Optimzation Toolkit#
The NervAI Optimization Toolkit constitutes an advanced Python package tailored for the profiling, visualization, and optimization of neural network architectures. Its principal objective is to facilitate an in-depth understanding of the memory and computational requirements of PyTorch models, enable intuitive visualization of their structure and intermediate outputs, and apply state-of-the-art optimization techniques for deployment in resource-constrained environments.
Key features of the NervAI Optimization SDK include:
Model Inspection - A suite of tools for detailed visualization, encompassing graph-based representations of network architectures and in-depth analyses of feature maps, filter activations, gradient distributions, and more.
Model Profiling - A robust profiling utility designed to evaluate and report on the memory footprint and computational overhead of neural networks.
Model Optimization - A collection of cutting-edge algorithms for neural network pruning, quantization, and compression to ensure efficient deployment while maintaining model performance.
Installation#
The NervAI Optimization Toolkit can be installed from PyPI using the following command:
pip install nervai-optim