forked from phoenix-oss/llama-stack-mirror
abdf7cddf3
* 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>
27 lines
834 B
Python
27 lines
834 B
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
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from llama_stack.distribution.datatypes import * # noqa: F403
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def available_providers() -> List[ProviderSpec]:
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return [
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InlineProviderSpec(
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api=Api.eval,
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provider_type="meta-reference",
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pip_packages=[],
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module="llama_stack.providers.impls.meta_reference.eval",
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config_class="llama_stack.providers.impls.meta_reference.eval.MetaReferenceEvalConfig",
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api_dependencies=[
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Api.datasetio,
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Api.datasets,
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Api.scoring,
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Api.inference,
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],
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),
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]
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