# 'dict' object has no attribute 'training' **URL:** \ **Category:** Uncategorized\ **Created:** [June 22, 2022, 11:21pm UTC](https://discuss.pytorch.org/t/dict-object-has-no-attribute-training/154840 "2022-06-22T23:21:17Z")\ **Posts on this page:** 5\ **Page:** 1
**Author:** ![ynjiun\_wang](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ynjiun_wang/32/32014_2.png) [@ynjiun\_wang](https://discuss.pytorch.org/u/ynjiun_wang)\ **Post date:** [June 22, 2022, 11:21pm UTC](https://discuss.pytorch.org/t/dict-object-has-no-attribute-training/154840/1 "2022-06-22T23:21:17Z")
I tried to convert a pytorch model .pt file into a onnx by first build the model: ```auto model = PredictModel(**vars(args)).eval() ckpt = torch.load(args.ckpt) if "state_dict" in ckpt: model.load_state_dict(ckpt["state_dict"]) else: model.model.load_state_dict(ckpt) ``` After the model built and successfully loaded, I run the following code: ```auto L = torch.ones((1, 3, 320, 1152), dtype=torch.float32) R = torch.ones((1, 3, 320, 1152), dtype=torch.float32) onnxfile=args.ckpt.replace('.pt','.onnx') torch.onnx.export( model(L,R), (L,R), onnxfile, opset_version=12, do_constant_folding=True, ) ``` And I got the following error message: > /home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch\_1634272068694/work/aten/src/ATen/native/TensorShape.cpp:2157.) > return \_VF.meshgrid(tensors, \*\*kwargs) # type: ignore[attr-defined] > Traceback (most recent call last): > File “/home/paul/pytorch/TinyHITNet/predict.py”, line 108, in > torch.onnx.export( > File “/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/onnx/ **init**.py”, line 316, in export > return utils.export(model, args, f, export\_params, verbose, training, > File “/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/onnx/utils.py”, line 107, in export > \_export(model, args, f, export\_params, verbose, training, input\_names, output\_names, > File “/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/onnx/utils.py”, line 709, in \_export > with select\_model\_mode\_for\_export(model, training): > File “/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/contextlib.py”, line 113, in **enter** > return next(self.gen) > File “/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/onnx/utils.py”, line 42, in select\_model\_mode\_for\_export > is\_originally\_training = model.training > AttributeError: ‘dict’ object has no attribute ‘training’ What am I missing? could you please help? Thank you. ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [June 23, 2022, 4:01am UTC](https://discuss.pytorch.org/t/dict-object-has-no-attribute-training/154840/2 "2022-06-23T04:01:44Z")
Based on the error message it seems you are not passing a valid `nn.Module` as the model to `export` but a `dict`. The `.training` attribute query seems to be failing for: ```python model.training AttributeError: ‘dict’ object has no attribute ‘training’ ``` ---
**Author:** ![ynjiun\_wang](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ynjiun_wang/32/32014_2.png) [@ynjiun\_wang](https://discuss.pytorch.org/u/ynjiun_wang)\ **Post date:** [June 29, 2022, 10:44pm UTC](https://discuss.pytorch.org/t/dict-object-has-no-attribute-training/154840/3 "2022-06-29T22:44:54Z")
@ptrblck Thank you for your help. I tried again by creating the model directly: `model = HITNet_KITTI()` Then I tried to access `model.training` and it response `True` Then tried to export onnx, ```auto L = torch.ones((1, 3, 320, 1152), dtype=torch.float32) R = torch.ones((1, 3, 320, 1152), dtype=torch.float32) onnxfile="../model.onnx" torch.onnx.export( model, (L,R), onnxfile, opset_version=12, do_constant_folding=True, ) ``` Now it encounter the following errors: ```auto /home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1634272068694/work/aten/src/ATen/native/TensorShape.cpp:2157.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] /home/paul/pytorch/TinyHITNet/models/hit_net_kitti.py:9: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! out_h = math.ceil(x.size(2) / s[0]) /home/paul/pytorch/TinyHITNet/models/hit_net_kitti.py:10: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! out_w = math.ceil(x.size(3) / s[1]) /home/paul/pytorch/TinyHITNet/models/hit_net_kitti.py:12: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! pad_h = max((out_h - 1) * s[0] + w.size(2) - x.size(2), 0) /home/paul/pytorch/TinyHITNet/models/hit_net_kitti.py:13: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! pad_w = max((out_w - 1) * s[1] + w.size(3) - x.size(3), 0) /home/paul/pytorch/TinyHITNet/models/hit_net_kitti.py:14: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). pad_top = pad_h // 2 /home/paul/pytorch/TinyHITNet/models/hit_net_kitti.py:16: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). pad_left = pad_w // 2 /home/paul/pytorch/TinyHITNet/models/hit_net_kitti.py:147: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). scale = left.size(3) // hyp.size(3) /home/paul/pytorch/TinyHITNet/models/hit_net_kitti.py:148: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! assert scale == 4 /home/paul/pytorch/TinyHITNet/models/hit_net_kitti.py:172: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). cost = cost.reshape(n, c, h // scale, scale, w // scale, scale) /home/paul/pytorch/TinyHITNet/models/hit_net_kitti.py:174: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). cost = cost.reshape(n, scale * scale * c, h // scale, w // scale) Traceback (most recent call last): File "/home/paul/pytorch/TinyHITNet/predict.py", line 106, in torch.onnx.export( File "/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/onnx/ __init__.py", line 316, in export return utils.export(model, args, f, export_params, verbose, training, File "/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/onnx/utils.py", line 107, in export _export(model, args, f, export_params, verbose, training, input_names, output_names, File "/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/onnx/utils.py", line 724, in _export _model_to_graph(model, args, verbose, input_names, File "/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/onnx/utils.py", line 493, in _model_to_graph graph, params, torch_out, module = _create_jit_graph(model, args) File "/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/onnx/utils.py", line 437, in _create_jit_graph graph, torch_out = _trace_and_get_graph_from_model(model, args) File "/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/onnx/utils.py", line 388, in _trace_and_get_graph_from_model torch.jit._get_trace_graph(model, args, strict=False, _force_outplace=False, _return_inputs_states=True) File "/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/jit/_trace.py", line 1166, in _get_trace_graph outs = ONNXTracedModule(f, strict, _force_outplace, return_inputs, _return_inputs_states)(*args, **kwargs) File "/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "/home/paul/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/torch/jit/_trace.py", line 127, in forward graph, out = torch._C._create_graph_by_tracing( RuntimeError: output 1 (4 [CPULongType{}]) of traced region did not have observable data dependence with trace inputs; this probably indicates your program cannot be understood by the tracer. ``` You may duplicate the problem by download model from [here](https://github.com/zjjMaiMai/TinyHITNet/blob/master/models/hit_net_kitti.py) and insert the above torch onnx export code at the end of main. What am I missing? Thank you very much for your help again. ---
**Author:** ![youcef4k](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/youcef4k/32/44889_2.png) [@youcef4k](https://discuss.pytorch.org/u/youcef4k)\ **Post date:** [July 28, 2022, 3:46pm UTC](https://discuss.pytorch.org/t/dict-object-has-no-attribute-training/154840/4 "2022-07-28T15:46:40Z")
Hello, I am facing the exact same problem, did you find any workaround for this? thanks. ---
**Author:** ![youcef4k](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/youcef4k/32/44889_2.png) [@youcef4k](https://discuss.pytorch.org/u/youcef4k)\ **Post date:** [July 29, 2022, 7:24am UTC](https://discuss.pytorch.org/t/dict-object-has-no-attribute-training/154840/5 "2022-07-29T07:24:41Z")
I just found the problem. The model returns a literal int value, for which the tracer used by ONNX export could not find a valid path to the inputs of the model. To make the export work you need to use opset\_version 12 and comment this output in this line: >