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docs: Update ML library versions and documentation#651

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PrathamTI wants to merge 1 commit intoTexasInstruments:masterfrom
PrathamTI:update_docs
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docs: Update ML library versions and documentation#651
PrathamTI wants to merge 1 commit intoTexasInstruments:masterfrom
PrathamTI:update_docs

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@PrathamTI
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This commit updates the ML library versions and documentation

  • Update ARM Compute Library from 24.12 to 52.7.0
  • Update Arm NN from 24.11 to 26.01
  • Update NNStreamer from 2.4.2 to 2.6.0
  • Update ONNX Runtime from 1.20.1 to 1.23.2
  • Update TensorFlow Lite from 2.18.0 to 2.20.0
  • Refresh all test outputs and benchmark results
  • Add ML components to AM62DX documentation TOC
  • Update component table with latest library information

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@cshilwant cshilwant left a comment

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Did you build test this patch locally & checked the HTML outputs? - https://github.com/TexasInstruments/processor-sdk-doc?tab=readme-ov-file#issue-make

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PrathamTI commented Apr 7, 2026

Did you build test this patch locally & checked the HTML outputs? - https://github.com/TexasInstruments/processor-sdk-doc?tab=readme-ov-file#issue-make

Yeah I tested it locally first.
logs: https://gist.github.com/PrathamTI/b6ae45cad4a588e24833366c77285573
After this i opened http://localhost:8080 in browser to verify it.

I'll update the PR according to your comments

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@PrathamTI please plan to re-spin a v2

This commit updates the ML library versions and documentation

- Update ARM Compute Library from 24.12 to 52.7.0
- Update Arm NN from 24.11 to 26.01
- Update NNStreamer from 2.4.2 to 2.6.0
- Update ONNX Runtime from 1.20.1 to 1.23.2
- Update TensorFlow Lite from 2.18.0 to 2.20.0
- Refresh all test outputs and benchmark results
- Add ML components to AM62DX documentation TOC
- Update component table with latest library information

Signed-off-by: Pratham Deshmukh <p-deshmukh@ti.com>
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@StaticRocket StaticRocket left a comment

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Caught one small issue


* Open source inference engine available from Arm.
* Runs on all Cortex-A ARM cores (AM3x, AM4x, AM5x, AM6x Sitara devices).
* Runs on all Cortex-A ARM cores (AM3x, AM4x,AM6x Sitara devices).
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Suggested change
* Runs on all Cortex-A ARM cores (AM3x, AM4x,AM6x Sitara devices).
* Runs on all Cortex-A ARM cores (AM3x, AM4x, AM6x Sitara devices).

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