Remove caching

benchmarks/bench_json_schema.py

@@ -1,4 +1,3 @@
-from outlines_core.caching import cache_disabled
 from outlines_core.fsm.guide import RegexGuide
 from outlines_core.fsm.json_schema import build_regex_from_schema
 
@@ -71,11 +70,9 @@ def setup(self, schema_name):
         self.schema = schemas[schema_name]
         ensure_numba_compiled(self.tokenizer)
 
-    @cache_disabled()
     def time_json_schema_to_regex(self, schema_name):
         build_regex_from_schema(self.schema)
 
-    @cache_disabled()
     def time_json_schema_to_fsm(self, schema_name):
         regex = build_regex_from_schema(self.schema)
         RegexGuide(regex, self.tokenizer)

benchmarks/bench_numba_compile.py

@@ -3,7 +3,6 @@
 import interegular
 import numba
 
-from outlines_core.caching import cache_disabled
 from outlines_core.fsm import regex
 
 from .common import setup_tokenizer
@@ -29,6 +28,5 @@ def mock_njit(*args, **kwargs):
     def teardown(self):
         numba.njit = self.original_njit
 
-    @cache_disabled()
     def time_compile_numba(self):
         self.regex.create_fsm_index_tokenizer(self.regex_pattern, self.tokenizer)

benchmarks/bench_regex_guide.py

@@ -1,4 +1,3 @@
-from outlines_core.caching import cache_disabled
 from outlines_core.fsm.guide import RegexGuide
 
 from .common import ensure_numba_compiled, setup_tokenizer
@@ -24,7 +23,6 @@ def setup(self, pattern_name):
         ensure_numba_compiled(self.tokenizer)
         self.pattern = regex_samples[pattern_name]
 
-    @cache_disabled()
     def time_regex_to_guide(self, pattern_name):
         RegexGuide(self.pattern, self.tokenizer)
 
@@ -37,6 +35,5 @@ def setup(self, pattern_name):
         ensure_numba_compiled(self.tokenizer)
         self.pattern = regex_samples[pattern_name]
 
-    @cache_disabled()
     def peakmem_regex_to_guide(self, pattern_name):
         RegexGuide(self.pattern, self.tokenizer)

src/outlines_core/__init__.py

@@ -1,9 +1,4 @@
 """Outlines is a Generative Model Programming Framework."""
 import outlines_core.models
-from outlines_core.caching import clear_cache, disable_cache, get_cache
 
-__all__ = [
-    "clear_cache",
-    "disable_cache",
-    "get_cache",
-]
+__all__ = ["models"]

src/outlines_core/fsm/guide.py

@@ -14,7 +14,6 @@
 import interegular
 import torch
 
-from outlines_core.caching import cache
 from outlines_core.fsm.regex import (
     create_fsm_index_tokenizer,
     make_byte_level_fsm,
@@ -114,7 +113,6 @@ def copy(self):
         return self
 
 
-@cache()
 def create_states_mapping(
     regex_string: str,
     tokenizer: "Tokenizer",