update affines for NAS
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		| @@ -19,9 +19,9 @@ class InferCell(nn.Module): | ||||
|       cur_innod = [] | ||||
|       for (op_name, op_in) in node_info: | ||||
|         if op_in == 0: | ||||
|           layer = OPS[op_name](C_in , C_out, stride) | ||||
|           layer = OPS[op_name](C_in , C_out, stride, True) | ||||
|         else: | ||||
|           layer = OPS[op_name](C_out, C_out,      1) | ||||
|           layer = OPS[op_name](C_out, C_out,      1, True) | ||||
|         cur_index.append( len(self.layers) ) | ||||
|         cur_innod.append( op_in ) | ||||
|         self.layers.append( layer ) | ||||
|   | ||||
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