RLOR-TSP / envs /vrp_data.py
Patrick WAN
initial commit
52933b5
import logging
import pickle
import numpy as np
root_dir = "/home/cwan5/OR/attention-learn-to-route/data/vrp/"
def load(filename, root_dir=root_dir):
return pickle.load(open(root_dir + filename, "rb"))
file_catalog = {
"test": {
20: "vrp20_test_seed1234.pkl",
50: "vrp50_test_seed1234.pkl",
100: "vrp100_test_seed1234.pkl",
},
"eval": {
20: "vrp20_validation_seed4321.pkl",
50: "vrp50_validation_seed4321.pkl",
100: "vrp100_validation_seed4321.pkl",
},
}
def make_instance(args):
depot, loc, demand, capacity, *args = args
grid_size = 1
if len(args) > 0:
depot_types, customer_types, grid_size = args
return {
"loc": np.array(loc) / grid_size,
"demand": np.array(demand) / capacity,
"depot": np.array(depot) / grid_size,
}
class lazyClass:
data = {
"test": {},
"eval": {},
}
def __getitem__(self, index):
partition, nodes, idx = index
if not (partition in self.data) or not (nodes in self.data[partition]):
logging.warning(
f"Data sepecified by ({partition}, {nodes}) was not initialized. Attepmting to load it for the first time."
)
data = load(file_catalog[partition][nodes])
self.data[partition][nodes] = [make_instance(instance) for instance in data]
return self.data[partition][nodes][idx]
VRPDataset = lazyClass()