Energy-optimal Routing for Electric Vehicles using Deep Reinforcement Learning with Transformer
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Traceback (most recent call last): File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\run.py", line 102, in <module> main() File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\run.py", line 97, in main train_EVRP(args) File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\trainer.py", line 230, in train_EVRP train_data = VehicleRoutingDataset(args.train_size, File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\problems\EVRP.py", line 89, in __init__ self.distances[:, i] = torch.sqrt(torch.sum(torch.pow(self.static[:,:,i:i+1]-self.static[:,:,:],2),dim=1)) RuntimeError: The expanded size of the tensor (26) must match the existing size (27) at non-singleton dimension 1. Target sizes: [1280000, 26]. Tensor sizes: [1280000, 27] excuse me，Why did I make a mistake in this place #2
Traceback (most recent call last):
File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\run.py", line 102, in
main()
File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\run.py", line 97, in main
train_EVRP(args)
File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\trainer.py", line 230, in train_EVRP
train_data = VehicleRoutingDataset(args.train_size,
File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\problems\EVRP.py", line 89, in init
self.distances[:, i] = torch.sqrt(torch.sum(torch.pow(self.static[:,:,i:i+1]-self.static[:,:,:],2),dim=1))
RuntimeError: The expanded size of the tensor (26) must match the existing size (27) at non-singleton dimension 1. Target sizes: [1280000, 26]. Tensor sizes: [1280000, 27] excuse me，Why did I make a mistake in this place
Traceback (most recent call last): File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\run.py", line 102, in
main()
File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\run.py", line 97, in main
train_EVRP(args)
File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\trainer.py", line 230, in train_EVRP
train_data = VehicleRoutingDataset(args.train_size,
File "D:\gitproject\vrp\DRL-Energy-optimal-Routing-for-Electric-Vehicles-main\DM-EVRP\problems\EVRP.py", line 89, in init
self.distances[:, i] = torch.sqrt(torch.sum(torch.pow(self.static[:,:,i:i+1]-self.static[:,:,:],2),dim=1))
RuntimeError: The expanded size of the tensor (26) must match the existing size (27) at non-singleton dimension 1. Target sizes: [1280000, 26]. Tensor sizes: [1280000, 27] excuse me，Why did I make a mistake in this place