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Resolution pb memoire apres 1 epoch (Batch size test)

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Harle, Antoine (Contracteur) 2020-01-17 15:12:28 -05:00
parent 5dd0e6ad82
commit b67ec3c469
1 changed files with 3 additions and 3 deletions
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6
higher/datasets.py
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@ -3,8 +3,8 @@ from torch.utils.data import SubsetRandomSampler
import torchvision
BATCH_SIZE = 300
#TEST_SIZE = 300
TEST_SIZE = 10000
TEST_SIZE = 300
#TEST_SIZE = 10000 #legerement +Rapide / + Consomation memoire !
#ATTENTION : Dataug (Kornia) Expect image in the range of [0, 1]
#transform_train = torchvision.transforms.Compose([
@ -35,7 +35,7 @@ import augmentation_transforms
import numpy as np
download_data=False
num_workers=0
num_workers=4 #16
pin_memory=False
class AugmentedDataset(VisionDataset):