101 lines
3.6 KiB
Python
101 lines
3.6 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import glob
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import os
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import tempfile
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import depyf
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import pytest
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from vllm.config import CompilationLevel
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@pytest.mark.skip(reason="Not working; needs investigation.")
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def test_tpu_compilation():
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temp_dir = tempfile.mkdtemp()
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with depyf.prepare_debug(temp_dir):
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from vllm import LLM, SamplingParams
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prompts = [
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"A robot may not injure a human being",
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"It is only with the heart that one can see rightly;",
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"The greatest glory in living lies not in never falling,",
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]
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answers = [
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" or, through inaction, allow a human being to come to harm.",
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" what is essential is invisible to the eye.",
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" but in rising every time we fall.",
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]
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N = 1
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# Currently, top-p sampling is disabled. `top_p` should be 1.0.
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sampling_params = SamplingParams(temperature=0.7,
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top_p=1.0,
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n=N,
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max_tokens=16)
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# Set `enforce_eager=True` to avoid ahead-of-time compilation.
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# In real workloads, `enforace_eager` should be `False`.
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# disable custom dispatcher, let Dynamo takes over
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# all the control
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llm = LLM(model="Qwen/Qwen2.5-1.5B-Instruct",
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max_model_len=512,
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max_num_seqs=64,
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enforce_eager=True,
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compilation_config={"level": CompilationLevel.DYNAMO_AS_IS})
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outputs = llm.generate(prompts, sampling_params)
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for output, answer in zip(outputs, answers):
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prompt = output.prompt
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generated_text = output.outputs[0].text
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print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
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assert generated_text.startswith(answer)
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compiled_codes = sorted(
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glob.glob(os.path.join(temp_dir, "__transformed_code*.py")))
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for i, compiled_code in enumerate(compiled_codes):
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print("{} file: {}".format(i + 1, compiled_code))
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# We should only trigger Dynamo compilation 4 times:
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# 1. forward pass (symbolic)
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# 2. compute_logits (symbolic)
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# 3. forward pass (shape 16)
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# 4. forward pass (shape 32)
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# and later calls should not trigger Dynamo compilation again.
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# NOTE: It might still trigger XLA compilation.
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# Check we have 4 compiled codes
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assert len(compiled_codes) == 4
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kv_cache_prefix = "kv_cache"
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attn_prefix = "ragged_paged_attention"
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# Check all the compilations are as expected
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compiled_fns = sorted(
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glob.glob(os.path.join(temp_dir, "__compiled_fn*Captured*.py")))
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for i, compiled_fn in enumerate(compiled_fns):
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print("{} file: {}".format(i + 1, compiled_fn))
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# The first compilation is symbolic, so it should not have any kv_caches
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with open(compiled_fns[0]) as f:
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content = f.read()
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assert kv_cache_prefix not in content
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# The second compilation is symbolic, so it should not have any kv_caches
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with open(compiled_fns[1]) as f:
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content = f.read()
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assert kv_cache_prefix not in content
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# The third compilation is shape 16, so it should have kv_caches and the
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# ragged_paged_attention
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with open(compiled_fns[2]) as f:
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content = f.read()
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assert (kv_cache_prefix in content and attn_prefix in content)
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# The forth compilation is shape 32, so it should have kv_caches and the
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# ragged_paged_attention
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with open(compiled_fns[3]) as f:
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content = f.read()
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assert (kv_cache_prefix in content and attn_prefix in content)
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