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/* Analysis Utilities for Loop Vectorization.
Copyright (C) 2006, 2007, 2008 Free Software Foundation, Inc.
Contributed by Dorit Nuzman <dorit@il.ibm.com>

This file is part of GCC.

GCC is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free
Software Foundation; either version 3, or (at your option) any later
version.

GCC is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
for more details.

You should have received a copy of the GNU General Public License
along with GCC; see the file COPYING3. If not see
<http://www.gnu.org/licenses/>. */

#include "config.h"
#include "system.h"
#include "coretypes.h"
#include "tm.h"
#include "ggc.h"
#include "tree.h"

#include "target.h"
#include "basic-block.h"
#include "diagnostic.h"
#include "tree-flow.h"
#include "tree-dump.h"
#include "timevar.h"
#include "cfgloop.h"
#include "expr.h"
#include "optabs.h"
#include "params.h"
#include "tree-data-ref.h"
#include "tree-vectorizer.h"
#include "recog.h"
#include "toplev.h"

/* Function prototypes */
static void vect_pattern_recog_1
  (gimple (* ) (gimple, tree *, tree *), gimple_stmt_iterator);
static bool widened_name_p (tree, gimple, tree *, gimple *);

/* Pattern recognition functions */
static gimple vect_recog_widen_sum_pattern (gimple, tree *, tree *);
static gimple vect_recog_widen_mult_pattern (gimple, tree *, tree *);
static gimple vect_recog_dot_prod_pattern (gimple, tree *, tree *);
static gimple vect_recog_pow_pattern (gimple, tree *, tree *);
static vect_recog_func_ptr vect_vect_recog_func_ptrs[NUM_PATTERNS] = {
vect_recog_widen_mult_pattern,
vect_recog_widen_sum_pattern,
vect_recog_dot_prod_pattern,
vect_recog_pow_pattern};


/* Function widened_name_p

Check whether NAME, an ssa-name used in USE_STMT,
is a result of a type-promotion, such that:
DEF_STMT: NAME = NOP (name0)
where the type of name0 (HALF_TYPE) is smaller than the type of NAME.
*/

static bool
widened_name_p (tree name, gimple use_stmt, tree *half_type, gimple *def_stmt)
{
  tree dummy;
  gimple dummy_gimple;
  loop_vec_info loop_vinfo;
  stmt_vec_info stmt_vinfo;
  tree type = TREE_TYPE (name);
  tree oprnd0;
  enum vect_def_type dt;
  tree def;

  stmt_vinfo = vinfo_for_stmt (use_stmt);
  loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_vinfo);

  if (!vect_is_simple_use (name, loop_vinfo, def_stmt, &def, &dt))
    return false;

  if (dt != vect_loop_def
      && dt != vect_invariant_def && dt != vect_constant_def)
    return false;

  if (! *def_stmt)
    return false;

  if (!is_gimple_assign (*def_stmt))
    return false;

  if (gimple_assign_rhs_code (*def_stmt) != NOP_EXPR)
    return false;

  oprnd0 = gimple_assign_rhs1 (*def_stmt);

  *half_type = TREE_TYPE (oprnd0);
  if (!INTEGRAL_TYPE_P (type) || !INTEGRAL_TYPE_P (*half_type)
      || (TYPE_UNSIGNED (type) != TYPE_UNSIGNED (*half_type))
      || (TYPE_PRECISION (type) < (TYPE_PRECISION (*half_type) * 2)))
    return false;

  if (!vect_is_simple_use (oprnd0, loop_vinfo, &dummy_gimple, &dummy, &dt))
    return false;

  return true;
}

/* Helper to return a new temporary for pattern of TYPE for STMT. If STMT
is NULL, the caller must set SSA_NAME_DEF_STMT for the returned SSA var. */

static tree
vect_recog_temp_ssa_var (tree type, gimple stmt)
{
  tree var = create_tmp_var (type, "patt");

  add_referenced_var (var);
  var = make_ssa_name (var, stmt);
  return var;
}

/* Function vect_recog_dot_prod_pattern

Try to find the following pattern:

type x_t, y_t;
TYPE1 prod;
TYPE2 sum = init;
loop:
sum_0 = phi <init, sum_1>
S1 x_t = ...
S2 y_t = ...
S3 x_T = (TYPE1) x_t;
S4 y_T = (TYPE1) y_t;
S5 prod = x_T * y_T;
[S6 prod = (TYPE2) prod; #optional]
S7 sum_1 = prod + sum_0;

where 'TYPE1' is exactly double the size of type 'type', and 'TYPE2' is the
same size of 'TYPE1' or bigger. This is a special case of a reduction
computation.
Input:

* LAST_STMT: A stmt from which the pattern search begins. In the example,
when this function is called with S7, the pattern {S3,S4,S5,S6,S7} will be
detected.

Output:

* TYPE_IN: The type of the input arguments to the pattern.

* TYPE_OUT: The type of the output of this pattern.

* Return value: A new stmt that will be used to replace the sequence of
stmts that constitute the pattern. In this case it will be:
WIDEN_DOT_PRODUCT <x_t, y_t, sum_0>

Note: The dot-prod idiom is a widening reduction pattern that is
vectorized without preserving all the intermediate results. It
produces only N/2 (widened) results (by summing up pairs of
intermediate results) rather than all N results. Therefore, we
cannot allow this pattern when we want to get all the results and in
the correct order (as is the case when this computation is in an
inner-loop nested in an outer-loop that us being vectorized). */

static gimple
vect_recog_dot_prod_pattern (gimple last_stmt, tree *type_in, tree *type_out)
{
  gimple stmt;
  tree oprnd0, oprnd1;
  tree oprnd00, oprnd01;
  stmt_vec_info stmt_vinfo = vinfo_for_stmt (last_stmt);
  tree type, half_type;
  gimple pattern_stmt;
  tree prod_type;
  loop_vec_info loop_info = STMT_VINFO_LOOP_VINFO (stmt_vinfo);
  struct loop *loop = LOOP_VINFO_LOOP (loop_info);
  tree var, rhs;

  if (!is_gimple_assign (last_stmt))
    return NULL;

  type = gimple_expr_type (last_stmt);

  /* Look for the following pattern
DX = (TYPE1) X;
DY = (TYPE1) Y;
DPROD = DX * DY;
DDPROD = (TYPE2) DPROD;
sum_1 = DDPROD + sum_0;
In which
- DX is double the size of X
- DY is double the size of Y
- DX, DY, DPROD all have the same type
- sum is the same size of DPROD or bigger
- sum has been recognized as a reduction variable.

This is equivalent to:
DPROD = X w* Y; #widen mult
sum_1 = DPROD w+ sum_0; #widen summation
or
DPROD = X w* Y; #widen mult
sum_1 = DPROD + sum_0; #summation
*/

  /* Starting from LAST_STMT, follow the defs of its uses in search
of the above pattern. */

  if (gimple_assign_rhs_code (last_stmt) != PLUS_EXPR)
    return NULL;

  if (STMT_VINFO_IN_PATTERN_P (stmt_vinfo))
    {
      /* Has been detected as widening-summation? */

      stmt = STMT_VINFO_RELATED_STMT (stmt_vinfo);
      type = gimple_expr_type (stmt);
      if (gimple_assign_rhs_code (stmt) != WIDEN_SUM_EXPR)
        return NULL;
      oprnd0 = gimple_assign_rhs1 (stmt);
      oprnd1 = gimple_assign_rhs2 (stmt);
      half_type = TREE_TYPE (oprnd0);
    }
  else
    {
      gimple def_stmt;

      if (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_reduction_def)
        return NULL;
      oprnd0 = gimple_assign_rhs1 (last_stmt);
      oprnd1 = gimple_assign_rhs2 (last_stmt);
      if (TYPE_MAIN_VARIANT (TREE_TYPE (oprnd0)) != TYPE_MAIN_VARIANT (type)
          || TYPE_MAIN_VARIANT (TREE_TYPE (oprnd1)) != TYPE_MAIN_VARIANT (type))
        return NULL;
      stmt = last_stmt;

      if (widened_name_p (oprnd0, stmt, &half_type, &def_stmt))
        {
          stmt = def_stmt;
          oprnd0 = gimple_assign_rhs1 (stmt);
        }
      else
        half_type = type;
    }

  /* So far so good. Since last_stmt was detected as a (summation) reduction,
we know that oprnd1 is the reduction variable (defined by a loop-header
phi), and oprnd0 is an ssa-name defined by a stmt in the loop body.
Left to check that oprnd0 is defined by a (widen_)mult_expr */

  prod_type = half_type;
  stmt = SSA_NAME_DEF_STMT (oprnd0);
  /* FORNOW. Can continue analyzing the def-use chain when this stmt in a phi
inside the loop (in case we are analyzing an outer-loop). */
  if (!is_gimple_assign (stmt))
    return NULL;
  stmt_vinfo = vinfo_for_stmt (stmt);
  gcc_assert (stmt_vinfo);
  if (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_loop_def)
    return NULL;
  if (gimple_assign_rhs_code (stmt) != MULT_EXPR)
    return NULL;
  if (STMT_VINFO_IN_PATTERN_P (stmt_vinfo))
    {
      /* Has been detected as a widening multiplication? */

      stmt = STMT_VINFO_RELATED_STMT (stmt_vinfo);
      if (gimple_assign_rhs_code (stmt) != WIDEN_MULT_EXPR)
        return NULL;
      stmt_vinfo = vinfo_for_stmt (stmt);
      gcc_assert (stmt_vinfo);
      gcc_assert (STMT_VINFO_DEF_TYPE (stmt_vinfo) == vect_loop_def);
      oprnd00 = gimple_assign_rhs1 (stmt);
      oprnd01 = gimple_assign_rhs2 (stmt);
    }
  else
    {
      tree half_type0, half_type1;
      gimple def_stmt;
      tree oprnd0, oprnd1;

      oprnd0 = gimple_assign_rhs1 (stmt);
      oprnd1 = gimple_assign_rhs2 (stmt);
      if (TYPE_MAIN_VARIANT (TREE_TYPE (oprnd0))
!= TYPE_MAIN_VARIANT (prod_type)
          || TYPE_MAIN_VARIANT (TREE_TYPE (oprnd1))
!= TYPE_MAIN_VARIANT (prod_type))
        return NULL;
      if (!widened_name_p (oprnd0, stmt, &half_type0, &def_stmt))
        return NULL;
      oprnd00 = gimple_assign_rhs1 (def_stmt);
      if (!widened_name_p (oprnd1, stmt, &half_type1, &def_stmt))
        return NULL;
      oprnd01 = gimple_assign_rhs1 (def_stmt);
      if (TYPE_MAIN_VARIANT (half_type0) != TYPE_MAIN_VARIANT (half_type1))
        return NULL;
      if (TYPE_PRECISION (prod_type) != TYPE_PRECISION (half_type0) * 2)
return NULL;
    }

  half_type = TREE_TYPE (oprnd00);
  *type_in = half_type;
  *type_out = type;
  
  /* Pattern detected. Create a stmt to be used to replace the pattern: */
  var = vect_recog_temp_ssa_var (type, NULL);
  rhs = build3 (DOT_PROD_EXPR, type, oprnd00, oprnd01, oprnd1),
  pattern_stmt = gimple_build_assign (var, rhs);

  if (vect_print_dump_info (REPORT_DETAILS))
    {
      fprintf (vect_dump, "vect_recog_dot_prod_pattern: detected: ");
      print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM);
    }

  /* We don't allow changing the order of the computation in the inner-loop
when doing outer-loop vectorization. */
  if (nested_in_vect_loop_p (loop, last_stmt))
    {
      if (vect_print_dump_info (REPORT_DETAILS))
        fprintf (vect_dump, "vect_recog_dot_prod_pattern: not allowed.");
      return NULL;
    }

  return pattern_stmt;
}
 
/* Function vect_recog_widen_mult_pattern

Try to find the following pattern:

type a_t, b_t;
TYPE a_T, b_T, prod_T;

S1 a_t = ;
S2 b_t = ;
S3 a_T = (TYPE) a_t;
S4 b_T = (TYPE) b_t;
S5 prod_T = a_T * b_T;

where type 'TYPE' is at least double the size of type 'type'.

Input:

* LAST_STMT: A stmt from which the pattern search begins. In the example,
when this function is called with S5, the pattern {S3,S4,S5} is be detected.

Output:

* TYPE_IN: The type of the input arguments to the pattern.

* TYPE_OUT: The type of the output of this pattern.

* Return value: A new stmt that will be used to replace the sequence of
stmts that constitute the pattern. In this case it will be:
WIDEN_MULT <a_t, b_t>
*/

static gimple
vect_recog_widen_mult_pattern (gimple last_stmt,
tree *type_in,
tree *type_out)
{
  gimple def_stmt0, def_stmt1;
  tree oprnd0, oprnd1;
  tree type, half_type0, half_type1;
  gimple pattern_stmt;
  tree vectype;
  tree dummy;
  tree var;
  enum tree_code dummy_code;
  int dummy_int;
  VEC (tree, heap) *dummy_vec;

  if (!is_gimple_assign (last_stmt))
    return NULL;

  type = gimple_expr_type (last_stmt);

  /* Starting from LAST_STMT, follow the defs of its uses in search
of the above pattern. */

  if (gimple_assign_rhs_code (last_stmt) != MULT_EXPR)
    return NULL;

  oprnd0 = gimple_assign_rhs1 (last_stmt);
  oprnd1 = gimple_assign_rhs2 (last_stmt);
  if (TYPE_MAIN_VARIANT (TREE_TYPE (oprnd0)) != TYPE_MAIN_VARIANT (type)
      || TYPE_MAIN_VARIANT (TREE_TYPE (oprnd1)) != TYPE_MAIN_VARIANT (type))
    return NULL;

  /* Check argument 0 */
  if (!widened_name_p (oprnd0, last_stmt, &half_type0, &def_stmt0))
    return NULL;
  oprnd0 = gimple_assign_rhs1 (def_stmt0);

  /* Check argument 1 */
  if (!widened_name_p (oprnd1, last_stmt, &half_type1, &def_stmt1))
    return NULL;
  oprnd1 = gimple_assign_rhs1 (def_stmt1);

  if (TYPE_MAIN_VARIANT (half_type0) != TYPE_MAIN_VARIANT (half_type1))
    return NULL;

  /* Pattern detected. */
  if (vect_print_dump_info (REPORT_DETAILS))
    fprintf (vect_dump, "vect_recog_widen_mult_pattern: detected: ");

  /* Check target support */
  vectype = get_vectype_for_scalar_type (half_type0);
  if (!vectype
      || !supportable_widening_operation (WIDEN_MULT_EXPR, last_stmt, vectype,
&dummy, &dummy, &dummy_code,
&dummy_code, &dummy_int, &dummy_vec))
    return NULL;

  *type_in = vectype;
  *type_out = NULL_TREE;

  /* Pattern supported. Create a stmt to be used to replace the pattern: */
  var = vect_recog_temp_ssa_var (type, NULL);
  pattern_stmt = gimple_build_assign_with_ops (WIDEN_MULT_EXPR, var, oprnd0,
oprnd1);
  SSA_NAME_DEF_STMT (var) = pattern_stmt;

  if (vect_print_dump_info (REPORT_DETAILS))
    print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM);

  return pattern_stmt;
}


/* Function vect_recog_pow_pattern

Try to find the following pattern:

x = POW (y, N);

with POW being one of pow, powf, powi, powif and N being
either 2 or 0.5.

Input:

* LAST_STMT: A stmt from which the pattern search begins.

Output:

* TYPE_IN: The type of the input arguments to the pattern.

* TYPE_OUT: The type of the output of this pattern.

* Return value: A new stmt that will be used to replace the sequence of
stmts that constitute the pattern. In this case it will be:
x = x * x
or
x = sqrt (x)
*/

static gimple
vect_recog_pow_pattern (gimple last_stmt, tree *type_in, tree *type_out)
{
  tree type;
  tree fn, base, exp = NULL;
  gimple stmt;
  tree var;

  if (!is_gimple_call (last_stmt) || gimple_call_lhs (last_stmt) == NULL)
    return NULL;

  type = gimple_expr_type (last_stmt);

  fn = gimple_call_fndecl (last_stmt);
  switch (DECL_FUNCTION_CODE (fn))
    {
    case BUILT_IN_POWIF:
    case BUILT_IN_POWI:
    case BUILT_IN_POWF:
    case BUILT_IN_POW:
      base = gimple_call_arg (last_stmt, 0);
      exp = gimple_call_arg (last_stmt, 1);
      if (TREE_CODE (exp) != REAL_CST
&& TREE_CODE (exp) != INTEGER_CST)
        return NULL;
      break;

    default:
      return NULL;
    }

  /* We now have a pow or powi builtin function call with a constant
exponent. */

  *type_out = NULL_TREE;

  /* Catch squaring. */
  if ((host_integerp (exp, 0)
       && tree_low_cst (exp, 0) == 2)
      || (TREE_CODE (exp) == REAL_CST
          && REAL_VALUES_EQUAL (TREE_REAL_CST (exp), dconst2)))
    {
      *type_in = TREE_TYPE (base);

      var = vect_recog_temp_ssa_var (TREE_TYPE (base), NULL);
      stmt = gimple_build_assign_with_ops (MULT_EXPR, var, base, base);
      SSA_NAME_DEF_STMT (var) = stmt;
      return stmt;
    }

  /* Catch square root. */
  if (TREE_CODE (exp) == REAL_CST
      && REAL_VALUES_EQUAL (TREE_REAL_CST (exp), dconsthalf))
    {
      tree newfn = mathfn_built_in (TREE_TYPE (base), BUILT_IN_SQRT);
      *type_in = get_vectype_for_scalar_type (TREE_TYPE (base));
      if (*type_in)
{
gimple stmt = gimple_build_call (newfn, 1, base);
if (vectorizable_function (stmt, *type_in, *type_in)
!= NULL_TREE)
{
var = vect_recog_temp_ssa_var (TREE_TYPE (base), stmt);
gimple_call_set_lhs (stmt, var);
return stmt;
}
}
    }

  return NULL;
}


/* Function vect_recog_widen_sum_pattern

Try to find the following pattern:

type x_t;
TYPE x_T, sum = init;
loop:
sum_0 = phi <init, sum_1>
S1 x_t = *p;
S2 x_T = (TYPE) x_t;
S3 sum_1 = x_T + sum_0;

where type 'TYPE' is at least double the size of type 'type', i.e - we're
summing elements of type 'type' into an accumulator of type 'TYPE'. This is
a special case of a reduction computation.

Input:

* LAST_STMT: A stmt from which the pattern search begins. In the example,
when this function is called with S3, the pattern {S2,S3} will be detected.
Output:
* TYPE_IN: The type of the input arguments to the pattern.

* TYPE_OUT: The type of the output of this pattern.

* Return value: A new stmt that will be used to replace the sequence of
stmts that constitute the pattern. In this case it will be:
WIDEN_SUM <x_t, sum_0>

Note: The widening-sum idiom is a widening reduction pattern that is
vectorized without preserving all the intermediate results. It
produces only N/2 (widened) results (by summing up pairs of
intermediate results) rather than all N results. Therefore, we
cannot allow this pattern when we want to get all the results and in
the correct order (as is the case when this computation is in an
inner-loop nested in an outer-loop that us being vectorized). */

static gimple
vect_recog_widen_sum_pattern (gimple last_stmt, tree *type_in, tree *type_out)
{
  gimple stmt;
  tree oprnd0, oprnd1;
  stmt_vec_info stmt_vinfo = vinfo_for_stmt (last_stmt);
  tree type, half_type;
  gimple pattern_stmt;
  loop_vec_info loop_info = STMT_VINFO_LOOP_VINFO (stmt_vinfo);
  struct loop *loop = LOOP_VINFO_LOOP (loop_info);
  tree var;

  if (!is_gimple_assign (last_stmt))
    return NULL;

  type = gimple_expr_type (last_stmt);

  /* Look for the following pattern
DX = (TYPE) X;
sum_1 = DX + sum_0;
In which DX is at least double the size of X, and sum_1 has been
recognized as a reduction variable.
*/

  /* Starting from LAST_STMT, follow the defs of its uses in search
of the above pattern. */

  if (gimple_assign_rhs_code (last_stmt) != PLUS_EXPR)
    return NULL;

  if (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_reduction_def)
    return NULL;

  oprnd0 = gimple_assign_rhs1 (last_stmt);
  oprnd1 = gimple_assign_rhs2 (last_stmt);
  if (TYPE_MAIN_VARIANT (TREE_TYPE (oprnd0)) != TYPE_MAIN_VARIANT (type)
      || TYPE_MAIN_VARIANT (TREE_TYPE (oprnd1)) != TYPE_MAIN_VARIANT (type))
    return NULL;

  /* So far so good. Since last_stmt was detected as a (summation) reduction,
we know that oprnd1 is the reduction variable (defined by a loop-header
phi), and oprnd0 is an ssa-name defined by a stmt in the loop body.
Left to check that oprnd0 is defined by a cast from type 'type' to type
'TYPE'. */

  if (!widened_name_p (oprnd0, last_stmt, &half_type, &stmt))
    return NULL;

  oprnd0 = gimple_assign_rhs1 (stmt);
  *type_in = half_type;
  *type_out = type;

  /* Pattern detected. Create a stmt to be used to replace the pattern: */
  var = vect_recog_temp_ssa_var (type, NULL);
  pattern_stmt = gimple_build_assign_with_ops (WIDEN_SUM_EXPR, var,
oprnd0, oprnd1);
  SSA_NAME_DEF_STMT (var) = pattern_stmt;

  if (vect_print_dump_info (REPORT_DETAILS))
    {
      fprintf (vect_dump, "vect_recog_widen_sum_pattern: detected: ");
      print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM);
    }

  /* We don't allow changing the order of the computation in the inner-loop
when doing outer-loop vectorization. */
  if (nested_in_vect_loop_p (loop, last_stmt))
    {
      if (vect_print_dump_info (REPORT_DETAILS))
        fprintf (vect_dump, "vect_recog_widen_sum_pattern: not allowed.");
      return NULL;
    }

  return pattern_stmt;
}


/* Function vect_pattern_recog_1

Input:
PATTERN_RECOG_FUNC: A pointer to a function that detects a certain
computation pattern.
STMT: A stmt from which the pattern search should start.

If PATTERN_RECOG_FUNC successfully detected the pattern, it creates an
expression that computes the same functionality and can be used to
replace the sequence of stmts that are involved in the pattern.

Output:
This function checks if the expression returned by PATTERN_RECOG_FUNC is
supported in vector form by the target. We use 'TYPE_IN' to obtain the
relevant vector type. If 'TYPE_IN' is already a vector type, then this
indicates that target support had already been checked by PATTERN_RECOG_FUNC.
If 'TYPE_OUT' is also returned by PATTERN_RECOG_FUNC, we check that it fits
to the available target pattern.

This function also does some bookkeeping, as explained in the documentation
for vect_recog_pattern. */

static void
vect_pattern_recog_1 (
gimple (* vect_recog_func) (gimple, tree *, tree *),
gimple_stmt_iterator si)
{
  gimple stmt = gsi_stmt (si), pattern_stmt;
  stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
  stmt_vec_info pattern_stmt_info;
  loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
  tree pattern_vectype;
  tree type_in, type_out;
  enum tree_code code;

  pattern_stmt = (* vect_recog_func) (stmt, &type_in, &type_out);
  if (!pattern_stmt)
    return;
 
  if (VECTOR_MODE_P (TYPE_MODE (type_in)))
    {
      /* No need to check target support (already checked by the pattern
recognition function). */
      pattern_vectype = type_in;
    }
  else
    {
      enum tree_code vec_mode;
      enum insn_code icode;
      optab optab;

      /* Check target support */
      pattern_vectype = get_vectype_for_scalar_type (type_in);
      if (!pattern_vectype)
        return;

      if (is_gimple_assign (pattern_stmt))
code = gimple_assign_rhs_code (pattern_stmt);
      else
        {
gcc_assert (is_gimple_call (pattern_stmt));
code = CALL_EXPR;
}

      optab = optab_for_tree_code (code, pattern_vectype, optab_default);
      vec_mode = TYPE_MODE (pattern_vectype);
      if (!optab
          || (icode = optab_handler (optab, vec_mode)->insn_code) ==
              CODE_FOR_nothing
          || (type_out
              && (!get_vectype_for_scalar_type (type_out)
                  || (insn_data[icode].operand[0].mode !=
                      TYPE_MODE (get_vectype_for_scalar_type (type_out))))))
return;
    }

  /* Found a vectorizable pattern. */
  if (vect_print_dump_info (REPORT_DETAILS))
    {
      fprintf (vect_dump, "pattern recognized: ");
      print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM);
    }
  
  /* Mark the stmts that are involved in the pattern. */
  gsi_insert_before (&si, pattern_stmt, GSI_SAME_STMT);
  set_vinfo_for_stmt (pattern_stmt,
new_stmt_vec_info (pattern_stmt, loop_vinfo));
  pattern_stmt_info = vinfo_for_stmt (pattern_stmt);
  
  STMT_VINFO_RELATED_STMT (pattern_stmt_info) = stmt;
  STMT_VINFO_DEF_TYPE (pattern_stmt_info) = STMT_VINFO_DEF_TYPE (stmt_info);
  STMT_VINFO_VECTYPE (pattern_stmt_info) = pattern_vectype;
  STMT_VINFO_IN_PATTERN_P (stmt_info) = true;
  STMT_VINFO_RELATED_STMT (stmt_info) = pattern_stmt;

  return;
}


/* Function vect_pattern_recog

Input:
LOOP_VINFO - a struct_loop_info of a loop in which we want to look for
computation idioms.

Output - for each computation idiom that is detected we insert a new stmt
that provides the same functionality and that can be vectorized. We
also record some information in the struct_stmt_info of the relevant
stmts, as explained below:

At the entry to this function we have the following stmts, with the
following initial value in the STMT_VINFO fields:

stmt in_pattern_p related_stmt vec_stmt
S1: a_i = .... - - -
S2: a_2 = ..use(a_i).. - - -
S3: a_1 = ..use(a_2).. - - -
S4: a_0 = ..use(a_1).. - - -
S5: ... = ..use(a_0).. - - -

Say the sequence {S1,S2,S3,S4} was detected as a pattern that can be
represented by a single stmt. We then:
- create a new stmt S6 that will replace the pattern.
- insert the new stmt S6 before the last stmt in the pattern
- fill in the STMT_VINFO fields as follows:

in_pattern_p related_stmt vec_stmt
S1: a_i = .... - - -
S2: a_2 = ..use(a_i).. - - -
S3: a_1 = ..use(a_2).. - - -
> S6: a_new = .... - S4 -
S4: a_0 = ..use(a_1).. true S6 -
S5: ... = ..use(a_0).. - - -

(the last stmt in the pattern (S4) and the new pattern stmt (S6) point
to each other through the RELATED_STMT field).

S6 will be marked as relevant in vect_mark_stmts_to_be_vectorized instead
of S4 because it will replace all its uses. Stmts {S1,S2,S3} will
remain irrelevant unless used by stmts other than S4.

If vectorization succeeds, vect_transform_stmt will skip over {S1,S2,S3}
(because they are marked as irrelevant). It will vectorize S6, and record
a pointer to the new vector stmt VS6 both from S6 (as usual), and also
from S4. We do that so that when we get to vectorizing stmts that use the
def of S4 (like S5 that uses a_0), we'll know where to take the relevant
vector-def from. S4 will be skipped, and S5 will be vectorized as usual:

in_pattern_p related_stmt vec_stmt
S1: a_i = .... - - -
S2: a_2 = ..use(a_i).. - - -
S3: a_1 = ..use(a_2).. - - -
> VS6: va_new = .... - - -
S6: a_new = .... - S4 VS6
S4: a_0 = ..use(a_1).. true S6 VS6
> VS5: ... = ..vuse(va_new).. - - -
S5: ... = ..use(a_0).. - - -

DCE could then get rid of {S1,S2,S3,S4,S5,S6} (if their defs are not used
elsewhere), and we'll end up with:

VS6: va_new = ....
VS5: ... = ..vuse(va_new)..

If vectorization does not succeed, DCE will clean S6 away (its def is
not used), and we'll end up with the original sequence.
*/

void
vect_pattern_recog (loop_vec_info loop_vinfo)
{
  struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
  basic_block *bbs = LOOP_VINFO_BBS (loop_vinfo);
  unsigned int nbbs = loop->num_nodes;
  gimple_stmt_iterator si;
  gimple stmt;
  unsigned int i, j;
  gimple (* vect_recog_func_ptr) (gimple, tree *, tree *);

  if (vect_print_dump_info (REPORT_DETAILS))
    fprintf (vect_dump, "=== vect_pattern_recog ===");

  /* Scan through the loop stmts, applying the pattern recognition
functions starting at each stmt visited: */
  for (i = 0; i < nbbs; i++)
    {
      basic_block bb = bbs[i];
      for (si = gsi_start_bb (bb); !gsi_end_p (si); gsi_next (&si))
        {
          stmt = gsi_stmt (si);

          /* Scan over all generic vect_recog_xxx_pattern functions. */
          for (j = 0; j < NUM_PATTERNS; j++)
            {
              vect_recog_func_ptr = vect_vect_recog_func_ptrs[j];
              vect_pattern_recog_1 (vect_recog_func_ptr, si);
            }
        }
    }
}
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