mirror of
https://github.com/huggingface/text-generation-inference.git
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24ee40d143
* feat: support max_image_fetch_size to limit * fix: update model path for test * fix: adjust model repo id for test again * fix: apply clippy lints * fix: clippy fix * fix: avoid torch build isolation in docker * fix: bump repo id in flash llama tests * fix: temporarily avoid problematic repos in tests
59 lines
1.6 KiB
Python
59 lines
1.6 KiB
Python
import pytest
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@pytest.fixture(scope="module")
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def flash_llama_handle(launcher):
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with launcher("huggyllama/llama-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 flash_llama(flash_llama_handle):
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await flash_llama_handle.health(300)
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return flash_llama_handle.client
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_llama_simple(flash_llama, response_snapshot):
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response = await flash_llama.generate(
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"Test request", max_new_tokens=10, decoder_input_details=True
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)
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assert response.details.generated_tokens == 10
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assert response == response_snapshot
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_llama_all_params(flash_llama, response_snapshot):
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response = await flash_llama.generate(
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"Test request",
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max_new_tokens=10,
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repetition_penalty=1.2,
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return_full_text=True,
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stop_sequences=["test"],
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temperature=0.5,
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top_p=0.9,
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top_k=10,
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truncate=5,
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typical_p=0.9,
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watermark=True,
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decoder_input_details=True,
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seed=0,
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)
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assert response.details.generated_tokens == 5
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assert response == response_snapshot
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_llama_load(flash_llama, generate_load, response_snapshot):
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responses = await generate_load(flash_llama, "Test request", max_new_tokens=10, n=4)
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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 responses == response_snapshot
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