[10/N] Fix Wextra-semi warning (pytorch#140880)

Fixes #ISSUE_NUMBER

Pull Request resolved: pytorch#140880
Approved by: https://github.com/ezyang

Author: cyyever

aten/src/ATen/cpu/vec/vec128/vec128_bfloat16_neon.h

@@ -339,18 +339,18 @@ class Vectorized<c10::BFloat16> : public Vectorized16<at_bfloat16x8_t, c10::BFlo
     return map2_bitmask_with_vec_float_method(other, &Vectorized<float>::name); \
   }
 
-  DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(abs);
+  DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(abs)
   Vectorized frac() const;
-  DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(neg);
-  DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(trunc);
-  DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(sqrt);
-  DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(reciprocal);
-  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator==);
-  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator!=);
-  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator<);
-  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator<=);
-  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator>);
-  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator>=);
+  DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(neg)
+  DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(trunc)
+  DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(sqrt)
+  DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(reciprocal)
+  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator==)
+  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator!=)
+  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator<)
+  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator<=)
+  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator>)
+  DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator>=)
 
 #undef DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD
 #undef DEFINE_BINARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD

aten/src/ATen/cpu/vec/vec128/vec128_float_neon.h

@@ -303,8 +303,8 @@ template <> class Vectorized<float> {
   Vectorized<float> exp_u20() const {
     return exp();
   }
-  DEFINE_SLEEF_COMPATIBLE_BINARY_ELEMENTWISE_FUNC_WITH_SLEEF_NAME(fmod, Sleef_fmodf4);
-  DEFINE_SLEEF_COMPATIBLE_BINARY_ELEMENTWISE_FUNC_WITH_SLEEF_NAME(hypot, Sleef_hypotf4_u05);
+  DEFINE_SLEEF_COMPATIBLE_BINARY_ELEMENTWISE_FUNC_WITH_SLEEF_NAME(fmod, Sleef_fmodf4)
+  DEFINE_SLEEF_COMPATIBLE_BINARY_ELEMENTWISE_FUNC_WITH_SLEEF_NAME(hypot, Sleef_hypotf4_u05)
   Vectorized<float> i0() const {
     return map(calc_i0);
   }

aten/src/ATen/cpu/vec/vec128/vec128_half_neon.h

@@ -234,7 +234,7 @@ class Vectorized<c10::Half> : public Vectorized16<float16x8_t, c10::Half, BlendH
     }
     return loadu(res);
 #endif
-  };
+  }
   bool has_inf_nan() const {
     __at_align__ c10::Half tmp[size()];
     store(tmp);

aten/src/ATen/native/QuantizedLinear.cpp

@@ -38,8 +38,8 @@ CAFFE_KNOWN_TYPE(c10::intrusive_ptr<LinearPackedParamsBase>)
 #ifdef USE_FBGEMM
 namespace caffe2 {
 // Required for cpp_custom_type_hack to work
-CAFFE_KNOWN_TYPE(fbgemm::PackBMatrix<int8_t>);
-CAFFE_KNOWN_TYPE(c10::intrusive_ptr<PackedLinearWeightFp16>);
+CAFFE_KNOWN_TYPE(fbgemm::PackBMatrix<int8_t>)
+CAFFE_KNOWN_TYPE(c10::intrusive_ptr<PackedLinearWeightFp16>)
 } // namespace caffe2
 #endif // USE_FBGEMM
 

torchgen/dest/ufunc.py

@@ -313,7 +313,7 @@ def compute_ufunc_cuda(g: NativeFunctionsGroup) -> str:
 {ufunctors}
 
 {stub_sig.type_defn()};
-{stub_sig.dispatch_decl()};
+{stub_sig.dispatch_decl()}
 
 {stub_sig.kernel_defn()} {{
   AT_DISPATCH_SWITCH(iter.common_dtype(), "{sig.name}",
@@ -386,7 +386,7 @@ def compute_ufunc_cpu(g: NativeFunctionsGroup) -> str:
 
     return f"""
 {stub_sig.type_defn()};
-{stub_sig.dispatch_decl()};
+{stub_sig.dispatch_decl()}
 {stub_sig.dispatch_defn()};
 
 {sig.defn()} {{
@@ -546,6 +546,6 @@ def compute_ufunc_cpu_kernel(g: NativeFunctionsGroup) -> str:
 }} // anonymous namespace
 
 {stub_sig.type_defn()};
-{stub_sig.dispatch_decl()};
+{stub_sig.dispatch_decl()}
 REGISTER_DISPATCH({stub_sig.name}, &{stub_sig.kernel_name})
 """