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  • Get Started
    • Quick Installation
    • Create Your First Experiment
    • How Determined Works
      • Introduction to Determined
      • System Architecture
    • Examples
  • Set Up
    • Quick Installation
    • Advanced Installation
      • Advanced Installation Requirements
      • Configuring InfiniBand
      • Kubernetes Versions
      • Set Up PostgreSQL
      • PostgreSQL Database Tuning
    • Deploy via MLDES
    • Deploy on Prem
      • Requirements
      • Options to Deploy on Prem
        • Install Determined Using det deploy
        • Install Determined Using Linux Packages
        • Install Determined Using Docker
        • Install Determined Using Homebrew (macOS)
        • Install Determined Using Windows Subsystem for Linux (Windows)
    • Deploy on AWS
      • Install Determined
      • Deploy Determined with Dynamic Agents
      • Use Spot Instances
    • Deploy on GCP
      • Install Determined
      • Deploy Determined with Dynamic Agents
    • Deploy on Kubernetes
      • Install Determined on Kubernetes
      • Set up and Manage an Azure Kubernetes Service (AKS) Cluster
      • Set up and Manage an AWS Kubernetes (EKS) Cluster
      • Set up and Manage a Google Kubernetes Engine (GKE) Cluster
      • Development Guide
      • Customize a Pod
      • Helm and Kubectl Command Examples
      • Configure Multiple Resource Managers
      • Manage Workspace-Namespace Bindings
      • Internal Task Gateway
      • Gateway API Implementations
      • Troubleshooting
    • Deploy on Slurm/PBS
      • Installation Requirements
      • HPC Launching Architecture
      • HPC Launcher Security Considerations
      • Install Determined on Slurm/PBS
      • Upgrade Determined on Slurm/PBS
      • Provide a Container Image Cache
      • Known Issues
    • Cluster Configuration
  • Manage
    • Historical Cluster Usage Data
    • Troubleshooting
    • Upgrade
    • User Accounts
    • Managing Remote Users
    • Workspaces and Projects
    • Binding Resource Pools to Workspaces
    • Security
      • OAuth 2.0 Configuration
      • OpenID Connect Integration
      • RBAC
      • SAML Integration
      • SCIM Integration
      • Transport Layer Security
  • Tutorials
    • Quickstart for Model Developers
    • Porting Your PyTorch Model to Determined
    • Get Started with Detached Mode
      • Simple Metrics Reporting
      • Save and Load States Using Checkpoints
      • Distributed Training With Sharded Checkpointing
      • Transition From Detached Mode
    • Viewing Epoch-Based Metrics in the WebUI
    • Using Pachyderm to Create a Batch Inferencing Pipeline
  • Model Hub Library
    • Hugging Face Transformers
    • MMDetection
  • Model Dev Guide
    • Create and Submit an Experiment
    • Debugging Models
    • Prepare Data
    • Managing the Job Queue
    • Profiling
    • API Guides
      • Torch Batch Processing API
      • Training APIs
        • Core API User Guide
        • Get Started with Core API
        • Keras API
        • PyTorch API
        • DeepSpeed API
    • Distributed Training with Determined
      • Distributed Training Concepts
      • Implementing Distributed Training
      • Configuration Templates
      • Reproducibility
    • Hyperparameter Tuning
      • Configure Hyperparameter Ranges
      • Handle Trial Errors and Early Stopping Requests
      • Hyperparameter Search Constraints
      • Instrument Model Code
      • Search Methods
        • Adaptive (Asynchronous) Method
        • Custom Search Methods
        • Grid Method
        • Random Method
        • Single Search Method
    • Model Management
      • Checkpoints
      • Organize Models in the Model Registry
    • Prepare Your Container Environment
      • Set Environment Images
      • Customize Your Environment
      • TensorFlow Support
  • Reference
    • Experiment Configuration Reference
    • Job Configuration Reference
    • Deployment Reference
      • Common Configuration Options
      • Master Configuration Reference
      • Agent Configuration Reference
      • Helm Chart Configuration Reference
    • Training Reference
      • det.core API Reference
      • det.pytorch.deepspeed API Reference
      • det API Reference
      • det.keras API Reference
      • det.pytorch API Reference
      • det.pytorch.samplers API Reference
    • Python SDK
      • Python SDK Example Workflows
      • Python SDK Client Module Reference
    • REST API
    • Determined CLI Reference
    • Model Hub APIs
      • MMDetection API
      • Transformers API
    • Customer Searcher Reference
  • Tools
    • CLI
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    • TensorBoard
    • WebUI
  • Integrations
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      • Pachyderm
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      • PyCharm
      • Visual Studio Code
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      • Zapier
    • Kubernetes Observability
    • Prometheus & Grafana
  • Open Source Licenses
Set Up Reference Dev Guide
Release Notes Blog

Training Reference

Contents

  • Python Modules APIs
  • Experiment Configuration File

Training Reference#

Python Modules APIs#

  • det

  • det.core

  • det.pytorch

  • det.pytorch.samplers

  • det.pytorch.deepspeed

  • det.keras

Experiment Configuration File#

  • Experiment Configuration Reference

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Helm Chart Configuration Reference

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det.core API Reference
Contents
  • Python Modules APIs
  • Experiment Configuration File

By HPE Machine Learning Development Environment

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