Shypd.aiThe largest open index of AI toolscalculate-flops.pytorch is an open-source Data & Analytics tool that computes FLOPs, MACs, and Parameters for various neural networks. It supports Linear, CNN, RNN, GCN, and Transformer models, including large language models.
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calflops is a Python-based tool designed to accurately calculate the theoretical amount of Floating-Point Operations (FLOPs), Multiply-Add Operations (MACs), and Parameters within a wide range of neural networks. It supports common architectures like Linear, CNN, RNN, and GCN, as well as advanced Transformer models, including large language models such as Bert and LlaMA. The tool is built on PyTorch and can analyze any custom models implemented using `torch.nn.function.*`. A key feature is its ability to print FLOPs, Parameter values, and their proportions for each submodule, offering detailed insights into model performance consumption. It also provides a convenient way to calculate FLOPs for Hugging Face models online without downloading full weights, making it particularly useful for LLM analysis.
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