Class ov::op::v3::EmbeddingBagOffsetsSum#
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class EmbeddingBagOffsetsSum : public ov::op::util::EmbeddingBagOffsetsBase#
Returns embeddings for given indices.
Public Functions
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EmbeddingBagOffsetsSum() = default#
Constructs a EmbeddingBagOffsetsSum operation.
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EmbeddingBagOffsetsSum(const Output<Node> &emb_table, const Output<Node> &indices, const Output<Node> &offsets, const Output<Node> &default_index, const Output<Node> &per_sample_weights)#
Constructs a EmbeddingBagOffsetsSum operation.
EmbeddingBagOffsetsSum 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 of the module of shape [num_emb, emb_dim1, emb_dim2, …] and of type T
indices – tensor of shape [num_indices] and of type T_IND. Required
offsets – tensor of shape [batch] and of type T_IND containing the starting index positions of each “bag” in indices. Required.
default_index – scalar of type T_IND containing default index in embedding table to fill empty “bags”. If set to value -1 or not provided, empty “bags” are filled with zeros. Reverse indexing using negative values is not supported. Optional.
per_sample_weights – tensor of the same shape as indices and of type T. Each value in this tensor are multiplied with each value pooled from embedding table for each index. Optional.
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EmbeddingBagOffsetsSum() = default#