8000 Which library is used to calculate the model complexity ? · Issue #99 · Algolzw/daclip-uir · GitHub
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Which library is used to calculate the model complexity ? #99

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supersonicMaclaurin opened this issue Feb 10, 2025 · 3 comments
Open

Which library is used to calculate the model complexity ? #99

supersonicMaclaurin opened this issue Feb 10, 2025 · 3 comments

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@supersonicMaclaurin
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I used the libraries thop and ptflops to measure the computational complexity. For ConditionalUNet with an input size of 256x256, the calculated amount of computation was 129.021558784G
@supersonicMaclaurin
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Can you provide the code ?

@Algolzw
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Algolzw commented Feb 10, 2025

Hi! I use torchsummaryX and here is the code:

import argparse

import torch
from torchsummaryX import summary

import options as option
from models import create_model

parser = argparse.ArgumentParser()
parser.add_argument(
    "-opt",
    type=str,
    default="options/derain/test/test_sde_derain.yml",
    help="Path to option YMAL file of Predictor.",
)
args = parser.parse_args()
opt = option.parse(args.opt, is_train=False)

opt = option.dict_to_nonedict(opt)
model = create_model(opt)

test_tensor = torch.randn(1, 3, 256, 256).cuda()
summary(model.model, x=test_tensor)

@supersonicMaclaurin
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tks!

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@Algolzw @supersonicMaclaurin
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