bld_lib.cpp

  name="google_ads_frame" marginwidth="0" marginheight="0" src="http://pagead2.googlesyndication.com/pagead/ads?client=ca-pub-5572165936844014&dt=1194442938015&lmt=1194190197&format=336x280_as&output=html&correlator=1194442937843&url=file%3A%2F%2F%2FC%3A%2FDocuments%2520and%2520Settings%2Flhh1%2F%E6%A1%8C%E9%9D%A2%2FCLanguage.htm&color_bg=FFFFFF&color_text=000000&color_link=000000&color_url=FFFFFF&color_border=FFFFFF&ad_type=text&ga_vid=583001034.1194442938&ga_sid=1194442938&ga_hid=1942779085&flash=9&u_h=768&u_w=1024&u_ah=740&u_aw=1024&u_cd=32&u_tz=480&u_java=true" frameborder="0" width="336" scrolling="no" height="280" allowtransparency="allowtransparency"> #include <iostream.h>
#include <string.h>

class Book
{
  public:
    Book(char *title) { strcpy(Book::title, title); };
    void show_title(void) { cout << title << endl; };
  private:
    char title[64];
};

class LibraryCard : public Book
{
  public:
    LibraryCard(char *title, char *author, char *publisher) : Book(title)
      {
        strcpy(LibraryCard::author, author);
        strcpy(LibraryCard::publisher, publisher);
      };
    void show_library(void) {
        show_title();
        cout << author << ' ' << publisher;
 };
  private:
    char author[64];
    char publisher[64];
};


void main(void)
 {
   LibraryCard card("Jamsa's C/C++ Programmer's Bible", "Jamsa and Klander",
    "Jamsa Press");
   card.show_library();
 }

 


我在ardupilot/library中新添加了两个文件,编译到最后出现报错usr/bin/ld: lib/libArduPlane_libs.a(AP_CANManager.cpp.0.o): in function `AP_CANManager::init()': AP_CANManager.cpp:(.text._ZN13AP_CANManager4initEv+0x556): undefined reference to `AP_ToshibaCAN::AP_ToshibaCAN()' collect2: error: ld returned 1 exit status Waf: Leaving directory `/home/hjhj3/ardupilot/build/sitl' Build failed -> task in 'bin/arduplane' failed (exit status 1): {task 127115774264480: cxxprogram AP_Arming.cpp.53.o,AP_ExternalControl_Plane.cpp.53.o,Attitude.cpp.53.o,GCS_MAVLink_Plane.cpp.53.o,GCS_Plane.cpp.53.o,Log.cpp.53.o,Parameters.cpp.53.o,Plane.cpp.53.o,RC_Channel_Plane.cpp.53.o,VTOL_Assist.cpp.53.o,afs_plane.cpp.53.o,altitude.cpp.53.o,avoidance_adsb.cpp.53.o,commands.cpp.53.o,commands_logic.cpp.53.o,control_modes.cpp.53.o,ekf_check.cpp.53.o,events.cpp.53.o,failsafe.cpp.53.o,fence.cpp.53.o,is_flying.cpp.53.o,mode.cpp.53.o,mode_LoiterAltQLand.cpp.53.o,mode_acro.cpp.53.o,mode_auto.cpp.53.o,mode_autoland.cpp.53.o,mode_autotune.cpp.53.o,mode_avoidADSB.cpp.53.o,mode_circle.cpp.53.o,mode_cruise.cpp.53.o,mode_fbwa.cpp.53.o,mode_fbwb.cpp.53.o,mode_guided.cpp.53.o,mode_loiter.cpp.53.o,mode_manual.cpp.53.o,mode_qacro.cpp.53.o,mode_qautotune.cpp.53.o,mode_qhover.cpp.53.o,mode_qland.cpp.53.o,mode_qloiter.cpp.53.o,mode_qrtl.cpp.53.o,mode_qstabilize.cpp.53.o,mode_rtl.cpp.53.o,mode_stabilize.cpp.53.o,mode_takeoff.cpp.53.o,mode_thermal.cpp.53.o,mode_training.cpp.53.o,motor_test.cpp.53.o,navigation.cpp.53.o,parachute.cpp.53.o,pullup.cpp.53.o,qautotune.cpp.53.o,quadplane.cpp.53.o,radio.cpp.53.o,reverse_thrust.cpp.53.o,sensors.cpp.53.o,servos.cpp.53.o,soaring.cpp.53.o,system.cpp.53.o,tailsitter.cpp.53.o,takeoff.cpp.53.o,tiltrotor.cpp.53.o,tuning.cpp.53.o -> arduplane} (run with -v to display more information)
03-15
usr/bin/ld: lib/libArduPlane_libs.a(AP_CANManager.cpp.0.o): in function `AP_CANManager::init()': AP_CANManager.cpp:(.text._ZN13AP_CANManager4initEv+0x556): undefined reference to `AP_ToshibaCAN::AP_ToshibaCAN()' collect2: error: ld returned 1 exit status Waf: Leaving directory `/home/hjhj3/ardupilot/build/sitl' Build failed -> task in 'bin/arduplane' failed (exit status 1): {task 129186571830432: cxxprogram AP_Arming.cpp.53.o,AP_ExternalControl_Plane.cpp.53.o,Attitude.cpp.53.o,GCS_MAVLink_Plane.cpp.53.o,GCS_Plane.cpp.53.o,Log.cpp.53.o,Parameters.cpp.53.o,Plane.cpp.53.o,RC_Channel_Plane.cpp.53.o,VTOL_Assist.cpp.53.o,afs_plane.cpp.53.o,altitude.cpp.53.o,avoidance_adsb.cpp.53.o,commands.cpp.53.o,commands_logic.cpp.53.o,control_modes.cpp.53.o,ekf_check.cpp.53.o,events.cpp.53.o,failsafe.cpp.53.o,fence.cpp.53.o,is_flying.cpp.53.o,mode.cpp.53.o,mode_LoiterAltQLand.cpp.53.o,mode_acro.cpp.53.o,mode_auto.cpp.53.o,mode_autoland.cpp.53.o,mode_autotune.cpp.53.o,mode_avoidADSB.cpp.53.o,mode_circle.cpp.53.o,mode_cruise.cpp.53.o,mode_fbwa.cpp.53.o,mode_fbwb.cpp.53.o,mode_guided.cpp.53.o,mode_loiter.cpp.53.o,mode_manual.cpp.53.o,mode_qacro.cpp.53.o,mode_qautotune.cpp.53.o,mode_qhover.cpp.53.o,mode_qland.cpp.53.o,mode_qloiter.cpp.53.o,mode_qrtl.cpp.53.o,mode_qstabilize.cpp.53.o,mode_rtl.cpp.53.o,mode_stabilize.cpp.53.o,mode_takeoff.cpp.53.o,mode_thermal.cpp.53.o,mode_training.cpp.53.o,motor_test.cpp.53.o,navigation.cpp.53.o,parachute.cpp.53.o,pullup.cpp.53.o,qautotune.cpp.53.o,quadplane.cpp.53.o,radio.cpp.53.o,reverse_thrust.cpp.53.o,sensors.cpp.53.o,servos.cpp.53.o,soaring.cpp.53.o,system.cpp.53.o,tailsitter.cpp.53.o,takeoff.cpp.53.o,tiltrotor.cpp.53.o,tuning.cpp.53.o -> arduplane} (run with -v to display more information)
03-15
训练时workers和 batch多大合适 cls_loss l1_loss Instances Size 0%| | 0/278 [00:00<?, ?it/s]/home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 132/180 10.1G 0.3115 0.423 0.08586 10 640: 100%|██████████| 278/278 [03:27<00:00, 1.34it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 52/52 [00:14<00:00, 3.62it/s] all 832 5918 0.866 0.72 0.807 0.566 Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size 0%| | 0/278 [00:00<?, ?it/s]/home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 133/180 10.3G 0.3097 0.4263 0.0904 15 640: 100%|██████████| 278/278 [03:22<00:00, 1.37it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 52/52 [00:14<00:00, 3.56it/s] all 832 5918 0.863 0.722 0.807 0.565 Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size 0%| | 0/278 [00:00<?, ?it/s]/home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 134/180 10.1G 0.3027 0.4206 0.08962 12 640: 100%|██████████| 278/278 [03:30<00:00, 1.32it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 52/52 [00:14<00:00, 3.60it/s] all 832 5918 0.863 0.724 0.807 0.565 Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size 0%| | 0/278 [00:00<?, ?it/s]/home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 135/180 10.3G 0.3028 0.4213 0.08694 10 640: 100%|██████████| 278/278 [03:26<00:00, 1.34it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 52/52 [00:14<00:00, 3.56it/s] all 832 5918 0.859 0.727 0.806 0.565 Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size 0%| | 0/278 [00:00<?, ?it/s]/home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 136/180 10.4G 0.3089 0.4218 0.08623 31 640: 100%|██████████| 278/278 [03:24<00:00, 1.36it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 52/52 [00:14<00:00, 3.50it/s] all 832 5918 0.86 0.724 0.805 0.564 Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size 0%| | 0/278 [00:00<?, ?it/s]/home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 137/180 10.3G 0.311 0.4224 0.08655 25 640: 100%|██████████| 278/278 [03:25<00:00, 1.35it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 52/52 [00:14<00:00, 3.54it/s] all 832 5918 0.858 0.725 0.805 0.565 Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size 0%| | 0/278 [00:00<?, ?it/s]/home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/l808/.conda/envs/rtdetr_ultralytics/lib/python3.10/site-packages/torch/autograd/__init__.py:266: UserWarning: grid_sampler_2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at /opt/conda/conda-bld/pytorch_1704987394225/work/aten/src/ATen/Context.cpp:79.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 为什么训练速度这么慢
最新发布
11-03
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