SyNAP Manual

• Introduction
  • Online Model Conversion
  • Offline Model Conversion
  • NPU Hardware Capabilities
• Getting Started
  • synap_cli_ic application
  • synap_cli_od application
  • synap_cli_ip application
  • synap_cli_ic2 application
  • synap_cli application
  • synap_init application
  • Troubleshooting
• Using Online Inference
  • Online Inference with NNAPI
  • Benchmarking Models with NNAPI
  • NNAPI Compilation Caching
  • Disabling NPU Usage from NNAPI
  • Online Inference with TimVx delegate
  • Benchmarking Models with TimVx delegate
• Reference Models
  • Timings
    • Inference timings on VS680 and SL1680
    • Inference timings on VS640 and SL1640
  • Super Resolution
  • Format Conversion
• Statistics and Usage
  • inference_count
  • inference_time
  • networks
  • network_profile
  • Clearing statistics
  • Using /sysfs information
• Working with Models
  • Model Conversion
  • Installing Docker
    • Linux/Ubuntu
    • macOS - Docker
    • macOS - Colima
    • Windows
  • Installing SyNAP Tools
  • Running SyNAP Tools
  • Conversion Metafile
  • Preprocessing
    • type^(*)
    • size
    • crop
  • Model Quantization
    • Quantization Images Resize
    • Data Normalizaton
    • Quantization and Accuracy
    • Per-Channel Quantization
    • Mixed Quantization
  • Heterogeneous Inference
  • Model Conversion Tutorial
  • Model Profiling
  • Compatibility with SyNAP 2.x
  • Working with PyTorch Models
    • Importing YOLO PyTorch Models
• Framework API
  • Basic Usage
    • Network Class
    • Using a Network
  • Advanced Topics
    • Tensors
    • Buffers
    • Allocators
  • Advanced Examples
    • Accessing Tensor Data
    • Setting Buffers
    • Settings Default Buffer Properties
    • Buffer Sharing
    • Recycling Buffers
    • Using BufferCache
    • Copying and Moving
  • NPU Locking
    • NPU Locking
    • NNAPI Locking
    • Description
    • Sample Usage
  • Preprocessing and Postprocessing
    • InputData Class
    • Preprocessor Class
    • ImagePostprocessor Class
    • Classifier Class
    • Detector Class
  • Building Sample Code
• Neural Network Processing Unit Operator Support
  • Basic Operations
  • Activation Operations
  • Elementwise Operations
  • Normalization Operations
  • Reshape Operations
  • RNN Operations
  • Pooling Operations
  • Miscellaneous Operations
• Direct access in Android Applications