question about export the model into torchscript

[Zalways]

i exported the model into torchscript format, and when i use the exported model to inference on image,it only can inference on the image that i used for exporting model, but for other image,it cann't work,and the error message is:
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py:1051: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.)
return forward_call(*input, **kwargs)
Traceback (most recent call last):
File "/root/autodl-tmp/project/deploy/export_model.py", line 264, in
out1 = m(data)
File "/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
RuntimeError: The following operation failed in the TorchScript interpreter.
Traceback of TorchScript, serialized code (most recent call last):
File "code/torch/detectron2/export/flatten.py", line 9, in forward
def forward(self: torch.detectron2.export.flatten.TracingAdapter,
argument_1: Tensor) -> Tuple[Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor]:
_0, _1, _2, _3, _4, _5, _6, = (self.model).forward(argument_1, )
~~~~~~~~~~~~~~~~~~~ <--- HERE
return (_0, _1, _2, _3, _4, _5, 6)
File "code/torch/adet/modeling/text_spotter.py", line 23, in forward
batched_imgs = torch.unsqueeze(_7, 0)
x0 = torch.contiguous(batched_imgs)
_8, _9, _10, _11, = (_0).forward(x0, image_size, )
~~~~~~~~~~~ <--- HERE
_12 = torch.softmax(_9, -1)
prob = torch.sigmoid(torch.mean(_8, [-2]))
File "code/torch/adet/modeling/model/detection_transformer.py", line 50, in forward
_29 = getattr(self.input_proj, "1")
_30 = getattr(self.input_proj, "0")
_31 = (self.backbone).forward(x, image_size, )
~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
_32, _33, _34, _35, _36, _37, _38, _39, _40, _41, _42, _43, _44, _45, _46, _47, _48, _49, _50, _51, _52, _53, _54, _55, _56, _57, = _31
_58 = (_30).forward(_32, )
File "code/torch/adet/modeling/text_spotter.py", line 104, in forward
image_size: Tensor) -> Tuple[Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor]:
_61 = getattr(self, "1")
_62 = (getattr(self, "0")).forward(x, image_size, )
~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
_63, _64, _65, _66, _67, _68, _69, = _62
pos_embed = torch.to((_61).forward(_63, ), 6)
File "code/torch/adet/modeling/text_spotter.py", line 143, in forward
_92 = torch.slice(torch.slice(_91, 0, 0, 125), 1, 0, 138)
_93 = torch.view(CONSTANTS.c2, annotate(List[int], []))
94 = torch.copy(_92, torch.expand(_93, [125, 138]))
~~~~~~~~~~~ <--- HERE
masks_per_feature_level0 = torch.ones([_85, _86, _87], dtype=11, layout=None, device=torch.device("cpu"), pin_memory=False)
_95 = torch.select(masks_per_feature_level0, 0, 0)

Traceback of TorchScript, original code (most recent call last):
/root/autodl-tmp/project/adet/modeling/text_spotter.py(60): mask_out_padding
/root/autodl-tmp/project/adet/modeling/text_spotter.py(43): forward
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py(1039): _slow_forward
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py(1051): _call_impl
/root/autodl-tmp/project/adet/modeling/text_spotter.py(21): forward
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py(1039): _slow_forward
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py(1051): _call_impl
/root/autodl-tmp/project/adet/modeling/model/detection_transformer.py(168): forward
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py(1039): _slow_forward
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py(1051): _call_impl
/root/autodl-tmp/project/adet/modeling/text_spotter.py(220): forward
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py(1039): _slow_forward
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py(1051): _call_impl
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/detectron2/export/flatten.py(259):
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/detectron2/export/flatten.py(294): forward
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py(1039): _slow_forward
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/nn/modules/module.py(1051): _call_impl
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/jit/_trace.py(952): trace_module
/root/miniconda3/envs/deepsolo/lib/python3.8/site-packages/torch/jit/_trace.py(735): trace
/root/autodl-tmp/project/deploy/export_model.py(125): export_tracing
/root/autodl-tmp/project/deploy/export_model.py(224):
/root/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py(18): execfile
/root/.pycharm_helpers/pydev/pydevd.py(1496): _exec
/root/.pycharm_helpers/pydev/pydevd.py(1489): run
/root/.pycharm_helpers/pydev/pydevd.py(2177): main
/root/.pycharm_helpers/pydev/pydevd.py(2195):
RuntimeError: The size of tensor a (50) must match the size of tensor b (125) at non-singleton dimension 0