oneAPI Deep Neural Network Library
GPTKB entity
Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software library
|
| gptkbp:aimsTo |
simplify development of AI applications
|
| gptkbp:availableIn |
Linux
Windows macOS |
| gptkbp:compatibleWith |
multiple hardware architectures
|
| gptkbp:developedBy |
gptkb:Intel
|
| gptkbp:has |
community support
|
| https://www.w3.org/2000/01/rdf-schema#label |
oneAPI Deep Neural Network Library
|
| gptkbp:includes |
activation functions
convolution operations normalization layers graph operations |
| gptkbp:integratesWith |
oneAPI toolkit
|
| gptkbp:isAvailableIn |
open-source license
|
| gptkbp:isCompatibleWith |
gptkb:PyTorch
TensorFlow Caffe MXNet |
| gptkbp:isOptimizedFor |
gptkb:Intel_architectures
NVIDIA architectures AMD_architectures |
| gptkbp:isPartOf |
AI ecosystem
|
| gptkbp:isSupportedBy |
third-party hardware
Intel_hardware |
| gptkbp:isUsedIn |
research
industry |
| gptkbp:offers |
performance optimization tools
multi-threading support |
| gptkbp:partOf |
oneAPI initiative
|
| gptkbp:provides |
documentation
pre-trained models sample applications profiling tools tensor operations API for Python high-performance primitives API_for_C_and_C++ |
| gptkbp:publishedIn |
gptkb:C++
|
| gptkbp:releasedIn |
2020
|
| gptkbp:supports |
gptkb:OpenMP
gptkb:SYCL OpenCL deep learning reinforcement learning transfer learning distributed training FP16 precision INT8 precision model quantization bfloat16 precision dynamic neural networks training and inference |