Fix Lint

joaquinmartis · pytorchmergebot · commit 58cc0cb340c1 · 2025-05-28T19:11:01.000Z
diff --git a/torch/_inductor/kernel/mm.py b/torch/_inductor/kernel/mm.py
@@ -836,7 +836,6 @@ def tuned_int_mm(mat1, mat2, *, layout=None):
 
 @register_lowering(aten.addmm, type_promotion_kind=None)
 def tuned_addmm(inp, mat1, mat2, *, alpha=1, beta=1, layout=None):
-    ordered_kwargs_for_cpp_kernel = ("beta", "alpha")
     device_type = ir.get_device_type(mat1)
     m, n, k, layout, mat1, mat2, inp_expanded = mm_args(mat1, mat2, inp, layout=layout)
     static_shape, is_nonzero = _is_static_problem(layout)
diff --git a/torch/_inductor/kernel/mm_common.py b/torch/_inductor/kernel/mm_common.py
@@ -12,8 +12,8 @@
 
 from .. import config as inductor_config
 from ..codegen.wrapper import PythonWrapperCodegen
-from ..ir import _IntLike, ChoiceCaller, Layout, TensorBox
-from ..utils import get_num_sms, TMA_DESCRIPTOR_SIZE, use_aten_gemm_kernels
+from ..ir import _IntLike, Layout, TensorBox
+from ..utils import get_num_sms, TMA_DESCRIPTOR_SIZE
 
 
 log = logging.getLogger(__name__)
diff --git a/torch/_inductor/quantized_lowerings.py b/torch/_inductor/quantized_lowerings.py
@@ -4,7 +4,7 @@
 import torch
 from torch._inductor.kernel.mm_common import mm_args
 
-from . import config as inductor_config, lowering
+from . import config as lowering
 from .codegen.cpp_gemm_template import CppGemmTemplate, CppWoqInt4GemmTemplate
 from .codegen.cpp_utils import create_epilogue_with_attr
 from .lowering import expand, register_lowering
@@ -94,7 +94,6 @@ def _mul_epilogue(buf: torch.Tensor) -> Any:
             "_weight_int8pack_mm", choices, [mat1, mat2, scale], aten_layout
         )
 
-
     @register_lowering(aten._weight_int4pack_mm_for_cpu, type_promotion_kind=None)  # type: ignore[misc]
     def int4pack_mm_cpu(
         input: torch.Tensor,
