Flops counter for convolutional networks in pytorch framework
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)
face image illumination quality assessment implement by pytorch
Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)
Your one stop CLI for ONNX model analysis.
FLOPs and other statistics COunter for tf.keras neural networks
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.
PyTorch module FLOPS counter
Estimating FLOPs of various operators in ResNet18 using the TVM Relay frontend.
Measure floating point operations per second on your device
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