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Merge pull request #4 from howtocodewang/patch-1

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Update 502_GPU.py
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Morvan
2017-05-24 12:46:00 +10:00
committed by GitHub
parent d87529ed89 9fb0f5b6c6
commit ca6e7431e9
1 changed files with 4 additions and 4 deletions
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tutorial-contents/502_GPU.py
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@ -26,7 +26,7 @@ test_data = torchvision.datasets.MNIST(root='./mnist/', train=False)
# !!!!!!!! Change in here !!!!!!!!! # # !!!!!!!! Change in here !!!!!!!!! #
test_x = Variable(torch.unsqueeze(test_data.test_data, dim=1)).type(torch.FloatTensor)[:2000].cuda()/255. # Tensor on GPU test_x = Variable(torch.unsqueeze(test_data.test_data, dim=1)).type(torch.FloatTensor)[:2000].cuda()/255. # Tensor on GPU
test_y = test_data.test_labels[:2000] test_y = test_data.test_labels[:2000].cuda()
class CNN(nn.Module): class CNN(nn.Module):
@ -69,7 +69,7 @@ for epoch in range(EPOCH):
test_output = cnn(test_x) test_output = cnn(test_x)
# !!!!!!!! Change in here !!!!!!!!! # # !!!!!!!! Change in here !!!!!!!!! #
pred_y = torch.max(test_output, 1)[1].cup().data.squeeze() # Move to CPU pred_y = torch.max(test_output, 1)[1].cuda().data.squeeze() # Move to CPU
accuracy = sum(pred_y == test_y) / test_y.size(0) accuracy = sum(pred_y == test_y) / test_y.size(0)
print('Epoch: ', epoch, '| train loss: %.4f' % loss.data[0], '| test accuracy: %.2f' % accuracy) print('Epoch: ', epoch, '| train loss: %.4f' % loss.data[0], '| test accuracy: %.2f' % accuracy)
@ -78,7 +78,7 @@ for epoch in range(EPOCH):
test_output = cnn(test_x[:10]) test_output = cnn(test_x[:10])
# !!!!!!!! Change in here !!!!!!!!! # # !!!!!!!! Change in here !!!!!!!!! #
pred_y = torch.max(test_output, 1)[1].cup().data.numpy().squeeze() # Move to CPU pred_y = torch.max(test_output, 1)[1].cuda().data.squeeze() # Move to CPU
print(pred_y, 'prediction number') print(pred_y, 'prediction number')
print(test_y[:10].numpy(), 'real number') print(test_y[:10], 'real number')