Paddle 使用paddlehub finetune得到的模型进行预测，为什么还要先加载预训练模型，导致很占用显存

ubbxdtey 于 2021-12-07 发布在 Java

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paddle.2 我通过预训练模型，进行finetune已经得到了自己的模型，进行预测的时候，为何还要去加载原来的预训练模型，这样会很占用显存，求助能不加载原预训练模型，只加载我训练得到的模型，可以吗？

import paddle
import paddlehub as hub

ifname== 'main':

model = hub.Module(name='resnet50_vd_imagenet_ssld', label_list=["roses", "tulips", "daisy", "sunflowers", "dandelion"], load_checkpoint='/PATH/TO/CHECKPOINT')
result = model.predict(['flower.jpg'])

from：https://github.com/PaddlePaddle/PaddleHub/tree/release/v2.1/demo/image_classification

136M model.pdparams 我自己训练好的模型只有136M，但实际占用了1081

Paddle

来源：https://github.com/PaddlePaddle/Paddle/issues/33684

3条答案

按热度按时间

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