nvidia.dali.fn.readers#

Operators in this module are data-producing operators that read data from storage or a different source, and where the data locations are known at pipeline construction time via arguments. For data readers that are able to read from sources specified dynamically via regular inputs, see nvidia.dali.fn.io module.

See also

Examples covering how to load data using DALI readers and external source operator

The following table lists all operations available in nvidia.dali.fn.readers module:

Function	Device support	Short description
`readers.caffe`	CPU	Reads (Image, label) pairs from a Caffe LMDB.
`readers.caffe2`	CPU	Reads sample data from a Caffe2 Lightning Memory-Mapped Database (LMDB).
`readers.coco`	CPU	Reads data from a COCO dataset that is composed of a directory with images and annotation JSON files.
`readers.file`	CPU	Reads file contents and returns file-label pairs.
`readers.mxnet`	CPU	Reads the data from an MXNet RecordIO.
`readers.nemo_asr`	CPU	Reads automatic speech recognition (ASR) data (audio, text) from an NVIDIA NeMo compatible manifest.
`readers.numpy`	CPU, GPU	Reads Numpy arrays from a directory.
`readers.sequence`	CPU	Reads [Frame] sequences from a directory representing a collection of streams.
`readers.tfrecord`	CPU	Reads samples from a TensorFlow TFRecord file.
`readers.video`	GPU	Loads and decodes video files using FFmpeg and NVDECODE, which is the hardware-accelerated video decoding feature in the NVIDIA(R) GPU.
`readers.video_resize`	GPU	Loads, decodes and resizes video files with FFmpeg and NVDECODE, which is NVIDIA GPU’s hardware-accelerated video decoding.
`readers.webdataset`	CPU	A reader for the webdataset format.