mirror of
https://github.com/ggerganov/llama.cpp.git
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3573fa8e7b
* server : (refactor) no more json in server_task input * add test for slots endpoint * add tests for /props and /slots * remove task inf_type * fix CI by adding safe_json_to_str * add "model_path" to /props * update readme
79 lines
2.3 KiB
Python
79 lines
2.3 KiB
Python
import pytest
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from utils import *
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server = ServerPreset.tinyllama2()
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@pytest.fixture(scope="module", autouse=True)
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def create_server():
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global server
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server = ServerPreset.tinyllama2()
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def test_server_start_simple():
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global server
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server.start()
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res = server.make_request("GET", "/health")
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assert res.status_code == 200
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def test_server_props():
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global server
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server.start()
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res = server.make_request("GET", "/props")
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assert res.status_code == 200
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assert ".gguf" in res.body["model_path"]
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assert res.body["total_slots"] == server.n_slots
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default_val = res.body["default_generation_settings"]
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assert server.n_ctx is not None and server.n_slots is not None
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assert default_val["n_ctx"] == server.n_ctx / server.n_slots
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assert default_val["params"]["seed"] == server.seed
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def test_server_models():
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global server
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server.start()
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res = server.make_request("GET", "/models")
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assert res.status_code == 200
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assert len(res.body["data"]) == 1
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assert res.body["data"][0]["id"] == server.model_alias
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def test_server_slots():
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global server
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# without slots endpoint enabled, this should return error
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server.server_slots = False
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server.start()
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res = server.make_request("GET", "/slots")
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assert res.status_code == 501 # ERROR_TYPE_NOT_SUPPORTED
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assert "error" in res.body
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server.stop()
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# with slots endpoint enabled, this should return slots info
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server.server_slots = True
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server.n_slots = 2
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server.start()
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res = server.make_request("GET", "/slots")
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assert res.status_code == 200
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assert len(res.body) == server.n_slots
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assert server.n_ctx is not None and server.n_slots is not None
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assert res.body[0]["n_ctx"] == server.n_ctx / server.n_slots
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assert "params" in res.body[0]
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assert res.body[0]["params"]["seed"] == server.seed
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def test_load_split_model():
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global server
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server.model_hf_repo = "ggml-org/models"
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server.model_hf_file = "tinyllamas/split/stories15M-q8_0-00001-of-00003.gguf"
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server.model_alias = "tinyllama-split"
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server.start()
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res = server.make_request("POST", "/completion", data={
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"n_predict": 16,
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"prompt": "Hello",
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"temperature": 0.0,
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})
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assert res.status_code == 200
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assert match_regex("(little|girl)+", res.body["content"])
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