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DataLoader

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Setup
Setup
- Quick Start
- Storage and Credentials
  Storage and Credentials
  - Storage and Credentials
  - Storage Options
  - Managed credentials
    Managed credentials
    
    Overview
    
    AWS
    AWS
    
    Enabling CORS in S3
    
    Provisioning Role-Based Access
    
    Azure
    Azure
    
    Enabling CORS in Azure
    
    Provisioning Federated Credentials
    
    Azure Workload Identities
    
    GCP
    GCP
    
    Enabling CORS in GCP
    
    Provisioning Federated Credentials
- User Authentication
User Guides
User Guides
Technical Details
Technical Details
Python API
Python API
- Dataset
- Querying
- Schema
- Types
- History
- DataLoader DataLoader
  Table of contents
  - PyTorch and TensorFlow DataLoaders

Table of contents

PyTorch and TensorFlow DataLoaders

DataLoader

PyTorch and TensorFlow DataLoaders

Tip

To create a standard PyTorch or TensorFlow DataLoader from a dataset, use deeplake.DatasetView.pytorch or deeplake.DatasetView.tensorflow which adapt a dataset or query result to the PyTorch or TensorFlow DataLoader API.