.. _l-onnx-doccom.microsoft-GreedySearch: ============================ com.microsoft - GreedySearch ============================ .. contents:: :local: .. _l-onnx-opcom-microsoft-greedysearch-1: GreedySearch - 1 (com.microsoft) ================================ **Version** * **name**: `GreedySearch (GitHub) `_ * **domain**: **com.microsoft** * **since_version**: **1** * **function**: * **support_level**: * **shape inference**: This version of the operator has been available **since version 1 of domain com.microsoft**. **Summary** Greedy Search for text generation. **Attributes** * **decoder** (required): Decoder subgraph to execute in a loop. Default value is ``?``. * **decoder_start_token_id**: The id of the token that indicates decoding starts. Default value is ``?``. * **encoder**: The subgraph for initialization of encoder and decoder. It will be called once before decoder subgraph. Default value is ``?``. * **eos_token_id** (required): The id of the end-of-sequence token Default value is ``?``. * **model_type**: model type: 0 for decoder only like GPT-2; 1 for encoder decoder like Bart Default value is ``?``. * **no_repeat_ngram_size**: no repeat ngrams size Default value is ``?``. * **pad_token_id** (required): The id of the padding token Default value is ``?``. **Inputs** Between 2 and 7 inputs. * **input_ids** (heterogeneous) - **I**: The sequence used as a prompt for the generation. Shape is (batch_size, sequence_length) * **max_length** (heterogeneous) - **I**: The maximum length of the sequence to be generated. Shape is (1) * **min_length** (optional, heterogeneous) - **I**: The minimum length below which the score of eos_token_id is set to -Inf. Shape is (1) * **repetition_penalty** (optional, heterogeneous) - **T**: The parameter for repetition penalty. Default value 1.0 means no penalty. Accepts value > 0.0. Shape is (1) * **vocab_mask** (optional, heterogeneous) - **I**: Mask of vocabulary. Words that masked with 0 are not allowed to be generated, and 1 is allowed. Shape is (vacab_size) * **prefix_vocab_mask** (optional, heterogeneous) - **I**: Mask of vocabulary for first step. Words that masked with 0 are not allowed to be generated, and 1 is allowed. Shape is (batch_size, vocab_size) * **attention_mask** (optional, heterogeneous) - **I**: Custom attention mask. Shape is (batch_size, sequence_length) **Outputs** * **sequences** (heterogeneous) - **I**: Word IDs of generated sequences. Shape is (batch_size, max_sequence_length) **Examples**