69 lines
2.6 KiB
Python
69 lines
2.6 KiB
Python
import pytest
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MODELS = [
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"facebook/opt-125m",
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]
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("dtype", ["float"])
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@pytest.mark.parametrize("max_tokens", [128])
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def test_metric_counter_prompt_tokens(
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vllm_runner,
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example_prompts,
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model: str,
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dtype: str,
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max_tokens: int,
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) -> None:
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vllm_model = vllm_runner(model,
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dtype=dtype,
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disable_log_stats=False,
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gpu_memory_utilization=0.4)
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tokenizer = vllm_model.model.get_tokenizer()
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prompt_token_counts = [len(tokenizer.encode(p)) for p in example_prompts]
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# This test needs at least 2 prompts in a batch of different lengths to verify their token count is correct despite padding.
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assert len(example_prompts) > 1, "at least 2 prompts are required"
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assert prompt_token_counts[0] != prompt_token_counts[1], (
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"prompts of different lengths are required")
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vllm_prompt_token_count = sum(prompt_token_counts)
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_ = vllm_model.generate_greedy(example_prompts, max_tokens)
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stat_logger = vllm_model.model.llm_engine.stat_logger
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metric_count = stat_logger.metrics.counter_prompt_tokens.labels(
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**stat_logger.labels)._value.get()
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assert vllm_prompt_token_count == metric_count, (
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f"prompt token count: {vllm_prompt_token_count!r}\nmetric: {metric_count!r}"
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)
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("dtype", ["float"])
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@pytest.mark.parametrize("max_tokens", [128])
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def test_metric_counter_generation_tokens(
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vllm_runner,
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example_prompts,
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model: str,
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dtype: str,
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max_tokens: int,
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) -> None:
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vllm_model = vllm_runner(model,
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dtype=dtype,
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disable_log_stats=False,
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gpu_memory_utilization=0.4)
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vllm_outputs = vllm_model.generate_greedy(example_prompts, max_tokens)
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tokenizer = vllm_model.model.get_tokenizer()
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stat_logger = vllm_model.model.llm_engine.stat_logger
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metric_count = stat_logger.metrics.counter_generation_tokens.labels(
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**stat_logger.labels)._value.get()
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vllm_generation_count = 0
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for i in range(len(example_prompts)):
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vllm_output_ids, vllm_output_str = vllm_outputs[i]
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prompt_ids = tokenizer.encode(example_prompts[i])
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# vllm_output_ids contains both prompt tokens and generation tokens. We're interested only in the count of the generation tokens.
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vllm_generation_count += len(vllm_output_ids) - len(prompt_ids)
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assert vllm_generation_count == metric_count, (
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f"generation token count: {vllm_generation_count!r}\nmetric: {metric_count!r}"
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)
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