502 - remove squeeze for 1-D tensor
This commit is contained in:
@ -68,7 +68,7 @@ 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].cuda().data.squeeze() # move the computation in GPU
|
pred_y = torch.max(test_output, 1)[1].cuda().data # move the computation in GPU
|
||||||
|
|
||||||
accuracy = torch.sum(pred_y == test_y).type(torch.FloatTensor) / test_y.size(0)
|
accuracy = torch.sum(pred_y == test_y).type(torch.FloatTensor) / test_y.size(0)
|
||||||
print('Epoch: ', epoch, '| train loss: %.4f' % loss.data.cpu().numpy(), '| test accuracy: %.2f' % accuracy)
|
print('Epoch: ', epoch, '| train loss: %.4f' % loss.data.cpu().numpy(), '| test accuracy: %.2f' % accuracy)
|
||||||
@ -77,7 +77,7 @@ 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].cuda().data.squeeze() # move the computation in GPU
|
pred_y = torch.max(test_output, 1)[1].cuda().data # move the computation in GPU
|
||||||
|
|
||||||
print(pred_y, 'prediction number')
|
print(pred_y, 'prediction number')
|
||||||
print(test_y[:10], 'real number')
|
print(test_y[:10], 'real number')
|
||||||
|
|||||||
Reference in New Issue
Block a user