text-generation-inference/integration-tests/models/test_fused_kernel_mamba.py

63 lines
2.0 KiB
Python

import pytest
@pytest.fixture(scope="module")
def fused_kernel_mamba_handle(launcher):
with launcher("state-spaces/mamba-130m", 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.asyncio
@pytest.mark.private
async def test_fused_kernel_mamba(fused_kernel_mamba, response_snapshot):
response = await fused_kernel_mamba.generate(
"Test request", max_new_tokens=10, decoder_input_details=True
)
assert response.details.generated_tokens == 10
assert response == response_snapshot
@pytest.mark.asyncio
@pytest.mark.private
async def test_fused_kernel_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
# TODO: fix so the input is not included in the output
assert response.generated_text == "blue, red, yellow, \number and white; the color of its unders"
assert response == response_snapshot
# TODO: fix `Expected x0.dim() == 2 to be true, but got false.`
# 94: `hidden_states, _ = self.layer_norm(hidden_states.squeeze(0))`
# NOTE: the fast layer norm has strict requirements on the input shape
# @pytest.mark.asyncio
# @pytest.mark.private
# async def test_fused_kernel_mamba_load(fused_kernel_mamba, generate_load, response_snapshot):
# responses = await generate_load(fused_kernel_mamba, "Test request", max_new_tokens=10, n=4)
# assert len(responses) == 4
# assert all([r.generated_text == responses[0].generated_text for r in responses])
# assert responses == response_snapshot