models directory contains scripts for the following models, which download the pretrained models, compile and deploy them using HALO on X86-CPU or NVGPU. Please refer to Instruction.md for more details about how to run the examples.
Model Class | Model Source | HALO Examples |
---|---|---|
AlexNet | PyTorch | models/vision/classification/alexnet |
CaffeNet | BVLC/Caffe | models/vision/classification/caffenet |
DenseNet-121 | PyTorch | models/vision/classification/densenet |
GoogleNet | PyTorch | models/vision/classification/googlenet |
Inception_V1 | ONNX | models/vision/classification/inception |
Inception_V3 | PyTorch | models/vision/classification/inception |
MNIST | TensorFlow Tutorial | models/vision/classification/mnist_simple |
MobileNet_V2 | PyTorch | models/vision/classification/mobilenet |
Resnet V1-18 | ONNX | models/vision/classification/resnet |
ResNet V2-50 | ONNX | models/vision/classification/resnet |
ResNet V2-101 | ONNX | models/vision/classification/resnet |
ShuffleNet | ONNX | models/vision/classification/shufflenet |
ShuffleNet_V2 | ONNX | |
SqueezeNet_10 | PyTorch | models/vision/classification/squeezenet |
SqueezeNet_11 | PyTorch | models/vision/classification/squeezenet |
VGG-16 | PyTorch | models/vision/classification/vgg |
VGG-19 | PyTorch | models/vision/classification/vgg |
Model Class | Model Source | HALO Examples |
---|---|---|
YOLO v3 | ONNX | models/vision/detection/yolo |
UNet | PyTorch | models/vision/segmentation/unet |