cannot import name 'container_abcs' from 'torch._six' #424
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I met the same problem. Last month it is correct. |
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Is it resolved for you? Or did you find a workaround? |
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I think it is caused by the latest update of the code.
You can use the code version one month ago, or temporarily replace it with
the pre-trained model in torchvision module.
…On Sat, Jun 19, 2021 at 8:03 PM hariharasudhane ***@***.***> wrote:
Is it resolved for you? Or did you find a workaround?
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This was fixed in timm repository back in February: huggingface/pytorch-image-models@94ca140#diff-c7abf83bc43184f6101237b08d7c489c361f3d57b3538d633f6f01d35254b73c Maybe you should try to update timm |
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@hariharasudhane I am facing the same problem. How to resolve it? |
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@hariharasudhane i am also facing the same issue, is it resolved or did you find any workaround? |
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Updating timm resolved this issue for me @Nitz93 @sumansahoo16 @JB-Bai |
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It seems to depend on the encoder type. But other encoders like 'efficientnet-b0' seem to work with updating timm. |
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I have run pytest in this repo just after timm update.
This is the short summary of the |
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Sorry to say that my issue popped up again. MY STORY: SCENARIO 1: Then I started encountering the following error on any Architecture+Encoder combination SCENARIO 2: And one more error pops up that is: The above error doesn't affect the execution though. Hence I was happy, but the length of values error is making my training useless. SCENARIO 3: |
@hariharasudhane Where is this error message coming from? I think this message seems to be the pandas's error message. |
Oh yes. That error is unrelated to this thread. But mentioned that error anyway. I should play around with the dimensions maybe to resolve that value error. |
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Can the Pytorch version give out the error? I just realized that the only change that has happened in my notebook between the errors popping up is the upgrade of pytorch to 1.9 from 1.8 in Google colab. I am running my notebook in colab btw. |
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This is also discussed here: So, downgrading to the pytorch 1.8.1 will also fix the 'torch._six’ error. In colab, the commands will be like this: |
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Neither updating trimm (to 0.4.9) nor downgrading PyTorch to 1.8.1 worked for me. |
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Hmm, It seems to be strange for me because timm v0.4.9 does not have torch._siz dependency. What is given if you run this? |
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Thanks for the post i-aki-y! /usr/local/lib/python3.7/dist-packages/timm/models/layers/helpers.py in () ImportError: cannot import name 'container_abcs' from 'torch._six' (/usr/local/lib/python3.7/dist-packages/torch/_six.py) |
Finally this worked for me. |
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Apologies the suggested solution (below) works - it appears I had installed packages later that updated PyTorch and reversed the forced downgrade!! Thanks for the help @i-aki-y , @hariharasudhane
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I met the same issue. Upgrading timm worked for me. |
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Package updated (0.2.0) with new timm==0.4.12 and tested with torch==1.9.0 |
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You may change |
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My solution was |
This worked for me as well. |
6 tasks
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I was facing this issue while trying to import read_image from torchvision.io and |
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I am also using colab and faced the same problem and arrived at this github. `!pip uninstall torch torchvision torchaudio torchtext timm import torch
from torch._six import container_abcs
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I am working in Kaggle Notebooks and I tried But still no luck. It still shows |
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Encountering this from today: 19-Jun-2021
ImportError Traceback (most recent call last)
in ()
4 get_ipython().system('pip install -U segmentation-models-pytorch')
5
----> 6 import segmentation_models_pytorch as smp
7
8
11 frames
/usr/local/lib/python3.7/dist-packages/timm/models/layers/helpers.py in ()
4 """
5 from itertools import repeat
----> 6 from torch._six import container_abcs
7
8
ImportError: cannot import name 'container_abcs' from 'torch._six' (/usr/local/lib/python3.7/dist-packages/torch/_six.py)
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