模型 | 代码 |
---|---|
SqueezeNet | code |
MobileNet_V1 | code |
MobileNet_V2 | code |
ShuffleNet | code |
mNASNet | code |
EfficientNet | code |
Inception_V3 | code |
Inception_V4 | code |
Inception_ResNet_V2 | code |
VGG16 | code |
ResNet_V1_101 | code |
ResNet_V2_101 | code |
UNet | code1/code2 |
MTCNN | code |
YOLO-V3 | code |
FALSR | code |
DCSCN | code |
Bert(albert) | code |
Bert(chinese_L-12_H-768_A-12) | code |
Bert(multi_cased_L-12_H-768_A-12) | code |
模型 | 代码 |
---|---|
SqueezeNet | code |
MobileNet_V1 | code |
MobileNet_V2 | code |
ShuffleNet_v2 | code |
InceptionV3 | code |
InceptionV4 | code |
mNASNet | code |
MTCNN | code |
Mobilenet_SSD | code |
ResNet18 | code |
ResNet50 | code |
Unet | code |
VGGNet | code |
FaceDetection | - |
【备注】代表源模型已无法获取。
注: 部分模型来源于PyTorch,PyTorch的转换可参考 pytorch_to_onnx.md
模型 | 来源 | operator version | 备注 |
---|---|---|---|
ResNet18 | torchvison.model.resnet18 | 9 | |
ResNet34 | torchvison.model.resnet34 | 9 | |
ResNet50 | torchvison.model.resnet50 | 9 | |
ResNet101 | torchvison.model.resnet101 | 9 | |
VGG11 | torchvison.model.vgg11 | 9 | |
VGG11_bn | torchvison.model.vgg11_bn | 9 | |
VGG19 | torchvison.model.vgg19 | 9 | |
DenseNet121 | torchvison.model.densenet121 | 9 | |
AlexNet | torchvison.model.alexnet | 9 | |
ShuffleNet | onnx official | 9 | |
Inception_V2 | onnx official | 9 | |
MobileNet_V2 | pytorch(personal practice) | 9 | |
mNASNet | pytorch(personal practice) | 9 | |
EfficientNet | pytorch(personal practice) | 9 | |
SqueezeNet | onnx official | 9 | |
Ultra-Light-Fast-Generic-Face-Detector-1MB | onnx_model | 9 | |
BERT | pytorch(huggingface) | 11 | 转换时需指定input shape,见文档Q3 |
GPT2 | pytorch(huggingface) | 11 | 转换时需指定input shape,见文档Q3 |
CifarNet | tensorflow | 9 | |
Fcos | pytorch(mmdetection) | 11 | |
Yolov3 | pytorch(mmdetection) | 11 | |
RetinaNet | pytorch(mmdetection) | 11 | |
FSAF | pytorch(mmdetection) | 11 | |
SSD | pytorch(mmdetection) | 11 | |
Faster R-CNN | pytorch(mmdetection) | 11 |
模型 | 代码 | 备注 |
---|---|---|
AlexNet | code | - |
MNasNet | code | - |
MobileNetV2 | code | - |
ResNet18 | code | - |
ShuffleNetV2 | code | - |
SqueezeNet | code | - |
VGG16 | code | - |
InceptionV3 | code | - |
DeepLabv3_ResNet50 | code | - |
FCN_ResNet50 | code | - |
CamembertForQuestionAnswering | code | 只支持trace模式 |
DPRContextEncoder | code | 只支持trace模式 |
ElectraModel | code | 只支持trace模式 |
FlaubertModel | code | 只支持trace模式 |
Roberta | code | 只支持trace模式 |
XLMRobertaForTokenClassification | code | 只支持trace模式 |
EasyOCR_detector | code | - |
EasyOCR_recognizer | code | - |
SwinTransformer | code | - |
BASNet | code | - |
DBFace | code | - |
模型 | 转换前代码 | 转换后代码 |
---|---|---|
StarGAN | code | code |
Ultra-Light-Fast-Generic-Face-Detector | code | code |