TI Deep Learning Product User Guide
TIDL Package Contents
Folder Description
/common Common utility APIs
/makerules Rules for building TIDL
/ti_dl/algo Source Files for TIDL Algorithm
/ti_dl/demos Source Files of C-API Demos using Open source runtimes
/ti_dl/docs Documents
/ti_dl/inc Algorithm Interface file
/ti_dl/lib Pre-Built Libraries
/ti_dl/onnxrt_EP Source Files of Onnx Runtime Execution provider
/ti_dl/rt Source Files of TIDL Runtime Shared library on Host
/ti_dl/tfl_delegate Source Files of tensorflow Lite Delegate library
/ti_dl/test/src Sample test application Source
/ti_dl/test/tflrt TFLite Python Out-of-the Box demo scripts
/ti_dl/test/onnxrt Onnx Runtime Python Out-of-the Box demo scripts
/ti_dl/test/tvm-dlr TVM/DLR Out Python of the Box demo scripts
/ti_dl/test/notebooks Ipython Notebooks to run pre-complied models on EVM
/ti_dl/test/testvecs/config/import Configuration Files for Import
/ti_dl/test/testvecs/config/infer Configuration Files for Inference
/ti_dl/test/testvecs/models Placeholder for Pre-trained Models
/ti_dl/test/testvecs/config/tidl_models Placeholder for Imported Models
/ti_dl/test/testvecs/input Sample Inputs for Sanity testing
/ti_dl/test/testvecs/output Placeholder for outputs
/ti_dl/test/testvecs/reference Reference outputs for Sample Models
/ti_dl/utils/perfsim TIDL Graph Compiler and Performance Simulation Tool
/ti_dl/utils/tidlModelImport TIDL Importer for importing Pre-trained Models
  • "algo" folder may not exist in release. TIDL is released with binary library only.