mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-19 22:02:06 +00:00
46a5a7e73e
This change adds support for wNa16 int checkpoints with 2:4 sparsity using Marlin 2:4 kernels.
91 lines
2.4 KiB
Python
91 lines
2.4 KiB
Python
import pytest
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@pytest.fixture(scope="module")
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def compressed_tensors_wna16_int_24_handle(launcher):
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with launcher(
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"danieldk/Llama-3.1-8B-w4a16-int-24",
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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_wna16_int_24(compressed_tensors_wna16_int_24_handle):
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await compressed_tensors_wna16_int_24_handle.health(300)
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return compressed_tensors_wna16_int_24_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_wna16_int_24(
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compressed_tensors_wna16_int_24, response_snapshot
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):
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response = await compressed_tensors_wna16_int_24.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 subset of machine learning that uses"
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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.release
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_compressed_tensors_wna16_int_24_all_params(
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compressed_tensors_wna16_int_24, response_snapshot
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):
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response = await compressed_tensors_wna16_int_24.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 (DL) is a subset of"
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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_wna16_int_24_load(
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compressed_tensors_wna16_int_24, generate_load, response_snapshot
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):
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responses = await generate_load(
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compressed_tensors_wna16_int_24,
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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 subset of machine learning that uses"
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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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