Convert DEM to dask array.

climax/core/dataset.py

@@ -58,7 +58,7 @@ class EoDataset(torch.utils.data.Dataset):
         ----------
         feature : :py:class:`numpy.ndarray`
             The cyclcical feature to encode.
-        max_val : TYPE
+        max_val : `float`
             Maximum physically possible value of ``feature``.
 
         Returns
@@ -148,9 +148,9 @@ class EoDataset(torch.utils.data.Dataset):
             alg='Horn').ReadAsArray().astype(np.float32)
 
         # scale digital elevation model to range [0-1]
-        dem = _scale(img2np(dem).astype(np.float32))
-        slope = _scale(slope)
-        aspect= _scale(aspect)
+        dem = da.asarray(_scale(img2np(dem).astype(np.float32)))
+        slope = da.asarray(_scale(slope))
+        aspect= da.asarray(_scale(aspect))
 
         # digital elevation model features: elevation, slope and aspect
         dem_vars = {