Mercurial > hg > CbC > CbC_gcc
annotate gcc/tree-vect-patterns.c @ 88:f214c1d5b862
merge 89
| author | Nobuyasu Oshiro <dimolto@cr.ie.u-ryukyu.ac.jp> |
|---|---|
| date | Tue, 20 Dec 2011 18:53:46 +0900 |
| parents | f6334be47118 |
| children | 04ced10e8804 |
| rev | line source |
|---|---|
| 0 | 1 /* Analysis Utilities for Loop Vectorization. |
|
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2 Copyright (C) 2006, 2007, 2008, 2009, 2010 Free Software Foundation, Inc. |
| 0 | 3 Contributed by Dorit Nuzman <dorit@il.ibm.com> |
| 4 | |
| 5 This file is part of GCC. | |
| 6 | |
| 7 GCC is free software; you can redistribute it and/or modify it under | |
| 8 the terms of the GNU General Public License as published by the Free | |
| 9 Software Foundation; either version 3, or (at your option) any later | |
| 10 version. | |
| 11 | |
| 12 GCC is distributed in the hope that it will be useful, but WITHOUT ANY | |
| 13 WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
| 14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
| 15 for more details. | |
| 16 | |
| 17 You should have received a copy of the GNU General Public License | |
| 18 along with GCC; see the file COPYING3. If not see | |
| 19 <http://www.gnu.org/licenses/>. */ | |
| 20 | |
| 21 #include "config.h" | |
| 22 #include "system.h" | |
| 23 #include "coretypes.h" | |
| 24 #include "tm.h" | |
| 25 #include "ggc.h" | |
| 26 #include "tree.h" | |
| 27 #include "target.h" | |
| 28 #include "basic-block.h" | |
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29 #include "gimple-pretty-print.h" |
| 0 | 30 #include "tree-flow.h" |
| 31 #include "tree-dump.h" | |
| 32 #include "cfgloop.h" | |
| 33 #include "expr.h" | |
| 34 #include "optabs.h" | |
| 35 #include "params.h" | |
| 36 #include "tree-data-ref.h" | |
| 37 #include "tree-vectorizer.h" | |
| 38 #include "recog.h" | |
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39 #include "diagnostic-core.h" |
| 0 | 40 |
| 41 /* Function prototypes */ | |
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42 static void vect_pattern_recog_1 |
| 0 | 43 (gimple (* ) (gimple, tree *, tree *), gimple_stmt_iterator); |
| 44 static bool widened_name_p (tree, gimple, tree *, gimple *); | |
| 45 | |
| 46 /* Pattern recognition functions */ | |
| 47 static gimple vect_recog_widen_sum_pattern (gimple, tree *, tree *); | |
| 48 static gimple vect_recog_widen_mult_pattern (gimple, tree *, tree *); | |
| 49 static gimple vect_recog_dot_prod_pattern (gimple, tree *, tree *); | |
| 50 static gimple vect_recog_pow_pattern (gimple, tree *, tree *); | |
| 51 static vect_recog_func_ptr vect_vect_recog_func_ptrs[NUM_PATTERNS] = { | |
| 52 vect_recog_widen_mult_pattern, | |
| 53 vect_recog_widen_sum_pattern, | |
| 54 vect_recog_dot_prod_pattern, | |
| 55 vect_recog_pow_pattern}; | |
| 56 | |
| 57 | |
| 58 /* Function widened_name_p | |
| 59 | |
| 60 Check whether NAME, an ssa-name used in USE_STMT, | |
| 61 is a result of a type-promotion, such that: | |
| 62 DEF_STMT: NAME = NOP (name0) | |
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63 where the type of name0 (HALF_TYPE) is smaller than the type of NAME. |
| 0 | 64 */ |
| 65 | |
| 66 static bool | |
| 67 widened_name_p (tree name, gimple use_stmt, tree *half_type, gimple *def_stmt) | |
| 68 { | |
| 69 tree dummy; | |
| 70 gimple dummy_gimple; | |
| 71 loop_vec_info loop_vinfo; | |
| 72 stmt_vec_info stmt_vinfo; | |
| 73 tree type = TREE_TYPE (name); | |
| 74 tree oprnd0; | |
| 75 enum vect_def_type dt; | |
| 76 tree def; | |
| 77 | |
| 78 stmt_vinfo = vinfo_for_stmt (use_stmt); | |
| 79 loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_vinfo); | |
| 80 | |
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81 if (!vect_is_simple_use (name, loop_vinfo, NULL, def_stmt, &def, &dt)) |
| 0 | 82 return false; |
| 83 | |
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84 if (dt != vect_internal_def |
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85 && dt != vect_external_def && dt != vect_constant_def) |
| 0 | 86 return false; |
| 87 | |
| 88 if (! *def_stmt) | |
| 89 return false; | |
| 90 | |
| 91 if (!is_gimple_assign (*def_stmt)) | |
| 92 return false; | |
| 93 | |
| 94 if (gimple_assign_rhs_code (*def_stmt) != NOP_EXPR) | |
| 95 return false; | |
| 96 | |
| 97 oprnd0 = gimple_assign_rhs1 (*def_stmt); | |
| 98 | |
| 99 *half_type = TREE_TYPE (oprnd0); | |
| 100 if (!INTEGRAL_TYPE_P (type) || !INTEGRAL_TYPE_P (*half_type) | |
| 101 || (TYPE_UNSIGNED (type) != TYPE_UNSIGNED (*half_type)) | |
| 102 || (TYPE_PRECISION (type) < (TYPE_PRECISION (*half_type) * 2))) | |
| 103 return false; | |
| 104 | |
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105 if (!vect_is_simple_use (oprnd0, loop_vinfo, NULL, &dummy_gimple, &dummy, |
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106 &dt)) |
| 0 | 107 return false; |
| 108 | |
| 109 return true; | |
| 110 } | |
| 111 | |
| 112 /* Helper to return a new temporary for pattern of TYPE for STMT. If STMT | |
| 113 is NULL, the caller must set SSA_NAME_DEF_STMT for the returned SSA var. */ | |
| 114 | |
| 115 static tree | |
| 116 vect_recog_temp_ssa_var (tree type, gimple stmt) | |
| 117 { | |
| 118 tree var = create_tmp_var (type, "patt"); | |
| 119 | |
| 120 add_referenced_var (var); | |
| 121 var = make_ssa_name (var, stmt); | |
| 122 return var; | |
| 123 } | |
| 124 | |
| 125 /* Function vect_recog_dot_prod_pattern | |
| 126 | |
| 127 Try to find the following pattern: | |
| 128 | |
| 129 type x_t, y_t; | |
| 130 TYPE1 prod; | |
| 131 TYPE2 sum = init; | |
| 132 loop: | |
| 133 sum_0 = phi <init, sum_1> | |
| 134 S1 x_t = ... | |
| 135 S2 y_t = ... | |
| 136 S3 x_T = (TYPE1) x_t; | |
| 137 S4 y_T = (TYPE1) y_t; | |
| 138 S5 prod = x_T * y_T; | |
| 139 [S6 prod = (TYPE2) prod; #optional] | |
| 140 S7 sum_1 = prod + sum_0; | |
| 141 | |
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142 where 'TYPE1' is exactly double the size of type 'type', and 'TYPE2' is the |
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143 same size of 'TYPE1' or bigger. This is a special case of a reduction |
| 0 | 144 computation. |
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145 |
| 0 | 146 Input: |
| 147 | |
| 148 * LAST_STMT: A stmt from which the pattern search begins. In the example, | |
| 149 when this function is called with S7, the pattern {S3,S4,S5,S6,S7} will be | |
| 150 detected. | |
| 151 | |
| 152 Output: | |
| 153 | |
| 154 * TYPE_IN: The type of the input arguments to the pattern. | |
| 155 | |
| 156 * TYPE_OUT: The type of the output of this pattern. | |
| 157 | |
| 158 * Return value: A new stmt that will be used to replace the sequence of | |
| 159 stmts that constitute the pattern. In this case it will be: | |
| 160 WIDEN_DOT_PRODUCT <x_t, y_t, sum_0> | |
| 161 | |
| 162 Note: The dot-prod idiom is a widening reduction pattern that is | |
| 163 vectorized without preserving all the intermediate results. It | |
| 164 produces only N/2 (widened) results (by summing up pairs of | |
| 165 intermediate results) rather than all N results. Therefore, we | |
| 166 cannot allow this pattern when we want to get all the results and in | |
| 167 the correct order (as is the case when this computation is in an | |
| 168 inner-loop nested in an outer-loop that us being vectorized). */ | |
| 169 | |
| 170 static gimple | |
| 171 vect_recog_dot_prod_pattern (gimple last_stmt, tree *type_in, tree *type_out) | |
| 172 { | |
| 173 gimple stmt; | |
| 174 tree oprnd0, oprnd1; | |
| 175 tree oprnd00, oprnd01; | |
| 176 stmt_vec_info stmt_vinfo = vinfo_for_stmt (last_stmt); | |
| 177 tree type, half_type; | |
| 178 gimple pattern_stmt; | |
| 179 tree prod_type; | |
| 180 loop_vec_info loop_info = STMT_VINFO_LOOP_VINFO (stmt_vinfo); | |
| 181 struct loop *loop = LOOP_VINFO_LOOP (loop_info); | |
| 182 tree var, rhs; | |
| 183 | |
| 184 if (!is_gimple_assign (last_stmt)) | |
| 185 return NULL; | |
| 186 | |
| 187 type = gimple_expr_type (last_stmt); | |
| 188 | |
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189 /* Look for the following pattern |
| 0 | 190 DX = (TYPE1) X; |
| 191 DY = (TYPE1) Y; | |
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192 DPROD = DX * DY; |
| 0 | 193 DDPROD = (TYPE2) DPROD; |
| 194 sum_1 = DDPROD + sum_0; | |
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195 In which |
| 0 | 196 - DX is double the size of X |
| 197 - DY is double the size of Y | |
| 198 - DX, DY, DPROD all have the same type | |
| 199 - sum is the same size of DPROD or bigger | |
| 200 - sum has been recognized as a reduction variable. | |
| 201 | |
| 202 This is equivalent to: | |
| 203 DPROD = X w* Y; #widen mult | |
| 204 sum_1 = DPROD w+ sum_0; #widen summation | |
| 205 or | |
| 206 DPROD = X w* Y; #widen mult | |
| 207 sum_1 = DPROD + sum_0; #summation | |
| 208 */ | |
| 209 | |
| 210 /* Starting from LAST_STMT, follow the defs of its uses in search | |
| 211 of the above pattern. */ | |
| 212 | |
| 213 if (gimple_assign_rhs_code (last_stmt) != PLUS_EXPR) | |
| 214 return NULL; | |
| 215 | |
| 216 if (STMT_VINFO_IN_PATTERN_P (stmt_vinfo)) | |
| 217 { | |
| 218 /* Has been detected as widening-summation? */ | |
| 219 | |
| 220 stmt = STMT_VINFO_RELATED_STMT (stmt_vinfo); | |
| 221 type = gimple_expr_type (stmt); | |
| 222 if (gimple_assign_rhs_code (stmt) != WIDEN_SUM_EXPR) | |
| 223 return NULL; | |
| 224 oprnd0 = gimple_assign_rhs1 (stmt); | |
| 225 oprnd1 = gimple_assign_rhs2 (stmt); | |
| 226 half_type = TREE_TYPE (oprnd0); | |
| 227 } | |
| 228 else | |
| 229 { | |
| 230 gimple def_stmt; | |
| 231 | |
| 232 if (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_reduction_def) | |
| 233 return NULL; | |
| 234 oprnd0 = gimple_assign_rhs1 (last_stmt); | |
| 235 oprnd1 = gimple_assign_rhs2 (last_stmt); | |
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236 if (!types_compatible_p (TREE_TYPE (oprnd0), type) |
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237 || !types_compatible_p (TREE_TYPE (oprnd1), type)) |
| 0 | 238 return NULL; |
| 239 stmt = last_stmt; | |
| 240 | |
| 241 if (widened_name_p (oprnd0, stmt, &half_type, &def_stmt)) | |
| 242 { | |
| 243 stmt = def_stmt; | |
| 244 oprnd0 = gimple_assign_rhs1 (stmt); | |
| 245 } | |
| 246 else | |
| 247 half_type = type; | |
| 248 } | |
| 249 | |
| 250 /* So far so good. Since last_stmt was detected as a (summation) reduction, | |
| 251 we know that oprnd1 is the reduction variable (defined by a loop-header | |
| 252 phi), and oprnd0 is an ssa-name defined by a stmt in the loop body. | |
| 253 Left to check that oprnd0 is defined by a (widen_)mult_expr */ | |
| 254 | |
| 255 prod_type = half_type; | |
| 256 stmt = SSA_NAME_DEF_STMT (oprnd0); | |
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257 |
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258 /* It could not be the dot_prod pattern if the stmt is outside the loop. */ |
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259 if (!gimple_bb (stmt) || !flow_bb_inside_loop_p (loop, gimple_bb (stmt))) |
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260 return NULL; |
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261 |
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262 /* FORNOW. Can continue analyzing the def-use chain when this stmt in a phi |
| 0 | 263 inside the loop (in case we are analyzing an outer-loop). */ |
| 264 if (!is_gimple_assign (stmt)) | |
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265 return NULL; |
| 0 | 266 stmt_vinfo = vinfo_for_stmt (stmt); |
| 267 gcc_assert (stmt_vinfo); | |
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268 if (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_internal_def) |
| 0 | 269 return NULL; |
| 270 if (gimple_assign_rhs_code (stmt) != MULT_EXPR) | |
| 271 return NULL; | |
| 272 if (STMT_VINFO_IN_PATTERN_P (stmt_vinfo)) | |
| 273 { | |
| 274 /* Has been detected as a widening multiplication? */ | |
| 275 | |
| 276 stmt = STMT_VINFO_RELATED_STMT (stmt_vinfo); | |
| 277 if (gimple_assign_rhs_code (stmt) != WIDEN_MULT_EXPR) | |
| 278 return NULL; | |
| 279 stmt_vinfo = vinfo_for_stmt (stmt); | |
| 280 gcc_assert (stmt_vinfo); | |
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281 gcc_assert (STMT_VINFO_DEF_TYPE (stmt_vinfo) == vect_internal_def); |
| 0 | 282 oprnd00 = gimple_assign_rhs1 (stmt); |
| 283 oprnd01 = gimple_assign_rhs2 (stmt); | |
| 284 } | |
| 285 else | |
| 286 { | |
| 287 tree half_type0, half_type1; | |
| 288 gimple def_stmt; | |
| 289 tree oprnd0, oprnd1; | |
| 290 | |
| 291 oprnd0 = gimple_assign_rhs1 (stmt); | |
| 292 oprnd1 = gimple_assign_rhs2 (stmt); | |
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293 if (!types_compatible_p (TREE_TYPE (oprnd0), prod_type) |
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294 || !types_compatible_p (TREE_TYPE (oprnd1), prod_type)) |
| 0 | 295 return NULL; |
| 296 if (!widened_name_p (oprnd0, stmt, &half_type0, &def_stmt)) | |
| 297 return NULL; | |
| 298 oprnd00 = gimple_assign_rhs1 (def_stmt); | |
| 299 if (!widened_name_p (oprnd1, stmt, &half_type1, &def_stmt)) | |
| 300 return NULL; | |
| 301 oprnd01 = gimple_assign_rhs1 (def_stmt); | |
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302 if (!types_compatible_p (half_type0, half_type1)) |
| 0 | 303 return NULL; |
| 304 if (TYPE_PRECISION (prod_type) != TYPE_PRECISION (half_type0) * 2) | |
| 305 return NULL; | |
| 306 } | |
| 307 | |
| 308 half_type = TREE_TYPE (oprnd00); | |
| 309 *type_in = half_type; | |
| 310 *type_out = type; | |
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311 |
| 0 | 312 /* Pattern detected. Create a stmt to be used to replace the pattern: */ |
| 313 var = vect_recog_temp_ssa_var (type, NULL); | |
| 314 rhs = build3 (DOT_PROD_EXPR, type, oprnd00, oprnd01, oprnd1), | |
| 315 pattern_stmt = gimple_build_assign (var, rhs); | |
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316 |
| 0 | 317 if (vect_print_dump_info (REPORT_DETAILS)) |
| 318 { | |
| 319 fprintf (vect_dump, "vect_recog_dot_prod_pattern: detected: "); | |
| 320 print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM); | |
| 321 } | |
| 322 | |
| 323 /* We don't allow changing the order of the computation in the inner-loop | |
| 324 when doing outer-loop vectorization. */ | |
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325 gcc_assert (!nested_in_vect_loop_p (loop, last_stmt)); |
| 0 | 326 |
| 327 return pattern_stmt; | |
| 328 } | |
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329 |
| 0 | 330 /* Function vect_recog_widen_mult_pattern |
| 331 | |
| 332 Try to find the following pattern: | |
| 333 | |
| 334 type a_t, b_t; | |
| 335 TYPE a_T, b_T, prod_T; | |
| 336 | |
| 337 S1 a_t = ; | |
| 338 S2 b_t = ; | |
| 339 S3 a_T = (TYPE) a_t; | |
| 340 S4 b_T = (TYPE) b_t; | |
| 341 S5 prod_T = a_T * b_T; | |
| 342 | |
| 343 where type 'TYPE' is at least double the size of type 'type'. | |
| 344 | |
| 345 Input: | |
| 346 | |
| 347 * LAST_STMT: A stmt from which the pattern search begins. In the example, | |
| 348 when this function is called with S5, the pattern {S3,S4,S5} is be detected. | |
| 349 | |
| 350 Output: | |
| 351 | |
| 352 * TYPE_IN: The type of the input arguments to the pattern. | |
| 353 | |
| 354 * TYPE_OUT: The type of the output of this pattern. | |
| 355 | |
| 356 * Return value: A new stmt that will be used to replace the sequence of | |
| 357 stmts that constitute the pattern. In this case it will be: | |
| 358 WIDEN_MULT <a_t, b_t> | |
| 359 */ | |
| 360 | |
| 361 static gimple | |
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362 vect_recog_widen_mult_pattern (gimple last_stmt, |
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363 tree *type_in, |
| 0 | 364 tree *type_out) |
| 365 { | |
| 366 gimple def_stmt0, def_stmt1; | |
| 367 tree oprnd0, oprnd1; | |
| 368 tree type, half_type0, half_type1; | |
| 369 gimple pattern_stmt; | |
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370 tree vectype, vectype_out; |
| 0 | 371 tree dummy; |
| 372 tree var; | |
| 373 enum tree_code dummy_code; | |
| 374 int dummy_int; | |
| 375 VEC (tree, heap) *dummy_vec; | |
| 376 | |
| 377 if (!is_gimple_assign (last_stmt)) | |
| 378 return NULL; | |
| 379 | |
| 380 type = gimple_expr_type (last_stmt); | |
| 381 | |
| 382 /* Starting from LAST_STMT, follow the defs of its uses in search | |
| 383 of the above pattern. */ | |
| 384 | |
| 385 if (gimple_assign_rhs_code (last_stmt) != MULT_EXPR) | |
| 386 return NULL; | |
| 387 | |
| 388 oprnd0 = gimple_assign_rhs1 (last_stmt); | |
| 389 oprnd1 = gimple_assign_rhs2 (last_stmt); | |
|
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390 if (!types_compatible_p (TREE_TYPE (oprnd0), type) |
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391 || !types_compatible_p (TREE_TYPE (oprnd1), type)) |
| 0 | 392 return NULL; |
| 393 | |
| 394 /* Check argument 0 */ | |
| 395 if (!widened_name_p (oprnd0, last_stmt, &half_type0, &def_stmt0)) | |
| 396 return NULL; | |
| 397 oprnd0 = gimple_assign_rhs1 (def_stmt0); | |
| 398 | |
| 399 /* Check argument 1 */ | |
| 400 if (!widened_name_p (oprnd1, last_stmt, &half_type1, &def_stmt1)) | |
| 401 return NULL; | |
| 402 oprnd1 = gimple_assign_rhs1 (def_stmt1); | |
| 403 | |
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404 if (!types_compatible_p (half_type0, half_type1)) |
| 0 | 405 return NULL; |
| 406 | |
| 407 /* Pattern detected. */ | |
| 408 if (vect_print_dump_info (REPORT_DETAILS)) | |
| 409 fprintf (vect_dump, "vect_recog_widen_mult_pattern: detected: "); | |
| 410 | |
| 411 /* Check target support */ | |
| 412 vectype = get_vectype_for_scalar_type (half_type0); | |
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413 vectype_out = get_vectype_for_scalar_type (type); |
| 0 | 414 if (!vectype |
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415 || !vectype_out |
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416 || !supportable_widening_operation (WIDEN_MULT_EXPR, last_stmt, |
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417 vectype_out, vectype, |
| 0 | 418 &dummy, &dummy, &dummy_code, |
| 419 &dummy_code, &dummy_int, &dummy_vec)) | |
| 420 return NULL; | |
| 421 | |
| 422 *type_in = vectype; | |
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423 *type_out = vectype_out; |
| 0 | 424 |
| 425 /* Pattern supported. Create a stmt to be used to replace the pattern: */ | |
| 426 var = vect_recog_temp_ssa_var (type, NULL); | |
| 427 pattern_stmt = gimple_build_assign_with_ops (WIDEN_MULT_EXPR, var, oprnd0, | |
| 428 oprnd1); | |
| 429 SSA_NAME_DEF_STMT (var) = pattern_stmt; | |
| 430 | |
| 431 if (vect_print_dump_info (REPORT_DETAILS)) | |
| 432 print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM); | |
| 433 | |
| 434 return pattern_stmt; | |
| 435 } | |
| 436 | |
| 437 | |
| 438 /* Function vect_recog_pow_pattern | |
| 439 | |
| 440 Try to find the following pattern: | |
| 441 | |
| 442 x = POW (y, N); | |
| 443 | |
| 444 with POW being one of pow, powf, powi, powif and N being | |
| 445 either 2 or 0.5. | |
| 446 | |
| 447 Input: | |
| 448 | |
| 449 * LAST_STMT: A stmt from which the pattern search begins. | |
| 450 | |
| 451 Output: | |
| 452 | |
| 453 * TYPE_IN: The type of the input arguments to the pattern. | |
| 454 | |
| 455 * TYPE_OUT: The type of the output of this pattern. | |
| 456 | |
| 457 * Return value: A new stmt that will be used to replace the sequence of | |
| 458 stmts that constitute the pattern. In this case it will be: | |
| 459 x = x * x | |
| 460 or | |
| 461 x = sqrt (x) | |
| 462 */ | |
| 463 | |
| 464 static gimple | |
| 465 vect_recog_pow_pattern (gimple last_stmt, tree *type_in, tree *type_out) | |
| 466 { | |
| 467 tree fn, base, exp = NULL; | |
| 468 gimple stmt; | |
| 469 tree var; | |
| 470 | |
| 471 if (!is_gimple_call (last_stmt) || gimple_call_lhs (last_stmt) == NULL) | |
| 472 return NULL; | |
| 473 | |
| 474 fn = gimple_call_fndecl (last_stmt); | |
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475 if (fn == NULL_TREE || DECL_BUILT_IN_CLASS (fn) != BUILT_IN_NORMAL) |
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476 return NULL; |
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477 |
| 0 | 478 switch (DECL_FUNCTION_CODE (fn)) |
| 479 { | |
| 480 case BUILT_IN_POWIF: | |
| 481 case BUILT_IN_POWI: | |
| 482 case BUILT_IN_POWF: | |
| 483 case BUILT_IN_POW: | |
| 484 base = gimple_call_arg (last_stmt, 0); | |
| 485 exp = gimple_call_arg (last_stmt, 1); | |
| 486 if (TREE_CODE (exp) != REAL_CST | |
| 487 && TREE_CODE (exp) != INTEGER_CST) | |
| 488 return NULL; | |
| 489 break; | |
| 490 | |
| 491 default: | |
| 492 return NULL; | |
| 493 } | |
| 494 | |
| 495 /* We now have a pow or powi builtin function call with a constant | |
| 496 exponent. */ | |
| 497 | |
| 498 *type_out = NULL_TREE; | |
| 499 | |
| 500 /* Catch squaring. */ | |
| 501 if ((host_integerp (exp, 0) | |
| 502 && tree_low_cst (exp, 0) == 2) | |
| 503 || (TREE_CODE (exp) == REAL_CST | |
| 504 && REAL_VALUES_EQUAL (TREE_REAL_CST (exp), dconst2))) | |
| 505 { | |
| 506 *type_in = TREE_TYPE (base); | |
| 507 | |
| 508 var = vect_recog_temp_ssa_var (TREE_TYPE (base), NULL); | |
| 509 stmt = gimple_build_assign_with_ops (MULT_EXPR, var, base, base); | |
| 510 SSA_NAME_DEF_STMT (var) = stmt; | |
| 511 return stmt; | |
| 512 } | |
| 513 | |
| 514 /* Catch square root. */ | |
| 515 if (TREE_CODE (exp) == REAL_CST | |
| 516 && REAL_VALUES_EQUAL (TREE_REAL_CST (exp), dconsthalf)) | |
| 517 { | |
| 518 tree newfn = mathfn_built_in (TREE_TYPE (base), BUILT_IN_SQRT); | |
| 519 *type_in = get_vectype_for_scalar_type (TREE_TYPE (base)); | |
| 520 if (*type_in) | |
| 521 { | |
| 522 gimple stmt = gimple_build_call (newfn, 1, base); | |
| 523 if (vectorizable_function (stmt, *type_in, *type_in) | |
| 524 != NULL_TREE) | |
| 525 { | |
| 526 var = vect_recog_temp_ssa_var (TREE_TYPE (base), stmt); | |
|
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527 gimple_call_set_lhs (stmt, var); |
| 0 | 528 return stmt; |
| 529 } | |
| 530 } | |
| 531 } | |
| 532 | |
| 533 return NULL; | |
| 534 } | |
| 535 | |
| 536 | |
| 537 /* Function vect_recog_widen_sum_pattern | |
| 538 | |
| 539 Try to find the following pattern: | |
| 540 | |
|
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541 type x_t; |
| 0 | 542 TYPE x_T, sum = init; |
| 543 loop: | |
| 544 sum_0 = phi <init, sum_1> | |
| 545 S1 x_t = *p; | |
| 546 S2 x_T = (TYPE) x_t; | |
| 547 S3 sum_1 = x_T + sum_0; | |
| 548 | |
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549 where type 'TYPE' is at least double the size of type 'type', i.e - we're |
| 0 | 550 summing elements of type 'type' into an accumulator of type 'TYPE'. This is |
| 551 a special case of a reduction computation. | |
| 552 | |
| 553 Input: | |
| 554 | |
| 555 * LAST_STMT: A stmt from which the pattern search begins. In the example, | |
| 556 when this function is called with S3, the pattern {S2,S3} will be detected. | |
|
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557 |
| 0 | 558 Output: |
|
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559 |
| 0 | 560 * TYPE_IN: The type of the input arguments to the pattern. |
| 561 | |
| 562 * TYPE_OUT: The type of the output of this pattern. | |
| 563 | |
| 564 * Return value: A new stmt that will be used to replace the sequence of | |
| 565 stmts that constitute the pattern. In this case it will be: | |
| 566 WIDEN_SUM <x_t, sum_0> | |
| 567 | |
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568 Note: The widening-sum idiom is a widening reduction pattern that is |
| 0 | 569 vectorized without preserving all the intermediate results. It |
|
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570 produces only N/2 (widened) results (by summing up pairs of |
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571 intermediate results) rather than all N results. Therefore, we |
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572 cannot allow this pattern when we want to get all the results and in |
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573 the correct order (as is the case when this computation is in an |
| 0 | 574 inner-loop nested in an outer-loop that us being vectorized). */ |
| 575 | |
| 576 static gimple | |
| 577 vect_recog_widen_sum_pattern (gimple last_stmt, tree *type_in, tree *type_out) | |
| 578 { | |
| 579 gimple stmt; | |
| 580 tree oprnd0, oprnd1; | |
| 581 stmt_vec_info stmt_vinfo = vinfo_for_stmt (last_stmt); | |
| 582 tree type, half_type; | |
| 583 gimple pattern_stmt; | |
| 584 loop_vec_info loop_info = STMT_VINFO_LOOP_VINFO (stmt_vinfo); | |
| 585 struct loop *loop = LOOP_VINFO_LOOP (loop_info); | |
| 586 tree var; | |
| 587 | |
| 588 if (!is_gimple_assign (last_stmt)) | |
| 589 return NULL; | |
| 590 | |
| 591 type = gimple_expr_type (last_stmt); | |
| 592 | |
| 593 /* Look for the following pattern | |
| 594 DX = (TYPE) X; | |
| 595 sum_1 = DX + sum_0; | |
| 596 In which DX is at least double the size of X, and sum_1 has been | |
| 597 recognized as a reduction variable. | |
| 598 */ | |
| 599 | |
| 600 /* Starting from LAST_STMT, follow the defs of its uses in search | |
| 601 of the above pattern. */ | |
| 602 | |
| 603 if (gimple_assign_rhs_code (last_stmt) != PLUS_EXPR) | |
| 604 return NULL; | |
| 605 | |
| 606 if (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_reduction_def) | |
| 607 return NULL; | |
| 608 | |
| 609 oprnd0 = gimple_assign_rhs1 (last_stmt); | |
| 610 oprnd1 = gimple_assign_rhs2 (last_stmt); | |
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611 if (!types_compatible_p (TREE_TYPE (oprnd0), type) |
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612 || !types_compatible_p (TREE_TYPE (oprnd1), type)) |
| 0 | 613 return NULL; |
| 614 | |
| 615 /* So far so good. Since last_stmt was detected as a (summation) reduction, | |
| 616 we know that oprnd1 is the reduction variable (defined by a loop-header | |
| 617 phi), and oprnd0 is an ssa-name defined by a stmt in the loop body. | |
| 618 Left to check that oprnd0 is defined by a cast from type 'type' to type | |
| 619 'TYPE'. */ | |
| 620 | |
| 621 if (!widened_name_p (oprnd0, last_stmt, &half_type, &stmt)) | |
| 622 return NULL; | |
| 623 | |
| 624 oprnd0 = gimple_assign_rhs1 (stmt); | |
| 625 *type_in = half_type; | |
| 626 *type_out = type; | |
| 627 | |
| 628 /* Pattern detected. Create a stmt to be used to replace the pattern: */ | |
| 629 var = vect_recog_temp_ssa_var (type, NULL); | |
| 630 pattern_stmt = gimple_build_assign_with_ops (WIDEN_SUM_EXPR, var, | |
| 631 oprnd0, oprnd1); | |
| 632 SSA_NAME_DEF_STMT (var) = pattern_stmt; | |
| 633 | |
| 634 if (vect_print_dump_info (REPORT_DETAILS)) | |
| 635 { | |
| 636 fprintf (vect_dump, "vect_recog_widen_sum_pattern: detected: "); | |
| 637 print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM); | |
| 638 } | |
| 639 | |
| 640 /* We don't allow changing the order of the computation in the inner-loop | |
| 641 when doing outer-loop vectorization. */ | |
|
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642 gcc_assert (!nested_in_vect_loop_p (loop, last_stmt)); |
| 0 | 643 |
| 644 return pattern_stmt; | |
| 645 } | |
| 646 | |
| 647 | |
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648 /* Function vect_pattern_recog_1 |
| 0 | 649 |
| 650 Input: | |
| 651 PATTERN_RECOG_FUNC: A pointer to a function that detects a certain | |
| 652 computation pattern. | |
| 653 STMT: A stmt from which the pattern search should start. | |
| 654 | |
| 655 If PATTERN_RECOG_FUNC successfully detected the pattern, it creates an | |
|
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656 expression that computes the same functionality and can be used to |
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657 replace the sequence of stmts that are involved in the pattern. |
| 0 | 658 |
| 659 Output: | |
|
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660 This function checks if the expression returned by PATTERN_RECOG_FUNC is |
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661 supported in vector form by the target. We use 'TYPE_IN' to obtain the |
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662 relevant vector type. If 'TYPE_IN' is already a vector type, then this |
| 0 | 663 indicates that target support had already been checked by PATTERN_RECOG_FUNC. |
| 664 If 'TYPE_OUT' is also returned by PATTERN_RECOG_FUNC, we check that it fits | |
| 665 to the available target pattern. | |
| 666 | |
|
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667 This function also does some bookkeeping, as explained in the documentation |
| 0 | 668 for vect_recog_pattern. */ |
| 669 | |
| 670 static void | |
| 671 vect_pattern_recog_1 ( | |
| 672 gimple (* vect_recog_func) (gimple, tree *, tree *), | |
| 673 gimple_stmt_iterator si) | |
| 674 { | |
| 675 gimple stmt = gsi_stmt (si), pattern_stmt; | |
| 676 stmt_vec_info stmt_info = vinfo_for_stmt (stmt); | |
| 677 stmt_vec_info pattern_stmt_info; | |
| 678 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info); | |
| 679 tree pattern_vectype; | |
| 680 tree type_in, type_out; | |
| 681 enum tree_code code; | |
|
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682 int i; |
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683 gimple next; |
| 0 | 684 |
| 685 pattern_stmt = (* vect_recog_func) (stmt, &type_in, &type_out); | |
| 686 if (!pattern_stmt) | |
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687 return; |
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688 |
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689 if (VECTOR_MODE_P (TYPE_MODE (type_in))) |
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690 { |
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691 /* No need to check target support (already checked by the pattern |
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692 recognition function). */ |
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693 if (type_out) |
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694 gcc_assert (VECTOR_MODE_P (TYPE_MODE (type_out))); |
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695 pattern_vectype = type_out ? type_out : type_in; |
| 0 | 696 } |
| 697 else | |
| 698 { | |
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699 enum machine_mode vec_mode; |
| 0 | 700 enum insn_code icode; |
| 701 optab optab; | |
| 702 | |
| 703 /* Check target support */ | |
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704 type_in = get_vectype_for_scalar_type (type_in); |
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705 if (!type_in) |
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706 return; |
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707 if (type_out) |
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708 type_out = get_vectype_for_scalar_type (type_out); |
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709 else |
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710 type_out = type_in; |
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711 if (!type_out) |
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712 return; |
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713 pattern_vectype = type_out; |
| 0 | 714 |
| 715 if (is_gimple_assign (pattern_stmt)) | |
| 716 code = gimple_assign_rhs_code (pattern_stmt); | |
| 717 else | |
| 718 { | |
| 719 gcc_assert (is_gimple_call (pattern_stmt)); | |
| 720 code = CALL_EXPR; | |
| 721 } | |
| 722 | |
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723 optab = optab_for_tree_code (code, type_in, optab_default); |
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724 vec_mode = TYPE_MODE (type_in); |
| 0 | 725 if (!optab |
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726 || (icode = optab_handler (optab, vec_mode)) == CODE_FOR_nothing |
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727 || (insn_data[icode].operand[0].mode != TYPE_MODE (type_out))) |
| 0 | 728 return; |
| 729 } | |
| 730 | |
| 731 /* Found a vectorizable pattern. */ | |
| 732 if (vect_print_dump_info (REPORT_DETAILS)) | |
| 733 { | |
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734 fprintf (vect_dump, "pattern recognized: "); |
| 0 | 735 print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM); |
| 736 } | |
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737 |
| 0 | 738 /* Mark the stmts that are involved in the pattern. */ |
| 739 gsi_insert_before (&si, pattern_stmt, GSI_SAME_STMT); | |
| 740 set_vinfo_for_stmt (pattern_stmt, | |
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741 new_stmt_vec_info (pattern_stmt, loop_vinfo, NULL)); |
| 0 | 742 pattern_stmt_info = vinfo_for_stmt (pattern_stmt); |
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743 |
| 0 | 744 STMT_VINFO_RELATED_STMT (pattern_stmt_info) = stmt; |
| 745 STMT_VINFO_DEF_TYPE (pattern_stmt_info) = STMT_VINFO_DEF_TYPE (stmt_info); | |
| 746 STMT_VINFO_VECTYPE (pattern_stmt_info) = pattern_vectype; | |
| 747 STMT_VINFO_IN_PATTERN_P (stmt_info) = true; | |
| 748 STMT_VINFO_RELATED_STMT (stmt_info) = pattern_stmt; | |
| 749 | |
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750 /* Patterns cannot be vectorized using SLP, because they change the order of |
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751 computation. */ |
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752 FOR_EACH_VEC_ELT (gimple, LOOP_VINFO_REDUCTIONS (loop_vinfo), i, next) |
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753 if (next == stmt) |
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754 VEC_ordered_remove (gimple, LOOP_VINFO_REDUCTIONS (loop_vinfo), i); |
| 0 | 755 } |
| 756 | |
| 757 | |
| 758 /* Function vect_pattern_recog | |
| 759 | |
| 760 Input: | |
| 761 LOOP_VINFO - a struct_loop_info of a loop in which we want to look for | |
| 762 computation idioms. | |
| 763 | |
| 764 Output - for each computation idiom that is detected we insert a new stmt | |
| 765 that provides the same functionality and that can be vectorized. We | |
| 766 also record some information in the struct_stmt_info of the relevant | |
| 767 stmts, as explained below: | |
| 768 | |
| 769 At the entry to this function we have the following stmts, with the | |
| 770 following initial value in the STMT_VINFO fields: | |
| 771 | |
| 772 stmt in_pattern_p related_stmt vec_stmt | |
| 773 S1: a_i = .... - - - | |
| 774 S2: a_2 = ..use(a_i).. - - - | |
| 775 S3: a_1 = ..use(a_2).. - - - | |
| 776 S4: a_0 = ..use(a_1).. - - - | |
| 777 S5: ... = ..use(a_0).. - - - | |
| 778 | |
| 779 Say the sequence {S1,S2,S3,S4} was detected as a pattern that can be | |
| 780 represented by a single stmt. We then: | |
| 781 - create a new stmt S6 that will replace the pattern. | |
| 782 - insert the new stmt S6 before the last stmt in the pattern | |
| 783 - fill in the STMT_VINFO fields as follows: | |
| 784 | |
| 785 in_pattern_p related_stmt vec_stmt | |
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786 S1: a_i = .... - - - |
| 0 | 787 S2: a_2 = ..use(a_i).. - - - |
| 788 S3: a_1 = ..use(a_2).. - - - | |
| 789 > S6: a_new = .... - S4 - | |
| 790 S4: a_0 = ..use(a_1).. true S6 - | |
| 791 S5: ... = ..use(a_0).. - - - | |
| 792 | |
| 793 (the last stmt in the pattern (S4) and the new pattern stmt (S6) point | |
| 794 to each other through the RELATED_STMT field). | |
| 795 | |
| 796 S6 will be marked as relevant in vect_mark_stmts_to_be_vectorized instead | |
| 797 of S4 because it will replace all its uses. Stmts {S1,S2,S3} will | |
| 798 remain irrelevant unless used by stmts other than S4. | |
| 799 | |
| 800 If vectorization succeeds, vect_transform_stmt will skip over {S1,S2,S3} | |
| 801 (because they are marked as irrelevant). It will vectorize S6, and record | |
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802 a pointer to the new vector stmt VS6 both from S6 (as usual), and also |
| 0 | 803 from S4. We do that so that when we get to vectorizing stmts that use the |
| 804 def of S4 (like S5 that uses a_0), we'll know where to take the relevant | |
| 805 vector-def from. S4 will be skipped, and S5 will be vectorized as usual: | |
| 806 | |
| 807 in_pattern_p related_stmt vec_stmt | |
| 808 S1: a_i = .... - - - | |
| 809 S2: a_2 = ..use(a_i).. - - - | |
| 810 S3: a_1 = ..use(a_2).. - - - | |
| 811 > VS6: va_new = .... - - - | |
| 812 S6: a_new = .... - S4 VS6 | |
| 813 S4: a_0 = ..use(a_1).. true S6 VS6 | |
| 814 > VS5: ... = ..vuse(va_new).. - - - | |
| 815 S5: ... = ..use(a_0).. - - - | |
| 816 | |
| 817 DCE could then get rid of {S1,S2,S3,S4,S5,S6} (if their defs are not used | |
| 818 elsewhere), and we'll end up with: | |
| 819 | |
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820 VS6: va_new = .... |
| 0 | 821 VS5: ... = ..vuse(va_new).. |
| 822 | |
| 823 If vectorization does not succeed, DCE will clean S6 away (its def is | |
| 824 not used), and we'll end up with the original sequence. | |
| 825 */ | |
| 826 | |
| 827 void | |
| 828 vect_pattern_recog (loop_vec_info loop_vinfo) | |
| 829 { | |
| 830 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo); | |
| 831 basic_block *bbs = LOOP_VINFO_BBS (loop_vinfo); | |
| 832 unsigned int nbbs = loop->num_nodes; | |
| 833 gimple_stmt_iterator si; | |
| 834 unsigned int i, j; | |
| 835 gimple (* vect_recog_func_ptr) (gimple, tree *, tree *); | |
| 836 | |
| 837 if (vect_print_dump_info (REPORT_DETAILS)) | |
| 838 fprintf (vect_dump, "=== vect_pattern_recog ==="); | |
| 839 | |
| 840 /* Scan through the loop stmts, applying the pattern recognition | |
| 841 functions starting at each stmt visited: */ | |
| 842 for (i = 0; i < nbbs; i++) | |
| 843 { | |
| 844 basic_block bb = bbs[i]; | |
| 845 for (si = gsi_start_bb (bb); !gsi_end_p (si); gsi_next (&si)) | |
| 846 { | |
| 847 /* Scan over all generic vect_recog_xxx_pattern functions. */ | |
| 848 for (j = 0; j < NUM_PATTERNS; j++) | |
| 849 { | |
| 850 vect_recog_func_ptr = vect_vect_recog_func_ptrs[j]; | |
| 851 vect_pattern_recog_1 (vect_recog_func_ptr, si); | |
| 852 } | |
| 853 } | |
| 854 } | |
| 855 } |