Austin Schuh | 189376f | 2018-12-20 22:11:15 +1100 | [diff] [blame^] | 1 | // This file is part of Eigen, a lightweight C++ template library |
| 2 | // for linear algebra. |
| 3 | // |
| 4 | // Copyright (C) 2015 Benoit Jacob <benoitjacob@google.com> |
| 5 | // |
| 6 | // This Source Code Form is subject to the terms of the Mozilla |
| 7 | // Public License v. 2.0. If a copy of the MPL was not distributed |
| 8 | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
| 9 | |
| 10 | #include <iostream> |
| 11 | #include <cstdint> |
| 12 | #include <cstdlib> |
| 13 | #include <vector> |
| 14 | #include <algorithm> |
| 15 | #include <fstream> |
| 16 | #include <string> |
| 17 | #include <cmath> |
| 18 | #include <cassert> |
| 19 | #include <cstring> |
| 20 | #include <memory> |
| 21 | |
| 22 | #include <Eigen/Core> |
| 23 | |
| 24 | using namespace std; |
| 25 | |
| 26 | const int default_precision = 4; |
| 27 | |
| 28 | // see --only-cubic-sizes |
| 29 | bool only_cubic_sizes = false; |
| 30 | |
| 31 | // see --dump-tables |
| 32 | bool dump_tables = false; |
| 33 | |
| 34 | uint8_t log2_pot(size_t x) { |
| 35 | size_t l = 0; |
| 36 | while (x >>= 1) l++; |
| 37 | return l; |
| 38 | } |
| 39 | |
| 40 | uint16_t compact_size_triple(size_t k, size_t m, size_t n) |
| 41 | { |
| 42 | return (log2_pot(k) << 8) | (log2_pot(m) << 4) | log2_pot(n); |
| 43 | } |
| 44 | |
| 45 | // just a helper to store a triple of K,M,N sizes for matrix product |
| 46 | struct size_triple_t |
| 47 | { |
| 48 | uint16_t k, m, n; |
| 49 | size_triple_t() : k(0), m(0), n(0) {} |
| 50 | size_triple_t(size_t _k, size_t _m, size_t _n) : k(_k), m(_m), n(_n) {} |
| 51 | size_triple_t(const size_triple_t& o) : k(o.k), m(o.m), n(o.n) {} |
| 52 | size_triple_t(uint16_t compact) |
| 53 | { |
| 54 | k = 1 << ((compact & 0xf00) >> 8); |
| 55 | m = 1 << ((compact & 0x0f0) >> 4); |
| 56 | n = 1 << ((compact & 0x00f) >> 0); |
| 57 | } |
| 58 | bool is_cubic() const { return k == m && m == n; } |
| 59 | }; |
| 60 | |
| 61 | ostream& operator<<(ostream& s, const size_triple_t& t) |
| 62 | { |
| 63 | return s << "(" << t.k << ", " << t.m << ", " << t.n << ")"; |
| 64 | } |
| 65 | |
| 66 | struct inputfile_entry_t |
| 67 | { |
| 68 | uint16_t product_size; |
| 69 | uint16_t pot_block_size; |
| 70 | size_triple_t nonpot_block_size; |
| 71 | float gflops; |
| 72 | }; |
| 73 | |
| 74 | struct inputfile_t |
| 75 | { |
| 76 | enum class type_t { |
| 77 | unknown, |
| 78 | all_pot_sizes, |
| 79 | default_sizes |
| 80 | }; |
| 81 | |
| 82 | string filename; |
| 83 | vector<inputfile_entry_t> entries; |
| 84 | type_t type; |
| 85 | |
| 86 | inputfile_t(const string& fname) |
| 87 | : filename(fname) |
| 88 | , type(type_t::unknown) |
| 89 | { |
| 90 | ifstream stream(filename); |
| 91 | if (!stream.is_open()) { |
| 92 | cerr << "couldn't open input file: " << filename << endl; |
| 93 | exit(1); |
| 94 | } |
| 95 | string line; |
| 96 | while (getline(stream, line)) { |
| 97 | if (line.empty()) continue; |
| 98 | if (line.find("BEGIN MEASUREMENTS ALL POT SIZES") == 0) { |
| 99 | if (type != type_t::unknown) { |
| 100 | cerr << "Input file " << filename << " contains redundant BEGIN MEASUREMENTS lines"; |
| 101 | exit(1); |
| 102 | } |
| 103 | type = type_t::all_pot_sizes; |
| 104 | continue; |
| 105 | } |
| 106 | if (line.find("BEGIN MEASUREMENTS DEFAULT SIZES") == 0) { |
| 107 | if (type != type_t::unknown) { |
| 108 | cerr << "Input file " << filename << " contains redundant BEGIN MEASUREMENTS lines"; |
| 109 | exit(1); |
| 110 | } |
| 111 | type = type_t::default_sizes; |
| 112 | continue; |
| 113 | } |
| 114 | |
| 115 | |
| 116 | if (type == type_t::unknown) { |
| 117 | continue; |
| 118 | } |
| 119 | switch(type) { |
| 120 | case type_t::all_pot_sizes: { |
| 121 | unsigned int product_size, block_size; |
| 122 | float gflops; |
| 123 | int sscanf_result = |
| 124 | sscanf(line.c_str(), "%x %x %f", |
| 125 | &product_size, |
| 126 | &block_size, |
| 127 | &gflops); |
| 128 | if (3 != sscanf_result || |
| 129 | !product_size || |
| 130 | product_size > 0xfff || |
| 131 | !block_size || |
| 132 | block_size > 0xfff || |
| 133 | !isfinite(gflops)) |
| 134 | { |
| 135 | cerr << "ill-formed input file: " << filename << endl; |
| 136 | cerr << "offending line:" << endl << line << endl; |
| 137 | exit(1); |
| 138 | } |
| 139 | if (only_cubic_sizes && !size_triple_t(product_size).is_cubic()) { |
| 140 | continue; |
| 141 | } |
| 142 | inputfile_entry_t entry; |
| 143 | entry.product_size = uint16_t(product_size); |
| 144 | entry.pot_block_size = uint16_t(block_size); |
| 145 | entry.gflops = gflops; |
| 146 | entries.push_back(entry); |
| 147 | break; |
| 148 | } |
| 149 | case type_t::default_sizes: { |
| 150 | unsigned int product_size; |
| 151 | float gflops; |
| 152 | int bk, bm, bn; |
| 153 | int sscanf_result = |
| 154 | sscanf(line.c_str(), "%x default(%d, %d, %d) %f", |
| 155 | &product_size, |
| 156 | &bk, &bm, &bn, |
| 157 | &gflops); |
| 158 | if (5 != sscanf_result || |
| 159 | !product_size || |
| 160 | product_size > 0xfff || |
| 161 | !isfinite(gflops)) |
| 162 | { |
| 163 | cerr << "ill-formed input file: " << filename << endl; |
| 164 | cerr << "offending line:" << endl << line << endl; |
| 165 | exit(1); |
| 166 | } |
| 167 | if (only_cubic_sizes && !size_triple_t(product_size).is_cubic()) { |
| 168 | continue; |
| 169 | } |
| 170 | inputfile_entry_t entry; |
| 171 | entry.product_size = uint16_t(product_size); |
| 172 | entry.pot_block_size = 0; |
| 173 | entry.nonpot_block_size = size_triple_t(bk, bm, bn); |
| 174 | entry.gflops = gflops; |
| 175 | entries.push_back(entry); |
| 176 | break; |
| 177 | } |
| 178 | |
| 179 | default: |
| 180 | break; |
| 181 | } |
| 182 | } |
| 183 | stream.close(); |
| 184 | if (type == type_t::unknown) { |
| 185 | cerr << "Unrecognized input file " << filename << endl; |
| 186 | exit(1); |
| 187 | } |
| 188 | if (entries.empty()) { |
| 189 | cerr << "didn't find any measurements in input file: " << filename << endl; |
| 190 | exit(1); |
| 191 | } |
| 192 | } |
| 193 | }; |
| 194 | |
| 195 | struct preprocessed_inputfile_entry_t |
| 196 | { |
| 197 | uint16_t product_size; |
| 198 | uint16_t block_size; |
| 199 | |
| 200 | float efficiency; |
| 201 | }; |
| 202 | |
| 203 | bool lower_efficiency(const preprocessed_inputfile_entry_t& e1, const preprocessed_inputfile_entry_t& e2) |
| 204 | { |
| 205 | return e1.efficiency < e2.efficiency; |
| 206 | } |
| 207 | |
| 208 | struct preprocessed_inputfile_t |
| 209 | { |
| 210 | string filename; |
| 211 | vector<preprocessed_inputfile_entry_t> entries; |
| 212 | |
| 213 | preprocessed_inputfile_t(const inputfile_t& inputfile) |
| 214 | : filename(inputfile.filename) |
| 215 | { |
| 216 | if (inputfile.type != inputfile_t::type_t::all_pot_sizes) { |
| 217 | abort(); |
| 218 | } |
| 219 | auto it = inputfile.entries.begin(); |
| 220 | auto it_first_with_given_product_size = it; |
| 221 | while (it != inputfile.entries.end()) { |
| 222 | ++it; |
| 223 | if (it == inputfile.entries.end() || |
| 224 | it->product_size != it_first_with_given_product_size->product_size) |
| 225 | { |
| 226 | import_input_file_range_one_product_size(it_first_with_given_product_size, it); |
| 227 | it_first_with_given_product_size = it; |
| 228 | } |
| 229 | } |
| 230 | } |
| 231 | |
| 232 | private: |
| 233 | void import_input_file_range_one_product_size( |
| 234 | const vector<inputfile_entry_t>::const_iterator& begin, |
| 235 | const vector<inputfile_entry_t>::const_iterator& end) |
| 236 | { |
| 237 | uint16_t product_size = begin->product_size; |
| 238 | float max_gflops = 0.0f; |
| 239 | for (auto it = begin; it != end; ++it) { |
| 240 | if (it->product_size != product_size) { |
| 241 | cerr << "Unexpected ordering of entries in " << filename << endl; |
| 242 | cerr << "(Expected all entries for product size " << hex << product_size << dec << " to be grouped)" << endl; |
| 243 | exit(1); |
| 244 | } |
| 245 | max_gflops = max(max_gflops, it->gflops); |
| 246 | } |
| 247 | for (auto it = begin; it != end; ++it) { |
| 248 | preprocessed_inputfile_entry_t entry; |
| 249 | entry.product_size = it->product_size; |
| 250 | entry.block_size = it->pot_block_size; |
| 251 | entry.efficiency = it->gflops / max_gflops; |
| 252 | entries.push_back(entry); |
| 253 | } |
| 254 | } |
| 255 | }; |
| 256 | |
| 257 | void check_all_files_in_same_exact_order( |
| 258 | const vector<preprocessed_inputfile_t>& preprocessed_inputfiles) |
| 259 | { |
| 260 | if (preprocessed_inputfiles.empty()) { |
| 261 | return; |
| 262 | } |
| 263 | |
| 264 | const preprocessed_inputfile_t& first_file = preprocessed_inputfiles[0]; |
| 265 | const size_t num_entries = first_file.entries.size(); |
| 266 | |
| 267 | for (size_t i = 0; i < preprocessed_inputfiles.size(); i++) { |
| 268 | if (preprocessed_inputfiles[i].entries.size() != num_entries) { |
| 269 | cerr << "these files have different number of entries: " |
| 270 | << preprocessed_inputfiles[i].filename |
| 271 | << " and " |
| 272 | << first_file.filename |
| 273 | << endl; |
| 274 | exit(1); |
| 275 | } |
| 276 | } |
| 277 | |
| 278 | for (size_t entry_index = 0; entry_index < num_entries; entry_index++) { |
| 279 | const uint16_t entry_product_size = first_file.entries[entry_index].product_size; |
| 280 | const uint16_t entry_block_size = first_file.entries[entry_index].block_size; |
| 281 | for (size_t file_index = 0; file_index < preprocessed_inputfiles.size(); file_index++) { |
| 282 | const preprocessed_inputfile_t& cur_file = preprocessed_inputfiles[file_index]; |
| 283 | if (cur_file.entries[entry_index].product_size != entry_product_size || |
| 284 | cur_file.entries[entry_index].block_size != entry_block_size) |
| 285 | { |
| 286 | cerr << "entries not in same order between these files: " |
| 287 | << first_file.filename |
| 288 | << " and " |
| 289 | << cur_file.filename |
| 290 | << endl; |
| 291 | exit(1); |
| 292 | } |
| 293 | } |
| 294 | } |
| 295 | } |
| 296 | |
| 297 | float efficiency_of_subset( |
| 298 | const vector<preprocessed_inputfile_t>& preprocessed_inputfiles, |
| 299 | const vector<size_t>& subset) |
| 300 | { |
| 301 | if (subset.size() <= 1) { |
| 302 | return 1.0f; |
| 303 | } |
| 304 | const preprocessed_inputfile_t& first_file = preprocessed_inputfiles[subset[0]]; |
| 305 | const size_t num_entries = first_file.entries.size(); |
| 306 | float efficiency = 1.0f; |
| 307 | size_t entry_index = 0; |
| 308 | size_t first_entry_index_with_this_product_size = 0; |
| 309 | uint16_t product_size = first_file.entries[0].product_size; |
| 310 | while (entry_index < num_entries) { |
| 311 | ++entry_index; |
| 312 | if (entry_index == num_entries || |
| 313 | first_file.entries[entry_index].product_size != product_size) |
| 314 | { |
| 315 | float efficiency_this_product_size = 0.0f; |
| 316 | for (size_t e = first_entry_index_with_this_product_size; e < entry_index; e++) { |
| 317 | float efficiency_this_entry = 1.0f; |
| 318 | for (auto i = subset.begin(); i != subset.end(); ++i) { |
| 319 | efficiency_this_entry = min(efficiency_this_entry, preprocessed_inputfiles[*i].entries[e].efficiency); |
| 320 | } |
| 321 | efficiency_this_product_size = max(efficiency_this_product_size, efficiency_this_entry); |
| 322 | } |
| 323 | efficiency = min(efficiency, efficiency_this_product_size); |
| 324 | if (entry_index < num_entries) { |
| 325 | first_entry_index_with_this_product_size = entry_index; |
| 326 | product_size = first_file.entries[entry_index].product_size; |
| 327 | } |
| 328 | } |
| 329 | } |
| 330 | |
| 331 | return efficiency; |
| 332 | } |
| 333 | |
| 334 | void dump_table_for_subset( |
| 335 | const vector<preprocessed_inputfile_t>& preprocessed_inputfiles, |
| 336 | const vector<size_t>& subset) |
| 337 | { |
| 338 | const preprocessed_inputfile_t& first_file = preprocessed_inputfiles[subset[0]]; |
| 339 | const size_t num_entries = first_file.entries.size(); |
| 340 | size_t entry_index = 0; |
| 341 | size_t first_entry_index_with_this_product_size = 0; |
| 342 | uint16_t product_size = first_file.entries[0].product_size; |
| 343 | size_t i = 0; |
| 344 | size_triple_t min_product_size(first_file.entries.front().product_size); |
| 345 | size_triple_t max_product_size(first_file.entries.back().product_size); |
| 346 | if (!min_product_size.is_cubic() || !max_product_size.is_cubic()) { |
| 347 | abort(); |
| 348 | } |
| 349 | if (only_cubic_sizes) { |
| 350 | cerr << "Can't generate tables with --only-cubic-sizes." << endl; |
| 351 | abort(); |
| 352 | } |
| 353 | cout << "struct LookupTable {" << endl; |
| 354 | cout << " static const size_t BaseSize = " << min_product_size.k << ";" << endl; |
| 355 | const size_t NumSizes = log2_pot(max_product_size.k / min_product_size.k) + 1; |
| 356 | const size_t TableSize = NumSizes * NumSizes * NumSizes; |
| 357 | cout << " static const size_t NumSizes = " << NumSizes << ";" << endl; |
| 358 | cout << " static const unsigned short* Data() {" << endl; |
| 359 | cout << " static const unsigned short data[" << TableSize << "] = {"; |
| 360 | while (entry_index < num_entries) { |
| 361 | ++entry_index; |
| 362 | if (entry_index == num_entries || |
| 363 | first_file.entries[entry_index].product_size != product_size) |
| 364 | { |
| 365 | float best_efficiency_this_product_size = 0.0f; |
| 366 | uint16_t best_block_size_this_product_size = 0; |
| 367 | for (size_t e = first_entry_index_with_this_product_size; e < entry_index; e++) { |
| 368 | float efficiency_this_entry = 1.0f; |
| 369 | for (auto i = subset.begin(); i != subset.end(); ++i) { |
| 370 | efficiency_this_entry = min(efficiency_this_entry, preprocessed_inputfiles[*i].entries[e].efficiency); |
| 371 | } |
| 372 | if (efficiency_this_entry > best_efficiency_this_product_size) { |
| 373 | best_efficiency_this_product_size = efficiency_this_entry; |
| 374 | best_block_size_this_product_size = first_file.entries[e].block_size; |
| 375 | } |
| 376 | } |
| 377 | if ((i++) % NumSizes) { |
| 378 | cout << " "; |
| 379 | } else { |
| 380 | cout << endl << " "; |
| 381 | } |
| 382 | cout << "0x" << hex << best_block_size_this_product_size << dec; |
| 383 | if (entry_index < num_entries) { |
| 384 | cout << ","; |
| 385 | first_entry_index_with_this_product_size = entry_index; |
| 386 | product_size = first_file.entries[entry_index].product_size; |
| 387 | } |
| 388 | } |
| 389 | } |
| 390 | if (i != TableSize) { |
| 391 | cerr << endl << "Wrote " << i << " table entries, expected " << TableSize << endl; |
| 392 | abort(); |
| 393 | } |
| 394 | cout << endl << " };" << endl; |
| 395 | cout << " return data;" << endl; |
| 396 | cout << " }" << endl; |
| 397 | cout << "};" << endl; |
| 398 | } |
| 399 | |
| 400 | float efficiency_of_partition( |
| 401 | const vector<preprocessed_inputfile_t>& preprocessed_inputfiles, |
| 402 | const vector<vector<size_t>>& partition) |
| 403 | { |
| 404 | float efficiency = 1.0f; |
| 405 | for (auto s = partition.begin(); s != partition.end(); ++s) { |
| 406 | efficiency = min(efficiency, efficiency_of_subset(preprocessed_inputfiles, *s)); |
| 407 | } |
| 408 | return efficiency; |
| 409 | } |
| 410 | |
| 411 | void make_first_subset(size_t subset_size, vector<size_t>& out_subset, size_t set_size) |
| 412 | { |
| 413 | assert(subset_size >= 1 && subset_size <= set_size); |
| 414 | out_subset.resize(subset_size); |
| 415 | for (size_t i = 0; i < subset_size; i++) { |
| 416 | out_subset[i] = i; |
| 417 | } |
| 418 | } |
| 419 | |
| 420 | bool is_last_subset(const vector<size_t>& subset, size_t set_size) |
| 421 | { |
| 422 | return subset[0] == set_size - subset.size(); |
| 423 | } |
| 424 | |
| 425 | void next_subset(vector<size_t>& inout_subset, size_t set_size) |
| 426 | { |
| 427 | if (is_last_subset(inout_subset, set_size)) { |
| 428 | cerr << "iterating past the last subset" << endl; |
| 429 | abort(); |
| 430 | } |
| 431 | size_t i = 1; |
| 432 | while (inout_subset[inout_subset.size() - i] == set_size - i) { |
| 433 | i++; |
| 434 | assert(i <= inout_subset.size()); |
| 435 | } |
| 436 | size_t first_index_to_change = inout_subset.size() - i; |
| 437 | inout_subset[first_index_to_change]++; |
| 438 | size_t p = inout_subset[first_index_to_change]; |
| 439 | for (size_t j = first_index_to_change + 1; j < inout_subset.size(); j++) { |
| 440 | inout_subset[j] = ++p; |
| 441 | } |
| 442 | } |
| 443 | |
| 444 | const size_t number_of_subsets_limit = 100; |
| 445 | const size_t always_search_subsets_of_size_at_least = 2; |
| 446 | |
| 447 | bool is_number_of_subsets_feasible(size_t n, size_t p) |
| 448 | { |
| 449 | assert(n>0 && p>0 && p<=n); |
| 450 | uint64_t numerator = 1, denominator = 1; |
| 451 | for (size_t i = 0; i < p; i++) { |
| 452 | numerator *= n - i; |
| 453 | denominator *= i + 1; |
| 454 | if (numerator > denominator * number_of_subsets_limit) { |
| 455 | return false; |
| 456 | } |
| 457 | } |
| 458 | return true; |
| 459 | } |
| 460 | |
| 461 | size_t max_feasible_subset_size(size_t n) |
| 462 | { |
| 463 | assert(n > 0); |
| 464 | const size_t minresult = min<size_t>(n-1, always_search_subsets_of_size_at_least); |
| 465 | for (size_t p = 1; p <= n - 1; p++) { |
| 466 | if (!is_number_of_subsets_feasible(n, p+1)) { |
| 467 | return max(p, minresult); |
| 468 | } |
| 469 | } |
| 470 | return n - 1; |
| 471 | } |
| 472 | |
| 473 | void find_subset_with_efficiency_higher_than( |
| 474 | const vector<preprocessed_inputfile_t>& preprocessed_inputfiles, |
| 475 | float required_efficiency_to_beat, |
| 476 | vector<size_t>& inout_remainder, |
| 477 | vector<size_t>& out_subset) |
| 478 | { |
| 479 | out_subset.resize(0); |
| 480 | |
| 481 | if (required_efficiency_to_beat >= 1.0f) { |
| 482 | cerr << "can't beat efficiency 1." << endl; |
| 483 | abort(); |
| 484 | } |
| 485 | |
| 486 | while (!inout_remainder.empty()) { |
| 487 | |
| 488 | vector<size_t> candidate_indices(inout_remainder.size()); |
| 489 | for (size_t i = 0; i < candidate_indices.size(); i++) { |
| 490 | candidate_indices[i] = i; |
| 491 | } |
| 492 | |
| 493 | size_t candidate_indices_subset_size = max_feasible_subset_size(candidate_indices.size()); |
| 494 | while (candidate_indices_subset_size >= 1) { |
| 495 | vector<size_t> candidate_indices_subset; |
| 496 | make_first_subset(candidate_indices_subset_size, |
| 497 | candidate_indices_subset, |
| 498 | candidate_indices.size()); |
| 499 | |
| 500 | vector<size_t> best_candidate_indices_subset; |
| 501 | float best_efficiency = 0.0f; |
| 502 | vector<size_t> trial_subset = out_subset; |
| 503 | trial_subset.resize(out_subset.size() + candidate_indices_subset_size); |
| 504 | while (true) |
| 505 | { |
| 506 | for (size_t i = 0; i < candidate_indices_subset_size; i++) { |
| 507 | trial_subset[out_subset.size() + i] = inout_remainder[candidate_indices_subset[i]]; |
| 508 | } |
| 509 | |
| 510 | float trial_efficiency = efficiency_of_subset(preprocessed_inputfiles, trial_subset); |
| 511 | if (trial_efficiency > best_efficiency) { |
| 512 | best_efficiency = trial_efficiency; |
| 513 | best_candidate_indices_subset = candidate_indices_subset; |
| 514 | } |
| 515 | if (is_last_subset(candidate_indices_subset, candidate_indices.size())) { |
| 516 | break; |
| 517 | } |
| 518 | next_subset(candidate_indices_subset, candidate_indices.size()); |
| 519 | } |
| 520 | |
| 521 | if (best_efficiency > required_efficiency_to_beat) { |
| 522 | for (size_t i = 0; i < best_candidate_indices_subset.size(); i++) { |
| 523 | candidate_indices[i] = candidate_indices[best_candidate_indices_subset[i]]; |
| 524 | } |
| 525 | candidate_indices.resize(best_candidate_indices_subset.size()); |
| 526 | } |
| 527 | candidate_indices_subset_size--; |
| 528 | } |
| 529 | |
| 530 | size_t candidate_index = candidate_indices[0]; |
| 531 | auto candidate_iterator = inout_remainder.begin() + candidate_index; |
| 532 | vector<size_t> trial_subset = out_subset; |
| 533 | |
| 534 | trial_subset.push_back(*candidate_iterator); |
| 535 | float trial_efficiency = efficiency_of_subset(preprocessed_inputfiles, trial_subset); |
| 536 | if (trial_efficiency > required_efficiency_to_beat) { |
| 537 | out_subset.push_back(*candidate_iterator); |
| 538 | inout_remainder.erase(candidate_iterator); |
| 539 | } else { |
| 540 | break; |
| 541 | } |
| 542 | } |
| 543 | } |
| 544 | |
| 545 | void find_partition_with_efficiency_higher_than( |
| 546 | const vector<preprocessed_inputfile_t>& preprocessed_inputfiles, |
| 547 | float required_efficiency_to_beat, |
| 548 | vector<vector<size_t>>& out_partition) |
| 549 | { |
| 550 | out_partition.resize(0); |
| 551 | |
| 552 | vector<size_t> remainder; |
| 553 | for (size_t i = 0; i < preprocessed_inputfiles.size(); i++) { |
| 554 | remainder.push_back(i); |
| 555 | } |
| 556 | |
| 557 | while (!remainder.empty()) { |
| 558 | vector<size_t> new_subset; |
| 559 | find_subset_with_efficiency_higher_than( |
| 560 | preprocessed_inputfiles, |
| 561 | required_efficiency_to_beat, |
| 562 | remainder, |
| 563 | new_subset); |
| 564 | out_partition.push_back(new_subset); |
| 565 | } |
| 566 | } |
| 567 | |
| 568 | void print_partition( |
| 569 | const vector<preprocessed_inputfile_t>& preprocessed_inputfiles, |
| 570 | const vector<vector<size_t>>& partition) |
| 571 | { |
| 572 | float efficiency = efficiency_of_partition(preprocessed_inputfiles, partition); |
| 573 | cout << "Partition into " << partition.size() << " subsets for " << efficiency * 100.0f << "% efficiency" << endl; |
| 574 | for (auto subset = partition.begin(); subset != partition.end(); ++subset) { |
| 575 | cout << " Subset " << (subset - partition.begin()) |
| 576 | << ", efficiency " << efficiency_of_subset(preprocessed_inputfiles, *subset) * 100.0f << "%:" |
| 577 | << endl; |
| 578 | for (auto file = subset->begin(); file != subset->end(); ++file) { |
| 579 | cout << " " << preprocessed_inputfiles[*file].filename << endl; |
| 580 | } |
| 581 | if (dump_tables) { |
| 582 | cout << " Table:" << endl; |
| 583 | dump_table_for_subset(preprocessed_inputfiles, *subset); |
| 584 | } |
| 585 | } |
| 586 | cout << endl; |
| 587 | } |
| 588 | |
| 589 | struct action_t |
| 590 | { |
| 591 | virtual const char* invokation_name() const { abort(); return nullptr; } |
| 592 | virtual void run(const vector<string>&) const { abort(); } |
| 593 | virtual ~action_t() {} |
| 594 | }; |
| 595 | |
| 596 | struct partition_action_t : action_t |
| 597 | { |
| 598 | virtual const char* invokation_name() const override { return "partition"; } |
| 599 | virtual void run(const vector<string>& input_filenames) const override |
| 600 | { |
| 601 | vector<preprocessed_inputfile_t> preprocessed_inputfiles; |
| 602 | |
| 603 | if (input_filenames.empty()) { |
| 604 | cerr << "The " << invokation_name() << " action needs a list of input files." << endl; |
| 605 | exit(1); |
| 606 | } |
| 607 | |
| 608 | for (auto it = input_filenames.begin(); it != input_filenames.end(); ++it) { |
| 609 | inputfile_t inputfile(*it); |
| 610 | switch (inputfile.type) { |
| 611 | case inputfile_t::type_t::all_pot_sizes: |
| 612 | preprocessed_inputfiles.emplace_back(inputfile); |
| 613 | break; |
| 614 | case inputfile_t::type_t::default_sizes: |
| 615 | cerr << "The " << invokation_name() << " action only uses measurements for all pot sizes, and " |
| 616 | << "has no use for " << *it << " which contains measurements for default sizes." << endl; |
| 617 | exit(1); |
| 618 | break; |
| 619 | default: |
| 620 | cerr << "Unrecognized input file: " << *it << endl; |
| 621 | exit(1); |
| 622 | } |
| 623 | } |
| 624 | |
| 625 | check_all_files_in_same_exact_order(preprocessed_inputfiles); |
| 626 | |
| 627 | float required_efficiency_to_beat = 0.0f; |
| 628 | vector<vector<vector<size_t>>> partitions; |
| 629 | cerr << "searching for partitions...\r" << flush; |
| 630 | while (true) |
| 631 | { |
| 632 | vector<vector<size_t>> partition; |
| 633 | find_partition_with_efficiency_higher_than( |
| 634 | preprocessed_inputfiles, |
| 635 | required_efficiency_to_beat, |
| 636 | partition); |
| 637 | float actual_efficiency = efficiency_of_partition(preprocessed_inputfiles, partition); |
| 638 | cerr << "partition " << preprocessed_inputfiles.size() << " files into " << partition.size() |
| 639 | << " subsets for " << 100.0f * actual_efficiency |
| 640 | << " % efficiency" |
| 641 | << " \r" << flush; |
| 642 | partitions.push_back(partition); |
| 643 | if (partition.size() == preprocessed_inputfiles.size() || actual_efficiency == 1.0f) { |
| 644 | break; |
| 645 | } |
| 646 | required_efficiency_to_beat = actual_efficiency; |
| 647 | } |
| 648 | cerr << " " << endl; |
| 649 | while (true) { |
| 650 | bool repeat = false; |
| 651 | for (size_t i = 0; i < partitions.size() - 1; i++) { |
| 652 | if (partitions[i].size() >= partitions[i+1].size()) { |
| 653 | partitions.erase(partitions.begin() + i); |
| 654 | repeat = true; |
| 655 | break; |
| 656 | } |
| 657 | } |
| 658 | if (!repeat) { |
| 659 | break; |
| 660 | } |
| 661 | } |
| 662 | for (auto it = partitions.begin(); it != partitions.end(); ++it) { |
| 663 | print_partition(preprocessed_inputfiles, *it); |
| 664 | } |
| 665 | } |
| 666 | }; |
| 667 | |
| 668 | struct evaluate_defaults_action_t : action_t |
| 669 | { |
| 670 | struct results_entry_t { |
| 671 | uint16_t product_size; |
| 672 | size_triple_t default_block_size; |
| 673 | uint16_t best_pot_block_size; |
| 674 | float default_gflops; |
| 675 | float best_pot_gflops; |
| 676 | float default_efficiency; |
| 677 | }; |
| 678 | friend ostream& operator<<(ostream& s, const results_entry_t& entry) |
| 679 | { |
| 680 | return s |
| 681 | << "Product size " << size_triple_t(entry.product_size) |
| 682 | << ": default block size " << entry.default_block_size |
| 683 | << " -> " << entry.default_gflops |
| 684 | << " GFlop/s = " << entry.default_efficiency * 100.0f << " %" |
| 685 | << " of best POT block size " << size_triple_t(entry.best_pot_block_size) |
| 686 | << " -> " << entry.best_pot_gflops |
| 687 | << " GFlop/s" << dec; |
| 688 | } |
| 689 | static bool lower_efficiency(const results_entry_t& e1, const results_entry_t& e2) { |
| 690 | return e1.default_efficiency < e2.default_efficiency; |
| 691 | } |
| 692 | virtual const char* invokation_name() const override { return "evaluate-defaults"; } |
| 693 | void show_usage_and_exit() const |
| 694 | { |
| 695 | cerr << "usage: " << invokation_name() << " default-sizes-data all-pot-sizes-data" << endl; |
| 696 | cerr << "checks how well the performance with default sizes compares to the best " |
| 697 | << "performance measured over all POT sizes." << endl; |
| 698 | exit(1); |
| 699 | } |
| 700 | virtual void run(const vector<string>& input_filenames) const override |
| 701 | { |
| 702 | if (input_filenames.size() != 2) { |
| 703 | show_usage_and_exit(); |
| 704 | } |
| 705 | inputfile_t inputfile_default_sizes(input_filenames[0]); |
| 706 | inputfile_t inputfile_all_pot_sizes(input_filenames[1]); |
| 707 | if (inputfile_default_sizes.type != inputfile_t::type_t::default_sizes) { |
| 708 | cerr << inputfile_default_sizes.filename << " is not an input file with default sizes." << endl; |
| 709 | show_usage_and_exit(); |
| 710 | } |
| 711 | if (inputfile_all_pot_sizes.type != inputfile_t::type_t::all_pot_sizes) { |
| 712 | cerr << inputfile_all_pot_sizes.filename << " is not an input file with all POT sizes." << endl; |
| 713 | show_usage_and_exit(); |
| 714 | } |
| 715 | vector<results_entry_t> results; |
| 716 | vector<results_entry_t> cubic_results; |
| 717 | |
| 718 | uint16_t product_size = 0; |
| 719 | auto it_all_pot_sizes = inputfile_all_pot_sizes.entries.begin(); |
| 720 | for (auto it_default_sizes = inputfile_default_sizes.entries.begin(); |
| 721 | it_default_sizes != inputfile_default_sizes.entries.end(); |
| 722 | ++it_default_sizes) |
| 723 | { |
| 724 | if (it_default_sizes->product_size == product_size) { |
| 725 | continue; |
| 726 | } |
| 727 | product_size = it_default_sizes->product_size; |
| 728 | while (it_all_pot_sizes != inputfile_all_pot_sizes.entries.end() && |
| 729 | it_all_pot_sizes->product_size != product_size) |
| 730 | { |
| 731 | ++it_all_pot_sizes; |
| 732 | } |
| 733 | if (it_all_pot_sizes == inputfile_all_pot_sizes.entries.end()) { |
| 734 | break; |
| 735 | } |
| 736 | uint16_t best_pot_block_size = 0; |
| 737 | float best_pot_gflops = 0; |
| 738 | for (auto it = it_all_pot_sizes; |
| 739 | it != inputfile_all_pot_sizes.entries.end() && it->product_size == product_size; |
| 740 | ++it) |
| 741 | { |
| 742 | if (it->gflops > best_pot_gflops) { |
| 743 | best_pot_gflops = it->gflops; |
| 744 | best_pot_block_size = it->pot_block_size; |
| 745 | } |
| 746 | } |
| 747 | results_entry_t entry; |
| 748 | entry.product_size = product_size; |
| 749 | entry.default_block_size = it_default_sizes->nonpot_block_size; |
| 750 | entry.best_pot_block_size = best_pot_block_size; |
| 751 | entry.default_gflops = it_default_sizes->gflops; |
| 752 | entry.best_pot_gflops = best_pot_gflops; |
| 753 | entry.default_efficiency = entry.default_gflops / entry.best_pot_gflops; |
| 754 | results.push_back(entry); |
| 755 | |
| 756 | size_triple_t t(product_size); |
| 757 | if (t.k == t.m && t.m == t.n) { |
| 758 | cubic_results.push_back(entry); |
| 759 | } |
| 760 | } |
| 761 | |
| 762 | cout << "All results:" << endl; |
| 763 | for (auto it = results.begin(); it != results.end(); ++it) { |
| 764 | cout << *it << endl; |
| 765 | } |
| 766 | cout << endl; |
| 767 | |
| 768 | sort(results.begin(), results.end(), lower_efficiency); |
| 769 | |
| 770 | const size_t n = min<size_t>(20, results.size()); |
| 771 | cout << n << " worst results:" << endl; |
| 772 | for (size_t i = 0; i < n; i++) { |
| 773 | cout << results[i] << endl; |
| 774 | } |
| 775 | cout << endl; |
| 776 | |
| 777 | cout << "cubic results:" << endl; |
| 778 | for (auto it = cubic_results.begin(); it != cubic_results.end(); ++it) { |
| 779 | cout << *it << endl; |
| 780 | } |
| 781 | cout << endl; |
| 782 | |
| 783 | sort(cubic_results.begin(), cubic_results.end(), lower_efficiency); |
| 784 | |
| 785 | cout.precision(2); |
| 786 | vector<float> a = {0.5f, 0.20f, 0.10f, 0.05f, 0.02f, 0.01f}; |
| 787 | for (auto it = a.begin(); it != a.end(); ++it) { |
| 788 | size_t n = min(results.size() - 1, size_t(*it * results.size())); |
| 789 | cout << (100.0f * n / (results.size() - 1)) |
| 790 | << " % of product sizes have default efficiency <= " |
| 791 | << 100.0f * results[n].default_efficiency << " %" << endl; |
| 792 | } |
| 793 | cout.precision(default_precision); |
| 794 | } |
| 795 | }; |
| 796 | |
| 797 | |
| 798 | void show_usage_and_exit(int argc, char* argv[], |
| 799 | const vector<unique_ptr<action_t>>& available_actions) |
| 800 | { |
| 801 | cerr << "usage: " << argv[0] << " <action> [options...] <input files...>" << endl; |
| 802 | cerr << "available actions:" << endl; |
| 803 | for (auto it = available_actions.begin(); it != available_actions.end(); ++it) { |
| 804 | cerr << " " << (*it)->invokation_name() << endl; |
| 805 | } |
| 806 | cerr << "the input files should each contain an output of benchmark-blocking-sizes" << endl; |
| 807 | exit(1); |
| 808 | } |
| 809 | |
| 810 | int main(int argc, char* argv[]) |
| 811 | { |
| 812 | cout.precision(default_precision); |
| 813 | cerr.precision(default_precision); |
| 814 | |
| 815 | vector<unique_ptr<action_t>> available_actions; |
| 816 | available_actions.emplace_back(new partition_action_t); |
| 817 | available_actions.emplace_back(new evaluate_defaults_action_t); |
| 818 | |
| 819 | vector<string> input_filenames; |
| 820 | |
| 821 | action_t* action = nullptr; |
| 822 | |
| 823 | if (argc < 2) { |
| 824 | show_usage_and_exit(argc, argv, available_actions); |
| 825 | } |
| 826 | for (int i = 1; i < argc; i++) { |
| 827 | bool arg_handled = false; |
| 828 | // Step 1. Try to match action invokation names. |
| 829 | for (auto it = available_actions.begin(); it != available_actions.end(); ++it) { |
| 830 | if (!strcmp(argv[i], (*it)->invokation_name())) { |
| 831 | if (!action) { |
| 832 | action = it->get(); |
| 833 | arg_handled = true; |
| 834 | break; |
| 835 | } else { |
| 836 | cerr << "can't specify more than one action!" << endl; |
| 837 | show_usage_and_exit(argc, argv, available_actions); |
| 838 | } |
| 839 | } |
| 840 | } |
| 841 | if (arg_handled) { |
| 842 | continue; |
| 843 | } |
| 844 | // Step 2. Try to match option names. |
| 845 | if (argv[i][0] == '-') { |
| 846 | if (!strcmp(argv[i], "--only-cubic-sizes")) { |
| 847 | only_cubic_sizes = true; |
| 848 | arg_handled = true; |
| 849 | } |
| 850 | if (!strcmp(argv[i], "--dump-tables")) { |
| 851 | dump_tables = true; |
| 852 | arg_handled = true; |
| 853 | } |
| 854 | if (!arg_handled) { |
| 855 | cerr << "Unrecognized option: " << argv[i] << endl; |
| 856 | show_usage_and_exit(argc, argv, available_actions); |
| 857 | } |
| 858 | } |
| 859 | if (arg_handled) { |
| 860 | continue; |
| 861 | } |
| 862 | // Step 3. Default to interpreting args as input filenames. |
| 863 | input_filenames.emplace_back(argv[i]); |
| 864 | } |
| 865 | |
| 866 | if (dump_tables && only_cubic_sizes) { |
| 867 | cerr << "Incompatible options: --only-cubic-sizes and --dump-tables." << endl; |
| 868 | show_usage_and_exit(argc, argv, available_actions); |
| 869 | } |
| 870 | |
| 871 | if (!action) { |
| 872 | show_usage_and_exit(argc, argv, available_actions); |
| 873 | } |
| 874 | |
| 875 | action->run(input_filenames); |
| 876 | } |