Jacinto 7 TIDL Release Notes
Version: 10.00.02, Date: Aug 12, 2024
Contents
- Introduction
- Licensing
- What's New
- Documentation
- Upgrade and Compatibility Information
- Device Support
- Validation Information
- Fixed Issues
- Known Issues
- Change Request
- Technical Support
- 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
Major new features in this release are:
- Support for centernet model
- Support for wrap mode of pad using slice and concat operators
- Support for partially batched networks (networks with part of network having multiple batches and remaining network as single batch)
- Mechanism for IP protection of generated model binary
- Optimization of TIDLRT-Create for boot time performance improvement
- Feature to keep code and documentation in sync for supported operators and their constraints by auto generation of such documentation
- Please refer to edgeai-tidl-tools for further details and known limitations on operator support
Upgrade and Compatibility Information
NA
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):
- ivision - 01_00
- MMALIB - 10_00_00_09
- PDK - CORE SDK 10_00_00
- C7x CGT - ti-cgt-c7000_4.1.0.LTS
Dependencies (NOT included in Processor SDK RTOS):
- GCC version 11.3.0 (In Ubuntu 22.04)
- OpenCV: 4.1.0 (for Test bench Only)
- Protobuf: 3.20.2 (for Import tool only)
- Flatbuffers : 1.12.0 (for Import tool only)
Fixed Issues
Refer here for all device specific bugs fixed in this release.
Known Issues
Refer here for all device specific known issues in this release.
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 | Additional Information |
|---|---|---|---|---|
| JACINTOREQ-7733 | Re-Prioritization of TIDL MRs for SDK 10.0 | 10.00.00 | 10.01.00 | DL Runtime Support in Ubuntu 22.04 Docker Containers on Target has been descoped |
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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