isabella232 / dlfdkit-code-samples

Intel oneAPI DL Framework Developer Toolkit (DLFD Kit)

The Intel oneAPI DL Framework Developer Toolkit is a suite of development libraries that make it fast and easy to build or optimize a deep learning framework that gets every last ounce of performance out of the newest Intel processors. This toolkit enables Deep Learning Framework with flexible options including optimial peformance on CPU, GPU, FPGA or a Domain Optimized Accelerator.

Included in this toolkit are:

· Intel oneAPI Deep Neural Network Library (oneDNN)

· Intel oneAPI Collective Communications Library (oneCCL)

License

The code samples are licensed under MIT license

oneDNN

Deep Neural Networks Library for Deep Neural Networks (oneDNN) is an open-source performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel Architecture Processors and Intel Processor Graphics. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs

Github : https://github.com/oneapi-src/oneDNN

oneCCL

Collective Communication Library is a library providing an efficient implementation of communication patterns usedin deep learning.

Github : https://github.com/oneapi-src/oneCCL

oneDNN and oneCCL samples

Please refer to the "link of the sample" column below for the content of the samples.

Type	Name	Link of the sample	Description
Component	oneDNN_Getting_Started	link	This C++ API example demonstrates basic of oneDNN programming model by using a ReLU operation.
Component	oneDNN_SYCL_InterOps	link	This C++ API example demonstrates oneDNN SYCL extensions API programming model by using a custom SYCL kernel and a ReLU operation .
Component	oneDNN_CNN_FP32_Inference	link	This C++ API example demonstrates building/runing a simple CNN fp32 inference against different oneDNN pre-built binarie.
Component	oneCCL_Getting_Started	link	Those C++ & C API example demonstrates basic of oneCCL programming model by invoking different collective operations such as allreduce.
Component	oneDNN_Getting_Started.ipynb	link	This Jupyter Notebook demonstrates how to compile a oneDNN sample with different releases via batch jobs on the Intel oneAPI DevCloud
Component	oneDNN_CPU2GPU_Porting.ipynb	link	This Jupyter Notebook demonstrates how to port a oneDNN sample from CPU-only version to CPU&GPU version by using DPC++ on the Intel oneAPI DevCloud
Component	oneCCL_Getting_Started.ipynb	link	This Jupyter Notebook demonstrates how to compile a oneCCL sample with different releases and how to port a oneCCL sample from CPU-only version to CPU&GPU version by using DPC++ via batch jobs on the Intel oneAPI DevCloud