TResnet models are not working as encoder for SimCLR

[kankanar]

I wanted to try
arch = 'tresnet_m_miil_in21k' encoder = create_encoder(arch, pretrained=True, n_in=3) But got this error
Traceback (most recent call last): File "train_affectnet_simclr.py", line 58, in <module> model = create_simclr_model(encoder, hidden_size=2048, projection_size=128) File "/usr/local/lib/python3.7/dist-packages/self_supervised/vision/simclr.py", line 20, in create_simclr_model with torch.no_grad(): representation = encoder(torch.randn((2,n_in,128,128))) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/usr/local/lib/python3.7/dist-packages/timm/models/tresnet.py", line 274, in forward x = self.forward_features(x) File "/usr/local/lib/python3.7/dist-packages/timm/models/tresnet.py", line 268, in forward_features return self.body(x) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/container.py", line 139, in forward input = module(input) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/container.py", line 139, in forward input = module(input) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/conv.py", line 457, in forward return self._conv_forward(input, self.weight, self.bias) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/conv.py", line 454, in _conv_forward self.padding, self.dilation, self.groups) RuntimeError: Given groups=1, weight of size [64, 48, 3, 3], expected input[2, 768, 32, 32] to have 48 channels, but got 768 channels instead