openvino.runtime.opset13.embedding_segments_sum#
- openvino.runtime.opset13.embedding_segments_sum(emb_table: Node, indices: Node | int | float | ndarray, segment_ids: Node | int | float | ndarray, num_segments: Node | int | float | ndarray | None = None, default_index: Node | int | float | ndarray | None = None, per_sample_weights: Node | int | float | ndarray | None = None, name: str | None = None) Node #
Return an EmbeddingSegmentsSum 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.
segment_ids – Tensor with indices into the output Tensor
num_segments – Tensor with number of segments.
default_index – Scalar containing default index in embedding table to fill empty bags.
per_sample_weights – Weights to be multiplied with embedding table.
name – Optional name for output node.
- Returns:
EmbeddingSegmentsSum node