v2.6
Table of Contents
Overview
Installation
QuickStart
Auto (Hyper-parameter) Tuning
Write Trial
Tuners
Assessors
Training Platform
Overview
Local
Remote
OpenPAI
Kubeflow
AdaptDL
FrameworkController
DLTS
AML
PAI-DLC
Hybrid
Examples
WebUI
How to Debug
Advanced
HPO Benchmarks
Neural Architecture Search
Model Compression
Feature Engineering
References
Use Cases and Solutions
Research and Publications
FAQ
How to Contribute
Change Log
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Auto (Hyper-parameter) Tuning
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Introduction to NNI Training Services
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Introduction to NNI Training Services
ΒΆ
Overview
What is Training Service?
How to use Training Service?
Built-in Training Services
What does Training Service do?
Training Service Under Reuse Mode
Local
View experiment results
Using multiple local GPUs to speed up search
Remote
Requirements
Linux
Windows
Run an experiment
Configure python environment
OpenPAI
Setup environment
Run an experiment
OpenPai configurations
data management
version check
Kubeflow
Prerequisite for on-premises Kubernetes Service
Prerequisite for Azure Kubernetes Service
Design
Supported operator
Supported storage type
Run an experiment
version check
Kubeflow reuse mode
AdaptDL
Prerequisite for Kubernetes Service
Verify Prerequisites
Run an experiment
NFS Storage
Monitor via Log Stream
Monitor via TensorBoard
FrameworkController
Prerequisite for on-premises Kubernetes Service
Prerequisite for Azure Kubernetes Service
Prerequisite for PVC storage mode
Setup FrameworkController
Design
Example
How to run example
version check
FrameworkController reuse mode
DLTS
Setup Environment
AML
Setup environment
Run an experiment
Monitor your code in the cloud by using the studio
PAI-DLC
Setup environment
Run an experiment
Monitor your job
Hybrid
Setup environment
Run an experiment
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v: v2.6
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