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update NAS-Bench-102 baselines

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This commit is contained in:
D-X-Y
2019-12-24 17:36:47 +11:00
parent af4212b4db
commit 44a0d51449
18 changed files with 105 additions and 110 deletions
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5
lib/models/__init__.py
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@@ -20,7 +20,10 @@ def get_cell_based_tiny_net(config):
group_names = ['DARTS-V1', 'DARTS-V2', 'GDAS', 'SETN', 'ENAS', 'RANDOM']
if super_type == 'basic' and config.name in group_names:
from .cell_searchs import nas_super_nets
return nas_super_nets[config.name](config.C, config.N, config.max_nodes, config.num_classes, config.space)
try:
return nas_super_nets[config.name](config.C, config.N, config.max_nodes, config.num_classes, config.space, config.affine, config.track_running_stats)
except:
return nas_super_nets[config.name](config.C, config.N, config.max_nodes, config.num_classes, config.space)
elif super_type == 'l2s-base' and config.name in group_names:
from .l2s_cell_searchs import nas_super_nets
return nas_super_nets[config.name](config.C, config.N, config.max_nodes, config.num_classes, config.space \

3
lib/models/cell_searchs/search_model_gdas.py
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@@ -11,7 +11,8 @@ from .genotypes import Structure
class TinyNetworkGDAS(nn.Module):
def __init__(self, C, N, max_nodes, num_classes, search_space, affine=False, track_running_stats=True):
#def __init__(self, C, N, max_nodes, num_classes, search_space, affine=False, track_running_stats=True):
def __init__(self, C, N, max_nodes, num_classes, search_space, affine, track_running_stats):
super(TinyNetworkGDAS, self).__init__()
self._C = C
self._layerN = N

4
lib/models/cell_searchs/search_model_setn.py
View File

@@ -13,7 +13,7 @@ from .genotypes import Structure
class TinyNetworkSETN(nn.Module):
def __init__(self, C, N, max_nodes, num_classes, search_space):
def __init__(self, C, N, max_nodes, num_classes, search_space, affine, track_running_stats):
super(TinyNetworkSETN, self).__init__()
self._C = C
self._layerN = N
@@ -31,7 +31,7 @@ class TinyNetworkSETN(nn.Module):
if reduction:
cell = ResNetBasicblock(C_prev, C_curr, 2)
else:
cell = SearchCell(C_prev, C_curr, 1, max_nodes, search_space)
cell = SearchCell(C_prev, C_curr, 1, max_nodes, search_space, affine, track_running_stats)
if num_edge is None: num_edge, edge2index = cell.num_edges, cell.edge2index
else: assert num_edge == cell.num_edges and edge2index == cell.edge2index, 'invalid {:} vs. {:}.'.format(num_edge, cell.num_edges)
self.cells.append( cell )