update CVPR-2019-GDAS re-train NASNet-search-space searched models

lib/models/cell_searchs/search_cells.py

@@ -155,7 +155,7 @@ class NASNetSearchCell(nn.Module):
     self.edges     = nn.ModuleDict()
     for i in range(self._steps):
       for j in range(2+i):
-        node_str = '{:}<-{:}'.format(i, j)
+        node_str = '{:}<-{:}'.format(i, j)  # indicate the edge from node-(j) to node-(i+2)
         stride = 2 if reduction and j < 2 else 1
         op = MixedOp(space, C, stride, affine, track_running_stats)
         self.edges[ node_str ] = op

lib/models/cell_searchs/search_model_darts_nasnet.py

@@ -5,8 +5,7 @@ import torch
 import torch.nn as nn
 from copy import deepcopy
 from typing import List, Text, Dict
-from .search_cells     import NASNetSearchCell as SearchCell
-from .genotypes        import Structure
+from .search_cells import NASNetSearchCell as SearchCell
 
 
 # The macro structure is based on NASNet

lib/models/cell_searchs/search_model_gdas_nasnet.py

@@ -4,8 +4,7 @@
 import torch
 import torch.nn as nn
 from copy import deepcopy
-from .search_cells     import NASNetSearchCell as SearchCell
-from .genotypes        import Structure
+from .search_cells import NASNetSearchCell as SearchCell
 
 
 # The macro structure is based on NASNet