lintrunner on "Reapply "Implement unary_ufunc functions using elementwise_util (#9386)""

This PR was reverted due to internal test failures, which should be fixed now (and is being sent as an exported diff to make sure).

Original summary:
One less set of independent implementations to worry about going forward
(e.g., we don't have to vectorize these separately from elementwise_util
and they get all benefits of elementwise_util).

Differential Revision: [D76754824](https://our.internmc.facebook.com/intern/diff/D76754824/)

[ghstack-poisoned]

Author: swolchok

backends/cadence/fusion_g3/operators/op_exp.cpp

@@ -61,8 +61,8 @@ Tensor& exp_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   } else {
     static constexpr const char op_name[] = "exp.out";
     return torch::executor::native::internal::
-      unary_ufunc_realhbbf16_to_floathbf16<op_name>(
-          [](auto x) { return executorch::math::exp(x); }, ctx, in, out);
+        unary_ufunc_realhbbf16_to_floathbf16<op_name>(
+            [](auto x) { return executorch::math::exp(x); }, ctx, in, out);
   }
 }
 

backends/cadence/fusion_g3/operators/op_rsqrt.cpp

@@ -54,8 +54,8 @@ Tensor& rsqrt_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   } else {
     static constexpr const char op_name[] = "rsqrt.out";
     return torch::executor::native::internal::
-      unary_ufunc_realhbbf16_to_floathbf16<op_name>(
-          [](auto x) { return executorch::math::rsqrt(x); }, ctx, in, out);
+        unary_ufunc_realhbbf16_to_floathbf16<op_name>(
+            [](auto x) { return executorch::math::rsqrt(x); }, ctx, in, out);
   }
 }
 

backends/cadence/fusion_g3/operators/op_sqrt.cpp

@@ -56,8 +56,8 @@ Tensor& sqrt_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   } else {
     static constexpr const char op_name[] = "sqrt.out";
     return torch::executor::native::internal::
-      unary_ufunc_realhbbf16_to_floathbf16<op_name>(
-          [](auto x) { return executorch::math::sqrt(x); }, ctx, in, out);
+        unary_ufunc_realhbbf16_to_floathbf16<op_name>(
+            [](auto x) { return executorch::math::sqrt(x); }, ctx, in, out);
   }
 }
 

backends/cadence/fusion_g3/operators/op_tanh.cpp

@@ -56,8 +56,8 @@ Tensor& tanh_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
   } else {
     static constexpr const char op_name[] = "tanh.out";
     return torch::executor::native::internal::
-      unary_ufunc_realhbbf16_to_floathbf16<op_name>(
-          [](auto x) { return executorch::math::tanh(x); }, ctx, in, out);
+        unary_ufunc_realhbbf16_to_floathbf16<op_name>(
+            [](auto x) { return executorch::math::tanh(x); }, ctx, in, out);
   }
 }
 

backends/cadence/hifi/operators/op_rsqrt.cpp

@@ -40,8 +40,8 @@ Tensor& rsqrt_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
 
   static constexpr const char op_name[] = "rsqrt.out";
   return torch::executor::native::internal::
-    unary_ufunc_realhbbf16_to_floathbf16<op_name>(
-        [](auto x) { return executorch::math::rsqrt(x); }, ctx, in, out);
+      unary_ufunc_realhbbf16_to_floathbf16<op_name>(
+          [](auto x) { return executorch::math::rsqrt(x); }, ctx, in, out);
 }
 
 } // namespace native

backends/cadence/hifi/operators/op_tanh.cpp

@@ -36,8 +36,8 @@ Tensor& tanh_out(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
 
   static constexpr const char op_name[] = "tanh.out";
   return torch::executor::native::internal::
-    unary_ufunc_realhbbf16_to_floathbf16<op_name>(
-        [](auto x) { return executorch::math::tanh(x); }, ctx, in, out);
+      unary_ufunc_realhbbf16_to_floathbf16<op_name>(
+          [](auto x) { return executorch::math::tanh(x); }, ctx, in, out);
 }
 
 } // namespace native