X-Git-Url: https://www.fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=pysvrt.git;a=blobdiff_plain;f=vignette_set.py;h=c46beea3b2a809fcd7ff49db2be0e6d0d6bd992e;hp=72880bab74b2041a013f3bb2048ca50d8e54488c;hb=abbbb61852f54e90df6ac5b5f4dcb71d06f88f49;hpb=605697b42bdf62c0d8a6715d43ab40b7446e9af2

diff --git a/vignette_set.py b/vignette_set.py
index 72880ba..c46beea 100755
--- a/vignette_set.py
+++ b/vignette_set.py
@@ -32,11 +32,12 @@ import svrt
 ######################################################################
 
 def generate_one_batch(s):
-    svrt.seed(s)
-    target = torch.LongTensor(self.batch_size).bernoulli_(0.5)
+    problem_number, batch_size, cuda, random_seed = s
+    svrt.seed(random_seed)
+    target = torch.LongTensor(batch_size).bernoulli_(0.5)
     input = svrt.generate_vignettes(problem_number, target)
     input = input.float().view(input.size(0), 1, input.size(1), input.size(2))
-    if self.cuda:
+    if cuda:
         input = input.cuda()
         target = target.cuda()
     return [ input, target ]
@@ -50,13 +51,16 @@ class VignetteSet:
         self.nb_batches = nb_batches
         self.nb_samples = self.nb_batches * self.batch_size
 
-        seed_list = torch.LongTensor(self.nb_batches).random_().tolist()
+        seeds = torch.LongTensor(self.nb_batches).random_()
+        mp_args = []
+        for b in range(0, self.nb_batches):
+            mp_args.append( [ problem_number, batch_size, cuda, seeds[b] ])
 
         # self.data = []
         # for b in range(0, self.nb_batches):
-            # self.data.append(generate_one_batch(seed_list[b]))
+            # self.data.append(generate_one_batch(mp_args[b]))
 
-        self.data = Pool(cpu_count()).map(generate_one_batch, seed_list)
+        self.data = Pool(cpu_count()).map(generate_one_batch, mp_args)
 
         acc = 0.0
         acc_sq = 0.0