calculate-flops.pytorch
Calflops provides a complete tool for calculating theoretical FLOPs, MACs, and parameters in diverse neural networks such as CNNs, RNNs, and large language models. This tool offers efficient analysis of Pytorch-based models with detailed performance metrics for each submodule, facilitating a deeper understanding of performance costs. The tool's integration with Huggingface enhances usability by enabling computations without full model downloads. Drawing inspiration from libraries like ptflops, deepspeed, and hf accelerate, Calflops improves FLOPs calculations and supports Transformer models, making it a key asset for performance analysis and optimization.
