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83 lines
3.1 KiB
Python
83 lines
3.1 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import pytest
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import torch
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from vllm.attention.selector import _cached_get_attn_backend, get_attn_backend
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from vllm.platforms.rocm import RocmPlatform
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from vllm.utils import STR_BACKEND_ENV_VAR
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@pytest.fixture(autouse=True)
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def clear_cache():
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"""Clear lru cache to ensure each test case runs without caching.
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"""
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_cached_get_attn_backend.cache_clear()
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def test_selector(monkeypatch: pytest.MonkeyPatch):
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with monkeypatch.context() as m:
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m.setenv(STR_BACKEND_ENV_VAR, "ROCM_FLASH")
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# Set the current platform to ROCm using monkeypatch
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monkeypatch.setattr("vllm.attention.selector.current_platform",
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RocmPlatform())
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# Test standard ROCm attention
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backend = get_attn_backend(16, torch.float16, torch.float16, 16, False)
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assert (backend.get_name() == "ROCM_FLASH"
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or backend.get_name() == "TRITON_ATTN_VLLM_V1")
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# MLA test for deepseek related
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# change the attention backend to triton MLA
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m.setenv(STR_BACKEND_ENV_VAR, "TRITON_MLA")
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backend = get_attn_backend(576,
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torch.bfloat16,
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"auto",
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16,
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False,
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use_mla=True)
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assert (backend.get_name() == "TRITON_MLA"
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or backend.get_name() == "TRITON_MLA_VLLM_V1")
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# If attention backend is None
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# If use_mla is true
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# The selected backend is triton MLA
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m.setenv(STR_BACKEND_ENV_VAR, None)
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backend = get_attn_backend(576,
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torch.bfloat16,
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"auto",
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16,
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False,
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use_mla=True)
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assert (backend.get_name() == "TRITON_MLA"
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or backend.get_name() == "TRITON_MLA_VLLM_V1")
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# change the attention backend to AITER MLA
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m.setenv(STR_BACKEND_ENV_VAR, "ROCM_AITER_MLA")
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backend = get_attn_backend(576,
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torch.bfloat16,
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"auto",
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1,
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False,
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use_mla=True)
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assert (backend.get_name() == "ROCM_AITER_MLA"
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or backend.get_name() == "ROCM_AITER_MLA_VLLM_V1")
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# If attention backend is None
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# If use_mla is true
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# If VLLM_ROCM_USE_AITER is enabled
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# The selected backend is ROCM_AITER_MLA
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m.setenv(STR_BACKEND_ENV_VAR, None)
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m.setenv("VLLM_ROCM_USE_AITER", "1")
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backend = get_attn_backend(576,
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torch.bfloat16,
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"auto",
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1,
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False,
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use_mla=True)
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assert (backend.get_name() == "ROCM_AITER_MLA"
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or backend.get_name() == "ROCM_AITER_MLA_VLLM_V1")
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