import pytest from testing_utils import SYSTEM @pytest.fixture(scope="module") def flash_llama_awq_handle(launcher): if SYSTEM == "rocm": # On ROCm, for awq checkpoints, we need to use gptq kernel that supports ROCm. quantize = "gptq" elif SYSTEM == "xpu": pytest.skip("AWQ is not supported on xpu") else: quantize = "awq" with launcher( "abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq", num_shard=1, quantize=quantize, ) as handle: yield handle @pytest.fixture(scope="module") async def flash_llama_awq(flash_llama_awq_handle): await flash_llama_awq_handle.health(300) return flash_llama_awq_handle.client @pytest.mark.asyncio async def test_flash_llama_awq(flash_llama_awq, response_snapshot): response = await flash_llama_awq.generate( "What is Deep Learning?", max_new_tokens=10, decoder_input_details=True ) assert response.details.generated_tokens == 10 assert ( response.generated_text == "\nWhat is the difference between Deep Learning and Machine" ) assert response == response_snapshot @pytest.mark.asyncio async def test_flash_llama_awq_all_params(flash_llama_awq, response_snapshot): response = await flash_llama_awq.generate( "What is Deep Learning?", max_new_tokens=10, repetition_penalty=1.2, return_full_text=True, temperature=0.5, top_p=0.9, top_k=10, truncate=5, typical_p=0.9, watermark=True, decoder_input_details=True, seed=0, ) assert response.details.generated_tokens == 10 assert response == response_snapshot @pytest.mark.asyncio async def test_flash_llama_awq_load(flash_llama_awq, generate_load, response_snapshot): responses = await generate_load( flash_llama_awq, "What is Deep Learning?", max_new_tokens=10, n=4 ) assert len(responses) == 4 assert all( [ r.generated_text == "\nWhat is the difference between Deep Learning and Machine" for r in responses ] ) assert responses == response_snapshot