# UDO DSP tutorial on Windows for Quantized DLC ## Overview > > > This tutorial describes the steps needed to create a UDO package for DSP runtime and execute the Inception-V3 model > using the package. The Softmax operation has been chosen in this tutorial to demonstrate the > implementation of a UDO with Qualcomm® Neural Processing SDK. Also describe the offline cache generation for DSP V68. > > > The Qualcomm® Neural Processing SDK for Linux provides the resources for this example under > > > - $SNPE\_ROOT/examples/SNPE/NativeCpp/UdoExample/Softmax > > > > Information on UDO in general is available at [Overview of UDO](https://docs.qualcomm.com/doc/80-63442-10/topic/udo_overview.html). > > > Information on running the Inception-V3 network without UDO is available at > [Inception-V3 Tutorial on Windows](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_win.html) ## Prerequisites > > > The following tutorial assumes that general [Qualcomm (R) Neural Processing SDK setup](https://docs.qualcomm.com/doc/80-63442-10/topic/SNPE_general_setup.html) has been followed > to support SDK environment **on Linux**, TensorFlow environment, and desired platform dependencies. > The steps listed in this tutorial use the Tensorflow model in the form of inception\_v3\_2016\_08\_28\_frozen.pb. > For details on acquiring the Inception-V3 model visit [Tutorials Setup](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_setup.html) ## Introduction > > > Here are the steps to develop and run a UDO > > > 1.) [Generation on Linux](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo_dsp_win.html#step-1-package-generation-on-linux) > > > 2.) [Framework Model Conversion to a DLC on Linux](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo_dsp_win.html#step-2-4-prepare-dlc-and-udo-package-on-linux) > > > 3.) [Package Implementation on Linux](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo_dsp_win.html#step-2-4-prepare-dlc-and-udo-package-on-linux) > > > 4.) [Package Compilation on Linux](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo_dsp_win.html#step-2-4-prepare-dlc-and-udo-package-on-linux) > > > 5.) [Package Compilation on Windows](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo_dsp_win.html#step-5-package-compilation-on-windows) > > > 6.) [Model Execution on Windows](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo_dsp_win.html#step-6-model-execution-on-windows-devices) > > > UDO on Windows is largely similar to UDO on Linux, but only with few more steps required to be performed on Windows. > Here summarizes the workflow: > > - Step 1 is executed on Linux, and with an additional flag to generate CMakeLists.txt. > - Step 2-4 are executed on Linux, and basically the same as in [UDO DSP tutorial for Quantized DLC](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo_dsp.html). > - Step 5 is run on the x86\_64 **Windows** host to compile the package. > - Step 6 provides information on execution using the Qualcomm® Neural Processing SDK command-line executable snpe-net-run. ## Step 1: Package Generation on Linux > > > Similar to the Linux example, we use the config of v68 devices (Softmax\_Htp.json) as the UDO plugin in this example. > Please reference [Package Generation](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo.html#step-1-package-generation) for more information about the json and the detailed steps. > > > Generate the SoftmaxUdo Package using the following: > > > export SNPE_UDO_ROOT=$SNPE_ROOT/share/SNPE/SnpeUdo > export QNN_SDK_ROOT= > snpe-udo-package-generator -p $SNPE_ROOT/examples/SNPE/NativeCpp/UdoExample/Softmax/config/Softmax_Htp.json -o $SNPE_ROOT/examples/Models/InceptionV3/ --gen_cmakelists > Copy to clipboard > > > Please note that **\-\-gen\_cmakelists** is required for package compilation on Windows in Step 5. ## Step 2-4: Prepare DLC and UDO package on Linux > > > These steps are basically the same as in the Linux example. Please reference > > 1. Step 2: [Framework model Conversion to a DLC](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo_dsp.html#inceptionv3_udo_dsp_conversion) > 2. Step 3: [Package Implementations](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo_dsp.html#inceptionv3_udo_dsp_impl) > 3. Step 4: [Package Compilation](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo_dsp.html#inceptionv3_udo_dsp_compilation) ## Step 5: Package Compilation on Windows > > > Information for compiling package is available at [Compiling a UDO package for Windows](https://docs.qualcomm.com/doc/80-63442-10/topic/compiling_udo_package_for_windows.html) > > > Here are the instructions for this example: > > 1. Copy UDO package from Linux to Windows > 2. Open Developer Powershell for Visual Studio > 3. Execute the environment setup script, set the environment variable `$env:QNN_SDK_ROOT` and run CMake commands > > > > The expected artifact is > > - The UDO package registration library: SoftmaxUdoPackage/libs/arm64\_windows/UdoSoftmaxUdoPackageReg.dll ## Step 6: Model Execution on Windows Devices > > > **Execution using snpe-net-run** > > > Executing Inception-V3 for UDO is largely the same as use of [snpe-net-run](https://docs.qualcomm.com/doc/80-63442-10/topic/SNPE_general_tools.html#snpe-net-run) without UDO. > > > For UDO, snpe-net-run consumes the registration library through the \-\-udo\_package\_path option, and the following artifacts should also be placed on the target device. > > 1. Quantized dlc with UDO (for more information, please reference quantization for DSP V68 at **Hexagon DSP Execution** in [UDO DSP tutorial for Quantized DLC](https://docs.qualcomm.com/doc/80-63442-10/topic/tutorial_inceptionv3_udo_dsp.html#model-execution)) > 2. libUdoSoftmaxUdoPackageImplDsp.so (generated from Step 4) > 3. UdoSoftmaxUdoPackageReg.dll (generated from Step 5) Last Published: Jun 04, 2026 [Previous Topic UDO DSP tutorial for Quantized DLC](https://docs.qualcomm.com/bundle/publicresource/80-63442-10/topics/tutorial_inceptionv3_udo_dsp.md) [Next Topic UDO Tutorial With Weights](https://docs.qualcomm.com/bundle/publicresource/80-63442-10/topics/tutorial_onnx_udo_weights.md)