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94 lines
2.2 KiB
Python
94 lines
2.2 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from typing import List, Protocol
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from llama_models.schema_utils import webmethod
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from pydantic import BaseModel
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from llama_models.llama3.api.datatypes import * # noqa: F403
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from llama_stack.apis.dataset import * # noqa: F403
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from llama_stack.apis.common.training_types import * # noqa: F403
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class EvaluationJob(BaseModel):
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job_uuid: str
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class EvaluationJobLogStream(BaseModel):
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job_uuid: str
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class EvaluateTaskRequestCommon(BaseModel):
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job_uuid: str
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dataset: TrainEvalDataset
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checkpoint: Checkpoint
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# generation params
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sampling_params: SamplingParams = SamplingParams()
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@json_schema_type
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class EvaluateResponse(BaseModel):
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"""Scores for evaluation."""
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metrics: Dict[str, float]
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@json_schema_type
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class EvaluationJobStatusResponse(BaseModel):
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job_uuid: str
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@json_schema_type
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class EvaluationJobArtifactsResponse(BaseModel):
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"""Artifacts of a evaluation job."""
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job_uuid: str
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@json_schema_type
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class EvaluationJobCreateResponse(BaseModel):
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"""Response to create a evaluation job."""
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job_uuid: str
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class Evals(Protocol):
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@webmethod(route="/evals/run")
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async def run_evals(
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self,
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model: str,
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dataset: str,
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task: str,
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) -> EvaluateResponse: ...
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@webmethod(route="/evals/jobs")
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def get_evaluation_jobs(self) -> List[EvaluationJob]: ...
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@webmethod(route="/evals/job/create")
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async def create_evaluation_job(
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self, model: str, dataset: str, task: str
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) -> EvaluationJob: ...
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@webmethod(route="/evals/job/status")
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def get_evaluation_job_status(
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self, job_uuid: str
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) -> EvaluationJobStatusResponse: ...
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# sends SSE stream of logs
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@webmethod(route="/evals/job/logs")
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def get_evaluation_job_logstream(self, job_uuid: str) -> EvaluationJobLogStream: ...
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@webmethod(route="/evals/job/cancel")
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def cancel_evaluation_job(self, job_uuid: str) -> None: ...
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@webmethod(route="/evals/job/artifacts")
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def get_evaluation_job_artifacts(
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self, job_uuid: str
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) -> EvaluationJobArtifactsResponse: ...
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