...
For complete PowerAI documentation, see https://www.ibm.com/support/knowledgecenter/SS5SF7_1.6.0/navigation/pai_getstarted.htm. Here we only show simple examples with system-specific instructions.
Major Anaconda Modules
...
The NVIDIA® CUDA® Toolkit provides a development environment for creating high performance GPU-accelerated applications.
...
The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks.
...
Simple Example with Caffe
...
| Code Block |
|---|
wget https://wiki.ncsa.illinois.edu/download/attachments/82510352/pytorch_sample.sb sbatch pytorch_sample.sb squeue |
Major Anaconda Modules
| Name | Version | Description |
|---|---|---|
| caffe | 1.0 | Caffe is a deep learning framework made with expression, speed, and modularity in mind. |
| cudatoolkit | 10.1.105 | The NVIDIA® CUDA® Toolkit provides a development environment for creating high performance GPU-accelerated applications. |
| cudnn | 7.5.0+10.1 | The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. |
| h5py | 2.8.0 | The h5py package is a Pythonic interface to the HDF5 binary data format. |
| jupyter | 1.0.0 | Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. |
| matplotlib | 2.2.3 | Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. |
| nccl | 2.4.2 | The NVIDIA Collective Communications Library (NCCL) implements multi-GPU and multi-node collective communication primitives that are performance optimized for NVIDIA GPUs. |
| numpy | 1.14.5 | NumPy is the fundamental package for scientific computing with Python. |
| opencv | 3.4.2 | OpenCV was designed for computational efficiency and with a strong focus on real-time applications. |
| pytables | 3.4.4 | PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. |
| pytorch | 1.0.1 | PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. |
| scikit-learn | 0.19.1 | Simple and efficient tools for data mining and data analysis. |
| scipy | 1.1.0 | SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering |
| tensorboard | 1.13.0 | To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. |
| tensorflow-gpu | 1.13.1 | The core open source library to help you develop and train ML models. |
| torchvision | 0.2.1 | The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. |