AttributeError: 'Activation' object has no attribute 'get_output_at'

[NishaAkole]

I am trying to train the custom model on my dataset. Earlier I used PyTorch version of detection model and there were some errors in the script I could not resolve. So, I tried Tensorflow version, and stuck at this error on line no 134 in tensorflow.py script.

[felixdittrich92]

Hi @NishaAkole 👋 ,

docTR requires TF <2.16 atm but we have the upgrade on track in #1461

[felixdittrich92]

Which errors have you had with pytorch ?

[NishaAkole]

I am stuck at Detection model only. The screenshot of the error is attached here. I have NVIDIA RTX 4070 8GB but could not access my GPU by both PyTorch and Tensorflow . Because of that I was facing memory errors as well, so I reduced the dataset size, training set (8 images) and val set(5 images). Then these errors started coming.

[felixdittrich92]

@NishaAkole This looks like your annotations are wrong

You can use the following as reference :) (polygon coord order doesn't matter)
FUNSD dataset (with doctr annotations)
https://drive.google.com/file/d/1CHVd2B4J4ejbwum0SCV5xD8Flj2UOqNX/view?usp=drive_link

[NishaAkole]

Hi @felixdittrich92,
Thanks for your suggestions.
I tried downgrading Tensoflow to 2.15.1, but still getting the same error.

I also changed the annotation format and made it exactly same as you mentioned, now getting MemoryError. I will attach the screenshot here. I have GPU NVIDIA RTX 4070, but neither PyTorch nor TensorFlow was able to access it.

[BirenMer]

Had same error and it was fixed by downgrading tensorflow version from 2.16.1 to 2.15.1
pip install tensorflow==2.15.1

[LakshX413]

Thanks! This worked for me.