[BUG] module 'timm' has no attribute 'create_conv2d'

[sefibk]

Describe the bug
Following the exact instructions to train EfficientDet I get the error: AttributeError: module 'timm' has no attribute 'create_conv2d'

To Reproduce
Steps to reproduce the behavior:

1. Cloned efficientdet repo
2. Installed Timm package (tried both cloning repo and running python setup.py install and pip install timm)
3. Run ```
   #!/bin/bash
   NUM_PROC=$1
   shift
   python -m torch.distributed.launch --nproc_per_node=$NUM_PROC train.py "$@"

4. Process killed with error: `AttributeError: module 'timm' has no attribute 'create_conv2d'`
comment: After installing Timm and starting python `import timm` succeeds including running `timm.create_model()` however `timm.create_conv2d` and other functions fails with the above message.

**Expected behavior**
Expected training of EfficientDet to start

**Desktop (please complete the following information):**
 - OS: Ubuntu 18.04
 - This repository version [cloned Master no Feb 2nd - not sure how to check the version]
 - Python 3.7.0
 - pytorch                   1.7.1           py3.7_cuda11.0.221_cudnn8.0.5_0    pytorch
 - timm                      0.3.4                    pypi_0    pypi

**Additional context**
I assume it is a problem with the Timm installation but I am not sure and do not know how to check this. 
Would appreciate any assistance

[rwightman]

@sefibk are you sure you don't have a different/old version of timm in your env (ie two timm) or a folder named timm in your working path?

[sefibk]

Thank you for replying however issue is still unsolved.

I tried removing the folder timm from the device => still same error
Also tried removing the folder, uninstalling and reinstalling timm => still same error

BTW, when running pip install timm I get version 0.3.4 but when installing locally from the clone repo I get 0.4.1. Could this indicate something? Do you have any other ideas?

[sefibk]

I was able to solve those issues by editing __init__.py in timm but now I get the error:

Traceback (most recent call last):
  File "train_effdet.py", line 699, in <module>
    main()
  File "train_effdet.py", line 353, in main
    optimizer = timm.create_optimizer(args, model)
  File "/root/miniconda/lib/python3.7/site-packages/timm-0.4.1-py3.7.egg/timm/optim/optim_factory.py", line 53, in create_optimizer
    assert has_apex and torch.cuda.is_available(), 'APEX and CUDA required for fused optimizers'
AssertionError: APEX and CUDA required for fused optimizers

Do you use native APEX? must I install it?
(I am running with torch==1.7.1)

[rwightman]

It's exactly as that assert says, you need it for the fused versions of optimizers. Remove the 'fused' if you don't have or don't want to install native APEX

[sefibk]

Thank you very