. Example: Adding Two Vectors
      • 8.1.2. Example: MNIST on MN-Core 2
      • 8.1.3. Example: Inference With A Model
      • 8.1.4. Example: Training With A Model
      • 8.1.5. Example: Using non-dict inputs and outputs with compile_automap
      • 8.1.6. Example: Taking A Profile
      • 8.1.7. Example: Explicitly Transferring Data Between Host And Device
      • 8.1.8. Example: Inference With Multiple Models
      • 8.1.9. Example: Load codegen_dir
      • 8.1.10. Example: Inference MNIST
      • 8.1.11. Example: Training MNIST
    • 8.2. Advanced Examples
      • 8.2.1. Example: timm Model Inference
      • 8.2.2. Example: Image Generation From Text Prompt
      • 8.2.3. Example: Large Language Model (LLM) Inference
      • 8.2.4. Example: Object Detection using SSD
      • 8.2.5. Example: Image Segmentation using DETR
      • 8.2.6. Example: Small Language Model (SLM) Supervised Fine-Tuning (SFT)
      • 8.2.7. Example: Recommendation using NCF
    • 8.3. Use Cases
  • 9. API Reference
MLSDK 0.5
  • 8. Gallery

8. Gallery

8.1. API Examples

You can view sample programs using the MLSDK API through the following link:

  • 8.1.1. Example: Adding Two Vectors
  • 8.1.2. Example: MNIST on MN-Core 2
  • 8.1.3. Example: Inference With A Model
  • 8.1.4. Example: Training With A Model
  • 8.1.5. Example: Using non-dict inputs and outputs with compile_automap
  • 8.1.6. Example: Taking A Profile
  • 8.1.7. Example: Explicitly Transferring Data Between Host And Device
  • 8.1.8. Example: Inference With Multiple Models
  • 8.1.9. Example: Load codegen_dir
  • 8.1.10. Example: Inference MNIST
  • 8.1.11. Example: Training MNIST

8.2. Advanced Examples

You can view application examples of the MLSDK API through the following link:

  • 8.2.1. Example: timm Model Inference
  • 8.2.2. Example: Image Generation From Text Prompt
  • 8.2.3. Example: Large Language Model (LLM) Inference
  • 8.2.4. Example: Object Detection using SSD
  • 8.2.5. Example: Image Segmentation using DETR
  • 8.2.6. Example: Small Language Model (SLM) Supervised Fine-Tuning (SFT)
  • 8.2.7. Example: Recommendation using NCF

8.3. Use Cases

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