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The Qualcomm Neural Processing SDK for artificial intelligence (AI) is engineered to help developers save time and effort in optimizing performance of trained neural networks on devices with Snapdragon. And as part of our Qualcomm AI Stack, it can help add a neural network on device without a need for connection to the cloud.
Premium tier Snapdragon mobile platforms have extensive heterogeneous computing capabilities that are engineered to allow the running of trained neural networks on device without a need for connection to the cloud. The Qualcomm Neural Processing SDK is designed to help developers run one or more neural network models trained in Caffe/Caffe2, ONNX, or TensorFlow on Snapdragon mobile platforms, whether that is the CPU, GPU or DSP.
The Qualcomm Neural Processing SDK does a lot of the heavy lifting needed to run neural networks on Snapdragon mobile platforms, which can help provide developers with more time and resources to focus on building new and innovative user experiences.
After designing and training, the model file needs to be converted into a ".dlc" (Deep Learning Container) file to be used by the Snapdragon NPE runtime. The conversion tool will output conversion statistics, including information about unsupported or non-accelerated layers, that the developer can use to adjust the design of the initial model. 2ff7e9595c
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