gcc/gcc/tree-vectorizer.c
Tamar Christina 5296bd57d0 slp: fix sharing of SLP only patterns.
The attached testcase ICEs due to a couple of issues.
In the testcase you have two SLP instances that share the majority of their
definition with each other.  One tree defines a COMPLEX_MUL sequence and the
other tree a COMPLEX_FMA.

The ice happens because:

1. the refcounts are wrong, in particular the FMA case doesn't correctly count
the references for the COMPLEX_MUL that it consumes.

2. when the FMA is created it incorrectly assumes it can just tear apart the MUL
node that it's consuming.  This is wrong and should only be done when there is
no more uses of the node, in which case the vector only pattern is no longer
relevant.

To fix the last part the SLP only pattern reset code was moved into
vect_free_slp_tree which results in cleaner code.  I also think it does belong
there since that function knows when there are no more uses of the node and so
the pattern should be unmarked, so when the the vectorizer is inspecting the BB
it doesn't find the now invalid vector only patterns.

The patch also clears the SLP_TREE_REPRESENTATIVE when stores are removed such
that we don't hit an error later trying to free the stmt_vec_info again.

Lastly it also tweaks the results of whether a pattern has been detected or not
to return true when another SLP instance has created a pattern that is only used
by a different instance (due to the trees being unshared).

Instead of ICEing this code now produces

        adrp    x1, .LANCHOR0
        add     x2, x1, :lo12:.LANCHOR0
        movi    v1.2s, 0
        mov     w0, 0
        ldr     x4, [x1, #:lo12:.LANCHOR0]
        ldrsw   x3, [x2, 16]
        ldr     x1, [x2, 8]
        ldrsw   x2, [x2, 20]
        ldr     d0, [x4]
        ldr     d2, [x1, x3, lsl 3]
        fcmla   v2.2s, v0.2s, v0.2s, #0
        fcmla   v2.2s, v0.2s, v0.2s, #90
        str     d2, [x1, x3, lsl 3]
        fcmla   v1.2s, v0.2s, v0.2s, #0
        fcmla   v1.2s, v0.2s, v0.2s, #90
        str     d1, [x1, x2, lsl 3]
        ret

PS. This testcase actually shows that the codegen we get in these cases is not
optimal. It should generate a MUL + ADD instead MUL + FMA.

But that's for GCC 12.

gcc/ChangeLog:

	PR tree-optimization/99149
	* tree-vect-slp-patterns.c (vect_detect_pair_op): Don't recreate the
	buffer.
	(vect_slp_reset_pattern): Remove.
	(complex_fma_pattern::matches): Remove call to vect_slp_reset_pattern.
	(complex_mul_pattern::build, complex_fma_pattern::build,
	complex_fms_pattern::build): Fix ref counts.
	* tree-vect-slp.c (vect_free_slp_tree): Undo SLP only pattern relevancy
	when node is being deleted.
	(vect_match_slp_patterns_2): Correct result of cache hit on patterns.
	(vect_schedule_slp): Invalidate SLP_TREE_REPRESENTATIVE of removed
	stores.
	* tree-vectorizer.c (vec_info::new_stmt_vec_info): Initialize value.

gcc/testsuite/ChangeLog:

	PR tree-optimization/99149
	* g++.dg/vect/pr99149.cc: New test.
2021-02-24 09:43:22 +00:00

1692 lines
46 KiB
C
Raw Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

/* Vectorizer
Copyright (C) 2003-2021 Free Software Foundation, Inc.
Contributed by Dorit Naishlos <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/>. */
/* Loop and basic block vectorizer.
This file contains drivers for the three vectorizers:
(1) loop vectorizer (inter-iteration parallelism),
(2) loop-aware SLP (intra-iteration parallelism) (invoked by the loop
vectorizer)
(3) BB vectorizer (out-of-loops), aka SLP
The rest of the vectorizer's code is organized as follows:
- tree-vect-loop.c - loop specific parts such as reductions, etc. These are
used by drivers (1) and (2).
- tree-vect-loop-manip.c - vectorizer's loop control-flow utilities, used by
drivers (1) and (2).
- tree-vect-slp.c - BB vectorization specific analysis and transformation,
used by drivers (2) and (3).
- tree-vect-stmts.c - statements analysis and transformation (used by all).
- tree-vect-data-refs.c - vectorizer specific data-refs analysis and
manipulations (used by all).
- tree-vect-patterns.c - vectorizable code patterns detector (used by all)
Here's a poor attempt at illustrating that:
tree-vectorizer.c:
loop_vect() loop_aware_slp() slp_vect()
| / \ /
| / \ /
tree-vect-loop.c tree-vect-slp.c
| \ \ / / |
| \ \/ / |
| \ /\ / |
| \ / \ / |
tree-vect-stmts.c tree-vect-data-refs.c
\ /
tree-vect-patterns.c
*/
#include "config.h"
#include "system.h"
#include "coretypes.h"
#include "backend.h"
#include "tree.h"
#include "gimple.h"
#include "predict.h"
#include "tree-pass.h"
#include "ssa.h"
#include "cgraph.h"
#include "fold-const.h"
#include "stor-layout.h"
#include "gimple-iterator.h"
#include "gimple-walk.h"
#include "tree-ssa-loop-manip.h"
#include "tree-ssa-loop-niter.h"
#include "tree-cfg.h"
#include "cfgloop.h"
#include "tree-vectorizer.h"
#include "tree-ssa-propagate.h"
#include "dbgcnt.h"
#include "tree-scalar-evolution.h"
#include "stringpool.h"
#include "attribs.h"
#include "gimple-pretty-print.h"
#include "opt-problem.h"
#include "internal-fn.h"
/* Loop or bb location, with hotness information. */
dump_user_location_t vect_location;
/* auto_purge_vect_location's dtor: reset the vect_location
global, to avoid stale location_t values that could reference
GC-ed blocks. */
auto_purge_vect_location::~auto_purge_vect_location ()
{
vect_location = dump_user_location_t ();
}
/* Dump a cost entry according to args to F. */
void
dump_stmt_cost (FILE *f, void *data, int count, enum vect_cost_for_stmt kind,
stmt_vec_info stmt_info, tree, int misalign, unsigned cost,
enum vect_cost_model_location where)
{
fprintf (f, "%p ", data);
if (stmt_info)
{
print_gimple_expr (f, STMT_VINFO_STMT (stmt_info), 0, TDF_SLIM);
fprintf (f, " ");
}
else
fprintf (f, "<unknown> ");
fprintf (f, "%d times ", count);
const char *ks = "unknown";
switch (kind)
{
case scalar_stmt:
ks = "scalar_stmt";
break;
case scalar_load:
ks = "scalar_load";
break;
case scalar_store:
ks = "scalar_store";
break;
case vector_stmt:
ks = "vector_stmt";
break;
case vector_load:
ks = "vector_load";
break;
case vector_gather_load:
ks = "vector_gather_load";
break;
case unaligned_load:
ks = "unaligned_load";
break;
case unaligned_store:
ks = "unaligned_store";
break;
case vector_store:
ks = "vector_store";
break;
case vector_scatter_store:
ks = "vector_scatter_store";
break;
case vec_to_scalar:
ks = "vec_to_scalar";
break;
case scalar_to_vec:
ks = "scalar_to_vec";
break;
case cond_branch_not_taken:
ks = "cond_branch_not_taken";
break;
case cond_branch_taken:
ks = "cond_branch_taken";
break;
case vec_perm:
ks = "vec_perm";
break;
case vec_promote_demote:
ks = "vec_promote_demote";
break;
case vec_construct:
ks = "vec_construct";
break;
}
fprintf (f, "%s ", ks);
if (kind == unaligned_load || kind == unaligned_store)
fprintf (f, "(misalign %d) ", misalign);
fprintf (f, "costs %u ", cost);
const char *ws = "unknown";
switch (where)
{
case vect_prologue:
ws = "prologue";
break;
case vect_body:
ws = "body";
break;
case vect_epilogue:
ws = "epilogue";
break;
}
fprintf (f, "in %s\n", ws);
}
/* For mapping simduid to vectorization factor. */
class simduid_to_vf : public free_ptr_hash<simduid_to_vf>
{
public:
unsigned int simduid;
poly_uint64 vf;
/* hash_table support. */
static inline hashval_t hash (const simduid_to_vf *);
static inline int equal (const simduid_to_vf *, const simduid_to_vf *);
};
inline hashval_t
simduid_to_vf::hash (const simduid_to_vf *p)
{
return p->simduid;
}
inline int
simduid_to_vf::equal (const simduid_to_vf *p1, const simduid_to_vf *p2)
{
return p1->simduid == p2->simduid;
}
/* This hash maps the OMP simd array to the corresponding simduid used
to index into it. Like thus,
_7 = GOMP_SIMD_LANE (simduid.0)
...
...
D.1737[_7] = stuff;
This hash maps from the OMP simd array (D.1737[]) to DECL_UID of
simduid.0. */
struct simd_array_to_simduid : free_ptr_hash<simd_array_to_simduid>
{
tree decl;
unsigned int simduid;
/* hash_table support. */
static inline hashval_t hash (const simd_array_to_simduid *);
static inline int equal (const simd_array_to_simduid *,
const simd_array_to_simduid *);
};
inline hashval_t
simd_array_to_simduid::hash (const simd_array_to_simduid *p)
{
return DECL_UID (p->decl);
}
inline int
simd_array_to_simduid::equal (const simd_array_to_simduid *p1,
const simd_array_to_simduid *p2)
{
return p1->decl == p2->decl;
}
/* Fold IFN_GOMP_SIMD_LANE, IFN_GOMP_SIMD_VF, IFN_GOMP_SIMD_LAST_LANE,
into their corresponding constants and remove
IFN_GOMP_SIMD_ORDERED_{START,END}. */
static void
adjust_simduid_builtins (hash_table<simduid_to_vf> *htab)
{
basic_block bb;
FOR_EACH_BB_FN (bb, cfun)
{
gimple_stmt_iterator i;
for (i = gsi_start_bb (bb); !gsi_end_p (i); )
{
poly_uint64 vf = 1;
enum internal_fn ifn;
gimple *stmt = gsi_stmt (i);
tree t;
if (!is_gimple_call (stmt)
|| !gimple_call_internal_p (stmt))
{
gsi_next (&i);
continue;
}
ifn = gimple_call_internal_fn (stmt);
switch (ifn)
{
case IFN_GOMP_SIMD_LANE:
case IFN_GOMP_SIMD_VF:
case IFN_GOMP_SIMD_LAST_LANE:
break;
case IFN_GOMP_SIMD_ORDERED_START:
case IFN_GOMP_SIMD_ORDERED_END:
if (integer_onep (gimple_call_arg (stmt, 0)))
{
enum built_in_function bcode
= (ifn == IFN_GOMP_SIMD_ORDERED_START
? BUILT_IN_GOMP_ORDERED_START
: BUILT_IN_GOMP_ORDERED_END);
gimple *g
= gimple_build_call (builtin_decl_explicit (bcode), 0);
gimple_move_vops (g, stmt);
gsi_replace (&i, g, true);
continue;
}
gsi_remove (&i, true);
unlink_stmt_vdef (stmt);
continue;
default:
gsi_next (&i);
continue;
}
tree arg = gimple_call_arg (stmt, 0);
gcc_assert (arg != NULL_TREE);
gcc_assert (TREE_CODE (arg) == SSA_NAME);
simduid_to_vf *p = NULL, data;
data.simduid = DECL_UID (SSA_NAME_VAR (arg));
/* Need to nullify loop safelen field since it's value is not
valid after transformation. */
if (bb->loop_father && bb->loop_father->safelen > 0)
bb->loop_father->safelen = 0;
if (htab)
{
p = htab->find (&data);
if (p)
vf = p->vf;
}
switch (ifn)
{
case IFN_GOMP_SIMD_VF:
t = build_int_cst (unsigned_type_node, vf);
break;
case IFN_GOMP_SIMD_LANE:
t = build_int_cst (unsigned_type_node, 0);
break;
case IFN_GOMP_SIMD_LAST_LANE:
t = gimple_call_arg (stmt, 1);
break;
default:
gcc_unreachable ();
}
tree lhs = gimple_call_lhs (stmt);
if (lhs)
replace_uses_by (lhs, t);
release_defs (stmt);
gsi_remove (&i, true);
}
}
}
/* Helper structure for note_simd_array_uses. */
struct note_simd_array_uses_struct
{
hash_table<simd_array_to_simduid> **htab;
unsigned int simduid;
};
/* Callback for note_simd_array_uses, called through walk_gimple_op. */
static tree
note_simd_array_uses_cb (tree *tp, int *walk_subtrees, void *data)
{
struct walk_stmt_info *wi = (struct walk_stmt_info *) data;
struct note_simd_array_uses_struct *ns
= (struct note_simd_array_uses_struct *) wi->info;
if (TYPE_P (*tp))
*walk_subtrees = 0;
else if (VAR_P (*tp)
&& lookup_attribute ("omp simd array", DECL_ATTRIBUTES (*tp))
&& DECL_CONTEXT (*tp) == current_function_decl)
{
simd_array_to_simduid data;
if (!*ns->htab)
*ns->htab = new hash_table<simd_array_to_simduid> (15);
data.decl = *tp;
data.simduid = ns->simduid;
simd_array_to_simduid **slot = (*ns->htab)->find_slot (&data, INSERT);
if (*slot == NULL)
{
simd_array_to_simduid *p = XNEW (simd_array_to_simduid);
*p = data;
*slot = p;
}
else if ((*slot)->simduid != ns->simduid)
(*slot)->simduid = -1U;
*walk_subtrees = 0;
}
return NULL_TREE;
}
/* Find "omp simd array" temporaries and map them to corresponding
simduid. */
static void
note_simd_array_uses (hash_table<simd_array_to_simduid> **htab)
{
basic_block bb;
gimple_stmt_iterator gsi;
struct walk_stmt_info wi;
struct note_simd_array_uses_struct ns;
memset (&wi, 0, sizeof (wi));
wi.info = &ns;
ns.htab = htab;
FOR_EACH_BB_FN (bb, cfun)
for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
{
gimple *stmt = gsi_stmt (gsi);
if (!is_gimple_call (stmt) || !gimple_call_internal_p (stmt))
continue;
switch (gimple_call_internal_fn (stmt))
{
case IFN_GOMP_SIMD_LANE:
case IFN_GOMP_SIMD_VF:
case IFN_GOMP_SIMD_LAST_LANE:
break;
default:
continue;
}
tree lhs = gimple_call_lhs (stmt);
if (lhs == NULL_TREE)
continue;
imm_use_iterator use_iter;
gimple *use_stmt;
ns.simduid = DECL_UID (SSA_NAME_VAR (gimple_call_arg (stmt, 0)));
FOR_EACH_IMM_USE_STMT (use_stmt, use_iter, lhs)
if (!is_gimple_debug (use_stmt))
walk_gimple_op (use_stmt, note_simd_array_uses_cb, &wi);
}
}
/* Shrink arrays with "omp simd array" attribute to the corresponding
vectorization factor. */
static void
shrink_simd_arrays
(hash_table<simd_array_to_simduid> *simd_array_to_simduid_htab,
hash_table<simduid_to_vf> *simduid_to_vf_htab)
{
for (hash_table<simd_array_to_simduid>::iterator iter
= simd_array_to_simduid_htab->begin ();
iter != simd_array_to_simduid_htab->end (); ++iter)
if ((*iter)->simduid != -1U)
{
tree decl = (*iter)->decl;
poly_uint64 vf = 1;
if (simduid_to_vf_htab)
{
simduid_to_vf *p = NULL, data;
data.simduid = (*iter)->simduid;
p = simduid_to_vf_htab->find (&data);
if (p)
vf = p->vf;
}
tree atype
= build_array_type_nelts (TREE_TYPE (TREE_TYPE (decl)), vf);
TREE_TYPE (decl) = atype;
relayout_decl (decl);
}
delete simd_array_to_simduid_htab;
}
/* Initialize the vec_info with kind KIND_IN and target cost data
TARGET_COST_DATA_IN. */
vec_info::vec_info (vec_info::vec_kind kind_in, void *target_cost_data_in,
vec_info_shared *shared_)
: kind (kind_in),
shared (shared_),
stmt_vec_info_ro (false),
target_cost_data (target_cost_data_in)
{
stmt_vec_infos.create (50);
}
vec_info::~vec_info ()
{
slp_instance instance;
unsigned int i;
FOR_EACH_VEC_ELT (slp_instances, i, instance)
vect_free_slp_instance (instance);
destroy_cost_data (target_cost_data);
free_stmt_vec_infos ();
}
vec_info_shared::vec_info_shared ()
: datarefs (vNULL),
datarefs_copy (vNULL),
ddrs (vNULL)
{
}
vec_info_shared::~vec_info_shared ()
{
free_data_refs (datarefs);
free_dependence_relations (ddrs);
datarefs_copy.release ();
}
void
vec_info_shared::save_datarefs ()
{
if (!flag_checking)
return;
datarefs_copy.reserve_exact (datarefs.length ());
for (unsigned i = 0; i < datarefs.length (); ++i)
datarefs_copy.quick_push (*datarefs[i]);
}
void
vec_info_shared::check_datarefs ()
{
if (!flag_checking)
return;
gcc_assert (datarefs.length () == datarefs_copy.length ());
for (unsigned i = 0; i < datarefs.length (); ++i)
if (memcmp (&datarefs_copy[i], datarefs[i], sizeof (data_reference)) != 0)
gcc_unreachable ();
}
/* Record that STMT belongs to the vectorizable region. Create and return
an associated stmt_vec_info. */
stmt_vec_info
vec_info::add_stmt (gimple *stmt)
{
stmt_vec_info res = new_stmt_vec_info (stmt);
set_vinfo_for_stmt (stmt, res);
return res;
}
/* Record that STMT belongs to the vectorizable region. Create a new
stmt_vec_info and mark VECINFO as being related and return the new
stmt_vec_info. */
stmt_vec_info
vec_info::add_pattern_stmt (gimple *stmt, stmt_vec_info stmt_info)
{
stmt_vec_info res = new_stmt_vec_info (stmt);
set_vinfo_for_stmt (stmt, res, false);
STMT_VINFO_RELATED_STMT (res) = stmt_info;
return res;
}
/* If STMT has an associated stmt_vec_info, return that vec_info, otherwise
return null. It is safe to call this function on any statement, even if
it might not be part of the vectorizable region. */
stmt_vec_info
vec_info::lookup_stmt (gimple *stmt)
{
unsigned int uid = gimple_uid (stmt);
if (uid > 0 && uid - 1 < stmt_vec_infos.length ())
{
stmt_vec_info res = stmt_vec_infos[uid - 1];
if (res && res->stmt == stmt)
return res;
}
return NULL;
}
/* If NAME is an SSA_NAME and its definition has an associated stmt_vec_info,
return that stmt_vec_info, otherwise return null. It is safe to call
this on arbitrary operands. */
stmt_vec_info
vec_info::lookup_def (tree name)
{
if (TREE_CODE (name) == SSA_NAME
&& !SSA_NAME_IS_DEFAULT_DEF (name))
return lookup_stmt (SSA_NAME_DEF_STMT (name));
return NULL;
}
/* See whether there is a single non-debug statement that uses LHS and
whether that statement has an associated stmt_vec_info. Return the
stmt_vec_info if so, otherwise return null. */
stmt_vec_info
vec_info::lookup_single_use (tree lhs)
{
use_operand_p dummy;
gimple *use_stmt;
if (single_imm_use (lhs, &dummy, &use_stmt))
return lookup_stmt (use_stmt);
return NULL;
}
/* Return vectorization information about DR. */
dr_vec_info *
vec_info::lookup_dr (data_reference *dr)
{
stmt_vec_info stmt_info = lookup_stmt (DR_STMT (dr));
/* DR_STMT should never refer to a stmt in a pattern replacement. */
gcc_checking_assert (!is_pattern_stmt_p (stmt_info));
return STMT_VINFO_DR_INFO (stmt_info->dr_aux.stmt);
}
/* Record that NEW_STMT_INFO now implements the same data reference
as OLD_STMT_INFO. */
void
vec_info::move_dr (stmt_vec_info new_stmt_info, stmt_vec_info old_stmt_info)
{
gcc_assert (!is_pattern_stmt_p (old_stmt_info));
STMT_VINFO_DR_INFO (old_stmt_info)->stmt = new_stmt_info;
new_stmt_info->dr_aux = old_stmt_info->dr_aux;
STMT_VINFO_DR_WRT_VEC_LOOP (new_stmt_info)
= STMT_VINFO_DR_WRT_VEC_LOOP (old_stmt_info);
STMT_VINFO_GATHER_SCATTER_P (new_stmt_info)
= STMT_VINFO_GATHER_SCATTER_P (old_stmt_info);
}
/* Permanently remove the statement described by STMT_INFO from the
function. */
void
vec_info::remove_stmt (stmt_vec_info stmt_info)
{
gcc_assert (!stmt_info->pattern_stmt_p);
set_vinfo_for_stmt (stmt_info->stmt, NULL);
unlink_stmt_vdef (stmt_info->stmt);
gimple_stmt_iterator si = gsi_for_stmt (stmt_info->stmt);
gsi_remove (&si, true);
release_defs (stmt_info->stmt);
free_stmt_vec_info (stmt_info);
}
/* Replace the statement at GSI by NEW_STMT, both the vectorization
information and the function itself. STMT_INFO describes the statement
at GSI. */
void
vec_info::replace_stmt (gimple_stmt_iterator *gsi, stmt_vec_info stmt_info,
gimple *new_stmt)
{
gimple *old_stmt = stmt_info->stmt;
gcc_assert (!stmt_info->pattern_stmt_p && old_stmt == gsi_stmt (*gsi));
gimple_set_uid (new_stmt, gimple_uid (old_stmt));
stmt_info->stmt = new_stmt;
gsi_replace (gsi, new_stmt, true);
}
/* Insert stmts in SEQ on the VEC_INFO region entry. If CONTEXT is
not NULL it specifies whether to use the sub-region entry
determined by it, currently used for loop vectorization to insert
on the inner loop entry vs. the outer loop entry. */
void
vec_info::insert_seq_on_entry (stmt_vec_info context, gimple_seq seq)
{
if (loop_vec_info loop_vinfo = dyn_cast <loop_vec_info> (this))
{
class loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
basic_block new_bb;
edge pe;
if (context && nested_in_vect_loop_p (loop, context))
loop = loop->inner;
pe = loop_preheader_edge (loop);
new_bb = gsi_insert_seq_on_edge_immediate (pe, seq);
gcc_assert (!new_bb);
}
else
{
bb_vec_info bb_vinfo = as_a <bb_vec_info> (this);
gimple_stmt_iterator gsi_region_begin
= gsi_after_labels (bb_vinfo->bbs[0]);
gsi_insert_seq_before (&gsi_region_begin, seq, GSI_SAME_STMT);
}
}
/* Like insert_seq_on_entry but just inserts the single stmt NEW_STMT. */
void
vec_info::insert_on_entry (stmt_vec_info context, gimple *new_stmt)
{
gimple_seq seq = NULL;
gimple_stmt_iterator gsi = gsi_start (seq);
gsi_insert_before_without_update (&gsi, new_stmt, GSI_SAME_STMT);
insert_seq_on_entry (context, seq);
}
/* Create and initialize a new stmt_vec_info struct for STMT. */
stmt_vec_info
vec_info::new_stmt_vec_info (gimple *stmt)
{
stmt_vec_info res = XCNEW (class _stmt_vec_info);
res->stmt = stmt;
STMT_VINFO_TYPE (res) = undef_vec_info_type;
STMT_VINFO_RELEVANT (res) = vect_unused_in_scope;
STMT_VINFO_VECTORIZABLE (res) = true;
STMT_VINFO_REDUC_TYPE (res) = TREE_CODE_REDUCTION;
STMT_VINFO_REDUC_CODE (res) = ERROR_MARK;
STMT_VINFO_REDUC_FN (res) = IFN_LAST;
STMT_VINFO_REDUC_IDX (res) = -1;
STMT_VINFO_SLP_VECT_ONLY (res) = false;
STMT_VINFO_SLP_VECT_ONLY_PATTERN (res) = false;
STMT_VINFO_VEC_STMTS (res) = vNULL;
if (is_a <loop_vec_info> (this)
&& gimple_code (stmt) == GIMPLE_PHI
&& is_loop_header_bb_p (gimple_bb (stmt)))
STMT_VINFO_DEF_TYPE (res) = vect_unknown_def_type;
else
STMT_VINFO_DEF_TYPE (res) = vect_internal_def;
STMT_SLP_TYPE (res) = loop_vect;
/* This is really "uninitialized" until vect_compute_data_ref_alignment. */
res->dr_aux.misalignment = DR_MISALIGNMENT_UNINITIALIZED;
return res;
}
/* Associate STMT with INFO. */
void
vec_info::set_vinfo_for_stmt (gimple *stmt, stmt_vec_info info, bool check_ro)
{
unsigned int uid = gimple_uid (stmt);
if (uid == 0)
{
gcc_assert (!check_ro || !stmt_vec_info_ro);
gcc_checking_assert (info);
uid = stmt_vec_infos.length () + 1;
gimple_set_uid (stmt, uid);
stmt_vec_infos.safe_push (info);
}
else
{
gcc_checking_assert (info == NULL);
stmt_vec_infos[uid - 1] = info;
}
}
/* Free the contents of stmt_vec_infos. */
void
vec_info::free_stmt_vec_infos (void)
{
unsigned int i;
stmt_vec_info info;
FOR_EACH_VEC_ELT (stmt_vec_infos, i, info)
if (info != NULL)
free_stmt_vec_info (info);
stmt_vec_infos.release ();
}
/* Free STMT_INFO. */
void
vec_info::free_stmt_vec_info (stmt_vec_info stmt_info)
{
if (stmt_info->pattern_stmt_p)
{
gimple_set_bb (stmt_info->stmt, NULL);
tree lhs = gimple_get_lhs (stmt_info->stmt);
if (lhs && TREE_CODE (lhs) == SSA_NAME)
release_ssa_name (lhs);
}
STMT_VINFO_SIMD_CLONE_INFO (stmt_info).release ();
STMT_VINFO_VEC_STMTS (stmt_info).release ();
free (stmt_info);
}
/* Returns true if S1 dominates S2. */
bool
vect_stmt_dominates_stmt_p (gimple *s1, gimple *s2)
{
basic_block bb1 = gimple_bb (s1), bb2 = gimple_bb (s2);
/* If bb1 is NULL, it should be a GIMPLE_NOP def stmt of an (D)
SSA_NAME. Assume it lives at the beginning of function and
thus dominates everything. */
if (!bb1 || s1 == s2)
return true;
/* If bb2 is NULL, it doesn't dominate any stmt with a bb. */
if (!bb2)
return false;
if (bb1 != bb2)
return dominated_by_p (CDI_DOMINATORS, bb2, bb1);
/* PHIs in the same basic block are assumed to be
executed all in parallel, if only one stmt is a PHI,
it dominates the other stmt in the same basic block. */
if (gimple_code (s1) == GIMPLE_PHI)
return true;
if (gimple_code (s2) == GIMPLE_PHI)
return false;
/* Inserted vectorized stmts all have UID 0 while the original stmts
in the IL have UID increasing within a BB. Walk from both sides
until we find the other stmt or a stmt with UID != 0. */
gimple_stmt_iterator gsi1 = gsi_for_stmt (s1);
while (gimple_uid (gsi_stmt (gsi1)) == 0)
{
gsi_next (&gsi1);
if (gsi_end_p (gsi1))
return false;
if (gsi_stmt (gsi1) == s2)
return true;
}
if (gimple_uid (gsi_stmt (gsi1)) == -1u)
return false;
gimple_stmt_iterator gsi2 = gsi_for_stmt (s2);
while (gimple_uid (gsi_stmt (gsi2)) == 0)
{
gsi_prev (&gsi2);
if (gsi_end_p (gsi2))
return false;
if (gsi_stmt (gsi2) == s1)
return true;
}
if (gimple_uid (gsi_stmt (gsi2)) == -1u)
return false;
if (gimple_uid (gsi_stmt (gsi1)) <= gimple_uid (gsi_stmt (gsi2)))
return true;
return false;
}
/* A helper function to free scev and LOOP niter information, as well as
clear loop constraint LOOP_C_FINITE. */
void
vect_free_loop_info_assumptions (class loop *loop)
{
scev_reset_htab ();
/* We need to explicitly reset upper bound information since they are
used even after free_numbers_of_iterations_estimates. */
loop->any_upper_bound = false;
loop->any_likely_upper_bound = false;
free_numbers_of_iterations_estimates (loop);
loop_constraint_clear (loop, LOOP_C_FINITE);
}
/* If LOOP has been versioned during ifcvt, return the internal call
guarding it. */
gimple *
vect_loop_vectorized_call (class loop *loop, gcond **cond)
{
basic_block bb = loop_preheader_edge (loop)->src;
gimple *g;
do
{
g = last_stmt (bb);
if (g)
break;
if (!single_pred_p (bb))
break;
bb = single_pred (bb);
}
while (1);
if (g && gimple_code (g) == GIMPLE_COND)
{
if (cond)
*cond = as_a <gcond *> (g);
gimple_stmt_iterator gsi = gsi_for_stmt (g);
gsi_prev (&gsi);
if (!gsi_end_p (gsi))
{
g = gsi_stmt (gsi);
if (gimple_call_internal_p (g, IFN_LOOP_VECTORIZED)
&& (tree_to_shwi (gimple_call_arg (g, 0)) == loop->num
|| tree_to_shwi (gimple_call_arg (g, 1)) == loop->num))
return g;
}
}
return NULL;
}
/* If LOOP has been versioned during loop distribution, return the gurading
internal call. */
static gimple *
vect_loop_dist_alias_call (class loop *loop)
{
basic_block bb;
basic_block entry;
class loop *outer, *orig;
gimple_stmt_iterator gsi;
gimple *g;
if (loop->orig_loop_num == 0)
return NULL;
orig = get_loop (cfun, loop->orig_loop_num);
if (orig == NULL)
{
/* The original loop is somehow destroyed. Clear the information. */
loop->orig_loop_num = 0;
return NULL;
}
if (loop != orig)
bb = nearest_common_dominator (CDI_DOMINATORS, loop->header, orig->header);
else
bb = loop_preheader_edge (loop)->src;
outer = bb->loop_father;
entry = ENTRY_BLOCK_PTR_FOR_FN (cfun);
/* Look upward in dominance tree. */
for (; bb != entry && flow_bb_inside_loop_p (outer, bb);
bb = get_immediate_dominator (CDI_DOMINATORS, bb))
{
g = last_stmt (bb);
if (g == NULL || gimple_code (g) != GIMPLE_COND)
continue;
gsi = gsi_for_stmt (g);
gsi_prev (&gsi);
if (gsi_end_p (gsi))
continue;
g = gsi_stmt (gsi);
/* The guarding internal function call must have the same distribution
alias id. */
if (gimple_call_internal_p (g, IFN_LOOP_DIST_ALIAS)
&& (tree_to_shwi (gimple_call_arg (g, 0)) == loop->orig_loop_num))
return g;
}
return NULL;
}
/* Set the uids of all the statements in basic blocks inside loop
represented by LOOP_VINFO. LOOP_VECTORIZED_CALL is the internal
call guarding the loop which has been if converted. */
static void
set_uid_loop_bbs (loop_vec_info loop_vinfo, gimple *loop_vectorized_call)
{
tree arg = gimple_call_arg (loop_vectorized_call, 1);
basic_block *bbs;
unsigned int i;
class loop *scalar_loop = get_loop (cfun, tree_to_shwi (arg));
LOOP_VINFO_SCALAR_LOOP (loop_vinfo) = scalar_loop;
gcc_checking_assert (vect_loop_vectorized_call (scalar_loop)
== loop_vectorized_call);
/* If we are going to vectorize outer loop, prevent vectorization
of the inner loop in the scalar loop - either the scalar loop is
thrown away, so it is a wasted work, or is used only for
a few iterations. */
if (scalar_loop->inner)
{
gimple *g = vect_loop_vectorized_call (scalar_loop->inner);
if (g)
{
arg = gimple_call_arg (g, 0);
get_loop (cfun, tree_to_shwi (arg))->dont_vectorize = true;
fold_loop_internal_call (g, boolean_false_node);
}
}
bbs = get_loop_body (scalar_loop);
for (i = 0; i < scalar_loop->num_nodes; i++)
{
basic_block bb = bbs[i];
gimple_stmt_iterator gsi;
for (gsi = gsi_start_phis (bb); !gsi_end_p (gsi); gsi_next (&gsi))
{
gimple *phi = gsi_stmt (gsi);
gimple_set_uid (phi, 0);
}
for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
{
gimple *stmt = gsi_stmt (gsi);
gimple_set_uid (stmt, 0);
}
}
free (bbs);
}
/* Try to vectorize LOOP. */
static unsigned
try_vectorize_loop_1 (hash_table<simduid_to_vf> *&simduid_to_vf_htab,
unsigned *num_vectorized_loops, loop_p loop,
gimple *loop_vectorized_call,
gimple *loop_dist_alias_call)
{
unsigned ret = 0;
vec_info_shared shared;
auto_purge_vect_location sentinel;
vect_location = find_loop_location (loop);
if (LOCATION_LOCUS (vect_location.get_location_t ()) != UNKNOWN_LOCATION
&& dump_enabled_p ())
dump_printf (MSG_NOTE | MSG_PRIORITY_INTERNALS,
"\nAnalyzing loop at %s:%d\n",
LOCATION_FILE (vect_location.get_location_t ()),
LOCATION_LINE (vect_location.get_location_t ()));
opt_loop_vec_info loop_vinfo = opt_loop_vec_info::success (NULL);
/* In the case of epilogue vectorization the loop already has its
loop_vec_info set, we do not require to analyze the loop in this case. */
if (loop_vec_info vinfo = loop_vec_info_for_loop (loop))
loop_vinfo = opt_loop_vec_info::success (vinfo);
else
{
/* Try to analyze the loop, retaining an opt_problem if dump_enabled_p. */
loop_vinfo = vect_analyze_loop (loop, &shared);
loop->aux = loop_vinfo;
}
if (!loop_vinfo)
if (dump_enabled_p ())
if (opt_problem *problem = loop_vinfo.get_problem ())
{
dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
"couldn't vectorize loop\n");
problem->emit_and_clear ();
}
if (!loop_vinfo || !LOOP_VINFO_VECTORIZABLE_P (loop_vinfo))
{
/* Free existing information if loop is analyzed with some
assumptions. */
if (loop_constraint_set_p (loop, LOOP_C_FINITE))
vect_free_loop_info_assumptions (loop);
/* If we applied if-conversion then try to vectorize the
BB of innermost loops.
??? Ideally BB vectorization would learn to vectorize
control flow by applying if-conversion on-the-fly, the
following retains the if-converted loop body even when
only non-if-converted parts took part in BB vectorization. */
if (flag_tree_slp_vectorize != 0
&& loop_vectorized_call
&& ! loop->inner)
{
basic_block bb = loop->header;
bool require_loop_vectorize = false;
for (gimple_stmt_iterator gsi = gsi_start_bb (bb);
!gsi_end_p (gsi); gsi_next (&gsi))
{
gimple *stmt = gsi_stmt (gsi);
gcall *call = dyn_cast <gcall *> (stmt);
if (call && gimple_call_internal_p (call))
{
internal_fn ifn = gimple_call_internal_fn (call);
if (ifn == IFN_MASK_LOAD || ifn == IFN_MASK_STORE
/* Don't keep the if-converted parts when the ifn with
specifc type is not supported by the backend. */
|| (direct_internal_fn_p (ifn)
&& !direct_internal_fn_supported_p
(call, OPTIMIZE_FOR_SPEED)))
{
require_loop_vectorize = true;
break;
}
}
gimple_set_uid (stmt, -1);
gimple_set_visited (stmt, false);
}
if (!require_loop_vectorize && vect_slp_bb (bb))
{
fold_loop_internal_call (loop_vectorized_call,
boolean_true_node);
loop_vectorized_call = NULL;
ret |= TODO_cleanup_cfg | TODO_update_ssa_only_virtuals;
}
}
/* If outer loop vectorization fails for LOOP_VECTORIZED guarded
loop, don't vectorize its inner loop; we'll attempt to
vectorize LOOP_VECTORIZED guarded inner loop of the scalar
loop version. */
if (loop_vectorized_call && loop->inner)
loop->inner->dont_vectorize = true;
return ret;
}
/* Only count the original scalar loops. */
if (!LOOP_VINFO_EPILOGUE_P (loop_vinfo) && !dbg_cnt (vect_loop))
{
/* Free existing information if loop is analyzed with some
assumptions. */
if (loop_constraint_set_p (loop, LOOP_C_FINITE))
vect_free_loop_info_assumptions (loop);
return ret;
}
if (loop_vectorized_call)
set_uid_loop_bbs (loop_vinfo, loop_vectorized_call);
unsigned HOST_WIDE_INT bytes;
if (dump_enabled_p ())
{
if (GET_MODE_SIZE (loop_vinfo->vector_mode).is_constant (&bytes))
dump_printf_loc (MSG_OPTIMIZED_LOCATIONS, vect_location,
"loop vectorized using %wu byte vectors\n", bytes);
else
dump_printf_loc (MSG_OPTIMIZED_LOCATIONS, vect_location,
"loop vectorized using variable length vectors\n");
}
loop_p new_loop = vect_transform_loop (loop_vinfo,
loop_vectorized_call);
(*num_vectorized_loops)++;
/* Now that the loop has been vectorized, allow it to be unrolled
etc. */
loop->force_vectorize = false;
if (loop->simduid)
{
simduid_to_vf *simduid_to_vf_data = XNEW (simduid_to_vf);
if (!simduid_to_vf_htab)
simduid_to_vf_htab = new hash_table<simduid_to_vf> (15);
simduid_to_vf_data->simduid = DECL_UID (loop->simduid);
simduid_to_vf_data->vf = loop_vinfo->vectorization_factor;
*simduid_to_vf_htab->find_slot (simduid_to_vf_data, INSERT)
= simduid_to_vf_data;
}
if (loop_vectorized_call)
{
fold_loop_internal_call (loop_vectorized_call, boolean_true_node);
loop_vectorized_call = NULL;
ret |= TODO_cleanup_cfg;
}
if (loop_dist_alias_call)
{
tree value = gimple_call_arg (loop_dist_alias_call, 1);
fold_loop_internal_call (loop_dist_alias_call, value);
loop_dist_alias_call = NULL;
ret |= TODO_cleanup_cfg;
}
/* Epilogue of vectorized loop must be vectorized too. */
if (new_loop)
{
/* Don't include vectorized epilogues in the "vectorized loops" count.
*/
unsigned dont_count = *num_vectorized_loops;
ret |= try_vectorize_loop_1 (simduid_to_vf_htab, &dont_count,
new_loop, NULL, NULL);
}
return ret;
}
/* Try to vectorize LOOP. */
static unsigned
try_vectorize_loop (hash_table<simduid_to_vf> *&simduid_to_vf_htab,
unsigned *num_vectorized_loops, loop_p loop)
{
if (!((flag_tree_loop_vectorize
&& optimize_loop_nest_for_speed_p (loop))
|| loop->force_vectorize))
return 0;
return try_vectorize_loop_1 (simduid_to_vf_htab, num_vectorized_loops, loop,
vect_loop_vectorized_call (loop),
vect_loop_dist_alias_call (loop));
}
/* Function vectorize_loops.
Entry point to loop vectorization phase. */
unsigned
vectorize_loops (void)
{
unsigned int i;
unsigned int num_vectorized_loops = 0;
unsigned int vect_loops_num;
class loop *loop;
hash_table<simduid_to_vf> *simduid_to_vf_htab = NULL;
hash_table<simd_array_to_simduid> *simd_array_to_simduid_htab = NULL;
bool any_ifcvt_loops = false;
unsigned ret = 0;
vect_loops_num = number_of_loops (cfun);
/* Bail out if there are no loops. */
if (vect_loops_num <= 1)
return 0;
vect_slp_init ();
if (cfun->has_simduid_loops)
note_simd_array_uses (&simd_array_to_simduid_htab);
/* ----------- Analyze loops. ----------- */
/* If some loop was duplicated, it gets bigger number
than all previously defined loops. This fact allows us to run
only over initial loops skipping newly generated ones. */
FOR_EACH_LOOP (loop, 0)
if (loop->dont_vectorize)
{
any_ifcvt_loops = true;
/* If-conversion sometimes versions both the outer loop
(for the case when outer loop vectorization might be
desirable) as well as the inner loop in the scalar version
of the loop. So we have:
if (LOOP_VECTORIZED (1, 3))
{
loop1
loop2
}
else
loop3 (copy of loop1)
if (LOOP_VECTORIZED (4, 5))
loop4 (copy of loop2)
else
loop5 (copy of loop4)
If FOR_EACH_LOOP gives us loop3 first (which has
dont_vectorize set), make sure to process loop1 before loop4;
so that we can prevent vectorization of loop4 if loop1
is successfully vectorized. */
if (loop->inner)
{
gimple *loop_vectorized_call
= vect_loop_vectorized_call (loop);
if (loop_vectorized_call
&& vect_loop_vectorized_call (loop->inner))
{
tree arg = gimple_call_arg (loop_vectorized_call, 0);
class loop *vector_loop
= get_loop (cfun, tree_to_shwi (arg));
if (vector_loop && vector_loop != loop)
{
/* Make sure we don't vectorize it twice. */
vector_loop->dont_vectorize = true;
ret |= try_vectorize_loop (simduid_to_vf_htab,
&num_vectorized_loops,
vector_loop);
}
}
}
}
else
ret |= try_vectorize_loop (simduid_to_vf_htab, &num_vectorized_loops,
loop);
vect_location = dump_user_location_t ();
statistics_counter_event (cfun, "Vectorized loops", num_vectorized_loops);
if (dump_enabled_p ()
|| (num_vectorized_loops > 0 && dump_enabled_p ()))
dump_printf_loc (MSG_NOTE, vect_location,
"vectorized %u loops in function.\n",
num_vectorized_loops);
/* ----------- Finalize. ----------- */
if (any_ifcvt_loops)
for (i = 1; i < number_of_loops (cfun); i++)
{
loop = get_loop (cfun, i);
if (loop && loop->dont_vectorize)
{
gimple *g = vect_loop_vectorized_call (loop);
if (g)
{
fold_loop_internal_call (g, boolean_false_node);
ret |= TODO_cleanup_cfg;
g = NULL;
}
else
g = vect_loop_dist_alias_call (loop);
if (g)
{
fold_loop_internal_call (g, boolean_false_node);
ret |= TODO_cleanup_cfg;
}
}
}
for (i = 1; i < number_of_loops (cfun); i++)
{
loop_vec_info loop_vinfo;
bool has_mask_store;
loop = get_loop (cfun, i);
if (!loop || !loop->aux)
continue;
loop_vinfo = (loop_vec_info) loop->aux;
has_mask_store = LOOP_VINFO_HAS_MASK_STORE (loop_vinfo);
delete loop_vinfo;
if (has_mask_store
&& targetm.vectorize.empty_mask_is_expensive (IFN_MASK_STORE))
optimize_mask_stores (loop);
loop->aux = NULL;
}
/* Fold IFN_GOMP_SIMD_{VF,LANE,LAST_LANE,ORDERED_{START,END}} builtins. */
if (cfun->has_simduid_loops)
{
adjust_simduid_builtins (simduid_to_vf_htab);
/* Avoid stale SCEV cache entries for the SIMD_LANE defs. */
scev_reset ();
}
/* Shrink any "omp array simd" temporary arrays to the
actual vectorization factors. */
if (simd_array_to_simduid_htab)
shrink_simd_arrays (simd_array_to_simduid_htab, simduid_to_vf_htab);
delete simduid_to_vf_htab;
cfun->has_simduid_loops = false;
vect_slp_fini ();
if (num_vectorized_loops > 0)
{
/* If we vectorized any loop only virtual SSA form needs to be updated.
??? Also while we try hard to update loop-closed SSA form we fail
to properly do this in some corner-cases (see PR56286). */
rewrite_into_loop_closed_ssa (NULL, TODO_update_ssa_only_virtuals);
return TODO_cleanup_cfg;
}
return ret;
}
/* Entry point to the simduid cleanup pass. */
namespace {
const pass_data pass_data_simduid_cleanup =
{
GIMPLE_PASS, /* type */
"simduid", /* name */
OPTGROUP_NONE, /* optinfo_flags */
TV_NONE, /* tv_id */
( PROP_ssa | PROP_cfg ), /* properties_required */
0, /* properties_provided */
0, /* properties_destroyed */
0, /* todo_flags_start */
0, /* todo_flags_finish */
};
class pass_simduid_cleanup : public gimple_opt_pass
{
public:
pass_simduid_cleanup (gcc::context *ctxt)
: gimple_opt_pass (pass_data_simduid_cleanup, ctxt)
{}
/* opt_pass methods: */
opt_pass * clone () { return new pass_simduid_cleanup (m_ctxt); }
virtual bool gate (function *fun) { return fun->has_simduid_loops; }
virtual unsigned int execute (function *);
}; // class pass_simduid_cleanup
unsigned int
pass_simduid_cleanup::execute (function *fun)
{
hash_table<simd_array_to_simduid> *simd_array_to_simduid_htab = NULL;
note_simd_array_uses (&simd_array_to_simduid_htab);
/* Fold IFN_GOMP_SIMD_{VF,LANE,LAST_LANE,ORDERED_{START,END}} builtins. */
adjust_simduid_builtins (NULL);
/* Shrink any "omp array simd" temporary arrays to the
actual vectorization factors. */
if (simd_array_to_simduid_htab)
shrink_simd_arrays (simd_array_to_simduid_htab, NULL);
fun->has_simduid_loops = false;
return 0;
}
} // anon namespace
gimple_opt_pass *
make_pass_simduid_cleanup (gcc::context *ctxt)
{
return new pass_simduid_cleanup (ctxt);
}
/* Entry point to basic block SLP phase. */
namespace {
const pass_data pass_data_slp_vectorize =
{
GIMPLE_PASS, /* type */
"slp", /* name */
OPTGROUP_LOOP | OPTGROUP_VEC, /* optinfo_flags */
TV_TREE_SLP_VECTORIZATION, /* tv_id */
( PROP_ssa | PROP_cfg ), /* properties_required */
0, /* properties_provided */
0, /* properties_destroyed */
0, /* todo_flags_start */
TODO_update_ssa, /* todo_flags_finish */
};
class pass_slp_vectorize : public gimple_opt_pass
{
public:
pass_slp_vectorize (gcc::context *ctxt)
: gimple_opt_pass (pass_data_slp_vectorize, ctxt)
{}
/* opt_pass methods: */
opt_pass * clone () { return new pass_slp_vectorize (m_ctxt); }
virtual bool gate (function *) { return flag_tree_slp_vectorize != 0; }
virtual unsigned int execute (function *);
}; // class pass_slp_vectorize
unsigned int
pass_slp_vectorize::execute (function *fun)
{
auto_purge_vect_location sentinel;
basic_block bb;
bool in_loop_pipeline = scev_initialized_p ();
if (!in_loop_pipeline)
{
loop_optimizer_init (LOOPS_NORMAL);
scev_initialize ();
}
/* Mark all stmts as not belonging to the current region and unvisited. */
FOR_EACH_BB_FN (bb, fun)
{
for (gphi_iterator gsi = gsi_start_phis (bb); !gsi_end_p (gsi);
gsi_next (&gsi))
{
gphi *stmt = gsi.phi ();
gimple_set_uid (stmt, -1);
gimple_set_visited (stmt, false);
}
for (gimple_stmt_iterator gsi = gsi_start_bb (bb); !gsi_end_p (gsi);
gsi_next (&gsi))
{
gimple *stmt = gsi_stmt (gsi);
gimple_set_uid (stmt, -1);
gimple_set_visited (stmt, false);
}
}
vect_slp_init ();
vect_slp_function (fun);
vect_slp_fini ();
if (!in_loop_pipeline)
{
scev_finalize ();
loop_optimizer_finalize ();
}
return 0;
}
} // anon namespace
gimple_opt_pass *
make_pass_slp_vectorize (gcc::context *ctxt)
{
return new pass_slp_vectorize (ctxt);
}
/* Increase alignment of global arrays to improve vectorization potential.
TODO:
- Consider also structs that have an array field.
- Use ipa analysis to prune arrays that can't be vectorized?
This should involve global alignment analysis and in the future also
array padding. */
static unsigned get_vec_alignment_for_type (tree);
static hash_map<tree, unsigned> *type_align_map;
/* Return alignment of array's vector type corresponding to scalar type.
0 if no vector type exists. */
static unsigned
get_vec_alignment_for_array_type (tree type)
{
gcc_assert (TREE_CODE (type) == ARRAY_TYPE);
poly_uint64 array_size, vector_size;
tree scalar_type = strip_array_types (type);
tree vectype = get_related_vectype_for_scalar_type (VOIDmode, scalar_type);
if (!vectype
|| !poly_int_tree_p (TYPE_SIZE (type), &array_size)
|| !poly_int_tree_p (TYPE_SIZE (vectype), &vector_size)
|| maybe_lt (array_size, vector_size))
return 0;
return TYPE_ALIGN (vectype);
}
/* Return alignment of field having maximum alignment of vector type
corresponding to it's scalar type. For now, we only consider fields whose
offset is a multiple of it's vector alignment.
0 if no suitable field is found. */
static unsigned
get_vec_alignment_for_record_type (tree type)
{
gcc_assert (TREE_CODE (type) == RECORD_TYPE);
unsigned max_align = 0, alignment;
HOST_WIDE_INT offset;
tree offset_tree;
if (TYPE_PACKED (type))
return 0;
unsigned *slot = type_align_map->get (type);
if (slot)
return *slot;
for (tree field = first_field (type);
field != NULL_TREE;
field = DECL_CHAIN (field))
{
/* Skip if not FIELD_DECL or if alignment is set by user. */
if (TREE_CODE (field) != FIELD_DECL
|| DECL_USER_ALIGN (field)
|| DECL_ARTIFICIAL (field))
continue;
/* We don't need to process the type further if offset is variable,
since the offsets of remaining members will also be variable. */
if (TREE_CODE (DECL_FIELD_OFFSET (field)) != INTEGER_CST
|| TREE_CODE (DECL_FIELD_BIT_OFFSET (field)) != INTEGER_CST)
break;
/* Similarly stop processing the type if offset_tree
does not fit in unsigned HOST_WIDE_INT. */
offset_tree = bit_position (field);
if (!tree_fits_uhwi_p (offset_tree))
break;
offset = tree_to_uhwi (offset_tree);
alignment = get_vec_alignment_for_type (TREE_TYPE (field));
/* Get maximum alignment of vectorized field/array among those members
whose offset is multiple of the vector alignment. */
if (alignment
&& (offset % alignment == 0)
&& (alignment > max_align))
max_align = alignment;
}
type_align_map->put (type, max_align);
return max_align;
}
/* Return alignment of vector type corresponding to decl's scalar type
or 0 if it doesn't exist or the vector alignment is lesser than
decl's alignment. */
static unsigned
get_vec_alignment_for_type (tree type)
{
if (type == NULL_TREE)
return 0;
gcc_assert (TYPE_P (type));
static unsigned alignment = 0;
switch (TREE_CODE (type))
{
case ARRAY_TYPE:
alignment = get_vec_alignment_for_array_type (type);
break;
case RECORD_TYPE:
alignment = get_vec_alignment_for_record_type (type);
break;
default:
alignment = 0;
break;
}
return (alignment > TYPE_ALIGN (type)) ? alignment : 0;
}
/* Entry point to increase_alignment pass. */
static unsigned int
increase_alignment (void)
{
varpool_node *vnode;
vect_location = dump_user_location_t ();
type_align_map = new hash_map<tree, unsigned>;
/* Increase the alignment of all global arrays for vectorization. */
FOR_EACH_DEFINED_VARIABLE (vnode)
{
tree decl = vnode->decl;
unsigned int alignment;
if ((decl_in_symtab_p (decl)
&& !symtab_node::get (decl)->can_increase_alignment_p ())
|| DECL_USER_ALIGN (decl) || DECL_ARTIFICIAL (decl))
continue;
alignment = get_vec_alignment_for_type (TREE_TYPE (decl));
if (alignment && vect_can_force_dr_alignment_p (decl, alignment))
{
vnode->increase_alignment (alignment);
if (dump_enabled_p ())
dump_printf (MSG_NOTE, "Increasing alignment of decl: %T\n", decl);
}
}
delete type_align_map;
return 0;
}
namespace {
const pass_data pass_data_ipa_increase_alignment =
{
SIMPLE_IPA_PASS, /* type */
"increase_alignment", /* name */
OPTGROUP_LOOP | OPTGROUP_VEC, /* optinfo_flags */
TV_IPA_OPT, /* tv_id */
0, /* properties_required */
0, /* properties_provided */
0, /* properties_destroyed */
0, /* todo_flags_start */
0, /* todo_flags_finish */
};
class pass_ipa_increase_alignment : public simple_ipa_opt_pass
{
public:
pass_ipa_increase_alignment (gcc::context *ctxt)
: simple_ipa_opt_pass (pass_data_ipa_increase_alignment, ctxt)
{}
/* opt_pass methods: */
virtual bool gate (function *)
{
return flag_section_anchors && flag_tree_loop_vectorize;
}
virtual unsigned int execute (function *) { return increase_alignment (); }
}; // class pass_ipa_increase_alignment
} // anon namespace
simple_ipa_opt_pass *
make_pass_ipa_increase_alignment (gcc::context *ctxt)
{
return new pass_ipa_increase_alignment (ctxt);
}
/* If the condition represented by T is a comparison or the SSA name
result of a comparison, extract the comparison's operands. Represent
T as NE_EXPR <T, 0> otherwise. */
void
scalar_cond_masked_key::get_cond_ops_from_tree (tree t)
{
if (TREE_CODE_CLASS (TREE_CODE (t)) == tcc_comparison)
{
this->code = TREE_CODE (t);
this->op0 = TREE_OPERAND (t, 0);
this->op1 = TREE_OPERAND (t, 1);
return;
}
if (TREE_CODE (t) == SSA_NAME)
if (gassign *stmt = dyn_cast<gassign *> (SSA_NAME_DEF_STMT (t)))
{
tree_code code = gimple_assign_rhs_code (stmt);
if (TREE_CODE_CLASS (code) == tcc_comparison)
{
this->code = code;
this->op0 = gimple_assign_rhs1 (stmt);
this->op1 = gimple_assign_rhs2 (stmt);
return;
}
}
this->code = NE_EXPR;
this->op0 = t;
this->op1 = build_zero_cst (TREE_TYPE (t));
}