dd766c68d9
LeakyReLU returns a tensor with float64 dtype.
It is stupid, but this line actually produces a float64 array:
```
0.5*np.array(0.2, dtype=np.float32)
```
The theano nnet.relu function does something similar like this with the
LeakyReLU alpha parameter, which lead to a float64 tensor.
The solution is to not cast the alpha to float32.
Furthermore I tighten the `test_utils.layer_test`. It is now
required that the layer's output dtype is equal to the input dtype.
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| .. | ||
| integration_tests | ||
| keras | ||
| test_loss_masking.py | ||
| test_loss_weighting.py | ||