mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-10-28 08:31:25 +00:00
d00cbea63c
* minor : code style * server : fix prompt similarity calculation * server : initial host-memory prompt caching * cont * server : refactor * cont * cont : make the server task of the slot const * cont : minor [no ci] * server : cache prompts and checkpoints only for completion tasks * server : improve prompt caching logic * cont : fix check for number of cached prompts [no ci] * server : improve caching logic, add -cram CLI arg * server : print prompt mismatch info * cont : better naming [no ci] * server : improve prompt cache loading logic * server : add option to debug the slot contents (#16482) * server : add option to debug the slot contents * Update tools/server/server.cpp --------- Co-authored-by: Xuan-Son Nguyen <son@huggingface.co> * server : add option to disable prompt cache --------- Co-authored-by: Xuan-Son Nguyen <son@huggingface.co>
90 lines
3.0 KiB
Python
90 lines
3.0 KiB
Python
import pytest
|
|
from utils import *
|
|
|
|
server = ServerPreset.tinyllama2()
|
|
|
|
|
|
SHORT_TEXT = """
|
|
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
|
|
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
|
|
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
|
|
""".strip()
|
|
|
|
LONG_TEXT = """
|
|
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
|
|
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
|
|
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
|
|
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
|
|
""".strip()
|
|
|
|
@pytest.fixture(autouse=True)
|
|
def create_server():
|
|
global server
|
|
server = ServerPreset.tinyllama2()
|
|
server.n_ctx = 512
|
|
server.n_slots = 2
|
|
server.n_predict = 128
|
|
|
|
|
|
def test_ctx_shift_enabled():
|
|
# the prompt is 226 tokens
|
|
# the slot context is 512/2 = 256 tokens
|
|
# 96 tokens are generated thanks to shifting the context when it gets full
|
|
global server
|
|
server.enable_ctx_shift = True
|
|
server.start()
|
|
res = server.make_request("POST", "/completion", data={
|
|
"n_predict": 96,
|
|
"prompt": SHORT_TEXT,
|
|
})
|
|
assert res.status_code == 200
|
|
assert res.body["timings"]["prompt_n"] == 226
|
|
assert res.body["timings"]["predicted_n"] == 96
|
|
assert res.body["truncated"] is True
|
|
|
|
|
|
@pytest.mark.parametrize("n_predict,n_token_output,truncated", [
|
|
(64, 64, False),
|
|
(-1, 120, True),
|
|
])
|
|
def test_ctx_shift_disabled_short_prompt(n_predict: int, n_token_output: int, truncated: bool):
|
|
global server
|
|
server.n_predict = -1
|
|
server.start()
|
|
res = server.make_request("POST", "/completion", data={
|
|
"n_predict": n_predict,
|
|
"prompt": "Hi how are you",
|
|
})
|
|
assert res.status_code == 200
|
|
assert res.body["timings"]["predicted_n"] == n_token_output
|
|
assert res.body["truncated"] == truncated
|
|
|
|
|
|
def test_ctx_shift_disabled_long_prompt():
|
|
global server
|
|
server.start()
|
|
res = server.make_request("POST", "/completion", data={
|
|
"n_predict": 64,
|
|
"prompt": LONG_TEXT,
|
|
})
|
|
assert res.status_code != 200
|
|
assert "error" in res.body
|
|
assert "exceeds the available context size" in res.body["error"]["message"]
|
|
|
|
def test_ctx_shift_disabled_stream():
|
|
global server
|
|
server.start()
|
|
res = server.make_stream_request("POST", "/v1/completions", data={
|
|
"n_predict": 256,
|
|
"prompt": "Once",
|
|
"stream": True,
|
|
})
|
|
content = ""
|
|
for data in res:
|
|
choice = data["choices"][0]
|
|
if choice["finish_reason"] == "length":
|
|
assert len(content) > 0
|
|
else:
|
|
assert choice["finish_reason"] is None
|
|
content += choice["text"]
|