Reduce num_workers to 0

Author: svekars

.jenkins/validate_tutorials_built.py

@@ -15,7 +15,6 @@
     "beginner_source/profiler",
     "beginner_source/saving_loading_models",
     "beginner_source/introyt/captumyt",
-    "beginner_source/introyt/introyt1_tutorial",
     "beginner_source/examples_nn/polynomial_module",
     "beginner_source/examples_nn/dynamic_net",
     "beginner_source/examples_nn/polynomial_optim",

beginner_source/introyt/introyt1_tutorial.py

@@ -358,7 +358,7 @@ def num_flat_features(self, x):
 # 
 
 trainloader = torch.utils.data.DataLoader(trainset, batch_size=4,
-                                          shuffle=True, num_workers=2)
+                                          shuffle=True, num_workers=0)
 
 
 ##########################################################################
@@ -436,12 +436,12 @@ def imshow(img):
 trainset = torchvision.datasets.CIFAR10(root='./data', train=True,
                                         download=True, transform=transform)
 trainloader = torch.utils.data.DataLoader(trainset, batch_size=4,
-                                          shuffle=True, num_workers=2)
+                                          shuffle=True, num_workers=0)
 
 testset = torchvision.datasets.CIFAR10(root='./data', train=False,
                                        download=True, transform=transform)
 testloader = torch.utils.data.DataLoader(testset, batch_size=4,
-                                         shuffle=False, num_workers=2)
+                                         shuffle=False, num_workers=0)
 
 classes = ('plane', 'car', 'bird', 'cat',
            'deer', 'dog', 'frog', 'horse', 'ship', 'truck')