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Python class
EmbeddingsPipeline
EmbeddingsPipeline
final class max.pipelines.EmbeddingsPipeline(pipeline_config, pipeline_model, eos_token_id, weight_adapters, tokenizer)
Bases: Pipeline[EmbeddingsGenerationInputs, EmbeddingsGenerationOutput]
Generalized token generator pipeline.
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Parameters:
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- pipeline_config (PipelineConfig)
- pipeline_model (type[PipelineModel[EmbeddingsContext]])
- eos_token_id (int)
- weight_adapters (dict[WeightsFormat, WeightsAdapter])
- tokenizer (PipelineTokenizer[BaseContextType, npt.NDArray[np.integer[Any]], TextGenerationRequest])
execute()
execute(inputs)
Processes the batch and returns embeddings.
Given a batch, executes the graph and returns the list of embedding outputs per request.
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Parameters:
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inputs (EmbeddingsGenerationInputs)
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Return type:
release()
release(request_id)
Releases resources for the request (no-op for embeddings).
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Parameters:
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request_id (RequestID)
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Return type:
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None
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