[FEAT] [ROCm] [Embedding] Add encoder-only model support into ROCm Flash Attention to enable embedding models. (#14664)
Signed-off-by: tjtanaa <tunjian.tan@embeddedllm.com>
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@@ -6,6 +6,7 @@ Run `pytest tests/models/embedding/language/test_embedding.py`.
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import pytest
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from vllm.config import PoolerConfig
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from vllm.platforms import current_platform
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from ..utils import check_embeddings_close
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@@ -18,15 +19,15 @@ from ..utils import check_embeddings_close
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marks=[pytest.mark.core_model, pytest.mark.cpu_model]),
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pytest.param("sentence-transformers/all-MiniLM-L12-v2"),
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pytest.param("intfloat/multilingual-e5-small"),
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pytest.param("Alibaba-NLP/gte-Qwen2-7B-instruct"),
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# [Decoder-only]
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pytest.param("BAAI/bge-multilingual-gemma2",
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marks=[pytest.mark.core_model]),
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pytest.param("intfloat/e5-mistral-7b-instruct",
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marks=[pytest.mark.core_model, pytest.mark.cpu_model]),
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pytest.param("Alibaba-NLP/gte-Qwen2-1.5B-instruct"),
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pytest.param("Alibaba-NLP/gte-Qwen2-7B-instruct"),
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pytest.param("ssmits/Qwen2-7B-Instruct-embed-base"),
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# [Encoder-decoder]
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# [Cross-Encoder]
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pytest.param("sentence-transformers/stsb-roberta-base-v2"),
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],
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)
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@@ -37,11 +38,19 @@ def test_models(
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example_prompts,
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model,
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dtype: str,
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monkeypatch,
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) -> None:
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if model == "BAAI/bge-multilingual-gemma2" and current_platform.is_rocm():
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# ROCm Triton FA does not currently support sliding window attention
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# switch to use ROCm CK FA backend
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monkeypatch.setenv("VLLM_USE_TRITON_FLASH_ATTN", "False")
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vllm_extra_kwargs = {}
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if model == "ssmits/Qwen2-7B-Instruct-embed-base":
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vllm_extra_kwargs["override_pooler_config"] = \
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PoolerConfig(pooling_type="MEAN")
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if model == "Alibaba-NLP/gte-Qwen2-1.5B-instruct":
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vllm_extra_kwargs["hf_overrides"] = {"is_causal": True}
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