update affines for NAS
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@@ -22,7 +22,7 @@ class TinyNetwork(nn.Module):
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self.cells = nn.ModuleList()
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for index, (C_curr, reduction) in enumerate(zip(layer_channels, layer_reductions)):
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if reduction:
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cell = ResNetBasicblock(C_prev, C_curr, 2)
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cell = ResNetBasicblock(C_prev, C_curr, 2, True)
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else:
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cell = InferCell(genotype, C_prev, C_curr, 1)
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self.cells.append( cell )
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