37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
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import pytest
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@pytest.fixture(scope="module")
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def flash_llama_awq_handle_sharded(launcher):
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with launcher("abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq", num_shard=2, quantize="awq") 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_sharded(flash_llama_awq_handle_sharded):
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await flash_llama_awq_handle_sharded.health(300)
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return flash_llama_awq_handle_sharded.client
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_llama_awq_sharded(flash_llama_awq_sharded, response_snapshot):
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response = await flash_llama_awq_sharded.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 response.generated_text == "\nWhat is the difference between Deep Learning and Machine"
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assert response == response_snapshot
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_llama_awq_load_sharded(
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flash_llama_awq_sharded, generate_load, response_snapshot
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):
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responses = await generate_load(
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flash_llama_awq_sharded, "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([r.generated_text == "\nWhat is the difference between Deep Learning and Machine" for r in responses])
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assert responses == response_snapshot
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