TypeError: expected sequence object with len >= 0 or a single integer #2842

lijain · 2020-05-29T03:01:24Z

i run python tools/train.py --config example/dior/faster_rcnn_r101_fpn_1x.py --validate
I see the explanation, but I don't suggest that I think it can be used, so I added a test during the training. Would you like to ask the reason for the error??

_rpn_bbox: 0.0190, loss_cls: 0.1400, acc: 95.4509, loss_bbox: 0.0957, loss: 0.2879
[ ] 0/11738, elapsed: 0s, ETA:Traceback (most recent call last):
File "tools/train.py", line 154, in
main()
File "tools/train.py", line 150, in main
meta=meta)
File "/data/maq/PycharmProjects/TSD-master/mmdet/apis/train.py", line 169, in train_detector
runner.run(data_loaders, cfg.workflow, cfg.total_epochs)
File "/data/maq/anaconda3/envs/mmdetect/lib/python3.7/site-packages/mmcv/runner/runner.py", line 380, in run
epoch_runner(data_loaders[i], **kwargs)
File "/data/maq/anaconda3/envs/mmdetect/lib/python3.7/site-packages/mmcv/runner/runner.py", line 288, in train
self.call_hook('after_train_epoch')
File "/data/maq/anaconda3/envs/mmdetect/lib/python3.7/site-packages/mmcv/runner/runner.py", line 241, in call_hook
getattr(hook, fn_name)(self)
File "/data/maq/PycharmProjects/TSD-master/mmdet/core/evaluation/eval_hooks.py", line 28, in after_train_epoch
results = single_gpu_test(runner.model, self.dataloader, show=False)
File "/data/maq/PycharmProjects/TSD-master/mmdet/apis/test.py", line 19, in single_gpu_test
result = model(return_loss=False, rescale=not show, **data)
File "/data/maq/anaconda3/envs/mmdetect/lib/python3.7/site-packages/torch/nn/modules/module.py", line 547, in call
result = self.forward(*input, **kwargs)
File "/data/maq/anaconda3/envs/mmdetect/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py", line 153, in forward
return self.gather(outputs, self.output_device)
File "/data/maq/anaconda3/envs/mmdetect/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py", line 165, in gather
return gather(outputs, output_device, dim=self.dim)
File "/data/maq/anaconda3/envs/mmdetect/lib/python3.7/site-packages/torch/nn/parallel/scatter_gather.py", line 68, in gather
res = gather_map(outputs)
File "/data/maq/anaconda3/envs/mmdetect/lib/python3.7/site-packages/torch/nn/parallel/scatter_gather.py", line 63, in gather_map
return type(out)(map(gather_map, zip(*outputs)))
File "/data/maq/anaconda3/envs/mmdetect/lib/python3.7/site-packages/torch/nn/parallel/scatter_gather.py", line 63, in gather_map
return type(out)(map(gather_map, zip(*outputs)))
TypeError: expected sequence object with len >= 0 or a single integer

MioChiu · 2020-05-29T03:54:11Z

I meet same error

hellock · 2020-05-29T05:12:03Z

There is no --validate argument, only --no-validate.

lijain · 2020-05-29T05:16:05Z

I see the explanation. That means we can't train for several rounds and then Val?

…

------------------ 原始邮件 ------------------ 发件人: "Kai Chen"<notifications@github.com>; 发送时间: 2020年5月29日(星期五) 中午1:12 收件人: "open-mmlab/mmdetection"<mmdetection@noreply.github.com>; 抄送: "利剑"<1632401541@qq.com>;"Author"<author@noreply.github.com>; 主题: Re: [open-mmlab/mmdetection] TypeError: expected sequence object with len >= 0 or a single integer (#2842) There is no --validate argument, only --no-validate. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

hellock · 2020-05-29T05:18:06Z

Validation is enabled by default. If you want to skip the validation, you can add the --no-validate argument. I am afraid the version you were using is too old.

lijain · 2020-05-29T05:24:21Z

I downloaded the latest. If validation is enabled by default, why is there no map of Val data in my training process? Is there something wrong with my setup? Please advise. Thank you

…

------------------ 原始邮件 ------------------ 发件人: "Kai Chen"<notifications@github.com>; 发送时间: 2020年5月29日(星期五) 中午1:18 收件人: "open-mmlab/mmdetection"<mmdetection@noreply.github.com>; 抄送: "利剑"<1632401541@qq.com>;"Author"<author@noreply.github.com>; 主题: Re: [open-mmlab/mmdetection] TypeError: expected sequence object with len >= 0 or a single integer (#2842) Validation is enabled by default. If you want to skip the validation, you can add the --no-validate argument. I am afraid the version you were using is too old. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

lijain · 2020-05-29T05:43:04Z

python tools/train.py --config example/dior/faster_rcnn_r101_fpn_1x.py
evaluation = dict(interval=1, metric='mAP')

optimizer

optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)
optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2))

learning policy

lr_config = dict(
policy='step',
warmup='linear',

Operation is just training, and there is no Val data calculation map? Please advise

mathmanu · 2020-06-04T09:42:42Z

Hi, I face this issue too. It is happening in gather_map() called in DataParallel. I have attached a screen shot of the debug window here:

zhiwenfan · 2020-06-17T15:05:53Z

Hi, I face this issue too. It is happening in gather_map() called in DataParallel. I have attached a screen shot of the debug window here:

Hi, I also face the "TypeError: expected sequence object with len >= 0 or a single integer" when one epoch is finished.
What caused this problem and could you please provide some advices about how to solve this problem?
Many thanks.

zhiwenfan · 2020-06-17T15:06:38Z

I downloaded the latest. If validation is enabled by default, why is there no map of Val data in my training process? Is there something wrong with my setup? Please advise. Thank you
…
------------------ 原始邮件 ------------------ 发件人: "Kai Chen"<notifications@github.com>; 发送时间: 2020年5月29日(星期五) 中午1:18 收件人: "open-mmlab/mmdetection"<mmdetection@noreply.github.com>; 抄送: "利剑"<1632401541@qq.com>;"Author"<author@noreply.github.com>; 主题: Re: [open-mmlab/mmdetection] TypeError: expected sequence object with len >= 0 or a single integer (#2842) Validation is enabled by default. If you want to skip the validation, you can add the --no-validate argument. I am afraid the version you were using is too old. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

Hi, I also face the "TypeError: expected sequence object with len >= 0 or a single integer" when one epoch is finished.
Have you solved this problem?
What caused this problem and could you please provide some advices about how to solve this problem?
Many thanks.

zhiwenfan · 2020-06-17T15:09:14Z

Validation is enabled by default. If you want to skip the validation, you can add the --no-validate argument. I am afraid the version you were using is too old.

Hi, the problem of "TypeError: expected sequence object with len >= 0 or a single integer" seems not relevant with the argument setting.
When one epoch is finished, and start do validation, the problem will arise.
Is it caused by the sample of validation number can not be divided with the (num_gpu * samples_per_gpu)?
Looking forward for your advises.

FreyWang · 2020-06-21T12:06:29Z

Validation is enabled by default. If you want to skip the validation, you can add the --no-validate argument. I am afraid the version you were using is too old.

Hi, the problem of "TypeError: expected sequence object with len >= 0 or a single integer" seems not relevant with the argument setting.
When one epoch is finished, and start do validation, the problem will arise.
Is it caused by the sample of validation number can not be divided with the (num_gpu * samples_per_gpu)?
Looking forward for your advises.

add the code

            if isinstance(model, torch.nn.DataParallel):
                model.device_ids = [0]

below

mmdetection/mmdet/apis/test.py

Line 25 in 0d67223

with torch.no_grad():

FreyWang · 2020-06-21T12:09:42Z

Validation is enabled by default. If you want to skip the validation, you can add the --no-validate argument. I am afraid the version you were using is too old.

Hi, the problem of "TypeError: expected sequence object with len >= 0 or a single integer" seems not relevant with the argument setting.
When one epoch is finished, and start do validation, the problem will arise.
Is it caused by the sample of validation number can not be divided with the (num_gpu * samples_per_gpu)?
Looking forward for your advises.

add the code

            if isinstance(model, torch.nn.DataParallel):
                model.device_ids = [0]

below

mmdetection/mmdet/apis/test.py

Line 25 in 0d67223

with torch.no_grad():

handong1587 · 2020-07-17T13:31:33Z

Validation is enabled by default. If you want to skip the validation, you can add the --no-validate argument. I am afraid the version you were using is too old.

Hi, the problem of "TypeError: expected sequence object with len >= 0 or a single integer" seems not relevant with the argument setting.
When one epoch is finished, and start do validation, the problem will arise.
Is it caused by the sample of validation number can not be divided with the (num_gpu * samples_per_gpu)?
Looking forward for your advises.

add the code
            if isinstance(model, torch.nn.DataParallel):
                model.device_ids = [0]
below

mmdetection/mmdet/apis/test.py

Line 25 in 0d67223

with torch.no_grad():

Hi, do you know why this error occured?
How these 2 lines can solve the error?
Thanks!

FreyWang · 2020-07-17T13:33:54Z

Validation is enabled by default. If you want to skip the validation, you can add the --no-validate argument. I am afraid the version you were using is too old.

Hi, the problem of "TypeError: expected sequence object with len >= 0 or a single integer" seems not relevant with the argument setting.
When one epoch is finished, and start do validation, the problem will arise.
Is it caused by the sample of validation number can not be divided with the (num_gpu * samples_per_gpu)?
Looking forward for your advises.

add the code
            if isinstance(model, torch.nn.DataParallel):
                model.device_ids = [0]
below

mmdetection/mmdet/apis/test.py

Line 25 in 0d67223

with torch.no_grad():
Hi, do you know why this error occured?
How these 2 lines can solve the error?
Thanks!

just debug

Nafees-060 · 2020-09-18T18:40:12Z

Hi folks

When I run the file it is correctly working, however, when I debug the code, it do not work. Following Errors are showing:

Traceback (most recent call last):
  File "C:\Program Files\JetBrains\PyCharm 2020.2.1\plugins\python\helpers\pydev\pydevd.py", line 1448, in _exec
    pydev_imports.execfile(file, globals, locals)  # execute the script
  File "C:\Program Files\JetBrains\PyCharm 2020.2.1\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "C:/Users/Nafees Ahmed/PycharmProjects/pythonProject/DeepConvLSTM-master/DeepConvLSTM-master/DeepConvLSTM.py", line 14, in <module>
    get_ipython().system('wget https://archive.ics.uci.edu/ml/machine-learning-databases/00226/OpportunityUCIDataset.zip')
AttributeError: 'NoneType' object has no attribute 'system'

I could not understand, why it happens and how can I solve it out? Please help me to sort out this problem

dxyzx0 · 2020-09-22T06:52:38Z

Validation is enabled by default. If you want to skip the validation, you can add the --no-validate argument. I am afraid the version you were using is too old.

Hi, the problem of "TypeError: expected sequence object with len >= 0 or a single integer" seems not relevant with the argument setting.
When one epoch is finished, and start do validation, the problem will arise.
Is it caused by the sample of validation number can not be divided with the (num_gpu * samples_per_gpu)?
Looking forward for your advises.

add the code
            if isinstance(model, torch.nn.DataParallel):
                model.device_ids = [0]
below

mmdetection/mmdet/apis/test.py

Line 25 in 0d67223

with torch.no_grad():

That's not a good solution. You only train with nn.DataParallel but when you validate and test your model doesn't utilize nn.DataParallel and that may cause CUDA out of memory error when you try to test/validate with the same batch size of training.

hhaAndroid · 2021-04-19T03:39:10Z

Is there still a problem with the latest version now?

* fix save_inference_model cannot find feed vars * remove comment * fix format * add comment for pruned var * add log for prune

tall-josh · 2021-08-11T00:54:38Z

I have this issue when my config gpus is variable is >1. Setting it to 1 stopped the problem

Sairam13001 · 2022-05-20T06:45:32Z

Is this problem solved? Someone please let me know.

GenMoat · 2023-12-14T14:46:55Z

I had the same problem, and it was solved by setting gpu_ids = [0] in the config file (obviously when you use 1 single GPU to test).

sunjiabin17 mentioned this issue Dec 29, 2020

when run predict.py bubbliiiing/faster-rcnn-pytorch#23

Open

hhaAndroid added the bug Something isn't working label Apr 19, 2021

liuhuiCNN pushed a commit to liuhuiCNN/mmdetection that referenced this issue May 21, 2021

fix save_inference_model cannot find feed vars (open-mmlab#2842)

0b3f8b6

* fix save_inference_model cannot find feed vars * remove comment * fix format * add comment for pruned var * add log for prune

hhaAndroid closed this as completed May 26, 2021

FANGAreNotGnu pushed a commit to FANGAreNotGnu/mmdetection that referenced this issue Oct 23, 2023

Fix Tabular multimodal preset (open-mmlab#2842)

3186817

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TypeError: expected sequence object with len >= 0 or a single integer #2842

TypeError: expected sequence object with len >= 0 or a single integer #2842

lijain commented May 29, 2020

MioChiu commented May 29, 2020

hellock commented May 29, 2020

lijain commented May 29, 2020 via email

hellock commented May 29, 2020

lijain commented May 29, 2020 via email

lijain commented May 29, 2020

mathmanu commented Jun 4, 2020

zhiwenfan commented Jun 17, 2020

zhiwenfan commented Jun 17, 2020

zhiwenfan commented Jun 17, 2020

FreyWang commented Jun 21, 2020

FreyWang commented Jun 21, 2020

handong1587 commented Jul 17, 2020

FreyWang commented Jul 17, 2020

Nafees-060 commented Sep 18, 2020

dxyzx0 commented Sep 22, 2020 •

edited

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hhaAndroid commented Apr 19, 2021

tall-josh commented Aug 11, 2021

Sairam13001 commented May 20, 2022

GenMoat commented Dec 14, 2023

TypeError: expected sequence object with len >= 0 or a single integer #2842

TypeError: expected sequence object with len >= 0 or a single integer #2842

Comments

lijain commented May 29, 2020

MioChiu commented May 29, 2020

hellock commented May 29, 2020

lijain commented May 29, 2020 via email

hellock commented May 29, 2020

lijain commented May 29, 2020 via email

lijain commented May 29, 2020

optimizer

learning policy

mathmanu commented Jun 4, 2020

zhiwenfan commented Jun 17, 2020

zhiwenfan commented Jun 17, 2020

zhiwenfan commented Jun 17, 2020

FreyWang commented Jun 21, 2020

FreyWang commented Jun 21, 2020

handong1587 commented Jul 17, 2020

FreyWang commented Jul 17, 2020

Nafees-060 commented Sep 18, 2020

dxyzx0 commented Sep 22, 2020 • edited Loading

hhaAndroid commented Apr 19, 2021

tall-josh commented Aug 11, 2021

Sairam13001 commented May 20, 2022

GenMoat commented Dec 14, 2023

dxyzx0 commented Sep 22, 2020 •

edited

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