73 lines
2.2 KiB
Python
73 lines
2.2 KiB
Python
import pytest
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from testing_utils import SYSTEM, is_flaky_async, require_backend_async
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@pytest.fixture(scope="module")
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def flash_llama_awq_handle_sharded(launcher):
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if SYSTEM == "rocm":
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# On ROCm, for awq checkpoints, we need to use gptq kernel that supports ROCm.
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quantize = "gptq"
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else:
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quantize = "awq"
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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=2,
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quantize=quantize,
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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_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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@is_flaky_async(max_attempts=5)
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@pytest.mark.release
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@pytest.mark.asyncio
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@require_backend_async("cuda", "rocm")
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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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# ExllamaV2 (which may be used as an AWQ backend) is highly non-deterministic, see for reference https://github.com/turboderp/exllamav2/issues/232.
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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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if SYSTEM != "rocm":
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# Logits were taken on an Nvidia GPU, and are too far off to be meaningfully compared.
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assert response == response_snapshot
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@require_backend_async("cuda")
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@pytest.mark.release
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@pytest.mark.asyncio
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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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# TODO: This test is highly non-deterministic on ROCm.
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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(
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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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# Logits were taken on an Nvidia GPU, and are too far off to be meaningfully compared.
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assert responses == response_snapshot
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