# Supported Network Layers

Supported Network Layers

Qualcomm® Neural Processing SDK supports the network layer types listed in the table below.

See [Limitations](https://docs.qualcomm.com/doc/80-63442-2/topic/limitations.html) for
details on the limitations and constraints for the supported
runtimes and individual layer types.

All of supported layers in GPU runtime are valid for both of
GPU modes: GPU\_FLOAT32\_16\_HYBRID and GPU\_FLOAT16.
GPU\_FLOAT32\_16\_HYBRID - data storage is done in half float
and computation is done in full float.
GPU\_FLOAT16 - both data storage and computation is done in
half float.

A list of supported ONNX operations can be found at [ONNX Operator
Support](https://docs.qualcomm.com/doc/80-63442-2/topic/supported_onnx_ops.html#onnx_operator_support).

Converters Equivalent

- **COMMAND\_LINE** : indicates the Op is supported through command-line parameters provided during conversion and not as part of a source framework model. See the Source Framework’s converter help for more details.
- **INFERRED**: indicates Source Framework does not have a concrete definition for Op. However, converter pattern-matches a sequence of Ops to map to listed QNN Op.
- **—** : indicates there is no corresponding Source Framework Op, or the corresponding Op is not yet supported.

Runtime Support

- YES: Runtime has an implementation for Op.
- NO: Runtime does not have an implementation for Op.

Note : AIP Runtime supports all layers supported by the DSP runtime, as
layers not supported by HTA run on HVX.

Last Published: Oct 02, 2025

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