Index

A

accuracy_model_flops_chart() (in module mindvision.utils) accuracy_model_size_chart() (in module mindvision.utils) accuracy_on_dataset_chart_v1() (in module mindvision.utils) accuracy_on_dataset_chart_v2() (in module mindvision.utils)

accuracy_on_dataset_chart_v3() (in module mindvision.utils) adjust_channels() (mindvision.classification.models.MBConvConfig static method) adjust_depth() (mindvision.classification.models.MBConvConfig static method) apply_eval() (mindvision.engine.callback.ValAccMonitor method)

C

Cifar10 (class in mindvision.classification.dataset) Cifar100 (class in mindvision.classification.dataset) construct() (mindvision.classification.models.EfficientNet method) (mindvision.classification.models.LeNet5 method) (mindvision.classification.models.MBConv method) (mindvision.classification.models.ResidualBlock method) (mindvision.classification.models.ResidualBlockBase method) (mindvision.classification.models.ViT method)

D

default_transform() (mindvision.classification.dataset.Cifar10 method) (mindvision.classification.dataset.Cifar100 method) (mindvision.classification.dataset.FashionMnist method) (mindvision.classification.dataset.ImageNet method) (mindvision.classification.dataset.Mnist method)

download_and_extract_archive() (mindvision.classification.dataset.ParseCifar10 method) (mindvision.classification.dataset.ParseMnist method) download_dataset() (mindvision.classification.dataset.Cifar10 method) (mindvision.classification.dataset.Cifar100 method) (mindvision.classification.dataset.FashionMnist method) (mindvision.classification.dataset.Mnist method)

E

EfficientNet (class in mindvision.classification.models) efficientnet_b0() (in module mindvision.classification.models) efficientnet_b1() (in module mindvision.classification.models) efficientnet_b2() (in module mindvision.classification.models) efficientnet_b3() (in module mindvision.classification.models) efficientnet_b4() (in module mindvision.classification.models)

efficientnet_b5() (in module mindvision.classification.models) efficientnet_b6() (in module mindvision.classification.models) efficientnet_b7() (in module mindvision.classification.models) end() (mindvision.engine.callback.ValAccMonitor method) epoch_begin() (mindvision.engine.callback.LossMonitor method) epoch_end() (mindvision.engine.callback.LossMonitor method) (mindvision.engine.callback.ValAccMonitor method)

F

FashionMnist (class in mindvision.classification.dataset)

I

ImageNet (class in mindvision.classification.dataset) index2label (mindvision.classification.dataset.Cifar10 property) (mindvision.classification.dataset.Cifar100 property) (mindvision.classification.dataset.FashionMnist property) (mindvision.classification.dataset.ImageNet property) (mindvision.classification.dataset.Mnist property)

InvertedResidual (class in mindvision.classification.models)

L

lenet() (in module mindvision.classification.models)

LeNet5 (class in mindvision.classification.models) LossMonitor (class in mindvision.engine.callback)

M

MBConv (class in mindvision.classification.models) MBConvConfig (class in mindvision.classification.models) mindvision.classification.dataset module mindvision.classification.models module mindvision.engine.callback module mindvision.utils module

Mnist (class in mindvision.classification.dataset) mobilenet_v2() (in module mindvision.classification.models) MobileNetV2 (class in mindvision.classification.models) module mindvision.classification.dataset mindvision.classification.models mindvision.engine.callback mindvision.utils

P

parse_dataset() (mindvision.classification.dataset.ParseCifar10 method) (mindvision.classification.dataset.ParseImageNet method) (mindvision.classification.dataset.ParseMnist method) parse_devkit() (mindvision.classification.dataset.ParseImageNet method) ParseCifar10 (class in mindvision.classification.dataset)

ParseCifar100 (class in mindvision.classification.dataset) ParseFashionMnist (class in mindvision.classification.dataset) ParseImageNet (class in mindvision.classification.dataset) ParseMnist (class in mindvision.classification.dataset) pos_embedding_cosine_chart() (in module mindvision.utils)

R

read_dataset() (mindvision.classification.dataset.ImageNet method) ResidualBlock (class in mindvision.classification.models) ResidualBlockBase (class in mindvision.classification.models) ResNet (class in mindvision.classification.models) ResNet101 (class in mindvision.classification.models) resnet101() (in module mindvision.classification.models) ResNet152 (class in mindvision.classification.models)

resnet152() (in module mindvision.classification.models) ResNet18 (class in mindvision.classification.models) resnet18() (in module mindvision.classification.models) ResNet34 (class in mindvision.classification.models) resnet34() (in module mindvision.classification.models) ResNet50 (class in mindvision.classification.models) resnet50() (in module mindvision.classification.models)

S

step_begin() (mindvision.engine.callback.LossMonitor method)

step_end() (mindvision.engine.callback.LossMonitor method)

T

topn_accuracy_chart() (in module mindvision.utils)

V

ValAccMonitor (class in mindvision.engine.callback) ViT (class in mindvision.classification.models) vit_b_16() (in module mindvision.classification.models)

vit_b_32() (in module mindvision.classification.models) vit_l_16() (in module mindvision.classification.models) vit_l_32() (in module mindvision.classification.models)