openvino.runtime.opset12.embedding_bag_offsets_sum

openvino.runtime.opset12.embedding_bag_offsets_sum(emb_table: openvino._pyopenvino.Node, indices: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], offsets: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], default_index: Optional[Union[openvino._pyopenvino.Node, int, float, numpy.ndarray]] = None, per_sample_weights: Optional[Union[openvino._pyopenvino.Node, int, float, numpy.ndarray]] = None, name: Optional[str] = None) → openvino._pyopenvino.Node

Return a node which performs sums of bags of embeddings without the intermediate embeddings.

Parameters

• emb_table – Tensor containing the embedding lookup table.

• indices – Tensor with indices.

• offsets – Tensor containing the starting index positions of each bag in indices.

• per_sample_weights – Tensor with weights for each sample.

• default_index – Scalar containing default index in embedding table to fill empty bags.

• name – Optional name for output node.

Returns

The new node which performs EmbeddingBagOffsetsSum