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server : fix format_infill (#10724)
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Browse Source 
* server : fix format_infill

* fix

* rename

* update test

* use another model

* update test

* update test

* test_invalid_input_extra_req
This commit is contained in:
Xuan Son Nguyen 2024-12-08 23:04:29 +01:00 committed by GitHub
parent e52522b869
commit ce8784bdb1
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GPG Key ID: B5690EEEBB952194
3 changed files with 53 additions and 8 deletions
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22
examples/server/server.cpp
View File

@ -3484,6 +3484,11 @@ int main(int argc, char ** argv) {
json data = json::parse(req.body);
// validate input
if (data.contains("prompt") && !data.at("prompt").is_string()) {
// prompt is optional
res_error(res, format_error_response("\"prompt\" must be a string", ERROR_TYPE_INVALID_REQUEST));
}
if (!data.contains("input_prefix")) {
res_error(res, format_error_response("\"input_prefix\" is required", ERROR_TYPE_INVALID_REQUEST));
}
@ -3493,9 +3498,11 @@ int main(int argc, char ** argv) {
}
if (data.contains("input_extra") && !data.at("input_extra").is_array()) {
// input_extra is optional
res_error(res, format_error_response("\"input_extra\" must be an array of {\"filename\": string, \"text\": string}", ERROR_TYPE_INVALID_REQUEST));
return;
}
json input_extra = json_value(data, "input_extra", json::array());
for (const auto & chunk : input_extra) {
// { "text": string, "filename": string }
@ -3511,6 +3518,21 @@ int main(int argc, char ** argv) {
}
data["input_extra"] = input_extra; // default to empty array if it's not exist
std::string prompt = json_value(data, "prompt", std::string());
std::vector<llama_tokens> tokenized_prompts = tokenize_input_prompts(ctx_server.ctx, prompt, true, true);
SRV_DBG("creating infill tasks, n_prompts = %d\n", (int) tokenized_prompts.size());
data["prompt"] = format_infill(
ctx_server.ctx,
data.at("input_prefix"),
data.at("input_suffix"),
data.at("input_extra"),
ctx_server.params_base.n_batch,
ctx_server.params_base.n_predict,
ctx_server.slots[0].n_ctx, // TODO: there should be a better way
ctx_server.params_base.spm_infill,
tokenized_prompts[0]
);
return handle_completions_generic(SERVER_TASK_TYPE_INFILL, data, res);
};

36
examples/server/tests/unit/test_infill.py
View File

@ -13,28 +13,28 @@ def test_infill_without_input_extra():
global server
server.start()
res = server.make_request("POST", "/infill", data={
"prompt": "Complete this",
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n int n_threads = llama_",
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n",
"prompt": " int n_threads = llama_",
"input_suffix": "}\n",
})
assert res.status_code == 200
assert match_regex("(One|day|she|saw|big|scary|bird)+", res.body["content"])
assert match_regex("(Ann|small|shiny)+", res.body["content"])
def test_infill_with_input_extra():
global server
server.start()
res = server.make_request("POST", "/infill", data={
"prompt": "Complete this",
"input_extra": [{
"filename": "llama.h",
"text": "LLAMA_API int32_t llama_n_threads();\n"
}],
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n int n_threads = llama_",
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n",
"prompt": " int n_threads = llama_",
"input_suffix": "}\n",
})
assert res.status_code == 200
assert match_regex("(cuts|Jimmy|mom|came|into|the|room)+", res.body["content"])
assert match_regex("(Dad|excited|park)+", res.body["content"])
@pytest.mark.parametrize("input_extra", [
@ -48,10 +48,30 @@ def test_invalid_input_extra_req(input_extra):
global server
server.start()
res = server.make_request("POST", "/infill", data={
"prompt": "Complete this",
"input_extra": [input_extra],
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n int n_threads = llama_",
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n",
"prompt": " int n_threads = llama_",
"input_suffix": "}\n",
})
assert res.status_code == 400
assert "error" in res.body
@pytest.mark.skipif(not is_slow_test_allowed(), reason="skipping slow test")
def test_with_qwen_model():
global server
server.model_file = None
server.model_hf_repo = "ggml-org/Qwen2.5-Coder-1.5B-IQ3_XXS-GGUF"
server.model_hf_file = "qwen2.5-coder-1.5b-iq3_xxs-imat.gguf"
server.start(timeout_seconds=600)
res = server.make_request("POST", "/infill", data={
"input_extra": [{
"filename": "llama.h",
"text": "LLAMA_API int32_t llama_n_threads();\n"
}],
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n",
"prompt": " int n_threads = llama_",
"input_suffix": "}\n",
})
assert res.status_code == 200
assert res.body["content"] == "n_threads();\n printf(\"Number of threads: %d\\n\", n_threads);\n return 0;\n"

3
examples/server/tests/utils.py
View File

@ -371,3 +371,6 @@ def match_regex(regex: str, text: str) -> bool:
).search(text)
is not None
)
def is_slow_test_allowed():
return os.environ.get("SLOW_TESTS") == "1" or os.environ.get("SLOW_TESTS") == "ON"