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[QNN EP] QNN EP doc update #18399

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Nov 13, 2023
Merged

[QNN EP] QNN EP doc update #18399

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0eabf42
Update QNN doc to include more EP options
HectorSVC Nov 10, 2023
ab98feb
update format
HectorSVC Nov 10, 2023
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24 changes: 23 additions & 1 deletion docs/execution-providers/QNN-ExecutionProvider.md
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Expand Up @@ -74,6 +74,28 @@ The QNN Execution Provider supports a number of configuration options. The `prov
|'/path/to/context/cache'|string path to context cache binary|


|`provider_options_values` for `provider_options_keys = "qnn_context_embed_mode"`|Description|
|---|---|
|'0'|generate the QNN context binary into separate file, set path in ONNX file specified by qnn_context_cache_path.|
|'1'|generate the QNN context binary into the ONNX file specified by qnn_context_cache_path (default).|


|`provider_options_values` for `provider_options_keys = "qnn_context_priority"`|[Description](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/htp_yielding.html)|
|---|---|
|'low'||
|'normal'|default.|
|'normal_high'||
|'high'||


|`provider_options_values` for `provider_options_keys = "htp_graph_finalization_optimization_mode"`|Description|
|---|---|
|'0'|default.|
|'1'|faster preparation time, less optimal graph.|
|'2'|longer preparation time, more optimal graph.|
|'3'|longest preparation time, most likely even more optimal graph.|


## Usage
### C++
C API details are [here](../get-started/with-c.md).
Expand All @@ -94,4 +116,4 @@ sess = ort.InferenceSession(model_path, providers=['QNNExecutionProvider'], prov

### Inference example

[Image classification with Mobilenetv2 in CPP using QNN Execution Provider with QNN CPU & HTP Backend](https://github.com/microsoft/onnxruntime-inference-examples/tree/main/c_cxx/QNN_EP)
[Image classification with Mobilenetv2 in CPP using QNN Execution Provider with QNN CPU & HTP Backend](https://github.com/microsoft/onnxruntime-inference-examples/tree/main/c_cxx/QNN_EP/mobilenetv2_classification)
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