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The benchmark loads a small model to allow running on many platforms and to keep execution time low for experimentation. It will make sense to add a version to this test that loads a larger model (e.g. llama3-8b).
20 lines
474 B
Python
20 lines
474 B
Python
load("//test/benchmarks:defs.bzl", "benchmark_test")
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package(
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default_applicable_licenses = ["//:license"],
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licenses = ["notice"],
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)
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benchmark_test(
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name = "vllm_test",
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srcs = ["vllm_test.go"],
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visibility = ["//:sandbox"],
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deps = [
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"//pkg/test/dockerutil",
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"//test/benchmarks/harness",
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"//test/benchmarks/tools",
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"//test/metricsviz",
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"@com_github_docker_docker//api/types/mount:go_default_library",
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],
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)
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