openvino.runtime.opset12.embedding_bag_offsets_sum#

openvino.runtime.opset12.embedding_bag_offsets_sum(emb_table: Node, indices: Node | int | float | ndarray, offsets: Node | int | float | ndarray, default_index: Node | int | float | ndarray | None = None, per_sample_weights: Node | int | float | ndarray | None = None, name: str | None = None) → 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