71 lines
1.9 KiB
Python
71 lines
1.9 KiB
Python
import pytest
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@pytest.fixture(scope="module")
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def flash_llama_awq_handle(launcher):
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with launcher(
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"abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq",
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num_shard=1,
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quantize="awq",
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) as handle:
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yield handle
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@pytest.fixture(scope="module")
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async def flash_llama_awq(flash_llama_awq_handle):
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await flash_llama_awq_handle.health(300)
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return flash_llama_awq_handle.client
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@pytest.mark.asyncio
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async def test_flash_llama_awq(flash_llama_awq, response_snapshot):
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response = await flash_llama_awq.generate(
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"What is Deep Learning?", max_new_tokens=10, decoder_input_details=True
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)
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assert response.details.generated_tokens == 10
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assert (
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response.generated_text
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== "\nWhat is the difference between Deep Learning and Machine"
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)
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assert response == response_snapshot
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@pytest.mark.asyncio
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async def test_flash_llama_awq_all_params(flash_llama_awq, response_snapshot):
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response = await flash_llama_awq.generate(
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"What is Deep Learning?",
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max_new_tokens=10,
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repetition_penalty=1.2,
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return_full_text=True,
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temperature=0.5,
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top_p=0.9,
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top_k=10,
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truncate=5,
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typical_p=0.9,
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watermark=True,
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decoder_input_details=True,
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seed=0,
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)
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assert response.details.generated_tokens == 10
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assert response == response_snapshot
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@pytest.mark.asyncio
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async def test_flash_llama_awq_load(flash_llama_awq, generate_load, response_snapshot):
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responses = await generate_load(
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flash_llama_awq, "What is Deep Learning?", max_new_tokens=10, n=4
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)
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assert len(responses) == 4
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assert all(
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[
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r.generated_text
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== "\nWhat is the difference between Deep Learning and Machine"
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for r in responses
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]
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)
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assert responses == response_snapshot
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