Tensors and Dynamic neural networks in Python with strong GPU acceleration - torch.onnx.export causes floating point exception with core dump for empty slice assignment · pytorch/pytorch@f936e68
Describe the bug "pred_onnx = session.run([hm,hmp,hw,reg], {"input.1": img_data})". the bug occurs in this step. the error is "Floating point exception(core dumped) Urgency the deadline is the after tommorrow System information OS Platform and Distribution (e.g., Linux Ubuntu 16.0...
Applies a sub-graph to each sample in the input sequence(s).Inputs can be either tensors or sequences, with the exception of the first input which must be a sequence. The length of the first input sequence will determine the number of samples in the outputs. Any other sequence inputs ...
The only exception is the string case, where one is // required to store the content in the repeated bytes string_data field. // // When this raw_data field is used to store tensor value, elements MUST // be stored in as fixed-width, little-endian order. // Floating-point ...
catch (const std::exception& e) { std::cerr << "Internal Error: " << e.what() << std::endl; return ONNXIFI_STATUS_INTERNAL_ERROR; } catch (...){ return ONNXIFI_STATUS_INTERNAL_ERROR; } } } // namespace ONN...
11. 12. 打印错误来代替None模式,可以帮助我们更好的调整bug。 python是一个动态语言,因此编写代码时需要小心,None是从函数返回的默认值,但不要在任何意外情况下过度使用它,在使用None之前,请考虑是否可以通过引发异常而使得代码更整洁。 python常见异常
If you have access to the data that was used to train the model you can explore quantizing the model. At a high-level,quantizationin ONNX Runtime involves mapping higher precision floating point values to lower precision 8-bit values. This topic is covered in detail in theONNX performance ...
[docs]@util.check_called_by("__call__")defcall_impl(self):"""Returns:onnx_graphsurgeon.Graph: The ONNX-GraphSurgeon representation of the ONNX model"""model,_=util.invoke_if_callable(self._model)returngs.import_onnx(model) [docs]@mod.export(funcify=True)classOnnxFromPath(BaseLoader)...
} catch (const std::exception &e) { std::cerr << "Internal Error: " << e.what() << std::endl; return ONNXIFI_STATUS_INTERNAL_ERROR; } catch (...) { return ONNXIFI_STATUS_INTERNAL_ERROR; } } } // namespace ONNXIFI_PUBLIC ONNXIFI_CHECK_RESULT onnxStatus ONNXIFI...
The only exception is the string case, where one is // required to store the content in the repeated bytes string_data field. // // When this raw_data field is used to store tensor value, elements MUST // be stored in as fixed-width, little-endian order. // Floating-point da...