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https://github.com/huggingface/text-generation-inference.git
synced 2025-09-11 04:14:52 +00:00
Make GPTQ test less flaky.
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@ -24,6 +24,7 @@ DOCKER_VOLUME = os.getenv("DOCKER_VOLUME", "/data")
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class ResponseComparator(JSONSnapshotExtension):
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rtol = 0.2
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def serialize(
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self,
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data,
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@ -58,7 +59,7 @@ class ResponseComparator(JSONSnapshotExtension):
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return (
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token.id == other.id
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and token.text == other.text
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and math.isclose(token.logprob, other.logprob, rel_tol=0.2)
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and math.isclose(token.logprob, other.logprob, rel_tol=self.rtol)
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and token.special == other.special
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)
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@ -68,7 +69,7 @@ class ResponseComparator(JSONSnapshotExtension):
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prefill_token.id == other.id
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and prefill_token.text == other.text
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and (
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math.isclose(prefill_token.logprob, other.logprob, rel_tol=0.2)
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math.isclose(prefill_token.logprob, other.logprob, rel_tol=self.rtol)
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if prefill_token.logprob is not None
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else prefill_token.logprob == other.logprob
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)
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@ -148,6 +149,10 @@ class ResponseComparator(JSONSnapshotExtension):
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)
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class GenerousResponseComparator(ResponseComparator):
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# Needed for GPTQ with exllama which has serious numerical fluctuations.
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rtol = 0.75
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class LauncherHandle:
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def __init__(self, port: int):
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self.client = AsyncClient(f"http://localhost:{port}")
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@ -193,6 +198,10 @@ class ProcessLauncherHandle(LauncherHandle):
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def response_snapshot(snapshot):
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return snapshot.use_extension(ResponseComparator)
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@pytest.fixture
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def generous_response_snapshot(snapshot):
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return snapshot.use_extension(GenerousResponseComparator)
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@pytest.fixture(scope="module")
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def event_loop():
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@ -15,20 +15,20 @@ async def flash_starcoder_gptq(flash_starcoder_gptq_handle):
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_starcoder_gptq(flash_starcoder_gptq, response_snapshot):
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async def test_flash_starcoder_gptq(flash_starcoder_gptq, generous_response_snapshot):
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response = await flash_starcoder_gptq.generate(
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"def geometric_mean(L: List[float]):",
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max_new_tokens=20,
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decoder_input_details=True,
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)
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assert response.details.generated_tokens == 20
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assert response == response_snapshot
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assert response == generous_response_snapshot
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_starcoder_gptq_default_params(
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flash_starcoder_gptq, response_snapshot
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flash_starcoder_gptq, generous_response_snapshot
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):
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response = await flash_starcoder_gptq.generate(
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"def geometric_mean(L: List[float]):",
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@ -39,13 +39,13 @@ async def test_flash_starcoder_gptq_default_params(
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seed=0,
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)
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assert response.details.generated_tokens == 20
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assert response == response_snapshot
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assert response == generous_response_snapshot
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_starcoder_gptq_load(
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flash_starcoder_gptq, generate_load, response_snapshot
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flash_starcoder_gptq, generate_load, generous_response_snapshot
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):
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responses = await generate_load(
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flash_starcoder_gptq,
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@ -57,4 +57,4 @@ async def test_flash_starcoder_gptq_load(
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assert len(responses) == 4
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assert all([r.generated_text == responses[0].generated_text for r in responses])
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assert responses == response_snapshot
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assert responses == generous_response_snapshot
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