报警告：/data2/local_userdata/heyuting/new_VOT/COESOT-main/CEUTrack/lib/train/../../lib/train/data/loader.py:90: UserWarning: An output with one or more elements was resized since it had shape [32768], which does not match the required output shape [1, 2, 128, 128]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at ../aten/src/ATen/native/Resize.cpp:28.)
  return torch.stack(batch, 1, out=out)
/data2/local_userdata/heyuting/new_VOT/COESOT-main/CEUTrack/lib/train/../../lib/train/data/loader.py:90: UserWarning: An output with one or more elements was resized since it had shape [393216], which does not match the required output shape [1, 2, 3, 256, 256]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at ../aten/src/ATen/native/Resize.cpp:28.)
  return torch.stack(batch, 1, out=out)
/data2/local_userdata/heyuting/new_VOT/COESOT-main/CEUTrack/lib/train/../../lib/train/data/loader.py:90: UserWarning: An output with one or more elements was resized since it had shape [131072], which does not match the required output shape [1, 2, 256, 256]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at ../aten/src/ATen/native/Resize.cpp:28.)
  return torch.stack(batch, 1, out=out)
/data2/local_userdata/heyuting/new_VOT/COESOT-main/CEUTrack/lib/train/../../lib/train/data/loader.py:90: UserWarning: An output with one or more elements was resized since it had shape [98304], which does not match the required output shape [1, 2, 3, 128, 128]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at ../aten/src/ATen/native/Resize.cpp:28.)
  return torch.stack(batch, 1, out=out)
/data2/local_userdata/heyuting/new_VOT/COESOT-main/CEUTrack/lib/train/../../lib/train/data/loader.py:90: UserWarning: An output with one or more elements was resized since it had shape [8], which does not match the required output shape [1, 2, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at ../aten/src/ATen/native/Resize.cpp:28.)
  return torch.stack(batch, 1, out=out)
/data2/local_userdata/heyuting/new_VOT/COESOT-main/CEUTrack/lib/train/../../lib/train/data/loader.py:90: UserWarning: An output with one or more elements was resized since it had shape [32768], which does not match the required output shape [1, 2, 128, 128]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at ../aten/src/ATen/native/Resize.cpp:28.)
  return torch.stack(batch, 1, out=out)
/data2/local_userdata/heyuting/new_VOT/COESOT-main/CEUTrack/lib/train/../../lib/train/data/loader.py:90: UserWarning: An output with one or more elements was resized since it had shape [393216], which does not match the required output shape [1, 2, 3, 256, 256]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at ../aten/src/ATen/native/Resize.cpp:28.)
  return torch.stack(batch, 1, out=out) 。如何修改？