20 lines
880 B
Markdown
20 lines
880 B
Markdown
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(input-processing-pipeline)=
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# Input Processing Pipeline
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1. Input data is passed to {class}`~vllm.LLMEngine` (or {class}`~vllm.AsyncLLMEngine`).
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2. Tokenize the data if necessary.
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3. Process the inputs using {meth}`INPUT_REGISTRY.process_input <vllm.inputs.registry.InputRegistry.process_input>`.
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- For example, add placeholder tokens to reserve KV cache for multi-modal embeddings.
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4. Send the processed inputs to {class}`~vllm.executor.executor_base.ExecutorBase`.
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5. Distribute the inputs via {class}`~vllm.worker.worker_base.WorkerBase` to {class}`~vllm.worker.model_runner_base.ModelRunnerBase`.
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6. If the data contains multi-modal data, convert it into keyword arguments using {meth}`MULTIMODAL_REGISTRY.map_input <vllm.multimodal.MultiModalRegistry.map_input>`.
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- For example, convert a {class}`PIL.Image.Image` input to its pixel values for a vision model.
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