tlg
d7a091df8c
Tracks GPU VRAM usage (16GB) and handles model loading/unloading with priority-based eviction: LLM (lowest) -> TTS -> ASR (highest, protected). Uses asyncio Lock for concurrency safety. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
121 lines
4.9 KiB
Python
121 lines
4.9 KiB
Python
import asyncio
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import pytest
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from llmux.vram_manager import VRAMManager, ModelSlot
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class FakeBackend:
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"""Simulates a backend that tracks load/unload calls."""
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def __init__(self):
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self.loaded = {}
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self.load_count = 0
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self.unload_count = 0
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async def load(self, model_id: str):
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self.loaded[model_id] = True
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self.load_count += 1
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async def unload(self, model_id: str):
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self.loaded.pop(model_id, None)
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self.unload_count += 1
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@pytest.fixture
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def manager():
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return VRAMManager(total_vram_gb=16.0)
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def test_priority_ordering():
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assert ModelSlot.priority_rank("llm") == 0
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assert ModelSlot.priority_rank("tts") == 1
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assert ModelSlot.priority_rank("asr") == 2
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@pytest.mark.asyncio
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async def test_load_into_empty_vram(manager):
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backend = FakeBackend()
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await manager.load_model("qwen3.5-4b", model_type="llm", vram_gb=4.0, backend=backend)
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assert manager.is_loaded("qwen3.5-4b")
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assert manager.available_vram_gb == pytest.approx(12.0)
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@pytest.mark.asyncio
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async def test_load_alongside_when_fits(manager):
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backend = FakeBackend()
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await manager.load_model("cohere-transcribe", model_type="asr", vram_gb=4.0, backend=backend)
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await manager.load_model("qwen3.5-4b", model_type="llm", vram_gb=4.0, backend=backend)
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assert manager.is_loaded("cohere-transcribe")
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assert manager.is_loaded("qwen3.5-4b")
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assert manager.available_vram_gb == pytest.approx(8.0)
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@pytest.mark.asyncio
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async def test_evict_llm_first(manager):
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backend = FakeBackend()
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await manager.load_model("cohere-transcribe", model_type="asr", vram_gb=4.0, backend=backend)
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await manager.load_model("chatterbox-multilingual", model_type="tts", vram_gb=2.0, backend=backend)
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await manager.load_model("qwen3.5-4b", model_type="llm", vram_gb=4.0, backend=backend)
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# 10 GB used. Loading 9B (9GB). Evict LLM (4B), free=12. ASR+TTS+9B=15, fits.
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await manager.load_model("qwen3.5-9b-fp8", model_type="llm", vram_gb=9.0, backend=backend)
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assert not manager.is_loaded("qwen3.5-4b")
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assert manager.is_loaded("cohere-transcribe")
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assert manager.is_loaded("chatterbox-multilingual")
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assert manager.is_loaded("qwen3.5-9b-fp8")
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@pytest.mark.asyncio
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async def test_evict_cascade_for_large_llm(manager):
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backend = FakeBackend()
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await manager.load_model("cohere-transcribe", model_type="asr", vram_gb=4.0, backend=backend)
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await manager.load_model("chatterbox-multilingual", model_type="tts", vram_gb=2.0, backend=backend)
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await manager.load_model("qwen3.5-4b", model_type="llm", vram_gb=4.0, backend=backend)
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# 10 GB used. gpt-oss-20b needs 12GB. Evict LLM(4)->free=10. Evict TTS(2)->free=12. Load.
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await manager.load_model("gpt-oss-20b", model_type="llm", vram_gb=12.0, backend=backend)
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assert not manager.is_loaded("qwen3.5-4b")
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assert not manager.is_loaded("chatterbox-multilingual")
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assert manager.is_loaded("cohere-transcribe") # ASR survives if possible
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assert manager.is_loaded("gpt-oss-20b")
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@pytest.mark.asyncio
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async def test_asr_evicts_llm_not_reversed(manager):
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"""When ASR request arrives and LLM is loaded, evict LLM (lower priority)."""
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backend = FakeBackend()
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await manager.load_model("gpt-oss-20b", model_type="llm", vram_gb=13.0, backend=backend)
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# 13GB used, 3GB free. ASR needs 4GB. Must evict LLM.
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await manager.load_model("cohere-transcribe", model_type="asr", vram_gb=4.0, backend=backend)
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assert not manager.is_loaded("gpt-oss-20b")
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assert manager.is_loaded("cohere-transcribe")
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@pytest.mark.asyncio
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async def test_already_loaded_is_noop(manager):
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backend = FakeBackend()
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await manager.load_model("qwen3.5-4b", model_type="llm", vram_gb=4.0, backend=backend)
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await manager.load_model("qwen3.5-4b", model_type="llm", vram_gb=4.0, backend=backend)
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assert backend.load_count == 1
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@pytest.mark.asyncio
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async def test_spec_scenario_switch_to_9b(manager):
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backend = FakeBackend()
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await manager.load_model("cohere-transcribe", model_type="asr", vram_gb=4.0, backend=backend)
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await manager.load_model("chatterbox-multilingual", model_type="tts", vram_gb=2.0, backend=backend)
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await manager.load_model("qwen3.5-4b", model_type="llm", vram_gb=4.0, backend=backend)
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await manager.load_model("qwen3.5-9b-fp8", model_type="llm", vram_gb=9.0, backend=backend)
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assert manager.is_loaded("cohere-transcribe")
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assert manager.is_loaded("chatterbox-multilingual")
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assert manager.is_loaded("qwen3.5-9b-fp8")
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assert not manager.is_loaded("qwen3.5-4b")
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assert manager.available_vram_gb == pytest.approx(1.0)
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@pytest.mark.asyncio
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async def test_get_loaded_models(manager):
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backend = FakeBackend()
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await manager.load_model("cohere-transcribe", model_type="asr", vram_gb=4.0, backend=backend)
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await manager.load_model("qwen3.5-4b", model_type="llm", vram_gb=4.0, backend=backend)
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loaded = manager.get_loaded_models()
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assert set(loaded.keys()) == {"cohere-transcribe", "qwen3.5-4b"}
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