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Table of Contents

0.10.7

Get Started

Introduction
Installation
15 minutes to get started with MMEngine

Examples

Train a GAN
Train a Segmentation Model

Common Usage

Resume Training
Distributed Training
Speed up Training
Save Memory on GPU
Training Big Models
Better performance optimizers
Visualize Training Logs
Set Random Seed
Debug Tricks
Calculate the FLOPs and Parameters of Model
Setting the Frequency of Logging, Checkpoint Saving, and Validation
EpochBasedTraining to IterBasedTraining

Tutorials

Runner
Dataset and DataLoader
Model
Evaluation
OptimWrapper
Parameter Scheduler
Hook

Advanced tutorials

Registry
Config
BaseDataset
Data transform
Weight initialization
Visualization
Abstract Data Element
Distribution Communication
Logging
File IO
Global manager (ManagerMixin)
Use modules from other libraries
Test time augmentation
Model Complexity Analysis

Design

Hook
Runner
Evaluation
Visualization
Logging
Inference

Migration guide

Migrate Runner from MMCV to MMEngine
Migrate Hook from MMCV to MMEngine
Migrate Model from MMCV to MMEngine
Migrate parameter scheduler from MMCV to MMEngine
Migrate Data Transform to OpenMMLab 2.0

API Reference

mmengine.analysis
mmengine.registry
mmengine.config
mmengine.runner
mmengine._strategy
mmengine.hooks
mmengine.model
mmengine.optim
mmengine.evaluator
mmengine.structures
mmengine.dataset
mmengine.infer
mmengine.device
mmengine.hub
mmengine.logging
mmengine.visualization
mmengine.fileio
mmengine.dist
mmengine.utils
mmengine.utils.dl_utils

Notes

Changelog of v0.x
Contributing to OpenMMLab

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BaseInit
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BaseInit¶

class mmengine.model.BaseInit(*, bias=0, bias_prob=None, layer=None)[source]¶

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BaseInit
- BaseInit

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