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本文讲述了一位程序员多年来的职业经历和个人感受,从最初的热爱到逐渐感到迷茫和疲惫,表达了对现实生活的无奈和对理想状态的向往。
[size=medium] 多年前,程序员是多么令我陶醉的一个行业,于是我费尽心思去追随它。
而如今,几年的风头逝去,渐渐地感觉到了好多东西都被那样的一种无形的魔法师。吞噬掉了我的美好生活,吞噬掉了我的思想,吞噬掉了我的感情,吞噬掉了我的一切。现在的我给我留下的是一个如同行尸走肉的生活。
看看朋友们一个个的蜗居了。生活原来是如此的让人哭笑不得,为了你放弃了我们的理想,为了你有人放弃了尊严,为了你有人放弃了生活,为了你我放弃了自己的感情生活。看到灾区的小孩子们觉得他们好可怜,而仔细想想自己反而觉得自己是可怜的。没有感情的生活,没有感情的人就像机器一样的度日难道我不该觉得自己可怜?
遇到灾害的人们,希望我们寄去的爱心能够帮助到你们。和我一样形尸走肉的过着生活的人们,希望我们的朋友们我们关心的人们能够更愉快地生活吧,让生活过得更加精彩。
每天早出晚归,每天为工作起早忙到晚,白天里面在自己最崩溃的时候陪客户冷笑,出差的时候陪客户发牢骚,白天接下自己完不成的任务.晚上要么做着忙不晚的事情,就是一个人在夜里回味自己一天无聊的生活,明天的太阳迎接的是昨天重复的事情。朋友来的时候却没有时间陪,记得我的主管在结婚的前几天还在没日没夜的工作。工作,工作,每天都对着屏幕,生活在虚拟的社会之中,在文字之间去感觉喜、笑、怒、骂。设想到某一天自己居然不知道自己在面对不是虚拟的生活的时候是多么的无助和手足无措。

我多想祈祷上苍:请让我重新来一次吧。
时光的机器请搭我回到过去无忧的时代,看看现在朋友们一个个地无暇管你的问候,上帝呀,你难道也用吞噬别人的感情的手法来满足你玩弄我的目的。

主啊,睁开你明亮的眼睛看看我们周围真挚的朋友们,请你把我昔日的离别的酒杯打碎,请你把我们散去的朋友们还给我。

最后让我回味一下《沉醉东风》经典的文字:

咫尺的天南地北,霎时间月缺花飞。
手执着饯行杯,眼阁着别离泪。
刚道得声保重将息,痛煞煞教人舍不得。
好去者望程万里!

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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
11-03
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