Jacinto 7 TIDL Release Notes

Version: 08.02.00, Date: Mar 04, 2022

Contents

  1. Introduction
  2. Licensing
  3. What's New
  4. Documentation
  5. Upgrade and Compatibility Information
  6. Device Support
  7. Validation Information
  8. Fixed Issues
  9. Known Issues
  10. Change Request
  11. Technical Support
  12. Package Versioning

Introduction

This package contains Texas Instrument's Deep learning solution for J721E SoCs from the Jacinto 7 family

Licensing

The licensing information of this product, as well as any third-party components included which are made available under a number of other open-source licenses are enumerated as part of the manifest. Note : Below Links would work only after installing the package

Documentation

1 User's Guide [HTML]
2 Software Manifest [HTML]

What's New

Here are a few of the new features supported in this release:

  1. Performance improvement for NEO-DLR Runtime
  2. Runtime performance improvement for human pose estimation models
  3. Support for auto C7x code generation with TVM
  4. Removal of windows support

Upgrade and Compatibility Information

TIDL core library location has changed in this release. Please use below table to understand the change :
Library Name 08.01 release (Target Library) 08.02 release (Target Library) 08.01 release (PC Library) 08.02 release (PC Library)
tidl_algo.lib ti_dl/lib/dsp/algo/{TARGET_BUILD} ti_dl/lib/j721e/dsp/algo/{TARGET_BUILD} ti_dl/lib/PC/dsp/algo/{TARGET_BUILD} ti_dl/lib/j721e/PC/algo/{TARGET_BUILD}
tidl_obj_algo.lib ti_dl/lib/dsp/algo/{TARGET_BUILD} ti_dl/lib/j721e/dsp/algo/{TARGET_BUILD} ti_dl/lib/PC/dsp/algo/{TARGET_BUILD} ti_dl/lib/j721e/PC/algo/{TARGET_BUILD}
tidl_priv_algo.lib ti_dl/lib/dsp/algo/{TARGET_BUILD} ti_dl/lib/j721e/dsp/algo/{TARGET_BUILD} ti_dl/lib/PC/dsp/algo/{TARGET_BUILD} ti_dl/lib/j721e/PC/algo/{TARGET_BUILD}
tidl_custom.lib ti_dl/lib/dsp/algo/{TARGET_BUILD} ti_dl/lib/j721e/dsp/algo/{TARGET_BUILD} ti_dl/lib/PC/dsp/algo/{TARGET_BUILD} ti_dl/lib/j721e/PC/algo/{TARGET_BUILD}
Here:
  • TARGET_BUILD can take two values : release, debug

    • Device Support

    Target SoC Target Plaform Build environment (OS) Target environment (OS)
    J721E EVM x86_64 Linux PC x86_64 (Linux) NA

    Validation Information

    This release was built and validated using the following tools:

    Dependencies (included in Processor SDK RTOS):

    Dependencies (NOT included in Processor SDK RTOS):

    Refer User's Guide for instructions to install and setup above dependencies.

    Fixed Issues

    ID Description Module Affected Versions Affected Platforms
    [TIDL-1557] Sigmoid layer accuracy is not as per expectation COMPUTE 08.01.00,08.00.01, 08.00.00, 02.00.00 J721E
    [TIDL-1558] SSD prior box layer doesn't consume previous layer output dimension for box decoding COMPUTE 08.01.00,08.00.01, 08.00.00, 02.00.00 J721E
    [TIDL-1771] Networks with multiple inputs may give wrong output if the output order changes during import TOOL 08.00.00 J721E
    [TIDL-1794] Network output is missing from TIDL imported network if the same is consumed by other layers TOOL 08.01.00,08.00.00 J721E
    [TIDL-1833] Detection output layer is not working in float32 host emulation mode COMPUTE 08.01.00,08.00.01 J721E
    [TIDL-1855] TIDL Batch processing layer output is not correct on EVM when its output is in DDR COMPUTE 08.01.00,08.00.01 J721E
    [TIDL-1871] TIDL rawDataInElementType inconsistency with documentation DOCUMENTATION 08.01.00 J721E
    [TIDL-1877] Average pooling layer (3 x 3 stride 2) with padding 0 results in incorrect output for target (EVM) execution COMPUTE 08.01.00 J721E

    Known Issues

    ID Description Module Reported in Release Affected Platforms Occurrence Workaround in this release
    TIDL-864 Concat trace dump mismatch between REF & CN/CI COMPUTE 01.02.00 J721E Rare NA
    TIDL-1197 Model execution order for a branch is not optimal COMPUTE 01.02.00 J721E Rare No fucntional issue, Only Performance drop would be obsrved
    TIDL-1350 ShuffleNetV2 ONNX-RT accuracy is 2% below compared to TVM-RT COMPUTE 02.00.00 J721E Rare NA
    TIDL-1530 Processing on EVM gets stuck in case of "GEMM" layer in onnx model OSRT 02.00.00 J721E Rare set reservedCtrl=1 of TIDL_CreateParams

    For latest status of the issues and any new issues found post this release, please refer TI External software Incident Report. Issues on this product can be filtered with search query as project = EXT_EP AND issuetype in (Bug, Enhancement) AND Product ~ "TI Deep Learning Library"

    Change Request

    ID Description Original Fix Version New Fix Version
    JACINTOREQ-2432 Additional Performance Optimization for convolution layers 08.02.00 08.04.00
    JACINTOREQ-2433 Power estimation tool support in TI cloud is descoped 08.02.00 DESCOPE
    JACINTOREQ-2434 YUV422 input support in TIDL is descoped 08.02.00 DESCOPE
    JACINTOREQ-2435 Additional Performance Optimization for non-convolution layers 08.02.00 09.00.00

    Technical Support

    For technical support, please post your questions on TI E2E Forum for Processors.

    For additional assistance, contact local TI Field Application Engineer

    Package Versioning

    Each package version is composed of 4 period-delimited numbers - represented here by the letters M, m, p and b [M.m.p.b]. The table below provides a descriptive reference regarding package version numbering.

    Digit Meaning Description
    1 (M=Major) Major revision Incremented when the new version is substantially different from the previous For example, a new module added or an existing module's algorithm significantly altered.
    2 (m=minor) Minor revision Incremented when the new version has changed but not in a major way. For example, some minor changes in the API or feature set.
    3 (p=patch) Patch number Incremented for all other source code changes. This include any packaging support code.
    4 (b=build) Build number Incremented for each release delivery to CM. Reset for any change to M, m or p

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