[Doc] Fix typo in documentation (#14783)
Signed-off-by: yasu52 <tsuguro4649@gmail.com>
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@@ -419,7 +419,7 @@ List of `v_vec` for one thread
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which is also `V_VEC_SIZE` elements from `logits`. Overall, with
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multiple inner iterations, each warp will process one block of value
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tokens. And with multiple outer iterations, the whole context value
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tokens are processd
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tokens are processed
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```cpp
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float accs[NUM_ROWS_PER_THREAD];
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@@ -13,7 +13,7 @@ Ensure the v1 LLM Engine exposes a superset of the metrics available in v0.
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Metrics in vLLM can be categorized as follows:
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1. Server-level metrics: these are global metrics that track the state and performance of the LLM engine. These are typically exposed as Gauges or Counters in Prometheus.
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2. Request-level metrics: these are metrics that track the characteristics - e.g. size and timing - of individual requests. These are typically exposed as Histrograms in Prometheus, and are often the SLO that an SRE monitoring vLLM will be tracking.
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2. Request-level metrics: these are metrics that track the characteristics - e.g. size and timing - of individual requests. These are typically exposed as Histograms in Prometheus, and are often the SLO that an SRE monitoring vLLM will be tracking.
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The mental model is that the "Server-level Metrics" explain why the "Request-level Metrics" are what they are.
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@@ -47,7 +47,7 @@ In v0, the following metrics are exposed via a Prometheus-compatible `/metrics`
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- `vllm:tokens_total` (Counter)
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- `vllm:iteration_tokens_total` (Histogram)
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- `vllm:time_in_queue_requests` (Histogram)
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- `vllm:model_forward_time_milliseconds` (Histogram
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- `vllm:model_forward_time_milliseconds` (Histogram)
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- `vllm:model_execute_time_milliseconds` (Histogram)
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- `vllm:request_params_n` (Histogram)
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- `vllm:request_params_max_tokens` (Histogram)
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