Flops counter for convolutional networks in pytorch framework
face image illumination quality assessment implement by pytorch
Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
MethodsCmp: A Simple Toolkit for Counting the FLOPs/MACs, Parameters and FPS of Pytorch-based Methods
Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.
FLOPs and other statistics COunter for tf.keras neural networks
Your one stop CLI for ONNX model analysis.
PyTorch module FLOPS counter
Measure floating point operations per second on your device
Estimating FLOPs of various operators in ResNet18 using the TVM Relay frontend.
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