[Docs] remove unused arguments in documentation examples on vectorization passes

[ivafanas]

Summary

Unused function arguments in documentation examples seems like a copy-paste issues.

[ivafanas]

Hi!

Could you please help to commit this changeset?
I'm not authorized to commit to llvm repo.

[ivafanas]

Hi!

Could please anybody commit this changeset?
I'm not allowed to commit to llvm repo.

[fhahn]

In D83851#2174783, @ivafanas wrote:

Hi!

Could please anybody commit this changeset?
I'm not allowed to commit to llvm repo.

Hi,

thanks for the patch! I'll commit it in a moment!

Cheers

[ivafanas]

Thank you!

llvm/docs/Vectorizers.rst

 the loop. Normally, this would prevent vectorization, but the vectorizer can
 detect that 'sum' is a reduction variable. The variable 'sum' becomes a vector
 of integers, and at the end of the loop the elements of the array are added
 together to create the correct result. We support a number of different
 reduction operations, such as addition, multiplication, XOR, AND and OR.
 
 .. code-block:: c++
 
-  int foo(int *A, int *B, int n) {
+  int foo(int *A, int n) {
     unsigned sum = 0;
     for (int i = 0; i < n; ++i)
       sum += A[i] + 5;
     return sum;
   }
 
 We support floating point reduction operations when `-ffast-math` is used.
 
 Inductions
 ^^^^^^^^^^
 
 In this example the value of the induction variable ``i`` is saved into an
 array. The Loop Vectorizer knows to vectorize induction variables.
 
 .. code-block:: c++
 
-  void bar(float *A, float* B, float K, int n) {
+  void bar(float *A, int n) {
     for (int i = 0; i < n; ++i)
       A[i] = i;
   }
 
 If Conversion
 ^^^^^^^^^^^^^
 
 The Loop Vectorizer is able to "flatten" the IF statement in the code and

 
 Reverse Iterators
 ^^^^^^^^^^^^^^^^^
 
 The Loop Vectorizer can vectorize loops that count backwards.
 
 .. code-block:: c++
 
-  int foo(int *A, int *B, int n) {
+  int foo(int *A, int n) {
     for (int i = n; i > 0; --i)
       A[i] +=1;
   }
 
 Scatter / Gather
 ^^^^^^^^^^^^^^^^
 
 The Loop Vectorizer can vectorize code that becomes a sequence of scalar instructions 

 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The Loop Vectorizer can vectorize programs with mixed types. The Vectorizer
 cost model can estimate the cost of the type conversion and decide if
 vectorization is profitable.
 
 .. code-block:: c++
 
-  int foo(int *A, char *B, int n, int k) {
+  int foo(int *A, char *B, int n) {
     for (int i = 0; i < n; ++i)
       A[i] += 4 * B[i];
   }
 
 Global Structures Alias Analysis
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Access to global structures can also be vectorized, with alias analysis being

 
 In the example below the entire array is accumulated into the variable 'sum'.
 This is inefficient because only a single execution port can be used by the processor.
 By unrolling the code the Loop Vectorizer allows two or more execution ports
 to be used simultaneously.
 
 .. code-block:: c++
 
-  int foo(int *A, int *B, int n) {
+  int foo(int *A, int n) {
     unsigned sum = 0;
     for (int i = 0; i < n; ++i)
         sum += A[i];
     return sum;
   }
 
 The Loop Vectorizer uses a cost model to decide when it is profitable to unroll loops.
 The decision to unroll the loop depends on the register pressure and the generated code size.