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train the SASceneNet on MITIndoor67Dataset about semantic-aware-scene-recognition HOT 7 OPEN

zhangtongxue1994 commented on June 1, 2024

train the SASceneNet on MITIndoor67Dataset

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JiahangWu commented on June 1, 2024

May I ask some questions about this project? Is my GUP memory is not big enough? Why I confront with CUDA out of memory, when I run this project on every dataset. Plus, I cannot cancel the pre-compute, even I modify the config that make precompute_sem from true to false. Could you give me some solutions?
Thanks.

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zhangtongxue1994 commented on June 1, 2024

同学你好，是运行evaluation.py测试的时候显存不足？你显存多大？

------------------ Original ------------------ From: "吴佳航"<[email protected]>; Date: 2020年3月7日(星期六) 上午10:37 To: "vpulab/Semantic-Aware-Scene-Recognition"<[email protected]>; Cc: "zhang"<[email protected]>; "Author"<[email protected]>; Subject: Re: [vpulab/Semantic-Aware-Scene-Recognition] train the SASceneNet on MITIndoor67Dataset (#6) May I ask some questions about this project? Is my GUP memory is not big enough? Why I confront with CUDA out of memory, when I run this project on every dataset. Plus, I cannot cancel the pre-compute, even I modify the config that make precompute_sem from true to false. Could you give me some solutions? Thanks. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

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JiahangWu commented on June 1, 2024

同学你好，是运行evaluation.py测试的时候显存不足？你显存多大？
…
------------------ Original ------------------ From: "吴佳航"<[email protected]>; Date: 2020年3月7日(星期六) 上午10:37 To: "vpulab/Semantic-Aware-Scene-Recognition"<[email protected]>; Cc: "zhang"<[email protected]>; "Author"<[email protected]>; Subject: Re: [vpulab/Semantic-Aware-Scene-Recognition] train the SASceneNet on MITIndoor67Dataset (#6) May I ask some questions about this project? Is my GUP memory is not big enough? Why I confront with CUDA out of memory, when I run this project on every dataset. Plus, I cannot cancel the pre-compute, even I modify the config that make precompute_sem from true to false. Could you give me some solutions? Thanks. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

RTX 2060 6G的
我报的错是

Traceback (most recent call last):
  File "evaluation.py", line 302, in <module>
    val_top1, val_top2, val_top5, val_loss, val_ClassTPDic = evaluationDataLoader(val_loader, model, set='Validation')
  File "evaluation.py", line 77, in evaluationDataLoader
    outputSceneLabel, feature_conv, outputSceneLabelRGB, outputSceneLabelSEM = model(RGB_image, semanticTensor)
  File "/home/lollipop/anaconda3/envs/SA-Scene-Recognition/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/lollipop/Semantic-Aware-Scene-Recognition/SASceneNet.py", line 165, in forward
    e1 = self.encoder1(x)
  File "/home/lollipop/anaconda3/envs/SA-Scene-Recognition/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/lollipop/anaconda3/envs/SA-Scene-Recognition/lib/python3.7/site-packages/torch/nn/modules/container.py", line 92, in forward
    input = module(input)
  File "/home/lollipop/anaconda3/envs/SA-Scene-Recognition/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/lollipop/anaconda3/envs/SA-Scene-Recognition/lib/python3.7/site-packages/torchvision/models/resnet.py", line 88, in forward
    residual = self.downsample(x)
  File "/home/lollipop/anaconda3/envs/SA-Scene-Recognition/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/lollipop/anaconda3/envs/SA-Scene-Recognition/lib/python3.7/site-packages/torch/nn/modules/container.py", line 92, in forward
    input = module(input)
  File "/home/lollipop/anaconda3/envs/SA-Scene-Recognition/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/lollipop/anaconda3/envs/SA-Scene-Recognition/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py", line 76, in forward
    exponential_average_factor, self.eps)
  File "/home/lollipop/anaconda3/envs/SA-Scene-Recognition/lib/python3.7/site-packages/torch/nn/functional.py", line 1623, in batch_norm
    training, momentum, eps, torch.backends.cudnn.enabled
RuntimeError: CUDA out of memory. Tried to allocate 306.25 MiB (GPU 0; 5.79 GiB total capacity; 4.35 GiB already allocated; 198.94 MiB free; 77.83 MiB cached)

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zhangtongxue1994 commented on June 1, 2024

可以加Q1620009136，帮你看一下

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zhangtongxue1994 commented on June 1, 2024

应该是config设置的问题，Q1620009136，抽空可以帮你看一下

------------------ Original ------------------ From: "吴佳航"<[email protected]>; Date: 2020年3月7日(星期六) 中午11:14 To: "vpulab/Semantic-Aware-Scene-Recognition"<[email protected]>; Cc: "zhang"<[email protected]>; "Author"<[email protected]>; Subject: Re: [vpulab/Semantic-Aware-Scene-Recognition] train the SASceneNet on MITIndoor67Dataset (#6) 同学你好，是运行evaluation.py测试的时候显存不足？你显存多大？ … ------------------ Original ------------------ From: "吴佳航"<[email protected]>; Date: 2020年3月7日(星期六) 上午10:37 To: "vpulab/Semantic-Aware-Scene-Recognition"<[email protected]>; Cc: "zhang"<[email protected]>; "Author"<[email protected]>; Subject: Re: [vpulab/Semantic-Aware-Scene-Recognition] train the SASceneNet on MITIndoor67Dataset (#6) May I ask some questions about this project? Is my GUP memory is not big enough? Why I confront with CUDA out of memory, when I run this project on every dataset. Plus, I cannot cancel the pre-compute, even I modify the config that make precompute_sem from true to false. Could you give me some solutions? Thanks. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe. RTX 2060 6G的 — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

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keaixiaovv commented on June 1, 2024

数据集外网下载太慢，同学们怎么解决这个问题的。

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JiahangWu commented on June 1, 2024

数据集外网下载太慢，同学们怎么解决这个问题的。

挂个vpn下载吧

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