mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-11-11 21:39:52 +00:00
1cc0155d04
* server : don't pass temperature as string * server : increase timeout * tests : fix the fix 0.8f -> 0.8 ggml-ci * tests : set explicit temperature
120 lines
4.4 KiB
Gherkin
120 lines
4.4 KiB
Gherkin
@llama.cpp
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@results
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Feature: Results
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Background: Server startup
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Given a server listening on localhost:8080
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And a model file tinyllamas/split/stories15M-00001-of-00003.gguf from HF repo ggml-org/models
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And a model file test-model-00001-of-00003.gguf
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And 128 as batch size
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And 1024 KV cache size
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And 128 max tokens to predict
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And continuous batching
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Scenario Outline: consistent results with same seed
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Given <n_slots> slots
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And 0.0 temperature
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Then the server is starting
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Then the server is healthy
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Given 4 prompts "Title: Little Red Riding Hood But In Space\n\nSummary:" with seed 42
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Given concurrent completion requests
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Then the server is busy
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Then the server is idle
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And all slots are idle
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Then all predictions are equal
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Examples:
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| n_slots |
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| 1 |
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| 2 |
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Scenario Outline: different results with different seed
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Given <n_slots> slots
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And 1.0 temperature
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Then the server is starting
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Then the server is healthy
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Given 1 prompts "Title: Little Red Riding Hood But In Space\n\nSummary:" with seed 42
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Given 1 prompts "Title: Little Red Riding Hood But In Space\n\nSummary:" with seed 43
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Given 1 prompts "Title: Little Red Riding Hood But In Space\n\nSummary:" with seed 44
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Given 1 prompts "Title: Little Red Riding Hood But In Space\n\nSummary:" with seed 45
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Given concurrent completion requests
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Then the server is busy
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Then the server is idle
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And all slots are idle
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Then all predictions are different
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Examples:
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| n_slots |
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| 1 |
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| 2 |
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Scenario Outline: consistent results with same seed and varying batch size
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Given 4 slots
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And <temp> temperature
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# And 0 as draft
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Then the server is starting
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Then the server is healthy
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Given 1 prompts "Write a very long story about AI." with seed 42
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And concurrent completion requests
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# Then the server is busy # Not all slots will be utilized.
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Then the server is idle
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And all slots are idle
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Given <n_parallel> prompts "Write a very long story about AI." with seed 42
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And concurrent completion requests
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# Then the server is busy # Not all slots will be utilized.
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Then the server is idle
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And all slots are idle
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Then all predictions are equal
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Examples:
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| n_parallel | temp |
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| 1 | 0.0 |
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| 2 | 0.0 |
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| 4 | 0.0 |
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| 1 | 1.0 |
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# FIXME: These tests fail on master.
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# Problems: unified KV cache (except for CPU backend with LLAMA_NO_LLAMAFILE=1), SIMD nondeterminism.
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# See https://github.com/ggerganov/whisper.cpp/issues/1941#issuecomment-1986923227
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# and https://github.com/ggerganov/llama.cpp/pull/6122#discussion_r1531405574
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# and https://github.com/ggerganov/llama.cpp/pull/7347 .
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# | 2 | 1.0 |
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# | 4 | 1.0 |
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Scenario Outline: consistent token probs with same seed and prompt
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Given <n_slots> slots
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And <n_kv> KV cache size
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And 1.0 temperature
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And <n_predict> max tokens to predict
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Then the server is starting
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Then the server is healthy
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Given 1 prompts "The meaning of life is" with seed 42
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And concurrent completion requests
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# Then the server is busy # Not all slots will be utilized.
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Then the server is idle
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And all slots are idle
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Given <n_parallel> prompts "The meaning of life is" with seed 42
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And concurrent completion requests
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# Then the server is busy # Not all slots will be utilized.
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Then the server is idle
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And all slots are idle
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Then all token probabilities are equal
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Examples:
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| n_slots | n_kv | n_predict | n_parallel |
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| 4 | 1024 | 1 | 1 |
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| 4 | 1024 | 1 | 4 |
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# FIXME: These tests fail on master.
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# Problems: unified KV cache (except for CPU backend with LLAMA_NO_LLAMAFILE=1), SIMD nondeterminism.
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# See https://github.com/ggerganov/whisper.cpp/issues/1941#issuecomment-1986923227
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# and https://github.com/ggerganov/llama.cpp/pull/6122#discussion_r1531405574
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# and https://github.com/ggerganov/llama.cpp/pull/7347 .
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# | 4 | 1024 | 100 | 1 |
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# This test still fails even the above patches; the first token probabilities are already different.
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# | 4 | 1024 | 100 | 4 |
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