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https://github.com/huggingface/text-generation-inference.git
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1da07e85aa
# What does this PR do? This adds a non flash version of MPT. Flash is harder because we need to create a bias ready cuda kernel of flash attention. Fixes https://github.com/huggingface/text-generation-inference/issues/361 Fixes https://github.com/huggingface/text-generation-inference/issues/491 Fixes https://github.com/huggingface/text-generation-inference/issues/290
49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
import pytest
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@pytest.fixture(scope="module")
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def mpt_sharded_handle(launcher):
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with launcher("mosaicml/mpt-7b", num_shard=2) as handle:
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yield handle
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@pytest.fixture(scope="module")
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async def mpt_sharded(mpt_sharded_handle):
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await mpt_sharded_handle.health(300)
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return mpt_sharded_handle.client
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@pytest.mark.asyncio
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async def test_mpt(mpt_sharded, response_snapshot):
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response = await mpt_sharded.generate(
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"What is Deep Learning?",
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max_new_tokens=17,
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decoder_input_details=True,
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)
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assert response.details.generated_tokens == 17
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assert (
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response.generated_text
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== " - Deep Learning\nDeep Learning is a subfield of machine learning that uses artificial neural"
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)
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assert response == response_snapshot
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@pytest.mark.asyncio
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async def test_mpt_load(mpt_sharded, generate_load, response_snapshot):
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responses = await generate_load(
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mpt_sharded,
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"What is Deep Learning?",
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max_new_tokens=17,
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n=4,
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)
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assert len(responses) == 4
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assert all([r.generated_text == responses[0].generated_text for r in responses])
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assert (
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responses[0].generated_text
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== " - Deep Learning\nDeep Learning is a subfield of machine learning that uses artificial neural"
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)
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assert responses == response_snapshot
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