server bench: fix bench not waiting for model load#7284
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JohannesGaessler merged 1 commit intoggml-org:masterfrom May 15, 2024
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server bench: fix bench not waiting for model load#7284JohannesGaessler merged 1 commit intoggml-org:masterfrom
JohannesGaessler merged 1 commit intoggml-org:masterfrom
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phymbert
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It looks like this change causes the server Benchmark that we run on the self-hosted runner to fail like this: https://github.com/ggerganov/llama.cpp/actions/runs/9094073377/job/24998422481 I tried to revert it and now the benchmark passes: https://github.com/ggerganov/llama.cpp/actions/runs/9112533114 I'm not sure why it is causing the error - any ideas how to fix? |
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Yes, the problem is here: It considers prometheus not started, which is not working as expected. Probably easier to revert and separate in another PR prometheus check vs llama.cpp server checks ? |
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…7284)" (ggml-org#7334) This reverts commit 583fd6b.
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…7284)" (ggml-org#7334) This reverts commit 583fd6b.
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While working on #6828 I noticed that when using a large static n-ngam cache the benchmark would report 0 iterations for the first 8 minutes and then 30 iterations for the last 2 minutes. What seems to be happening is that
bench.pydoesn't correctly wait for the server to be ready so the clock starts ticking even while the n-gram cache is still being loaded. From what I can tell loading the model from disk can have the same issue if it's e.g. on an HDD.This PR makes it so that
bench.pywaits for response 200 (SERVER_STATE_READY) from the health endpoint for checking whether the server is actually ready. I'm not sure if there is a better way to implement this than what I did; I'm definitely open to suggestions.