Update on "[ET][Portable][Build Size] Introduce comparison op pattern. Binary ops: eq, ge, gt, le, lt, ne"

- ge:  1.1 M -> 15 K   (40x reduction!)
- gt:   1.1 M -> 15 K
- lt:     1.1 M -> 15 K
- lt:     1.1 M -> 15 K
- ne:   511 K -> 15 K
- eq:  504 K -> 15 K

Differential Revision: [D63914950](https://our.internmc.facebook.com/intern/diff/D63914950/)

[ghstack-poisoned]

Author: manuelcandales

kernels/portable/cpu/op_div.cpp

@@ -132,7 +132,7 @@ Tensor& div_out_mode(
           CTYPE_COMPUTE value = val_a / val_b;
           if (mode_is_trunc) {
             value = std::trunc(value);
-          } else  {
+          } else {
             // We established above that the mode is either trunc or floor, so
             // it must be floor.
             value = utils::floor_divide(val_a, val_b);
@@ -186,7 +186,7 @@ Tensor& div_scalar_out(
   ET_SWITCH_FLOAT_TYPES(compute_type, ctx, op_name, CTYPE_COMPUTE, [&]() {
     const CTYPE_COMPUTE val_b = utils::scalar_to<CTYPE_COMPUTE>(b);
     utils::apply_unitensor_elementwise_fn<CTYPE_COMPUTE, op_name>(
-        [val_b](const CTYPE_COMPUTE val_a) {return val_a / val_b;},
+        [val_b](const CTYPE_COMPUTE val_a) { return val_a / val_b; },
         ctx,
         a,
         utils::SupportedTensorDtypes::REALHBBF16,

kernels/portable/cpu/op_mul.cpp

@@ -45,7 +45,8 @@ Tensor& mul_out(
 
   ET_KERNEL_CHECK(
       ctx,
-      (executorch::runtime::isRealType(compute_type) || compute_type == ScalarType::Bool),
+      (executorch::runtime::isRealType(compute_type) ||
+       compute_type == ScalarType::Bool),
       InvalidArgument,
       out);
 
@@ -93,7 +94,7 @@ Tensor& mul_scalar_out(
   ET_SWITCH_REALB_TYPES(compute_type, ctx, op_name, CTYPE_COMPUTE, [&]() {
     const CTYPE_COMPUTE val_b = utils::scalar_to<CTYPE_COMPUTE>(b);
     utils::apply_unitensor_elementwise_fn<CTYPE_COMPUTE, op_name>(
-        [val_b](const CTYPE_COMPUTE val_a) {return val_a * val_b;},
+        [val_b](const CTYPE_COMPUTE val_a) { return val_a * val_b; },
         ctx,
         a,
         utils::SupportedTensorDtypes::REALHBBF16,

kernels/portable/cpu/op_pow.cpp

@@ -103,7 +103,7 @@ Tensor& pow_Tensor_Scalar_out(
   ET_SWITCH_FLOAT_TYPES(compute_type, ctx, op_name, CTYPE_COMPUTE, [&]() {
     const CTYPE_COMPUTE val_b = utils::scalar_to<CTYPE_COMPUTE>(b);
     utils::apply_unitensor_elementwise_fn<CTYPE_COMPUTE, op_name>(
-        [val_b](const CTYPE_COMPUTE val_a) {return std::pow(val_a, val_b);},
+        [val_b](const CTYPE_COMPUTE val_a) { return std::pow(val_a, val_b); },
         ctx,
         a,
         utils::SupportedTensorDtypes::REALHBBF16,
@@ -149,7 +149,7 @@ Tensor& pow_Scalar_out(
   ET_SWITCH_FLOAT_TYPES(compute_type, ctx, op_name, CTYPE_COMPUTE, [&]() {
     const CTYPE_COMPUTE val_a = utils::scalar_to<CTYPE_COMPUTE>(a);
     utils::apply_unitensor_elementwise_fn<CTYPE_COMPUTE, op_name>(
-        [val_a](const CTYPE_COMPUTE val_b) {return std::pow(val_a, val_b);},
+        [val_a](const CTYPE_COMPUTE val_b) { return std::pow(val_a, val_b); },
         ctx,
         b,
         utils::SupportedTensorDtypes::REALHBBF16,