openvino.runtime.opset5.embedding_bag_packed_sum#

openvino.runtime.opset5.embedding_bag_packed_sum(emb_table: Node | int | float | ndarray, indices: Node | int | float | ndarray, per_sample_weights: Node | int | float | ndarray | None = None, name: str | None = None) → Node#

Return an EmbeddingBagPackedSum node.

EmbeddingSegmentsSum constructs an output tensor by replacing every index in a given input tensor with a row (from the weights matrix) at that index

Parameters:

  • emb_table – Tensor containing the embedding lookup table.

  • indices – Tensor with indices.

  • per_sample_weights – Weights to be multiplied with embedding table.

  • name – Optional name for output node.

Returns:

EmbeddingBagPackedSum node