issue

[zhoupengfei163]

File "/home/zpf/anaconda3/envs/humannorm/lib/python3.8/site-packages/transformers/models/clip/modeling_clip.py", line 185, in forward
patch_embeds = self.patch_embedding(pixel_values.to(dtype=target_dtype)) # shape = [*, width, grid, grid]
File "/home/zpf/anaconda3/envs/humannorm/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/home/zpf/桌面/humanPF/memsave_torch/memsave_torch/nn/Conv2d.py", line 67, in forward
return conv2dMemSave(
File "/home/zpf/桌面/humanPF/memsave_torch/memsave_torch/nn/functional/Conv.py", line 115, in conv2dMemSave
return _MemSaveConv.apply(input, weight, bias, stride, padding, dilation, groups)
TypeError: forward() takes 7 positional arguments but 8 were given

[plutonium-239]

Hi, could you please provide the code to reproduce this?
Are you using the provided converter memsave_torch.nn.convert_to_memory_saving() or directly using one of the layer classes?