import pytest @pytest.fixture(scope="module") def fused_kernel_mamba_handle(launcher): with launcher("state-spaces/mamba-130m-hf", num_shard=1) as handle: yield handle @pytest.fixture(scope="module") async def fused_kernel_mamba(fused_kernel_mamba_handle): await fused_kernel_mamba_handle.health(300) return fused_kernel_mamba_handle.client @pytest.mark.release @pytest.mark.asyncio async def test_mamba(fused_kernel_mamba, response_snapshot): response = await fused_kernel_mamba.generate( "What is Deep Learning?", max_new_tokens=10 ) assert response.details.generated_tokens == 10 assert response.generated_text == "\n\nDeep learning is a new type of machine" assert response == response_snapshot @pytest.mark.release @pytest.mark.asyncio async def test_mamba_all_params(fused_kernel_mamba, response_snapshot): response = await fused_kernel_mamba.generate( "blue, red, yellow, ", max_new_tokens=10, repetition_penalty=1.2, return_full_text=True, stop_sequences=["test"], 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.generated_text == "blue, red, yellow, \nand blue colors. A number of different color" ) assert response == response_snapshot @pytest.mark.release @pytest.mark.asyncio async def test_mamba_load( fused_kernel_mamba, generate_load, generous_response_snapshot ): responses = await generate_load( fused_kernel_mamba, "What is Deep Learning?", max_new_tokens=10, n=4 ) assert len(responses) == 4 assert responses[0].generated_text == "\n\nDeep learning is a new type of machine" assert all([r.generated_text == responses[0].generated_text for r in responses]) assert responses[0].generated_text == "\n\nDeep learning is a new type of machine" assert responses == generous_response_snapshot