ORT 1.19.0 Release: Cherry-Pick Round 0 #21609
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### Description Masks off top 4-bits of INT4 weights, improving accuracy. ### Motivation and Context This is a workaround as the QNN docs state masking is not required.
### Description - Supports quantized Conv + Activation on the HTP backend: - Translates `DQs -> Conv -> Relu/Clip -> Q` into a single QNN Conv operator if the Relu (or Clip) are redundant. ### Motivation and Context Expands support for QDQ models created with tools that do not wrap Relu or Clip with QDQ nodes. This PR introduces the `IQnnNodeGroup` class. In the same way that a `NodeUnit` represents a collection of `Nodes`, a `IQnnNodeGroup` can represent one or more `NodeUnits` that are translated into a QNN operator. QNN EP parses the ONNX graph to create a list of `IQnnNodeGroup` objects, each representing a single `NodeUnit` or a fusion of multiple `NodeUnits`.
prathikr
changed the title
jywu-msft
approved these changes
Aug 3, 2024
tianleiwu
approved these changes
Aug 4, 2024
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Description
Critical changes required for an external developer (GeekBench)
Motivation and Context
ORT 1.19.0 Release Preparation