Calflops

Description

This package is designed to compute the theoretical amount of FLOPs(floating-point operations)、MACs(multiply-add operations) and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)，including any custom models via torch.nn.function.* as long as based on the Pytorch implementation.

Resources

• PyPi

• 0.3.2
• 0.3.1
• 0.3.0
• 0.2.9
• 0.2.8
• 0.2.7
• 0.2.6
• 0.2.5
• 0.2.0
• 0.1.0
• 0.0.9
• 0.0.8
• 0.0.7
• 0.0.6
• 0.0.5
• 0.0.4
• 0.0.3
• 0.0.2
• 0.0.1