针对“failed to parse onnx model”的错误,以下是一些可能的解决步骤和原因分析: 检查ONNX模型文件是否完整且未损坏: 确保模型文件在传输或下载过程中没有被损坏。 使用文件操作函数检查文件是否存在,例如使用Python的os.path.exists函数: python import os model_path = 'path/to/your/model.onnx' if not os...
/home/vxking/mmdeploy_ws/mmdeploy/mmdeploy/mmcv/ops/nms.py:149: 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 th...
using yolov5 export file, python3 export.py --weights yolov5m_shear.pt --include onnx --data coco128.yaml --device 0 --batch-size 4 Convert batch parameter to 'b' using dynmic.py. use the following trtexec command for conversion (change the input resolution and batch size accordingly)...
RuntimeError: Failed to export an ONNX attribute, since it’s not constant, please try to make things (e.g., kernel size) static if possible 解决方案 将pytorch转到1.0.1版本解决了。
pytorch -> onnx 报错:RuntimeError: block->inputs().size() >= num_initializers ASSERT FAILED 参考:https://github.com/pytorch/pytorch/issues/8392 原因:在用 pytorch pretrained resnet 模型时,下面红框中的赋值部分,其实是引用 resnet,而不是显示的 layer 定义。
File "/home/xyj/.local/lib/python3.6/site-packages/torch/onnx/symbolic.py", line 90, in _parse_arg raise RuntimeError("Failed to export an ONNX attribute, " RuntimeError: Failed to export an ONNX attribute, since it's not constant, please try to make things (e.g., kernel size)...
onnx中最新的版本好像也是没有AdaptiveAvgPool2d的 因为pytorch是动态尺寸的,所以有AdaptiveAvgPool2d,首先要固定尺寸进行推理 将AdaptiveAvgPool2d替换成AvgPool2d 参考自:javascript:void(0) import torch as t import math import numpy as np alist = t.randn(2,6,7) ...
input_format=NCHW --output="/root/tmp/1727235963594/Ascend310B1/URD360_Handle" --soc_version=Ascend310B1 --dynamic_image_size="4000,448;240,944" --insert_op_conf=/root/modelzoo/URD360_Handle/Ascend310B1/insert_op.cfg --framework=5 --model="/root/tmp/1727234990679/URD360_Handle.onnx"...
[libprotobuf ERROR google/protobuf/text_format.cc:298] Error parsing text-format onnx2trt_onnx.ModelProto: 1:3: Expected identifier, got: : Failed to parse ONNX model from file/home/bl/Desktop/Workplace/projects/Meat_st...
ERROR: ModelImporter.cpp:124 In function parseGraph: [5] Assertion failed: ctx->tensors().count(inputName) [07/30/2020-15:39:52] [E] Failed to parse onnx file wanghr323commentedOct 14, 2020 i have solved it. just recompile the newest onnx lib and set opset=11 in trt7. hope it...