hf_text-generation-inference/integration-tests/models/test_mpt.py

49 lines
1.3 KiB
Python

import pytest
@pytest.fixture(scope="module")
def mpt_sharded_handle(launcher):
with launcher("mosaicml/mpt-7b", num_shard=2) as handle:
yield handle
@pytest.fixture(scope="module")
async def mpt_sharded(mpt_sharded_handle):
await mpt_sharded_handle.health(300)
return mpt_sharded_handle.client
@pytest.mark.asyncio
async def test_mpt(mpt_sharded, response_snapshot):
response = await mpt_sharded.generate(
"What is Deep Learning?",
max_new_tokens=17,
decoder_input_details=True,
)
assert response.details.generated_tokens == 17
assert (
response.generated_text
== " - Deep Learning\nDeep Learning is a subfield of machine learning that uses artificial neural"
)
assert response == response_snapshot
@pytest.mark.asyncio
async def test_mpt_load(mpt_sharded, generate_load, response_snapshot):
responses = await generate_load(
mpt_sharded,
"What is Deep Learning?",
max_new_tokens=17,
n=4,
)
assert len(responses) == 4
assert all([r.generated_text == responses[0].generated_text for r in responses])
assert (
responses[0].generated_text
== " - Deep Learning\nDeep Learning is a subfield of machine learning that uses artificial neural"
)
assert responses == response_snapshot