NVIDIA DALI
0.31.0 -b6d638b
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User Guide

  • Installation
    • DALI and NGC
    • Installing prebuilt DALI packages
      • Prerequisites
      • Installation
        • DALI TensorFlow plugin (nvidia-dali-tf-plugin)
    • Pre-built packages in Watson Machine Learing Community Edition
    • Nightly and weekly release channels
      • Nightly builds
      • Weekly builds
  • Compiling DALI from source
    • Compiling DALI from source (using Docker builder) - recommended
      • Prerequisites
      • Building Python wheel and (optionally) Docker image
    • Compiling DALI from source (bare metal)
      • Prerequisites
      • Build DALI
        • Install Python bindings
      • Verify the build (optional)
        • Obtain test data
        • Set test data path
        • Run tests
      • Building DALI using Clang (experimental)
      • Optional CMake build parameters
    • Cross-compiling DALI C++ API for aarch64 Linux (Docker)
      • Setup
      • Build the aarch64 Linux Build Container
      • Compile
    • Cross-compiling DALI C++ API for aarch64 QNX (Docker)
      • Setup
      • Build the aarch64 Build Container
      • Compile
  • Platform support matrix
  • Getting started
    • Overview
    • Optimal configuration
    • Pipeline
      • Defining the pipeline
      • Building the pipeline
      • Running the pipeline
    • Adding augmentations
      • Random shuffle
      • Augmentations
      • Tensors as arguments and Random Number Generation
    • GPU acceleration
      • Copying tensors to GPU
        • Important notice
      • Hybrid decoding
  • Tutorials
    • General
      • Data Loading
        • ExternalSource Operator
        • Data Loading: LMDB Database
        • Data loading: MXNet recordIO
        • Data Loading: TensorFlow TFRecord
        • COCO Reader
      • DALI expressions and arithmetic operations
        • DALI Expressions and Arithmetic Operators
        • DALI Binary Arithmetic Operators - Type Promotions
        • Custom Augmentations with Arithmetic Operations
        • Conditional-Like Execution and Masking
      • Multiple GPU support
        • Overview
        • Run Pipeline on Selected GPU
        • Sharding
      • Erase Operator
      • Normalize Operator
        • Introduction
        • Using the Normalize Operator
        • Adjusting Output Dynamic Range
        • Externally Provided Parameters
        • Batch Normalization
      • Tensor Joining
        • Concatenation
        • Stacking
      • Reduction Operators
    • Custom Operations
      • Create a Custom Operator
        • Prerequisites
        • Operator Definition
        • CPU Operator Implementation
        • GPU operator implementation
        • Building the Plugin
        • Importing the plugin
      • Python Operators
        • Defining an Operation
        • Defining a Pipeline
        • Running the Pipeline and Visualizing the Results
        • Variety of Python Operators
        • Limitations of Python Operators
      • Processing GPU Data with Python Operators
        • CuPy Operations
        • Defining a Pipeline
        • Running the Pipeline and Visualizing the Results
        • Advanced: Device Synchronization in the DLTensorPythonFunction
    • Audio Processing
      • Audio Decoder in DALI
        • Step-by-step guide
        • Verification
      • Audio spectrogram
        • Background
        • Reference implementation
        • Calculating the spectrogram using DALI
        • Mel spectrogram
        • Mel-frequency cepstral coefficients (MFCCs)
    • Image Processing
      • Augmentation Gallery
      • BrightnessContrast Operator Example
        • Brighness and contrast adjustment
        • Step-by-step guide
      • Color Space Conversion
        • Defining the pipeline
        • Building and running the pipeline
        • Visualizing the results
      • Image Decoder examples (CPU)
        • Common code
        • Image Decoder (CPU)
        • Image Decoder (CPU) with random cropping window size and anchor
        • Image Decoder with fixed cropping window size and external anchor
        • Image Decoder (CPU) with external window size and anchor
      • Image Decoder (Hybrid)
        • Image Decoder (Hybrid) with random cropping window size and anchor
        • Image Decoder (Hybrid) with fixed cropping window size and external anchor
        • Image Decoder (Hybrid) with external window size and anchor
      • HSV Operator Example
        • Introduction
        • Step-by-step guide
      • Using HSV to implement RandomGrayscale operator
        • Using functional API
      • Interpolation methods
        • Downscaling
        • Upscaling
      • Resize operator
        • Output size parameters
        • Scaling modes
        • Region of Interest (RoI) processing
        • Fused flip
        • Input and output types
        • Subpixel scale
      • WarpAffine
        • Introduction
        • Usage example
        • Example output
      • 3D Transforms
        • Warp operators
        • Usage example
        • Example output
    • Math
      • Geometric Transforms
        • Affine Transform
        • Transform Catalogue
        • Case Study: Transforming Keypoints
        • Adding Transforms to the Pipeline
        • Combining Transforms
        • Keypoint Cropping
        • Transform Gallery
    • Sequence Processing
      • Simple Video pipeline reading from multiple files
        • Goal
        • Setting up
        • Running the pipeline
        • Visualizing the results
      • Video pipeline reading labelled videos from a directory
        • Goal
        • Setting up
        • Running the pipeline
        • Visualizing the results
      • Video pipeline demonstrating applying labels based on timestamps or frame numbers
        • Goal
        • Defining the pipeline
        • Visualizing the results
      • Simple Sequence pipeline reading from multiple files
      • Optical Flow example
        • Using Dali
    • Use Cases
      • Example VideoReader usage: Video Super-Resolution
        • Dataloaders
        • Data loader performance
        • Requirements
        • FlowNet2-SD implementation and pre-trained model
        • Data
        • Training
        • Results on Myanmar validation set
        • Reference
      • ImageNet training in PyTorch
        • Requirements
        • Training
        • Usage
      • Single Shot MultiBox Detector training in PyTorch
        • Requirements
        • Usage
      • ResNet-N with TensorFlow and DALI
        • Requirements
      • PaddlePaddle Use-Cases
        • ResNet training in PaddlePaddle
        • Single Shot MultiBox Detector training in PaddlePaddle
        • Temporal Shift Module inference in PaddlePaddle
      • MXNet with DALI - ResNet 50 example
        • Overview
        • ResNet 50 pipeline
        • Training with MXNet
      • COCO Reader with Augmentations
    • Advanced
      • Serialization
        • Overview
        • Serialization
  • Framework integration
    • MXNet
      • MXNet Plugin API reference
      • MXNet Framework
        • Gluon example with DALI
        • ExternalSource operator
        • Using MXNet DALI plugin: using various readers
    • PyTorch
      • PyTorch Plugin API reference
      • Pytorch Framework
        • Using DALI in PyTorch
        • ExternalSource operator
        • Using PyTorch DALI plugin: using various readers
        • Using DALI in PyTorch Lightning
    • TensorFlow
      • TensorFlow Plugin API reference
      • Tensorflow Framework
        • Using Tensorflow DALI plugin: DALI and tf.data
        • Using Tensorflow DALI plugin: DALI tf.data.Dataset with multiple GPUs
        • Using Tensorflow DALI plugin with sparse tensors
        • Using Tensorflow DALI plugin: simple example
        • Using Tensorflow DALI plugin: using various readers
    • PaddlePaddle
      • PaddlePaddle Plugin API reference
      • PaddlePaddle Framework
        • Using DALI in PaddlePaddle
        • ExternalSource operator
        • Using Paddle DALI plugin: using various readers
  • Python API
    • Pipeline
      • Pipeline class
        • Data processing graphs
        • Current pipeline
      • DataNode
    • Types
      • TensorList
        • TensorListCPU
        • TensorListGPU
      • Tensor
        • TensorCPU
        • TensorGPU
      • Data Layouts
        • Tensor Layout String format
        • Interpreting Tensor Layout Strings
      • Constant wrapper
        • Constant
      • Enums
        • DALIDataType
        • DALIIterpType
        • DALIImageType
        • SampleInfo
        • TensorLayout
        • PipelineAPIType
    • Functional API
      • Quick start
      • Interoperability with operator objects
      • Functions
    • Mathematical expressions
      • Type promotion rules
      • Supported arithmetic operations
      • Mathematical funcions
  • Supported operations
    • Reading this guide
    • Support Table
    • Operators Documentation
      • nvidia.dali.ops.transforms
      • nvidia.dali.ops.random
      • nvidia.dali.ops.segmentation
      • nvidia.dali.ops.reductions
      • nvidia.dali.ops
      • nvidia.dali.plugin.pytorch
    • Mathematical expressions
  • Advanced Topics
    • Thread Affinity
    • Memory Consumption
    • Operator Buffer Presizing
    • Prefetching Queue Depth
    • Running DALI pipeline
    • Sharding
    • C++ API
  • Release Notes
NVIDIA DALI
  • »
  • Python Module Index

Python Module Index

n
 
n
- nvidia
    nvidia.dali.fn
    nvidia.dali.fn.random
    nvidia.dali.fn.reductions
    nvidia.dali.fn.segmentation
    nvidia.dali.fn.transforms
    nvidia.dali.math
    nvidia.dali.ops
    nvidia.dali.ops.random
    nvidia.dali.ops.reductions
    nvidia.dali.ops.segmentation
    nvidia.dali.ops.transforms
    nvidia.dali.plugin.mxnet
    nvidia.dali.plugin.paddle
    nvidia.dali.plugin.pytorch
    nvidia.dali.plugin.pytorch.fn
    nvidia.dali.plugin.tf

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