Intel one API Deep Neural Network Library
GPTKB entity
Statements (71)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Intel_one_API_Toolkits
|
| gptkbp:aims_to |
accelerate AI workloads
simplify development reduce development time |
| gptkbp:developed_by |
gptkb:Intel_Corporation
|
| gptkbp:features |
cloud integration
debugging tools version control visualization tools quantization pruning data parallelism model training model optimization layer fusion model parallelism automatic differentiation model inference integration with ID Es |
| https://www.w3.org/2000/01/rdf-schema#label |
Intel one API Deep Neural Network Library
|
| gptkbp:includes |
neural network primitives
|
| gptkbp:integrates_with |
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch |
| gptkbp:is_available_on |
gptkb:smartphone
gptkb:operating_system |
| gptkbp:is_compatible_with |
gptkb:Intel_architectures
|
| gptkbp:is_designed_for |
high-performance computing
|
| gptkbp:offers |
multi-device support
pre-trained models |
| gptkbp:part_of |
gptkb:Intel_one_API_toolkit
|
| gptkbp:provides |
gptkb:document
community support performance analysis tools performance optimization real-time analytics user guides performance benchmarks sample applications performance tuning tools training frameworks training datasets API for Python optimized routines API for C++ |
| gptkbp:released_in |
gptkb:2020
|
| gptkbp:supports |
gptkb:API
gptkb:CEO collaborative development deep learning hyperparameter tuning evaluation metrics data augmentation transfer learning model deployment heterogeneous computing profiling tools multi-threading API extensions data pipelines cloud deployment distributed training real-time inference dynamic computation graphs model serialization custom layers mixed precision training edge deployment |
| gptkbp:utilizes |
gptkb:Intel_Math_Kernel_Library
|
| gptkbp:written_in |
gptkb:C++
|