Update features.py
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@@ -220,8 +220,9 @@ class FeatureEncoder(object):
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for fc in self.feature_column_list:
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if isinstance(fc, DenseFeat):
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dense_feature_dict[fc.name] = \
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self.feature_input_layer_dict[fc]
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self.feature_input_layer_dict[fc.name]
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embedding_layers_dict = {}
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if len(self.sparse_feature_columns) > 0 or \
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len(self.varlen_sparse_feature_columns) > 0:
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embedding_layers_dict = self.create_embedding_layers_dict(
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