training_initialize
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53
deepPathPlan/PathNet/course.py
Executable file
53
deepPathPlan/PathNet/course.py
Executable file
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import torch
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def read_wei_course(epoch):
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if(epoch >=0):
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wei_anchors = torch.tensor(1.0)
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wei_arc = torch.tensor(0.0)
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wei_uni = torch.tensor(0.0)
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wei_pos = torch.tensor(5.0)
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wei_hol = torch.tensor(0.0)
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wei_rot = torch.tensor(5.0)
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wei_cur = torch.tensor(0.0)
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wei_safety = torch.tensor(0.0)
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wei_rsm = torch.tensor(0.0)
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if(epoch >=1):
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wei_anchors = torch.tensor(1.0)
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wei_arc = torch.tensor(0.05)
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wei_uni = torch.tensor(10.0)
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wei_pos = torch.tensor(5.0)
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wei_hol = torch.tensor(10.0)
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wei_rot = torch.tensor(5.0)
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wei_cur = torch.tensor(0.0)
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wei_safety = torch.tensor(0.0)
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wei_rsm = torch.tensor(0.0)
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if(epoch >=2):
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wei_anchors = torch.tensor(1.0)
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wei_arc = torch.tensor(0.5)
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wei_uni = torch.tensor(100.0)
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wei_pos = torch.tensor(5.0)
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wei_hol = torch.tensor(100.0)
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wei_rot = torch.tensor(5.0)
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wei_cur = torch.tensor(5.0)
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wei_safety = torch.tensor(0.0)
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wei_rsm = torch.tensor(0.5)
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if(epoch >=3):
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wei_anchors = torch.tensor(1.0)
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wei_arc = torch.tensor(0.5)
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wei_uni = torch.tensor(100.0)
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wei_pos = torch.tensor(5.0)
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wei_hol = torch.tensor(200.0)
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wei_rot = torch.tensor(5.0)
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wei_cur = torch.tensor(500.0)
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wei_safety = torch.tensor(0.0)
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wei_rsm = torch.tensor(0.25)
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if(epoch >=4):
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wei_anchors = torch.tensor(1.0)
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wei_arc = torch.tensor(0.5)
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wei_uni = torch.tensor(100.0)
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wei_pos = torch.tensor(5.0)
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wei_hol = torch.tensor(500.0)
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wei_rot = torch.tensor(5.0)
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wei_cur = torch.tensor(500.0)
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wei_safety = torch.tensor(500.0)
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wei_rsm = torch.tensor(0.5)
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return wei_anchors, wei_arc, wei_uni, wei_pos, wei_hol, wei_rot, wei_cur, wei_safety, wei_rsm
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