# qtimlsnpe
Source: [https://docs.qualcomm.com/doc/80-70020-50/topic/qtimlsnpe.html](https://docs.qualcomm.com/doc/80-70020-50/topic/qtimlsnpe.html)
The qtimlsnpe plugin shows the Qualcomm^®^ Neural Processing SDK
capabilities (load and run the models).
It accepts a tensor prepared by preprocessing elements such as qtimlvconverter and
produces an output tensor that's parsed by postprocessing plugins such as
qtimlvclassification, qtimlvdetection, qtimlvsegmentation, and qtimlvpose.
This plugin does the following:
- Accepts a tensor prepared by the preprocessing elements such as
qtimlvconverter.
- Produces the output tensor that's parsed by the postprocessing plugins such as
qtimlvclassification, qtimlvdetection, qtimlvsegmentation, and qtimlvpose.
- Uses the Qualcomm Neural Processing SDK library.
- Uses the ION/DMA buffers assigned by the GstMLBufferPool custom buffer pool class
through IOCTL commands to the kernel.
The model and delegate usage is as follows:
- To use a model, provide the absolute path of the model through the model
property.
For some models, you may have to set the extra layers
property.
After it's loaded, the model file provides the input and output
capabilities:
- Number of tensors
- Dimensions
- Type
- If a delegate isn't specified, the plugin executes the model operations on the
CPU.
- To select a different delegate, set the delegate property accordingly. For more
information, see the [Table : Element properties of qtimlsnpe](https://docs.qualcomm.com/doc/80-70020-50/topic/qtimlsnpe.html#qtimlsnpe__table_ids_q34_myb).
Figure : Tensor mode qtimlsnpe architecture
## Inheritance chain
[GObject](https://docs.gtk.org/gobject/) → [GstObject](https://gstreamer.freedesktop.org/documentation/gstreamer/gstobject.html?gi-language=c) → [GstElement](https://gstreamer.freedesktop.org/documentation/gstreamer/gstelement.html?gi-language=c) → [GstBaseTransform](https://gstreamer.freedesktop.org/documentation/base/gstbasetransform.html?gi-language=c) → GstMLSnpe
The following tables provide information on pad templates and element properties of
qtimlsnpe. For use cases, see [Qualcomm Neural Processing SDK use cases](https://docs.qualcomm.com/doc/80-70020-50/topic/qualcomm-neural-processing-sdk-use-cases.html).
## Pad configuration
| Pad Name | Capabilities | Capabilities | Capabilities |
| --- | --- | --- | --- |
| SINK template: 'sink'
| neural-network/tensors | type: | { (string)UINT8, (string)INT32, (string)FLOAT32 } |
## Element configuration
Table : Element properties of qtimlsnpe
| Property | Description |
| --- | --- |
| name | The name of the object.
flags: readable, writable
String. Default: "mlsnpe0"
|
| parent | The parent of the object.
flags: readable, writable
Object of type "GstObject"
|
| model | Model filename.
flags: readable, writable
String. Default: null
|
| delegate | Delegate the graph execution to another executor.
flags: readable, writable
Enum "GstMLSnpeDelegate" Default: 0, "none"
(0): none - No delegate, CPU is used for all operations
(1): dsp - Run the processing on the Hexagon DSP
(2): gpu - Run the processing on the Adreno GPU
(3): aip - Run the processing on Snapdragon AIX + HVX
|
| layers | List of output layers. Should be set if the model has more than one output.
flags: readable, writable
GstValueArray of GValues of type "gchararray"
|
**Parent Topic:** [Configure ML plugins](https://docs.qualcomm.com/doc/80-70020-50/topic/inferencing-plugins.html)
Last Published: Jan 30, 2026
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