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Fix some bugs and add .gitignore. #5

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Fix some bugs and add .gitignore. #5

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5ec9307
bugfix mdcvrp
kakky-hacker Sep 5, 2023
929ba1f
add gitignore
kakky-hacker Sep 5, 2023
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2 changes: 2 additions & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
@@ -0,0 +1,2 @@
*.pt
*.pyc
2 changes: 1 addition & 1 deletion MDCVRP/VRP_Actor.py
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Expand Up @@ -209,7 +209,7 @@ def __init__(self, input_dim, hidden_dim):

def forward(self, encoder_inputs, pool,capcity,demand, n_steps,num_depots,T, greedy=False):
num_depot = num_depots
print(num_depot)
#print(num_depot)
mask1 = encoder_inputs.new_zeros((encoder_inputs.size(0), encoder_inputs.size(1)))
mask = encoder_inputs.new_zeros((encoder_inputs.size(0), encoder_inputs.size(1)))

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3 changes: 2 additions & 1 deletion MDCVRP/VRP_Rollout_train.py
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Expand Up @@ -16,6 +16,7 @@

device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
#device = torch.device('cpu')
num_depots=2
n_nodes = 22#nodes = nodes + depots
steps = n_nodes
def rollout(model, dataset,batch_size, n_nodes):
Expand Down Expand Up @@ -91,7 +92,7 @@ def get_runs(params):
scheduler = LambdaLR(actor_optim, lr_lambda=lambda f: 0.96 ** epoch)
for batch_idx, batch in enumerate(data_loder):
batch = batch.to(device)
tour_indices, tour_logp = actor(batch,steps*2)
tour_indices, tour_logp = actor(batch,steps*2,num_depots)

rewar = reward1(batch.x, tour_indices.detach(),n_nodes)
base_reward = rol_baseline.eval(batch,steps)
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4 changes: 2 additions & 2 deletions MDCVRP/creat_vrp.py
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Expand Up @@ -148,8 +148,8 @@ def c_dist(x1,x2):
def reward1(static, tour_indices,n_nodes):

static = static.reshape(-1,n_nodes,2)
print(static.shape)
static = torch.from_numpy(static).to('cuda')
#print(static.shape)
static = static.to('cuda')
static = static.transpose(2,1)

tour_indices_1 = deepcopy(tour_indices)
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