Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:developed_by |
gptkb:NVIDIA
|
| gptkbp:enhances |
deep learning workflows
|
| gptkbp:has |
Python API
C++ API |
| gptkbp:has_feature |
image resizing
video decoding video resizing asynchronous data loading image augmentation image decoding image normalization video augmentation |
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA DALI
|
| gptkbp:integrates_with |
gptkb:NVIDIA_Tensor_RT
gptkb:NVIDIA_NGC |
| gptkbp:is_available_for |
gptkb:Linux
gptkb:Docker gptkb:Windows |
| gptkbp:is_available_on |
gptkb:Git_Hub
|
| gptkbp:is_compatible_with |
gptkb:Tensor_Flow
gptkb:NVIDIA_GPUs gptkb:Py_Torch |
| gptkbp:is_designed_for |
high-performance computing
|
| gptkbp:is_documented_in |
NVIDIA Developer Documentation
|
| gptkbp:is_featured_in |
NVIDIA webinars
|
| gptkbp:is_optimized_for |
NVIDIA hardware
|
| gptkbp:is_part_of |
gptkb:NVIDIA_AI_platform
NVIDIA AI ecosystem NVIDIA's deep learning toolkit |
| gptkbp:is_promoted_by |
NVIDIA conferences
|
| gptkbp:is_supported_by |
NVIDIA community
|
| gptkbp:is_used_by |
data scientists
machine learning engineers |
| gptkbp:is_used_in |
research projects
production environments machine learning tasks computer vision tasks |
| gptkbp:offers |
dynamic data augmentation
multi-threaded data loading |
| gptkbp:provides |
custom operators
image processing functions data pipeline optimization video processing functions |
| gptkbp:purpose |
data loading and augmentation
|
| gptkbp:released_in |
gptkb:2018
|
| gptkbp:supports |
GPU acceleration
multi-GPU training |
| gptkbp:uses |
gptkb:NVIDIA_GPUs
|
| gptkbp:written_in |
gptkb:C++
|
| gptkbp:bfsParent |
gptkb:CUDA
gptkb:NVIDIA |
| gptkbp:bfsLayer |
4
|