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feat(linux): Switch from Neo-AI-DLR to TVM-RT #581

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Merged
cshilwant merged 2 commits into from
Dec 15, 2025
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feat(linux): Switch from Neo-AI-DLR to TVM-RT #581

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276e3e3
feat(linux): Switch from Neo-AI-DLR to TVM-RT
cshilwant Dec 12, 2025
ae25c19
ci: vocabs: Add TFLite, ONNX & TVM to accept.txt
cshilwant Dec 15, 2025
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3 changes: 3 additions & 0 deletions .github/styles/config/vocabularies/PSDK/accept.txt
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Expand Up @@ -30,3 +30,6 @@ mmdebstrap
bdebstrap
fdisk
umount
TFLite
ONNX
TVM
6 changes: 3 additions & 3 deletions source/linux/index_Edge_AI.rst
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@@ -1,10 +1,10 @@
*******
#######

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[vale] reported by reviewdog 🐶
[RedHat.ReadabilityGrade] Simplify your language. The calculated Flesch–Kincaid grade level of 15.20 is above the recommended reading grade level of 9.

Raw Output:
{"message": "[RedHat.ReadabilityGrade] Simplify your language. The calculated Flesch–Kincaid grade level of 15.20 is above the recommended reading grade level of 9.", "location": {"path": "source/linux/index_Edge_AI.rst", "range": {"start": {"line": 1, "column": 1}}}, "severity": "INFO"}
Edge AI
*******
#######

The SDK provides software and tools to let the users effectively balance deep learning performance with system power and cost on Texas Instrument’s processors for edge AI applications. We offer a practical embedded inference solution for next-generation vehicles, smart cameras, edge AI boxes, and autonomous machines and robots. In addition to general purpose micro processors, AM62Ax has integrated micro controllers, DSP, and accelerators for neural network, image, vision, and multimedia processing. With a few simple steps one can run high performance computer vision and deep learning demos using a live camera and display.

The SDK also enables an interplay of multiple open-source components such as GStreamer, OpenVx, OpenCV and deep learning runtime such as TFLite, ONNX and Neo-AI DLR. The reference applications showcase perception based examples such as image classification, object detection and semantic segmentation in both Python and C++ variants. The SDK supports edit-build-debug cycles directly on the target and also on PC to cross compile and build the applications.
The SDK also enables an interplay of multiple open-source components such as GStreamer, OpenVx, OpenCV and deep learning runtime such as TFLite, ONNX and TVM-RT. The reference applications showcase perception based examples such as image classification, object detection and semantic segmentation in both Python and C++ variants. The SDK supports edit-build-debug cycles directly on the target and also on PC to cross compile and build the applications.

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[RedHat.Hyphens] Use 'open source' rather than 'open-source'.

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{"message": "[RedHat.Hyphens] Use 'open source' rather than 'open-source'.", "location": {"path": "source/linux/index_Edge_AI.rst", "range": {"start": {"line": 7, "column": 50}}}, "severity": "WARNING"}

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[RedHat.SimpleWords] Use simple language. Consider using 'many' rather than 'multiple'.

Raw Output:
{"message": "[RedHat.SimpleWords] Use simple language. Consider using 'many' rather than 'multiple'.", "location": {"path": "source/linux/index_Edge_AI.rst", "range": {"start": {"line": 7, "column": 41}}}, "severity": "INFO"}

.. ifconfig:: CONFIG_part_family in ('AM62AX_family')

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