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For certain contexts, it is interesting to look at only convolution-based models (and/or compare to attention-based architectures). To facilitate this, there could be an optional column in the [CSV](h…
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Hello
After installing timm
I have this bug on google collab
Example code
h…
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**Describe the bug**
A clear and concise description of what the bug is.
I 'm try to use this command to train dataset ,my command like this:
```
./distributed_train.sh 4 /data/test/ --cutmix 0.…
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**Describe the bug**
I am working on a script to finetune the` "coatnet_2_rw_224.sw_in12k_ft_in1k"` model, but I am encountering matrix multiplication error
**To Reproduce**
```
model = timm.cre…
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**Short Description**
Contnet is a network which is combination of depthwise Convolution and self-Attention, stacking convolution layers and attention layers vertically. CoAtNet achieves 86.0% Imag…
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Hi, I am retraining the eva2mim model, but the model is not converging, I get 0% test Accuracy
**To Reproduce**
```
from timm.data.transforms_factory import create_transform
from timm.data import …
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After installing `keras-cv-attention-models` library using `pip`. I tried to import CoAtNet.
```python
from keras_cv_attention_models import coatnet
co_model = coatnet.CoAtNet0()
```
Then i…
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Hi, authors, this is an impressive work.
I have conducted experiments to train caformer-s18 using both the training code provided in ConvNext and the office training code provided in your reposito…
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Dataset: RESISC45
Options:
- Resnet50 (25M params) : https://arxiv.org/pdf/1512.03385.pdf
- CoAtNet : https://arxiv.org/abs/2106.04803 (model sampe v7)
- Vision Transformer (ViT) : https://arxiv…
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https://github.com/pytorch/pytorch/pull/87650 regressed inductor time 0.118->0.14 (1.6x -> 1.35x)
https://github.com/pytorch/pytorch/pull/87669 regressed inductor and eager time (eager time 0.19->0.2…