View a markdown version of this page

Modelli testati - Amazon SageMaker AI

Le traduzioni sono generate tramite traduzione automatica. In caso di conflitto tra il contenuto di una traduzione e la versione originale in Inglese, quest'ultima prevarrà.

Modelli testati

Le seguenti sezioni pieghevoli forniscono informazioni sui modelli di machine learning testati dal team di Amazon SageMaker Neo. Espandi la sezione comprimibile in base al tuo framework per verificare se un modello è stato testato.

Nota

Questo non è un elenco completo di modelli che possono essere compilati con Neo.

Vedi Framework supportati e SageMaker AI Neo Supported Operators per scoprire se puoi compilare il tuo modello con SageMaker Neo.

Modelli  

ARM V8

ARM Mail

Ambarella CV22

Nvidia

Panorama

TI TDA4VM

Qualcomm QCS603

X86_Linux

X86_Windows

Alexnet

ResNet50

X

X

X

X

X

X

X

YOLOv2

X

X

X

X

X

YOLOv2_tiny

X

X

X

X

X

X

X

YOLOv3_416

X

X

X

X

X

YOLOv3_tiny

X

X

X

X

X

X

X

Modelli  

ARM V8

ARM Mail

Ambarella CV22

Nvidia

Panorama

TI TDA4VM

Qualcomm QCS603

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_Large

X

 X

X

X

X

X

X

X

X

MobileNetV3_Piccolo

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

Modelli  

ARM V8

ARM Mail

Ambarella CV22

Nvidia

Panorama

TI TDA4VM

Qualcomm QCS603

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

Modelli  

ARM V8

ARM Mail

Ambarella CV22

Nvidia

Panorama

TI TDA4VM

Qualcomm QCS603

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

Modelli  

ARM V8

ARM Mail

Ambarella CV22

Ambarella CV25

Nvidia

Panorama

TI TDA4VM

Qualcomm QCS603

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

TensorFlow

Modelli  

ARM V8

ARM Mail

Ambarella CV22

Ambarella CV25

Nvidia

Panorama

TI TDA4VM

Qualcomm QCS603

X86_Linux

X86_Windows

densenet201

X

X

X

X

X

X

X

X

X

inception_v3

X

X

X

X

X

X

X

X

mobilenet100_v1

X

X

X

X

X

X

X

mobilenet100_v2.0

X

X

X

X

X

X

X

X

mobilenet130_v2

X

X

X

X

X

X

mobilenet140_v2

X

X

X

X

X

X

X

X

resnet50_v1.5

X

X

X

X

X

X

X

resnet50_v2

X

X

X

X

X

X

X

X

X

squeezenet

X

X

X

X

X

X

X

X

X

mask_rcnn_inception_resnet_v2

X

ssd_mobilenet_v2

X

X

faster_rcnn_resnet50_lowproposals

X

rfcn_resnet101

X

TensorFlow.Keras

Modelli  

ARM V8

ARM Mail

Ambarella CV22

Nvidia

Panorama

TI TDA4VM

Qualcomm QCS603

X86_Linux

X86_Windows

DenseNet121

X

X

X

X

X

X

X

DenseNet201

X

X

X

X

X

X

InceptionV3

X

X

X

X

X

X

X

MobileNet

X

X

X

X

X

X

X

MobileNetv2

X

X

X

X

X

X

X

NASNetLarge

X

X

X

X

NASNetMobile

X

X

X

X

X

X

X

ResNet101

X

X

X

X

ResNet101 V 2

X

X

X

X

ResNet152

X

X

X

ResNet152 contro 2

X

X

X

ResNet50

X

X

X

X

X

X

ResNet50 V2

X

X

X

X

X

X

X

VGG16

X

X

X

X

Xception

X

X

X

X

X

X

X
TensorFlow-Lite (FP32)

Modelli  

ARM V8

ARM Mail

Ambarella CV22

Nvidia

Panorama

TI TDA4VM

Qualcomm QCS603

X86_Linux

X86_Windows

i.MX 8M Plus

densenet_2018_04_27

X

X

X

X

X

inception_resnet_v2_2018_04_27

X

X

 X

X

inception_v3_2018_04_27

X

X

X

X

X

inception_v4_2018_04_27

X

X

X

X

X

mnasnet_0.5_224_09_07_2018

X

X

X

X

X

mnasnet_1.0_224_09_07_2018

X

X

X

X

X

mnasnet_1.3_224_09_07_2018

X

X

X

X

X

mobilenet_v1_0.25_128

X

X

X

X

X

X

mobilenet_v1_0.25_224

X

X

X

X

X

X

mobilenet_v1_0.5_128

X

X

X

X

X

X

mobilenet_v1_0.5_224

X

X

X

X

X

X

mobilenet_v1_0.75_128

X

X

X

X

X

X

mobilenet_v1_0.75_224

X

X

X

X

X

X

mobilenet_v1_1.0_128

X

X

X

X

X

X

mobilenet_v1_1.0_192

X

X

X

X

X

X

mobilenet_v2_1.0_224

X

X

X

X

X

X

resnet_v2_101

X

X

X

X

squeezenet_2018_04_27

X

X

X

X

X

TensorFlow-Lite (INT8)

Modelli  

ARM V8

ARM Mail

Ambarella CV22

Nvidia

Panorama

TI TDA4VM

Qualcomm QCS603

X86_Linux

X86_Windows

i.MX 8M Plus

inception_v1

X

X

inception_v2

X

X

inception_v3

X

X

X

X

X

inception_v4_299

X

X

X

X

X

mobilenet_v1_0.25_128

X

X

X

X

mobilenet_v1_0.25_224

X

X

X

X

mobilenet_v1_0.5_128

X

X

X

X

mobilenet_v1_0.5_224

X

X

X

X

mobilenet_v1_0.75_128

X

X

X

X

mobilenet_v1_0.75_224

X

X

X

X

X

mobilenet_v1_1.0_128

X

X

X

X

mobilenet_v1_1.0_224

X

X

X

X

X

mobilenet_v2_1.0_224

X

X

X

X

X

deeplab-v3_513

X