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他们的故事以悲剧告终，但是他们之间已经有了某种联系，甚至在他们死后也将他们绑在一起。一对30多岁的夫妇准备了一个假的怀孕相册，以证明他们和他们计划收养的孩子在生理上的联系。　　在他們的工作領域中，唯有先死，後才能有活路，「死去活來」是他們奉行的工作圭臬－－他們是器官捐贈協調師。 　　利恆醫院護理師溫雨讀，在接生完第一千個寶寶後，轉換工作跑道進入器官捐贈移植小組，也結識了移植外科中，行為像落入地球的外星艦長－－江君皓醫師。 　　利恆的器官協調小組經歷了一次次棘手的案例，看見生命的破滅與重生……I have also seen it spray on cars. The fuel burns to extinguish the flame for more than five minutes. When it finally went out, the whole car head was burned by more than half. Although I don't know the specific figure of the temperature, the comrades in the chemical defense class said it was at least 1300-1500 degrees Celsius, so I thought at that time, even the steel plate could melt into the flame of molten iron in a few minutes. It was not a piece of cake to burn this insect. Even if you are much bigger than the average wasp, may there be steel plates that are resistant to burning? After being ignited by the flame, it should be burned to ashes in an instant. But the result was not what I thought. After being ignited, the big wasp was quite resistant to burning. Actually flying around in the air for more than ten seconds before being burned, the air disintegrated and died. But this has become a good thing, It is precisely because it will burn to death for a while. So flying in the air with flames all over it must be either because of the sharp pain, Either they lost their direction because of something else, Anyway, it is flying around in the air, As a result, they hit many of their peers in the process of flying around. Then it ignited the same kind that was hit, If the ignited kind bumps into each other again, To ignite another kind, It just went through a couple of cycles, Most of the big wasps were set on fire, That will burn quickly. The sky is full of the sound of "crackling" burning meat, and there is a smell of barbecue burnt. The black corpses of wasps that have been burned apart and fallen and the corpses of wasps that have been smashed by bullets are piled up most. One foot is thick enough to reach the knee. That scene, I"I can't die, and I have repeated every song of his 18 times in a single."Super Data Manipulator: I am still groping at this stage. I can't give too much advice. I can only give a little experience summarized so far: try to expand the data and see how to deal with it faster and better. Faster-How should distributed mechanisms be trained? Model Parallelism or Data Parallelism? How to reduce the network delay and IO time between machines between multiple machines and multiple cards is a problem to be considered. Better-how to ensure that the loss of accuracy is minimized while increasing the speed? How to change can improve the accuracy and MAP of the model is also worth thinking about.