Help:Change backbone error- used Timm of mmclassification

[nakuda1]

Sorry to bother you. When I followed the guidance of change backbone to GhostNet, and I changed the chanel to channels = [40, 112, 160], which is the Ghostnet need, But it has error. Can you help me, many thanks!!!

RuntimeError: Given groups=1, weight of size [56, 224, 1, 1], expected input[2, 192, 40, 40] to have 224 channels, but got 192 channels instead

Traceback (most recent call last): File "tools/train.py", line 115, in main() File "tools/train.py", line 111, in main runner.train() File "/root/miniconda3/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1686, in train model = self.train_loop.run() # type: ignore File "/root/miniconda3/lib/python3.8/site-packages/mmengine/runner/loops.py", line 90, in run self.run_epoch() File "/root/miniconda3/lib/python3.8/site-packages/mmengine/runner/loops.py", line 106, in run_epoch self.run_iter(idx, data_batch) File "/root/miniconda3/lib/python3.8/site-packages/mmengine/runner/loops.py", line 122, in run_iter outputs = self.runner.model.train_step( File "/root/miniconda3/lib/python3.8/site-packages/mmengine/model/base_model/base_model.py", line 114, in train_step losses = self._run_forward(data, mode='loss') # type: ignore File "/root/miniconda3/lib/python3.8/site-packages/mmengine/model/base_model/base_model.py", line 326, in _run_forward results = self(data, mode=mode) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, *kwargs) File "/root/miniconda3/lib/python3.8/site-packages/mmdet/models/detectors/base.py", line 92, in forward return self.loss(inputs, data_samples) File "/root/miniconda3/lib/python3.8/site-packages/mmdet/models/detectors/single_stage.py", line 77, in loss x = self.extract_feat(batch_inputs) File "/root/miniconda3/lib/python3.8/site-packages/mmdet/models/detectors/single_stage.py", line 148, in extract_feat x = self.neck(x) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(input, kwargs) File "/root/Swin-Transformer-Object-Detection/mmyolo/mmyolo/models/necks/base_yolo_neck.py", line 242, in forward inner_out = self.top_down_layers[len(self.in_channels) - 1 - idx]( File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, kwargs) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/container.py", line 141, in forward input = module(input) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, *kwargs) File "/root/miniconda3/lib/python3.8/site-packages/mmdet/models/layers/csp_layer.py", line 237, in forward x_short = self.short_conv(x) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(input, kwargs) File "/root/miniconda3/lib/python3.8/site-packages/mmcv/cnn/bricks/conv_module.py", line 207, in forward x = self.conv(x) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 446, in forward return self._conv_forward(input, self.weight, self.bias) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 442, in _conv_forward return F.conv2d(input, weight, bias, self.stride,