KhronosGroup / KhronosGroup/Vulkan-Docs

Task list for VK_QCOM_data_graph_model release

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Description

Extends `VK_ARM_data_graph` to enable execution of QNN (Qualcomm Neural Network) models on the Qualcomm AI Engine — either the Hexagon NPU (`VK_PHYSICAL_DEVICE_DATA_GRAPH_PROCESSING_ENGINE_TYPE_NEURAL_QCOM`) or Adreno GPU — via data graph pipelines. Applications import pre-compiled model binaries as pipeline caches with a new `VK_PIPELINE_CACHE_HEADER_VERSION_DATA_GRAPH_QCOM` header, or select implementation-provided built-in models. Tensor inputs and outputs interoperate with GPU image processing through tensor/image memory aliasing, enabling end-to-end heterogeneous ML inference workflows within Vulkan.

The task list for the VK_QCOM_data_graph_model release is:

- [x] Vulkan Specification: https://docs.vulkan.org/refpages/latest/refpages/source/VK_QCOM_data_graph_model.html
- [ ] Validation layer: https://github.com/KhronosGroup/Vulkan-ValidationLayers/pull/11577

As each component is made public, the task will be checked off. When all tasks have been completed this issue will be closed and the extension will be fully released.

Contributor guide

Open the contributing guide

Research direction

Start with the unchecked Validation layer item and review the referenced Vulkan-ValidationLayers pull request (11577) to understand the remaining release work. Confirm the validation-layer component is publicly available, then update the task list when that work is complete.

Written by the indexing model from the issue text.

Assessment

Domain
devtools
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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