mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-21 23:12:07 +00:00
2358c2bb54
* Add basic FP8 KV cache support This change adds rudimentary FP8 KV cache support. The support is enabled by passing `--kv-cache-dtype fp8_e5m2` to the launcher. Doing so uses this type for the KV cache. However support is still limited: * Only the `fp8_e5m2` type is supported. * The KV cache layout is the same as `float16`/`bfloat16` (HND). * The FP8 KV cache is only supported for FlashInfer. * Loading of scales is not yet supported. * Fix Cargo.toml
78 lines
2.2 KiB
Python
78 lines
2.2 KiB
Python
import pytest
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@pytest.fixture(scope="module")
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def flash_llama_fp8_kv_cache_handle(launcher):
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with launcher(
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"meta-llama/Meta-Llama-3-8B", num_shard=2, kv_cache_dtype="fp8_e5m2"
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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 flash_llama_fp8_kv_cache(flash_llama_fp8_kv_cache_handle):
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await flash_llama_fp8_kv_cache_handle.health(300)
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return flash_llama_fp8_kv_cache_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_flash_llama_fp8_kv_cache(flash_llama_fp8_kv_cache, response_snapshot):
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response = await flash_llama_fp8_kv_cache.generate(
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"What is deep learning?", max_new_tokens=10, 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 is"
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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_flash_llama_fp8_kv_cache_all_params(
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flash_llama_fp8_kv_cache, response_snapshot
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):
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response = await flash_llama_fp8_kv_cache.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 == 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_flash_llama_fp8_kv_cache_load(
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flash_llama_fp8_kv_cache, generate_load, response_snapshot
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):
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responses = await generate_load(
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flash_llama_fp8_kv_cache, "What is deep learning?", max_new_tokens=10, n=4
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)
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assert len(responses) == 4
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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 is"
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)
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assert all(
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[r.generated_text == responses[0].generated_text for r in responses]
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), f"Different messages : {[r.generated_text for r in responses]}"
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assert responses == response_snapshot
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