huggingface/text-generation-inference
5
0
Fork 0
mirror of https://github.com/huggingface/text-generation-inference.git synced 2025-09-11 12:24:53 +00:00
Code Issues Packages Projects Releases Wiki Activity

chore: update outlines function call to new name

Browse Source 
this is introduces since version 0.32
with this pull request
https://github.com/outlines-dev/outlines/pull/556
It changes the function name from
`build_regex_from_object` to `build_regex_from_schema`
This leads to an error in newer docker containers when starting
tgi.
This commit is contained in:
Jannis Schönleber 2024-03-19 18:19:57 +01:00
parent 0d72af5ab0
commit a122582bc7
2 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
server/pyproject.toml
View File

@ -34,7 +34,7 @@ peft = { version = "^0.9.0", optional = true }
torch = { version = "^2.1.1", optional = true } torch = { version = "^2.1.1", optional = true }
scipy = "^1.11.1" scipy = "^1.11.1"
pillow = "^10.0.0" pillow = "^10.0.0"
outlines= { version = "^0.0.27", optional = true } outlines= { version = "^0.0.32", optional = true }
[tool.poetry.extras] [tool.poetry.extras]
torch = ["torch"] torch = ["torch"]

4
server/text_generation_server/utils/logits_process.py
View File

@ -6,7 +6,7 @@ from typing import Dict, Union
from text_generation_server.pb.generate_pb2 import GrammarType from text_generation_server.pb.generate_pb2 import GrammarType
from outlines.fsm.fsm import RegexFSM from outlines.fsm.fsm import RegexFSM
from outlines.fsm.json_schema import build_regex_from_object from outlines.fsm.json_schema import build_regex_from_schema
from functools import lru_cache from functools import lru_cache
from typing import List, Optional, DefaultDict from typing import List, Optional, DefaultDict
import time import time
@ -512,7 +512,7 @@ class GrammarLogitProcessor(LogitsProcessor):
def _cached_compile_fsm(grammar_type, schema, tokenizer): def _cached_compile_fsm(grammar_type, schema, tokenizer):
start_time = time.time() start_time = time.time()
if grammar_type == GrammarType.GRAMMAR_TYPE_JSON: if grammar_type == GrammarType.GRAMMAR_TYPE_JSON:
schema = build_regex_from_object(schema) schema = build_regex_from_schema(schema)
elif grammar_type == GrammarType.GRAMMAR_TYPE_REGEX: elif grammar_type == GrammarType.GRAMMAR_TYPE_REGEX:
pass # schema is already a regex just here for clarity pass # schema is already a regex just here for clarity
fsm = RegexFSM(schema, tokenizer) fsm = RegexFSM(schema, tokenizer)