[BE][Ez]: Enable B019 - flags memory leaks through LRU cache on method (#127686)

Flags potential mem leaks through LRUCache and will hopefully make future contributors rethink this pattern which can cause memleaks. noqas the violations we currently have (should be fixed later)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/127686
Approved by: https://github.com/c-p-i-o

pyproject.toml

@@ -48,7 +48,6 @@ ignore = [
     # these ignores are from flake8-bugbear; please fix!
     "B007", "B008", "B017",
     "B018", # Useless expression
-    "B019",
     "B023",
     "B028", # No explicit `stacklevel` keyword argument found
     "E402",

torch/_inductor/codecache.py

@@ -258,7 +258,7 @@ class LocalCache(CacheBase):
 
 
 class PersistentCache(CacheBase):
-    @functools.lru_cache(None)
+    @functools.lru_cache(None)  # noqa: B019
     def get_global_cache(self):
         global_cache_path = self.get_global_cache_path()
         if global_cache_path is None or not global_cache_path.is_file():
@@ -1292,7 +1292,7 @@ cdll.LoadLibrary("__lib_path__")
     def __hash__(self) -> int:
         return hash(str(self))
 
-    @functools.lru_cache(None)
+    @functools.lru_cache(None)  # noqa: B019
     def __bool__(self) -> bool:
         if config.cpp.vec_isa_ok is not None:
             return config.cpp.vec_isa_ok

torch/_inductor/codegen/cpp_wrapper_cpu.py

@@ -1533,7 +1533,7 @@ class CppWrapperCpu(WrapperCodeGen):
         else:
             return LAYOUT_TO_ATEN[layout]
 
-    @functools.lru_cache(None)
+    @functools.lru_cache(None)  # noqa: B019
     def codegen_int_array_var(
         self,
         int_array: str,

torch/_inductor/codegen/cpp_wrapper_cuda.py

@@ -76,7 +76,7 @@ class CppWrapperCuda(CppWrapperCpu):
             self.prefix.writeline("\n")
         return super().generate(is_inference)
 
-    @functools.lru_cache(None)
+    @functools.lru_cache(None)  # noqa: B019
     def generate_load_kernel_once(
         self,
         name: str,

torch/_inductor/select_algorithm.py

@@ -772,7 +772,7 @@ class ExternKernelChoice:
     def call_name(self):
         return f"extern_kernels.{self.name}"
 
-    @functools.lru_cache(None)
+    @functools.lru_cache(None)  # noqa: B019
     def hash_key(self):
         fn = self.to_callable()
         parts = [

torch/distributed/_tensor/_sharding_prop.py

@@ -88,7 +88,7 @@ class ShardingPropagator:
         if schema_info is not None:
             self.op_to_schema_info[op_overload] = schema_info
 
-    @lru_cache
+    @lru_cache  # noqa: B019
     def _propagate_tensor_meta(
         self, op_schema: OpSchema
     ) -> Union[None, TensorMeta, Sequence[Optional[TensorMeta]]]: