[TorchGen] Remove unused variables (#122576)

This PR removes some unused Python variables from TorchGen scripts.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/122576
Approved by: https://github.com/Skylion007

torchgen/dest/lazy_ir.py

@@ -243,7 +243,6 @@ class GenLazyIR(ABC):
         # for now, we just want one IR class decl and soon after also the method defs
         # and we use the functional version not out/inplace.
         all_args = schema.filtered_args()
-        value_args = schema.filtered_args(values=True, scalars=False)
         scalar_args = schema.filtered_args(values=False, scalars=True)
 
         ctor_args = [
@@ -675,7 +674,6 @@ class GenLazyShapeInferenceDefinition:
 
     @method_with_native_function
     def __call__(self, f: NativeFunction) -> List[str]:
-        sig = kernel_signature(f, self.backend_index)
         metadata = self.backend_index.get_kernel(f)
         assert metadata is not None
 

torchgen/gen_lazy_tensor.py

@@ -1,12 +1,10 @@
 import argparse
 import os
 import pathlib
-import re
-from collections import Counter, namedtuple
+from collections import namedtuple
 from typing import (
     Any,
     Callable,
-    Dict,
     Iterable,
     Iterator,
     List,
@@ -28,7 +26,7 @@ from torchgen.gen import get_grouped_native_functions, parse_native_yaml
 
 from torchgen.model import NativeFunction, NativeFunctionsGroup, OperatorName
 from torchgen.selective_build.selector import SelectiveBuilder
-from torchgen.utils import concatMap, FileManager, NamespaceHelper
+from torchgen.utils import FileManager, NamespaceHelper
 from torchgen.yaml_utils import YamlLoader
 from .gen_backend_stubs import (
     error_on_missing_kernels,
@@ -107,14 +105,6 @@ def parse_native_functions_keys(
     backend_yaml_path: str,
     grouped_native_functions: Sequence[Union[NativeFunction, NativeFunctionsGroup]],
 ) -> Tuple[List[OperatorName], List[Any], List[OperatorName]]:
-    native_functions_map: Dict[OperatorName, NativeFunction] = {
-        f.func.name: f
-        for f in concatMap(
-            lambda f: [f] if isinstance(f, NativeFunction) else list(f.functions()),
-            grouped_native_functions,
-        )
-    }
-
     with open(backend_yaml_path) as f:
         yaml_values = yaml.load(f, Loader=YamlLoader)
     assert isinstance(yaml_values, dict)
@@ -142,10 +132,6 @@ def validate_shape_inference_header(
             f"Unable to read from the specified shape_inference_hdr file: {shape_inference_hdr}"
         ) from e
 
-    shape_infr_regex = r"compute_shape_(\w+)"
-    actual_shape_infr_name_counts = Counter(
-        re.findall(shape_infr_regex, shape_infr_decls)
-    )
     # TODO(whc) add a check for shape inference functions that have meta kernels implement and should be retired.
 
     missing_decls = [