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[Evals API][4/n] evals with generation meta-reference impl (#303)

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* wip

* dataset validation

* test_scoring

* cleanup

* clean up test

* comments

* error checking

* dataset client

* test client:

* datasetio client

* clean up

* basic scoring function works

* scorer wip

* equality scorer

* score batch impl

* score batch

* update scoring test

* refactor

* validate scorer input

* address comments

* evals with generation

* add all rows scores to ScoringResult

* minor typing

* bugfix

* scoring function def rename

* rebase name

* refactor

* address comments

* Update iOS inference instructions for new quantization

* Small updates to quantization config

* Fix score threshold in faiss

* Bump version to 0.0.45

* Handle both ipv6 and ipv4 interfaces together

* update manifest for build templates

* Update getting_started.md

* chatcompletion & completion input type validation

* inclusion->subsetof

* error checking

* scoring_function -> scoring_fn rename, scorer -> scoring_fn rename

* address comments

* [Evals API][5/n] fixes to generate openapi spec (#323)

* generate openapi

* typing comment, dataset -> dataset_id

* remove custom type

* sample eval run.yaml

---------

Co-authored-by: Dalton Flanagan <6599399+dltn@users.noreply.github.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
This commit is contained in:
Xi Yan 2024-10-25 13:12:39 -07:00 • committed by GitHub
parent 426d821e7f
commit abdf7cddf3
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27
llama_stack/providers/registry/eval.py Normal file
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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from typing import List
from llama_stack.distribution.datatypes import * # noqa: F403
def available_providers() -> List[ProviderSpec]:
return [
InlineProviderSpec(
api=Api.eval,
provider_type="meta-reference",
pip_packages=[],
module="llama_stack.providers.impls.meta_reference.eval",
config_class="llama_stack.providers.impls.meta_reference.eval.MetaReferenceEvalConfig",
api_dependencies=[
Api.datasetio,
Api.datasets,
Api.scoring,
Api.inference,
],
),
]