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Model yang Diuji
Bagian yang dapat dilipat berikut memberikan informasi tentang model pembelajaran mesin yang diuji oleh tim Amazon SageMaker Neo. Perluas bagian yang dapat dilipat berdasarkan kerangka kerja Anda untuk memeriksa apakah model telah diuji.
catatan
Ini bukan daftar lengkap model yang dapat dikompilasi dengan Neo.
Lihat Kerangka Kerja yang Didukung dan SageMaker Neo Operator yang Didukung
Model |
ARMV8 |
ARMMali |
Ambarella CV22 |
Nvidia |
Panorama |
TI TDA4VM |
Qualcomm 03 QCS6 |
X86_Linux |
X86_Windows |
---|---|---|---|---|---|---|---|---|---|
Alexnet |
|||||||||
Resnet50 |
X |
X |
X |
X |
X |
X |
X |
||
YOLOv2 |
X |
X |
X |
X |
X |
||||
YOLOv2_kecil |
X |
X |
X |
X |
X |
X |
X |
||
YOLOv3_416 |
X |
X |
X |
X |
X |
||||
YOLOv3_kecil |
X |
X |
X |
X |
X |
X |
X |
Model |
ARMV8 |
ARMMali |
Ambarella CV22 |
Nvidia |
Panorama |
TI TDA4VM |
Qualcomm 03 QCS6 |
X86_Linux |
X86_Windows |
---|---|---|---|---|---|---|---|---|---|
Alexnet |
X |
||||||||
Densenet121 |
X |
||||||||
DenseNet201 |
X |
X |
X |
X |
X |
X |
X |
X |
|
GoogLeNet |
X |
X |
X |
X |
X |
X |
X |
||
InceptionV3 |
X |
X |
X |
X |
X |
||||
MobileNet0,75 |
X |
X |
X |
X |
X |
X |
|||
MobileNet1.0 |
X |
X |
X |
X |
X |
X |
X |
||
MobileNetV2_0.5 |
X |
X |
X |
X |
X |
X |
|||
MobileNetV2_1.0 |
X |
X |
X |
X |
X |
X |
X |
X |
X |
MobileNetV3_Besar |
X |
X | X |
X |
X |
X |
X |
X |
X |
MobileNetV3_Kecil |
X |
X |
X |
X |
X |
X |
X |
X |
X |
ResNeSt50 |
X |
X |
X |
X |
|||||
ResNet18_v1 |
X |
X |
X |
X |
X |
X |
X |
||
ResNet18_v2 |
X |
X |
X |
X |
X |
X |
|||
ResNet50_v1 |
X |
X |
X |
X |
X |
X |
X |
X |
|
ResNet50_v2 |
X | X |
X |
X |
X |
X |
X |
X |
|
ResNext101_32x4d |
|||||||||
ResNext50_32x4d |
X |
X |
X |
X |
X |
X |
|||
SENet_154 |
X |
X |
X |
X |
X |
||||
SE_ 50_32x4d ResNext |
X |
X |
X |
X |
X | X |
X |
||
SqueezeNet1.0 |
X |
X |
X |
X |
X |
X |
X |
||
SqueezeNet1.1 |
X |
X |
X |
X |
X |
X |
X |
X |
|
VGG11 |
X |
X |
X |
X |
X |
X |
X |
||
Xception |
X |
X |
X |
X |
X |
X |
X |
X |
|
darknet53 |
X |
X |
X |
X |
X |
X |
X |
||
resnet18_v1b_0.89 |
X |
X |
X |
X |
X |
X |
|||
resnet50_v1d_0.11 |
X |
X |
X |
X |
X |
X |
|||
resnet50_v1d_0.86 |
X |
X |
X |
X |
X |
X |
X |
X |
|
ssd_512_mobilenet1.0_coco |
X |
X |
X |
X |
X |
X |
X |
||
ssd_512_mobilenet1.0_voc |
X |
X | X |
X |
X |
X |
X |
||
ssd_resnet50_v1 |
X |
X |
X |
X |
X |
X |
|||
yolo3_darknet53_coco |
X |
X |
X |
X |
X |
||||
yolo3_mobilenet1.0_coco |
X |
X |
X |
X |
X |
X |
X |
||
deeplab_resnet50 |
X |
Model |
ARMV8 |
ARMMali |
Ambarella CV22 |
Nvidia |
Panorama |
TI TDA4VM |
Qualcomm 03 QCS6 |
X86_Linux |
X86_Windows |
---|---|---|---|---|---|---|---|---|---|
densenet121 |
X |
X |
X |
X |
X |
X |
X |
X |
|
densenet201 |
X |
X |
X |
X |
X |
X |
X |
||
inception_v3 |
X |
X |
X |
X |
X |
X |
X |
||
mobilenet_v1 |
X |
X |
X |
X |
X |
X |
X |
X |
|
mobilenet_v2 |
X |
X |
X |
X |
X |
X |
X |
X |
|
resnet152_v1 |
X |
X |
X |
||||||
resnet152_v2 |
X |
X |
X |
||||||
resnet50_v1 |
X |
X |
X |
X |
X |
X |
X |
||
resnet50_v2 |
X |
X |
X |
X |
X |
X |
X |
X |
|
vgg16 |
X |
X |
X |
X |
X |
Model |
ARMV8 |
ARMMali |
Ambarella CV22 |
Nvidia |
Panorama |
TI TDA4VM |
Qualcomm 03 QCS6 |
X86_Linux |
X86_Windows |
---|---|---|---|---|---|---|---|---|---|
alexnet |
X |
||||||||
mobilenetv2-1.0 |
X |
X |
X |
X |
X |
X |
X |
X |
|
resnet18v1 |
X |
X |
X |
X |
|||||
resnet18v2 |
X |
X |
X |
X |
|||||
resnet50v1 |
X |
X |
X |
X |
X |
X |
|||
resnet50v2 |
X |
X |
X |
X |
X |
X |
|||
resnet152v1 |
X |
X |
X |
X |
|||||
resnet152v2 |
X |
X |
X |
X |
|||||
squeezenet1.1 |
X |
X |
X |
X |
X |
X |
X |
||
vgg19 |
X |
X |
Model |
ARMV8 |
ARMMali |
Ambarella CV22 |
Ambarella CV25 |
Nvidia |
Panorama |
TI TDA4VM |
Qualcomm 03 QCS6 |
X86_Linux |
X86_Windows |
---|---|---|---|---|---|---|---|---|---|---|
densenet121 |
X |
X |
X |
X |
X |
X |
X |
X |
X |
|
inception_v3 |
X |
X |
X |
X |
X |
X |
||||
resnet152 |
X |
X |
X |
X |
||||||
resnet18 |
X |
X |
X |
X |
X |
X |
||||
resnet50 |
X |
X |
X |
X |
X |
X |
X |
X |
||
squeezenet1.0 |
X |
X |
X |
X |
X |
X | ||||
squeezenet1.1 |
X |
X |
X |
X |
X |
X |
X |
X |
X |
|
yolov4 |
X |
X |
||||||||
yolov5 |
X |
X |
X |
|||||||
fasterrcnn_resnet50_fpn |
X |
X |
||||||||
maskrcnn_resnet50_fpn |
X |
X |