Here is 1 public repository matching this topic... 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) pytorchflops-counterlarge-language-modelscalflops ...
pipinstallcalflops-*-py3-none-any.whl How to use calflops Example CNN Model If model has only one input, you just need set the model input size by parameterinput_shape, it can automatically generate random model input to complete the calculation: ...
Byline: Michael Baillie IT ended with honours even on a frustrating afternoon for both sides...The Mirror (London, England)
In the improved CAL circuits, the auxiliary clock uses the sinusoidal wave to recycle the charge of auxiliary clock lines, while the auxiliary clock of conventional CAL circuits adopts the square wave. Pre-adiabatic flip-flops and sequential circuits based on improved CAL circuits are proposed. ...
# Usage: python cal_flops.py --model_name_or_path path_to_model --batch_size 1 --seq_length 512 # Inspired by: https://www.deepspeed.ai/tutorials/flops-profiler/ import fire import torch from deepspeed.accelerator import get_accelerator # type: ignore from deepspeed.profiling.flops_...
scripts cal_flops.py cal_lr.py length_cdf.py llama_pro.py llamafy_baichuan2.py llamafy_internlm2.py llamafy_qwen.py loftq_init.py test_toolcall.py src .gitattributes .gitignore LICENSE Makefile README.md README_zh.md pyproject.toml requirements.txt setup.pyBreadcrumbs LLaMA-Factory...