agnesnatasya opened a new pull request #712:
URL: https://github.com/apache/singa/pull/712
Implemented the super-resolution model. It generated the picture and I think
it is correct. However, it does not pass this
```
# verify the test
from utils import load_dataset
inputs, ref_outputs = load_dataset(os.path.join('/tmp',
'super_resolution', 'test_data_set_0'))
x_batch = tensor.Tensor(device=dev, data=inputs[0])
outputs = model.forward(x_batch)
for ref_o, o in zip(ref_outputs, outputs):
np.testing.assert_almost_equal(ref_o, tensor.to_numpy(o), 4)
```
It fails on the second line, giving
`ValueError: cannot reshape array of size 451584 into shape (224,224)`
I assume that this test does not hold for this test data set as it has a
different shape. Please correct me if I am wrong.
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