File size: 2,266 Bytes
db26c81 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
from greedrl.feature import *
from greedrl.variable import *
from greedrl import Problem
features = [continuous_feature('task_location'),
variable_feature('distance_this_to_task'),
variable_feature('distance_task_to_end')]
variables = [task_demand_now('task_demand_now', feature='task_demand'),
task_demand_now('task_demand_this', feature='task_demand', only_this=True),
edge_variable('distance_last_to_this', feature='distance_matrix', last_to_this=True),
edge_variable('distance_this_to_task', feature='distance_matrix', this_to_task=True),
edge_variable('distance_task_to_end', feature='distance_matrix', task_to_end=True),
edge_variable('distance_last_to_loop', feature='distance_matrix', last_to_loop=True)]
class Constraint:
def do_task(self):
return self.task_demand_this
def mask_task(self):
# 已经完成的任务
mask = self.task_demand_now <= 0
return mask
def mask_worker_end(self):
return torch.any(self.task_demand_now > 0, 1)
def finished(self):
return torch.all(self.task_demand_now <= 0, 1)
class Objective:
def step_worker_end(self):
return self.distance_last_to_loop
def step_task(self):
return self.distance_last_to_this
def make_problem(batch_count, batch_size=1, task_count=100):
NP = batch_size
NT = task_count
problem_list = []
for i in range(batch_count):
problem = Problem(True)
problem.task_demand = torch.ones(NP, NT, dtype=torch.int32)
loc = torch.rand(NP, NT + 1, 2, dtype=torch.float32)
problem.distance_matrix = torch.norm(loc[:, :, None, :] - loc[:, None, :, :], dim=3)
problem.distance_matrix[0, :] = 0
problem.distance_matrix[:, 0] = 0
problem.task_location = loc[:, 1:]
problem.features = features
problem.variables = variables
problem.constraint = Constraint
problem.objective = Objective
problem_list.append(problem)
return problem_list
if __name__ == '__main__':
import sys
import os.path as osp
sys.path.append(osp.join(osp.dirname(__file__), '../'))
import runner
runner.run(make_problem)
|