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402 - remove squeeze for 1-D array #60

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Merged
MorvanZhou merged 1 commit into from
Nov 13, 2018
Merged

402 - remove squeeze for 1-D array #60

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6 changes: 3 additions & 3 deletions tutorial-contents/402_RNN_classifier.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,7 @@
# convert test data into Variable, pick 2000 samples to speed up testing
test_data = dsets.MNIST(root='./mnist/', train=False, transform=transforms.ToTensor())
test_x = test_data.test_data.type(torch.FloatTensor)[:2000]/255. # shape (2000, 28, 28) value in range(0,1)
test_y = test_data.test_labels.numpy().squeeze()[:2000] # covert to numpy array
test_y = test_data.test_labels.numpy()[:2000] # covert to numpy array


class RNN(nn.Module):
Expand Down Expand Up @@ -94,13 +94,13 @@ def forward(self, x):

if step % 50 == 0:
test_output = rnn(test_x) # (samples, time_step, input_size)
pred_y = torch.max(test_output, 1)[1].data.numpy().squeeze()
pred_y = torch.max(test_output, 1)[1].data.numpy()
accuracy = float((pred_y == test_y).astype(int).sum()) / float(test_y.size)
print('Epoch: ', epoch, '| train loss: %.4f' % loss.data.numpy(), '| test accuracy: %.2f' % accuracy)

# print 10 predictions from test data
test_output = rnn(test_x[:10].view(-1, 28, 28))
pred_y = torch.max(test_output, 1)[1].data.numpy().squeeze()
pred_y = torch.max(test_output, 1)[1].data.numpy()
print(pred_y, 'prediction number')
print(test_y[:10], 'real number')