Deploy Deep Learning Models

TVM is capable of deploying models to a variety of different platforms. These how-tos describe how to prepapre and deploy models to many of the supported backends.

Deploy the Pretrained Model on Adreno™

Deploy the Pretrained Model on Adreno™

Deploy the Pretrained Model on Adreno™ with tvmc Interface

Deploy the Pretrained Model on Adreno™ with tvmc Interface

Deploy the Pretrained Model on Android

Deploy the Pretrained Model on Android

Deploy the Pretrained Model on Jetson Nano

Deploy the Pretrained Model on Jetson Nano

Deploy the Pretrained Model on Raspberry Pi

Deploy the Pretrained Model on Raspberry Pi

Compile PyTorch Object Detection Models

Compile PyTorch Object Detection Models

Deploy a Framework-prequantized Model with TVM

Deploy a Framework-prequantized Model with TVM

Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)

Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)

Deploy a Quantized Model on Cuda

Deploy a Quantized Model on Cuda

Deploy a Hugging Face Pruned Model on CPU

Deploy a Hugging Face Pruned Model on CPU

Deploy Single Shot Multibox Detector(SSD) model

Deploy Single Shot Multibox Detector(SSD) model