tzrec/modules/embedding.py [425:457]:
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            )

        for key, seq_emb_impl in self.seq_emb_impls.items():
            sparse_feat_kjt = None
            sparse_feat_kjt_user = None
            dense_feat_kt = None
            sequence_mulval_length_kjt = None
            sequence_mulval_length_kjt_user = None

            if seq_emb_impl.has_dense:
                dense_feat_kt = batch.dense_features[key]
            if seq_emb_impl.has_sparse or seq_emb_impl.has_mc_sparse:
                sparse_feat_kjt = batch.sparse_features[key]
            if seq_emb_impl.has_mulval_seq:
                sequence_mulval_length_kjt = batch.sequence_mulval_lengths[key]
            if seq_emb_impl.has_sparse_user or seq_emb_impl.has_mc_sparse_user:
                sparse_feat_kjt_user = batch.sparse_features[key + "_user"]
            if seq_emb_impl.has_mulval_seq_user:
                sequence_mulval_length_kjt_user = batch.sequence_mulval_lengths[
                    key + "_user"
                ]

            result_dicts.append(
                seq_emb_impl(
                    sparse_feat_kjt,
                    dense_feat_kt,
                    batch.sequence_dense_features,
                    sequence_mulval_length_kjt,
                    sparse_feat_kjt_user,
                    sequence_mulval_length_kjt_user,
                    batch.tile_size,
                )
            )
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tzrec/modules/embedding.py [924:956]:
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                    )

        for key, seq_emb_impl in self.seq_emb_impls.items():
            sparse_feat_kjt = None
            sparse_feat_kjt_user = None
            dense_feat_kt = None
            sequence_mulval_length_kjt = None
            sequence_mulval_length_kjt_user = None

            if seq_emb_impl.has_dense:
                dense_feat_kt = batch.dense_features[key]
            if seq_emb_impl.has_sparse or seq_emb_impl.has_mc_sparse:
                sparse_feat_kjt = batch.sparse_features[key]
            if seq_emb_impl.has_mulval_seq:
                sequence_mulval_length_kjt = batch.sequence_mulval_lengths[key]
            if seq_emb_impl.has_sparse_user or seq_emb_impl.has_mc_sparse_user:
                sparse_feat_kjt_user = batch.sparse_features[key + "_user"]
            if seq_emb_impl.has_mulval_seq_user:
                sequence_mulval_length_kjt_user = batch.sequence_mulval_lengths[
                    key + "_user"
                ]

            result_dicts.append(
                seq_emb_impl(
                    sparse_feat_kjt,
                    dense_feat_kt,
                    batch.sequence_dense_features,
                    sequence_mulval_length_kjt,
                    sparse_feat_kjt_user,
                    sequence_mulval_length_kjt_user,
                    batch.tile_size,
                )
            )
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