mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-19 22:02:06 +00:00
87 lines
2.3 KiB
Python
87 lines
2.3 KiB
Python
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import pytest
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@pytest.fixture(scope="module")
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def compressed_tensors_w8an_handle(launcher):
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with launcher(
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"neuralmagic/Llama-3.2-1B-Instruct-FP8",
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num_shard=2,
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quantize="compressed-tensors",
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) as handle:
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yield handle
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@pytest.fixture(scope="module")
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async def compressed_tensors_w8an(compressed_tensors_w8an_handle):
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await compressed_tensors_w8an_handle.health(300)
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return compressed_tensors_w8an_handle.client
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@pytest.mark.release
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_compressed_tensors_w8an(compressed_tensors_w8an, response_snapshot):
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response = await compressed_tensors_w8an.generate(
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"What is deep learning?",
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max_new_tokens=10,
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decoder_input_details=True,
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)
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assert (
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response.generated_text
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== " Deep learning is a type of artificial intelligence (AI"
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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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async def test_compressed_tensors_w8an_all_params(
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compressed_tensors_w8an, response_snapshot
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):
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response = await compressed_tensors_w8an.generate(
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"What is deep learning",
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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 == 10
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assert (
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response.generated_text
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== "What is deep learning?\nDeep learning, also known as neural network or"
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)
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assert response == response_snapshot
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@pytest.mark.release
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_compressed_tensors_w8an_load(
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compressed_tensors_w8an, generate_load, response_snapshot
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):
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responses = await generate_load(
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compressed_tensors_w8an,
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"What is deep learning?",
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max_new_tokens=10,
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n=4,
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)
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assert (
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responses[0].generated_text
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== " Deep learning is a type of artificial intelligence (AI"
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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 responses == response_snapshot
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