[E] 2: [myelinBuilderUtils.cpp::getMyelinSupportType::1270] Error Code 2: Internal Error (ForeignNode does not support data-dependent shape for now.)
[!] Invalid Engine. Please ensure the engine was built correctly
[E] FAILED | Runtime: 22.843s | Command: /home/osmagic/anaconda3/envs/pytorch/bin/polygraphy run --trt weights/out_nms_0527_sim_san.onnx

deta.pt2onnx(img_size=(1440,832),weights='/mnt/data1/download_new/DETA-master/exps/public/deta_swin_ft_2024年4月3日/best.pt')
def pt2onnx (self,weights,img_size,batch_size=1,device='cuda:0',export_nms=False,simplify=True):
 model=self.model
 print(img_size)
 img = torch.zeros(batch_size, 3, *img_size).to(device)
 try:
 import onnx
 
 print(f' starting export with onnx {onnx.__version__}...')
 f = weights.replace('.pt', '.onnx') # filename
 torch.onnx.export(model, img, f, verbose=False, opset_version=11, input_names=['images'], output_names=['output'],
 dynamic_axes={'images': {0: 'batch', 2: 'height', 3: 'width'}, # size(1,3,640,640)
 'output': {0: 'batch', 2: 'y', 3: 'x'}} )
 # Checks
 model_onnx = onnx.load(f) # load onnx model
 onnx.checker.check_model(model_onnx) # check onnx model
 # print(onnx.helper.printable_graph(model_onnx.graph)) # print
 # Simplify
 if simplify:
 try:
 # check_requirements(['onnx-simplifier'])
 import onnxsim
 print(f'simplifying with onnx-simplifier {onnxsim.__version__}...')
 model_onnx, check = onnxsim.simplify(model_onnx,
 input_shapes={'images': list(img.shape)} )
 assert check, 'assert check failed'
 onnx.save(model_onnx, f)
 except Exception as e:
 print(f' simplifier failure: {e}')
 # print(f'{prefix} export success, saved as {f} ({file_size(f):.1f} MB)')
 except Exception as e:
 print(f' export failure: {e}')

/mnt/data1/download_new/DETA-master/models/deformable_detr.py:243: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
 for a, b in zip(outputs_class[:-1], outputs_coord[:-1])]
 export failure: 0INTERNAL ASSERT FAILED at "../torch/csrc/jit/ir/alias_analysis.cpp":607, please report a bug to PyTorch. We don't have an op for aten::fill_ but it isn't a special case. Argument types: Tensor, bool, 
Candidates:
	aten::fill_.Scalar(Tensor(a!) self, Scalar value) -> (Tensor(a!))
	aten::fill_.Tensor(Tensor(a!) self, Tensor value) -> (Tensor(a!))

File "/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/base.py", line 306, in fix_dynamic_axes
 session = InferenceSession(model_path.as_posix(), providers=providers, sess_options=session_options)
 File "/usr/local/lib/python3.10/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 419, in __init__
 self._create_inference_session(providers, provider_options, disabled_optimizers)
 File "/usr/local/lib/python3.10/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 480, in _create_inference_session
 sess = C.InferenceSession(session_options, self._model_path, True, self._read_config_from_model)
onnxruntime.capi.onnxruntime_pybind11_state.InvalidGraph: [ONNXRuntimeError] : 10 : INVALID_GRAPH : Load model from deta_test/model.onnx failed:This is an invalid model. Type Error: Type 'tensor(bool)' of input parameter (/model/Equal_7_output_0) of operator (CumSum) in node (/model/CumSum_1) is invalid.