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https://github.com/huggingface/text-generation-inference.git
synced 2025-09-11 20:34:54 +00:00
fix: improve pali test and add snapshot
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d6e306c2b3
commit
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@ -0,0 +1,25 @@
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{
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"details": {
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"best_of_sequences": null,
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"finish_reason": "eos_token",
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"generated_tokens": 2,
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"prefill": [],
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"seed": null,
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"tokens": [
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{
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"id": 54901,
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"logprob": -0.61621094,
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"special": false,
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"text": "beach"
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},
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{
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"id": 1,
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"logprob": -0.11273193,
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"special": true,
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"text": "<eos>"
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}
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],
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"top_tokens": null
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},
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"generated_text": "beach"
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}
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@ -7,7 +7,7 @@ import base64
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@pytest.fixture(scope="module")
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@pytest.fixture(scope="module")
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def flash_pali_gemma_handle(launcher):
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def flash_pali_gemma_handle(launcher):
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with launcher(
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with launcher(
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"Tinkering/test-bvhf",
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"gv-hf/paligemma-3b-mix-224",
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num_shard=1,
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num_shard=1,
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max_input_length=4000,
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max_input_length=4000,
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max_total_tokens=4096,
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max_total_tokens=4096,
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@ -31,7 +31,8 @@ def get_cow_beach():
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@pytest.mark.private
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@pytest.mark.private
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async def test_flash_pali_gemma(flash_pali_gemma, response_snapshot):
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async def test_flash_pali_gemma(flash_pali_gemma, response_snapshot):
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cow = get_cow_beach()
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cow = get_cow_beach()
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inputs = f"Where is the cow standing?\n"
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inputs = f"Where is the cow standing?\n"
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response = await flash_pali_gemma.generate(inputs, max_new_tokens=20)
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response = await flash_pali_gemma.generate(inputs, max_new_tokens=20)
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assert response.generated_text == "\nbeach"
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assert response.generated_text == "beach"
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assert response == response_snapshot
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