我使用最新的yolov5m.pt转换成wts格式后，可以成功编译，但是无法生成引擎
出现了如下错误：

Loading weights: ./yolov5m.wts
yolov5-m2: ../yolov5-m2/common.hpp:128：std::map<std::__cxx11::basic_string<char>, nvinfer1::Weights> loadWeights(std::__cxx11::string): 假设 ‘input.is_open() && "Unable to load weight file."’ 失败。
程序异常结束。

我之前使用wangxinyu的yolov5s可以成功生成引擎，应该不是环境问题吧？
我对比了我们的运行环境，是一致的。
感谢您的帮助

./yolov5x -s
Loading weights: ../yolov5x.wts
[07/24/2020-15:40:23] [E] [TRT] Parameter check failed at: ../builder/Network.cpp::addScale::434, condition: shift.count > 0 ? (shift.values != nullptr) : (shift.values == nullptr)
yolov5x: /home/admin/Projects/tensorrtx/yolov5x/common.hpp:189: nvinfer1::IScaleLayer* addBatchNorm2d(nvinfer1::INetworkDefinition*, std::map<std::__cxx11::basic_string, nvinfer1::Weights>&, nvinfer1::ITensor&, std::__cxx11::string, float): Assertion `scale_1' failed.
Aborted (core dumped)

[ 25%] Building NVCC (Device) object CMakeFiles/yololayer.dir/yololayer_generated_yololayer.cu.o
/home/yolov5_tensorrt/yolov5s/yololayer.h(103): warning: function "nvinfer1::IPluginV2Ext::configurePlugin(const nvinfer1::Dims *, int, const nvinfer1::Dims *, int, const nvinfer1::DataType *, const nvinfer1::DataType *, const __nv_bool *, const __nv_bool *, nvinfer1::PluginFormat, int)" is hidden by "nvinfer1::YoloLayerPlugin::configurePlugin" -- virtual function override intended?

/home/yolov5_tensorrt/yolov5s/yololayer.h(103): warning: function "nvinfer1::IPluginV2Ext::configurePlugin(const nvinfer1::Dims *, int, const nvinfer1::Dims *, int, const nvinfer1::DataType *, const nvinfer1::DataType *, const bool *, const bool *, nvinfer1::PluginFormat, int)" is hidden by "nvinfer1::YoloLayerPlugin::configurePlugin" -- virtual function override intended?

Scanning dependencies of target yololayer
[ 50%] Linking CXX shared library libyololayer.so
[ 50%] Built target yololayer
Scanning dependencies of target yolov5s
[ 75%] Building CXX object CMakeFiles/yolov5s.dir/yolov5s.cpp.o
In file included from /usr/include/c++/4.8.2/algorithm:62:0,
from /usr/local/include/opencv2/core/base.hpp:55,
from /usr/local/include/opencv2/core.hpp:54,
from /usr/local/include/opencv2/opencv.hpp:52,
from /home/yolov5_tensorrt/yolov5s/common.hpp:8,
from /home/yolov5_tensorrt/yolov5s/yolov5s.cpp:5:
/usr/include/c++/4.8.2/bits/stl_algo.h: In instantiation of '_RandomAccessIterator std::__unguarded_partition(_RandomAccessIterator, _RandomAccessIterator, const _Tp&, _Compare) [with _RandomAccessIterator = __gnu_cxx::__normal_iterator<Yolo::Detection*, std::vectorYolo::Detection >; _Tp = Yolo::Detection; _Compare = bool ()(Yolo::Detection&, Yolo::Detection&)]':
/usr/include/c++/4.8.2/bits/stl_algo.h:2296:78: required from '_RandomAccessIterator std::__unguarded_partition_pivot(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = __gnu_cxx::__normal_iterator<Yolo::Detection, std::vectorYolo::Detection >; _Compare = bool ()(Yolo::Detection&, Yolo::Detection&)]'
/usr/include/c++/4.8.2/bits/stl_algo.h:2337:62: required from 'void std::__introsort_loop(_RandomAccessIterator, _RandomAccessIterator, _Size, _Compare) [with _RandomAccessIterator = __gnu_cxx::__normal_iterator<Yolo::Detection, std::vectorYolo::Detection >; _Size = long int; _Compare = bool ()(Yolo::Detection&, Yolo::Detection&)]'
/usr/include/c++/4.8.2/bits/stl_algo.h:5499:44: required from 'void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = __gnu_cxx::__normal_iterator<Yolo::Detection, std::vectorYolo::Detection >; _Compare = bool ()(Yolo::Detection&, Yolo::Detection&)]'
/home/yolov5_tensorrt/yolov5s/common.hpp:106:48: required from here
/usr/include/c++/4.8.2/bits/stl_algo.h:2263:35: error: invalid initialization of reference of type 'Yolo::Detection&' from expression of type 'const Yolo::Detection'
while (__comp(__first, __pivot))
^
compilation terminated due to -Wfatal-errors.
make[2]: *** [CMakeFiles/yolov5s.dir/yolov5s.cpp.o] Error 1
make[1]: *** [CMakeFiles/yolov5s.dir/all] Error 2
make: *** [all] Error 2

我用的tensorrt版本是7.0.0.11,opencv的版本是3.4.10

我使用yolov5 v1.0训练了yolov5s模型，然后进行序列化，得到以下信息：

Loading weights: ../yolov5s.wts
[07/31/2020-11:37:13] [E] [TRT] (Unnamed Layer* 173) [Convolution]: kernel weights has count 2304 but 32640 was expected
[07/31/2020-11:37:13] [E] [TRT] (Unnamed Layer* 173) [Convolution]: count of 2304 weights in kernel, but kernel dimensions (1,1) with 128 input channels, 255 output channels and 1 groups were specified. Expected Weights count is 128 * 1*1 * 255 / 1 = 32640
[07/31/2020-11:37:13] [E] [TRT] (Unnamed Layer* 173) [Convolution]: kernel weights has count 2304 but 32640 was expected
[07/31/2020-11:37:13] [E] [TRT] (Unnamed Layer* 173) [Convolution]: count of 2304 weights in kernel, but kernel dimensions (1,1) with 128 input channels, 255 output channels and 1 groups were specified. Expected Weights count is 128 * 1*1 * 255 / 1 = 32640
[07/31/2020-11:37:13] [E] [TRT] (Unnamed Layer* 173) [Convolution]: kernel weights has count 2304 but 32640 was expected
[07/31/2020-11:37:13] [E] [TRT] (Unnamed Layer* 173) [Convolution]: count of 2304 weights in kernel, but kernel dimensions (1,1) with 128 input channels, 255 output channels and 1 groups were specified. Expected Weights count is 128 * 1*1 * 255 / 1 = 32640
[07/31/2020-11:37:13] [E] [TRT] (Unnamed Layer* 173) [Convolution]: kernel weights has count 2304 but 32640 was expected
[07/31/2020-11:37:13] [E] [TRT] (Unnamed Layer* 173) [Convolution]: count of 2304 weights in kernel, but kernel dimensions (1,1) with 128 input channels, 255 output channels and 1 groups were specified. Expected Weights count is 128 * 1*1 * 255 / 1 = 32640
Building engine, please wait for a while...
[07/31/2020-11:37:13] [E] [TRT] (Unnamed Layer* 173) [Convolution]: kernel weights has count 2304 but 32640 was expected
[07/31/2020-11:37:13] [E] [TRT] (Unnamed Layer* 173) [Convolution]: count of 2304 weights in kernel, but kernel dimensions (1,1) with 128 input channels, 255 output channels and 1 groups were specified. Expected Weights count is 128 * 1*1 * 255 / 1 = 32640
[07/31/2020-11:37:13] [E] [TRT] Could not compute dimensions for (Unnamed Layer* 173) [Convolution]_output, because the network is not valid.
[07/31/2020-11:37:13] [E] [TRT] Network validation failed.
Build engine successfully!
yolov5s: yolov5_tensorrt/yolov5s/yolov5s.cpp:170: void APIToModel(unsigned int, nvinfer1::IHostMemory**): Assertion `engine != nullptr' failed.
已放弃 (核心已转储)

请帮我看一下大概是什么问题，谢谢了。