[Core][Model runner refactoring 1/N] Refactor attn metadata term (#4518)
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@@ -43,11 +43,13 @@ def test_ngram_algo_correctness_for_single_no_match():
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]
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proposal_len = 5
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final_seq_lens = [len(prompt) + proposal_len for prompt in prompts]
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final_prompt_lens = [len(prompt) + proposal_len for prompt in prompts]
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ngram_sampler_output_data = create_execute_model_data(
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seq_group_metadata_list=create_seq_group_metadata_from_prompts(
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prompts, num_gpu_blocks, block_size,
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final_seq_lens=final_seq_lens))
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prompts,
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num_gpu_blocks,
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block_size,
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final_prompt_lens=final_prompt_lens))
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proposals = proposer.get_proposals(
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**ngram_sampler_output_data.to_dict(),
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@@ -110,11 +112,13 @@ def test_ngram_algo_correctness_for_batches_not_match_all():
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]
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proposal_len = 5
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final_seq_lens = [len(prompt) + proposal_len for prompt in prompts]
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final_prompt_lens = [len(prompt) + proposal_len for prompt in prompts]
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ngram_sampler_output_data = create_execute_model_data(
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seq_group_metadata_list=create_seq_group_metadata_from_prompts(
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prompts, num_gpu_blocks, block_size,
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final_seq_lens=final_seq_lens))
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prompts,
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num_gpu_blocks,
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block_size,
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final_prompt_lens=final_prompt_lens))
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proposals = proposer.get_proposals(
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**ngram_sampler_output_data.to_dict(),
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@@ -180,11 +184,13 @@ def test_ngram_algo_correctness_for_batches_match_all():
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]
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proposal_len = 5
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final_seq_lens = [len(prompt) + proposal_len for prompt in prompts]
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final_prompt_lens = [len(prompt) + proposal_len for prompt in prompts]
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ngram_sampler_output_data = create_execute_model_data(
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seq_group_metadata_list=create_seq_group_metadata_from_prompts(
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prompts, num_gpu_blocks, block_size,
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final_seq_lens=final_seq_lens))
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prompts,
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num_gpu_blocks,
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block_size,
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final_prompt_lens=final_prompt_lens))
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proposals = proposer.get_proposals(
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**ngram_sampler_output_data.to_dict(),
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