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876 lines
28 KiB
876 lines
28 KiB
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2015 Benoit Jacob <benoitjacob@google.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include <iostream>
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#include <cstdint>
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#include <cstdlib>
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#include <vector>
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#include <algorithm>
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#include <fstream>
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#include <string>
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#include <cmath>
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#include <cassert>
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#include <cstring>
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#include <memory>
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#include <StormEigen/Core>
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using namespace std;
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const int default_precision = 4;
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// see --only-cubic-sizes
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bool only_cubic_sizes = false;
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// see --dump-tables
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bool dump_tables = false;
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uint8_t log2_pot(size_t x) {
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size_t l = 0;
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while (x >>= 1) l++;
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return l;
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}
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uint16_t compact_size_triple(size_t k, size_t m, size_t n)
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{
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return (log2_pot(k) << 8) | (log2_pot(m) << 4) | log2_pot(n);
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}
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// just a helper to store a triple of K,M,N sizes for matrix product
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struct size_triple_t
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{
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uint16_t k, m, n;
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size_triple_t() : k(0), m(0), n(0) {}
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size_triple_t(size_t _k, size_t _m, size_t _n) : k(_k), m(_m), n(_n) {}
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size_triple_t(const size_triple_t& o) : k(o.k), m(o.m), n(o.n) {}
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size_triple_t(uint16_t compact)
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{
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k = 1 << ((compact & 0xf00) >> 8);
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m = 1 << ((compact & 0x0f0) >> 4);
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n = 1 << ((compact & 0x00f) >> 0);
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}
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bool is_cubic() const { return k == m && m == n; }
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};
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ostream& operator<<(ostream& s, const size_triple_t& t)
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{
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return s << "(" << t.k << ", " << t.m << ", " << t.n << ")";
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}
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struct inputfile_entry_t
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{
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uint16_t product_size;
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uint16_t pot_block_size;
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size_triple_t nonpot_block_size;
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float gflops;
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};
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struct inputfile_t
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{
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enum class type_t {
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unknown,
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all_pot_sizes,
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default_sizes
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};
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string filename;
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vector<inputfile_entry_t> entries;
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type_t type;
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inputfile_t(const string& fname)
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: filename(fname)
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, type(type_t::unknown)
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{
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ifstream stream(filename);
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if (!stream.is_open()) {
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cerr << "couldn't open input file: " << filename << endl;
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exit(1);
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}
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string line;
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while (getline(stream, line)) {
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if (line.empty()) continue;
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if (line.find("BEGIN MEASUREMENTS ALL POT SIZES") == 0) {
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if (type != type_t::unknown) {
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cerr << "Input file " << filename << " contains redundant BEGIN MEASUREMENTS lines";
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exit(1);
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}
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type = type_t::all_pot_sizes;
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continue;
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}
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if (line.find("BEGIN MEASUREMENTS DEFAULT SIZES") == 0) {
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if (type != type_t::unknown) {
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cerr << "Input file " << filename << " contains redundant BEGIN MEASUREMENTS lines";
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exit(1);
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}
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type = type_t::default_sizes;
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continue;
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}
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if (type == type_t::unknown) {
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continue;
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}
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switch(type) {
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case type_t::all_pot_sizes: {
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unsigned int product_size, block_size;
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float gflops;
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int sscanf_result =
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sscanf(line.c_str(), "%x %x %f",
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&product_size,
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&block_size,
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&gflops);
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if (3 != sscanf_result ||
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!product_size ||
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product_size > 0xfff ||
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!block_size ||
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block_size > 0xfff ||
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!isfinite(gflops))
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{
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cerr << "ill-formed input file: " << filename << endl;
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cerr << "offending line:" << endl << line << endl;
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exit(1);
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}
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if (only_cubic_sizes && !size_triple_t(product_size).is_cubic()) {
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continue;
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}
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inputfile_entry_t entry;
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entry.product_size = uint16_t(product_size);
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entry.pot_block_size = uint16_t(block_size);
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entry.gflops = gflops;
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entries.push_back(entry);
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break;
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}
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case type_t::default_sizes: {
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unsigned int product_size;
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float gflops;
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int bk, bm, bn;
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int sscanf_result =
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sscanf(line.c_str(), "%x default(%d, %d, %d) %f",
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&product_size,
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&bk, &bm, &bn,
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&gflops);
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if (5 != sscanf_result ||
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!product_size ||
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product_size > 0xfff ||
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!isfinite(gflops))
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{
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cerr << "ill-formed input file: " << filename << endl;
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cerr << "offending line:" << endl << line << endl;
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exit(1);
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}
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if (only_cubic_sizes && !size_triple_t(product_size).is_cubic()) {
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continue;
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}
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inputfile_entry_t entry;
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entry.product_size = uint16_t(product_size);
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entry.pot_block_size = 0;
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entry.nonpot_block_size = size_triple_t(bk, bm, bn);
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entry.gflops = gflops;
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entries.push_back(entry);
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break;
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}
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default:
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break;
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}
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}
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stream.close();
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if (type == type_t::unknown) {
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cerr << "Unrecognized input file " << filename << endl;
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exit(1);
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}
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if (entries.empty()) {
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cerr << "didn't find any measurements in input file: " << filename << endl;
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exit(1);
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}
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}
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};
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struct preprocessed_inputfile_entry_t
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{
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uint16_t product_size;
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uint16_t block_size;
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float efficiency;
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};
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bool lower_efficiency(const preprocessed_inputfile_entry_t& e1, const preprocessed_inputfile_entry_t& e2)
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{
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return e1.efficiency < e2.efficiency;
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}
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struct preprocessed_inputfile_t
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{
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string filename;
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vector<preprocessed_inputfile_entry_t> entries;
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preprocessed_inputfile_t(const inputfile_t& inputfile)
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: filename(inputfile.filename)
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{
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if (inputfile.type != inputfile_t::type_t::all_pot_sizes) {
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abort();
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}
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auto it = inputfile.entries.begin();
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auto it_first_with_given_product_size = it;
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while (it != inputfile.entries.end()) {
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++it;
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if (it == inputfile.entries.end() ||
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it->product_size != it_first_with_given_product_size->product_size)
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{
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import_input_file_range_one_product_size(it_first_with_given_product_size, it);
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it_first_with_given_product_size = it;
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}
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}
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}
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private:
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void import_input_file_range_one_product_size(
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const vector<inputfile_entry_t>::const_iterator& begin,
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const vector<inputfile_entry_t>::const_iterator& end)
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{
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uint16_t product_size = begin->product_size;
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float max_gflops = 0.0f;
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for (auto it = begin; it != end; ++it) {
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if (it->product_size != product_size) {
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cerr << "Unexpected ordering of entries in " << filename << endl;
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cerr << "(Expected all entries for product size " << hex << product_size << dec << " to be grouped)" << endl;
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exit(1);
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}
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max_gflops = max(max_gflops, it->gflops);
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}
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for (auto it = begin; it != end; ++it) {
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preprocessed_inputfile_entry_t entry;
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entry.product_size = it->product_size;
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entry.block_size = it->pot_block_size;
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entry.efficiency = it->gflops / max_gflops;
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entries.push_back(entry);
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}
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}
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};
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void check_all_files_in_same_exact_order(
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const vector<preprocessed_inputfile_t>& preprocessed_inputfiles)
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{
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if (preprocessed_inputfiles.empty()) {
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return;
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}
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const preprocessed_inputfile_t& first_file = preprocessed_inputfiles[0];
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const size_t num_entries = first_file.entries.size();
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for (size_t i = 0; i < preprocessed_inputfiles.size(); i++) {
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if (preprocessed_inputfiles[i].entries.size() != num_entries) {
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cerr << "these files have different number of entries: "
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<< preprocessed_inputfiles[i].filename
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<< " and "
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<< first_file.filename
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<< endl;
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exit(1);
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}
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}
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for (size_t entry_index = 0; entry_index < num_entries; entry_index++) {
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const uint16_t entry_product_size = first_file.entries[entry_index].product_size;
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const uint16_t entry_block_size = first_file.entries[entry_index].block_size;
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for (size_t file_index = 0; file_index < preprocessed_inputfiles.size(); file_index++) {
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const preprocessed_inputfile_t& cur_file = preprocessed_inputfiles[file_index];
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if (cur_file.entries[entry_index].product_size != entry_product_size ||
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cur_file.entries[entry_index].block_size != entry_block_size)
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{
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cerr << "entries not in same order between these files: "
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<< first_file.filename
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<< " and "
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<< cur_file.filename
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<< endl;
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exit(1);
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}
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}
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}
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}
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float efficiency_of_subset(
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const vector<preprocessed_inputfile_t>& preprocessed_inputfiles,
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const vector<size_t>& subset)
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{
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if (subset.size() <= 1) {
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return 1.0f;
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}
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const preprocessed_inputfile_t& first_file = preprocessed_inputfiles[subset[0]];
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const size_t num_entries = first_file.entries.size();
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float efficiency = 1.0f;
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size_t entry_index = 0;
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size_t first_entry_index_with_this_product_size = 0;
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uint16_t product_size = first_file.entries[0].product_size;
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while (entry_index < num_entries) {
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++entry_index;
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if (entry_index == num_entries ||
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first_file.entries[entry_index].product_size != product_size)
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{
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float efficiency_this_product_size = 0.0f;
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for (size_t e = first_entry_index_with_this_product_size; e < entry_index; e++) {
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float efficiency_this_entry = 1.0f;
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for (auto i = subset.begin(); i != subset.end(); ++i) {
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efficiency_this_entry = min(efficiency_this_entry, preprocessed_inputfiles[*i].entries[e].efficiency);
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}
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efficiency_this_product_size = max(efficiency_this_product_size, efficiency_this_entry);
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}
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efficiency = min(efficiency, efficiency_this_product_size);
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if (entry_index < num_entries) {
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first_entry_index_with_this_product_size = entry_index;
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product_size = first_file.entries[entry_index].product_size;
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}
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}
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}
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return efficiency;
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}
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void dump_table_for_subset(
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const vector<preprocessed_inputfile_t>& preprocessed_inputfiles,
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const vector<size_t>& subset)
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{
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const preprocessed_inputfile_t& first_file = preprocessed_inputfiles[subset[0]];
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const size_t num_entries = first_file.entries.size();
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size_t entry_index = 0;
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size_t first_entry_index_with_this_product_size = 0;
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uint16_t product_size = first_file.entries[0].product_size;
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size_t i = 0;
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size_triple_t min_product_size(first_file.entries.front().product_size);
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size_triple_t max_product_size(first_file.entries.back().product_size);
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if (!min_product_size.is_cubic() || !max_product_size.is_cubic()) {
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abort();
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}
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if (only_cubic_sizes) {
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cerr << "Can't generate tables with --only-cubic-sizes." << endl;
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abort();
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}
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cout << "struct LookupTable {" << endl;
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cout << " static const size_t BaseSize = " << min_product_size.k << ";" << endl;
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const size_t NumSizes = log2_pot(max_product_size.k / min_product_size.k) + 1;
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const size_t TableSize = NumSizes * NumSizes * NumSizes;
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cout << " static const size_t NumSizes = " << NumSizes << ";" << endl;
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cout << " static const unsigned short* Data() {" << endl;
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cout << " static const unsigned short data[" << TableSize << "] = {";
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while (entry_index < num_entries) {
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++entry_index;
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if (entry_index == num_entries ||
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first_file.entries[entry_index].product_size != product_size)
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{
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float best_efficiency_this_product_size = 0.0f;
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uint16_t best_block_size_this_product_size = 0;
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for (size_t e = first_entry_index_with_this_product_size; e < entry_index; e++) {
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float efficiency_this_entry = 1.0f;
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for (auto i = subset.begin(); i != subset.end(); ++i) {
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efficiency_this_entry = min(efficiency_this_entry, preprocessed_inputfiles[*i].entries[e].efficiency);
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}
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if (efficiency_this_entry > best_efficiency_this_product_size) {
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best_efficiency_this_product_size = efficiency_this_entry;
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best_block_size_this_product_size = first_file.entries[e].block_size;
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}
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}
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if ((i++) % NumSizes) {
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cout << " ";
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} else {
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cout << endl << " ";
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}
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cout << "0x" << hex << best_block_size_this_product_size << dec;
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if (entry_index < num_entries) {
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cout << ",";
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first_entry_index_with_this_product_size = entry_index;
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product_size = first_file.entries[entry_index].product_size;
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}
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}
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}
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if (i != TableSize) {
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cerr << endl << "Wrote " << i << " table entries, expected " << TableSize << endl;
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abort();
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}
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cout << endl << " };" << endl;
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cout << " return data;" << endl;
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cout << " }" << endl;
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cout << "};" << endl;
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}
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float efficiency_of_partition(
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const vector<preprocessed_inputfile_t>& preprocessed_inputfiles,
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const vector<vector<size_t>>& partition)
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{
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float efficiency = 1.0f;
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for (auto s = partition.begin(); s != partition.end(); ++s) {
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efficiency = min(efficiency, efficiency_of_subset(preprocessed_inputfiles, *s));
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}
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return efficiency;
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}
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void make_first_subset(size_t subset_size, vector<size_t>& out_subset, size_t set_size)
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{
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assert(subset_size >= 1 && subset_size <= set_size);
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out_subset.resize(subset_size);
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for (size_t i = 0; i < subset_size; i++) {
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out_subset[i] = i;
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}
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}
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bool is_last_subset(const vector<size_t>& subset, size_t set_size)
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{
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return subset[0] == set_size - subset.size();
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}
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void next_subset(vector<size_t>& inout_subset, size_t set_size)
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{
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if (is_last_subset(inout_subset, set_size)) {
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cerr << "iterating past the last subset" << endl;
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abort();
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}
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size_t i = 1;
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while (inout_subset[inout_subset.size() - i] == set_size - i) {
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i++;
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assert(i <= inout_subset.size());
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}
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size_t first_index_to_change = inout_subset.size() - i;
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inout_subset[first_index_to_change]++;
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size_t p = inout_subset[first_index_to_change];
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for (size_t j = first_index_to_change + 1; j < inout_subset.size(); j++) {
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inout_subset[j] = ++p;
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}
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}
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const size_t number_of_subsets_limit = 100;
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const size_t always_search_subsets_of_size_at_least = 2;
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bool is_number_of_subsets_feasible(size_t n, size_t p)
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{
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assert(n>0 && p>0 && p<=n);
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uint64_t numerator = 1, denominator = 1;
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for (size_t i = 0; i < p; i++) {
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numerator *= n - i;
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denominator *= i + 1;
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if (numerator > denominator * number_of_subsets_limit) {
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return false;
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}
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}
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return true;
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}
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size_t max_feasible_subset_size(size_t n)
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{
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assert(n > 0);
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const size_t minresult = min<size_t>(n-1, always_search_subsets_of_size_at_least);
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for (size_t p = 1; p <= n - 1; p++) {
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if (!is_number_of_subsets_feasible(n, p+1)) {
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return max(p, minresult);
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}
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}
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return n - 1;
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}
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void find_subset_with_efficiency_higher_than(
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const vector<preprocessed_inputfile_t>& preprocessed_inputfiles,
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float required_efficiency_to_beat,
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vector<size_t>& inout_remainder,
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vector<size_t>& out_subset)
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{
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out_subset.resize(0);
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if (required_efficiency_to_beat >= 1.0f) {
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cerr << "can't beat efficiency 1." << endl;
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abort();
|
|
}
|
|
|
|
while (!inout_remainder.empty()) {
|
|
|
|
vector<size_t> candidate_indices(inout_remainder.size());
|
|
for (size_t i = 0; i < candidate_indices.size(); i++) {
|
|
candidate_indices[i] = i;
|
|
}
|
|
|
|
size_t candidate_indices_subset_size = max_feasible_subset_size(candidate_indices.size());
|
|
while (candidate_indices_subset_size >= 1) {
|
|
vector<size_t> candidate_indices_subset;
|
|
make_first_subset(candidate_indices_subset_size,
|
|
candidate_indices_subset,
|
|
candidate_indices.size());
|
|
|
|
vector<size_t> best_candidate_indices_subset;
|
|
float best_efficiency = 0.0f;
|
|
vector<size_t> trial_subset = out_subset;
|
|
trial_subset.resize(out_subset.size() + candidate_indices_subset_size);
|
|
while (true)
|
|
{
|
|
for (size_t i = 0; i < candidate_indices_subset_size; i++) {
|
|
trial_subset[out_subset.size() + i] = inout_remainder[candidate_indices_subset[i]];
|
|
}
|
|
|
|
float trial_efficiency = efficiency_of_subset(preprocessed_inputfiles, trial_subset);
|
|
if (trial_efficiency > best_efficiency) {
|
|
best_efficiency = trial_efficiency;
|
|
best_candidate_indices_subset = candidate_indices_subset;
|
|
}
|
|
if (is_last_subset(candidate_indices_subset, candidate_indices.size())) {
|
|
break;
|
|
}
|
|
next_subset(candidate_indices_subset, candidate_indices.size());
|
|
}
|
|
|
|
if (best_efficiency > required_efficiency_to_beat) {
|
|
for (size_t i = 0; i < best_candidate_indices_subset.size(); i++) {
|
|
candidate_indices[i] = candidate_indices[best_candidate_indices_subset[i]];
|
|
}
|
|
candidate_indices.resize(best_candidate_indices_subset.size());
|
|
}
|
|
candidate_indices_subset_size--;
|
|
}
|
|
|
|
size_t candidate_index = candidate_indices[0];
|
|
auto candidate_iterator = inout_remainder.begin() + candidate_index;
|
|
vector<size_t> trial_subset = out_subset;
|
|
|
|
trial_subset.push_back(*candidate_iterator);
|
|
float trial_efficiency = efficiency_of_subset(preprocessed_inputfiles, trial_subset);
|
|
if (trial_efficiency > required_efficiency_to_beat) {
|
|
out_subset.push_back(*candidate_iterator);
|
|
inout_remainder.erase(candidate_iterator);
|
|
} else {
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
void find_partition_with_efficiency_higher_than(
|
|
const vector<preprocessed_inputfile_t>& preprocessed_inputfiles,
|
|
float required_efficiency_to_beat,
|
|
vector<vector<size_t>>& out_partition)
|
|
{
|
|
out_partition.resize(0);
|
|
|
|
vector<size_t> remainder;
|
|
for (size_t i = 0; i < preprocessed_inputfiles.size(); i++) {
|
|
remainder.push_back(i);
|
|
}
|
|
|
|
while (!remainder.empty()) {
|
|
vector<size_t> new_subset;
|
|
find_subset_with_efficiency_higher_than(
|
|
preprocessed_inputfiles,
|
|
required_efficiency_to_beat,
|
|
remainder,
|
|
new_subset);
|
|
out_partition.push_back(new_subset);
|
|
}
|
|
}
|
|
|
|
void print_partition(
|
|
const vector<preprocessed_inputfile_t>& preprocessed_inputfiles,
|
|
const vector<vector<size_t>>& partition)
|
|
{
|
|
float efficiency = efficiency_of_partition(preprocessed_inputfiles, partition);
|
|
cout << "Partition into " << partition.size() << " subsets for " << efficiency * 100.0f << "% efficiency" << endl;
|
|
for (auto subset = partition.begin(); subset != partition.end(); ++subset) {
|
|
cout << " Subset " << (subset - partition.begin())
|
|
<< ", efficiency " << efficiency_of_subset(preprocessed_inputfiles, *subset) * 100.0f << "%:"
|
|
<< endl;
|
|
for (auto file = subset->begin(); file != subset->end(); ++file) {
|
|
cout << " " << preprocessed_inputfiles[*file].filename << endl;
|
|
}
|
|
if (dump_tables) {
|
|
cout << " Table:" << endl;
|
|
dump_table_for_subset(preprocessed_inputfiles, *subset);
|
|
}
|
|
}
|
|
cout << endl;
|
|
}
|
|
|
|
struct action_t
|
|
{
|
|
virtual const char* invokation_name() const { abort(); return nullptr; }
|
|
virtual void run(const vector<string>&) const { abort(); }
|
|
virtual ~action_t() {}
|
|
};
|
|
|
|
struct partition_action_t : action_t
|
|
{
|
|
virtual const char* invokation_name() const override { return "partition"; }
|
|
virtual void run(const vector<string>& input_filenames) const override
|
|
{
|
|
vector<preprocessed_inputfile_t> preprocessed_inputfiles;
|
|
|
|
if (input_filenames.empty()) {
|
|
cerr << "The " << invokation_name() << " action needs a list of input files." << endl;
|
|
exit(1);
|
|
}
|
|
|
|
for (auto it = input_filenames.begin(); it != input_filenames.end(); ++it) {
|
|
inputfile_t inputfile(*it);
|
|
switch (inputfile.type) {
|
|
case inputfile_t::type_t::all_pot_sizes:
|
|
preprocessed_inputfiles.emplace_back(inputfile);
|
|
break;
|
|
case inputfile_t::type_t::default_sizes:
|
|
cerr << "The " << invokation_name() << " action only uses measurements for all pot sizes, and "
|
|
<< "has no use for " << *it << " which contains measurements for default sizes." << endl;
|
|
exit(1);
|
|
break;
|
|
default:
|
|
cerr << "Unrecognized input file: " << *it << endl;
|
|
exit(1);
|
|
}
|
|
}
|
|
|
|
check_all_files_in_same_exact_order(preprocessed_inputfiles);
|
|
|
|
float required_efficiency_to_beat = 0.0f;
|
|
vector<vector<vector<size_t>>> partitions;
|
|
cerr << "searching for partitions...\r" << flush;
|
|
while (true)
|
|
{
|
|
vector<vector<size_t>> partition;
|
|
find_partition_with_efficiency_higher_than(
|
|
preprocessed_inputfiles,
|
|
required_efficiency_to_beat,
|
|
partition);
|
|
float actual_efficiency = efficiency_of_partition(preprocessed_inputfiles, partition);
|
|
cerr << "partition " << preprocessed_inputfiles.size() << " files into " << partition.size()
|
|
<< " subsets for " << 100.0f * actual_efficiency
|
|
<< " % efficiency"
|
|
<< " \r" << flush;
|
|
partitions.push_back(partition);
|
|
if (partition.size() == preprocessed_inputfiles.size() || actual_efficiency == 1.0f) {
|
|
break;
|
|
}
|
|
required_efficiency_to_beat = actual_efficiency;
|
|
}
|
|
cerr << " " << endl;
|
|
while (true) {
|
|
bool repeat = false;
|
|
for (size_t i = 0; i < partitions.size() - 1; i++) {
|
|
if (partitions[i].size() >= partitions[i+1].size()) {
|
|
partitions.erase(partitions.begin() + i);
|
|
repeat = true;
|
|
break;
|
|
}
|
|
}
|
|
if (!repeat) {
|
|
break;
|
|
}
|
|
}
|
|
for (auto it = partitions.begin(); it != partitions.end(); ++it) {
|
|
print_partition(preprocessed_inputfiles, *it);
|
|
}
|
|
}
|
|
};
|
|
|
|
struct evaluate_defaults_action_t : action_t
|
|
{
|
|
struct results_entry_t {
|
|
uint16_t product_size;
|
|
size_triple_t default_block_size;
|
|
uint16_t best_pot_block_size;
|
|
float default_gflops;
|
|
float best_pot_gflops;
|
|
float default_efficiency;
|
|
};
|
|
friend ostream& operator<<(ostream& s, const results_entry_t& entry)
|
|
{
|
|
return s
|
|
<< "Product size " << size_triple_t(entry.product_size)
|
|
<< ": default block size " << entry.default_block_size
|
|
<< " -> " << entry.default_gflops
|
|
<< " GFlop/s = " << entry.default_efficiency * 100.0f << " %"
|
|
<< " of best POT block size " << size_triple_t(entry.best_pot_block_size)
|
|
<< " -> " << entry.best_pot_gflops
|
|
<< " GFlop/s" << dec;
|
|
}
|
|
static bool lower_efficiency(const results_entry_t& e1, const results_entry_t& e2) {
|
|
return e1.default_efficiency < e2.default_efficiency;
|
|
}
|
|
virtual const char* invokation_name() const override { return "evaluate-defaults"; }
|
|
void show_usage_and_exit() const
|
|
{
|
|
cerr << "usage: " << invokation_name() << " default-sizes-data all-pot-sizes-data" << endl;
|
|
cerr << "checks how well the performance with default sizes compares to the best "
|
|
<< "performance measured over all POT sizes." << endl;
|
|
exit(1);
|
|
}
|
|
virtual void run(const vector<string>& input_filenames) const override
|
|
{
|
|
if (input_filenames.size() != 2) {
|
|
show_usage_and_exit();
|
|
}
|
|
inputfile_t inputfile_default_sizes(input_filenames[0]);
|
|
inputfile_t inputfile_all_pot_sizes(input_filenames[1]);
|
|
if (inputfile_default_sizes.type != inputfile_t::type_t::default_sizes) {
|
|
cerr << inputfile_default_sizes.filename << " is not an input file with default sizes." << endl;
|
|
show_usage_and_exit();
|
|
}
|
|
if (inputfile_all_pot_sizes.type != inputfile_t::type_t::all_pot_sizes) {
|
|
cerr << inputfile_all_pot_sizes.filename << " is not an input file with all POT sizes." << endl;
|
|
show_usage_and_exit();
|
|
}
|
|
vector<results_entry_t> results;
|
|
vector<results_entry_t> cubic_results;
|
|
|
|
uint16_t product_size = 0;
|
|
auto it_all_pot_sizes = inputfile_all_pot_sizes.entries.begin();
|
|
for (auto it_default_sizes = inputfile_default_sizes.entries.begin();
|
|
it_default_sizes != inputfile_default_sizes.entries.end();
|
|
++it_default_sizes)
|
|
{
|
|
if (it_default_sizes->product_size == product_size) {
|
|
continue;
|
|
}
|
|
product_size = it_default_sizes->product_size;
|
|
while (it_all_pot_sizes != inputfile_all_pot_sizes.entries.end() &&
|
|
it_all_pot_sizes->product_size != product_size)
|
|
{
|
|
++it_all_pot_sizes;
|
|
}
|
|
if (it_all_pot_sizes == inputfile_all_pot_sizes.entries.end()) {
|
|
break;
|
|
}
|
|
uint16_t best_pot_block_size = 0;
|
|
float best_pot_gflops = 0;
|
|
for (auto it = it_all_pot_sizes;
|
|
it != inputfile_all_pot_sizes.entries.end() && it->product_size == product_size;
|
|
++it)
|
|
{
|
|
if (it->gflops > best_pot_gflops) {
|
|
best_pot_gflops = it->gflops;
|
|
best_pot_block_size = it->pot_block_size;
|
|
}
|
|
}
|
|
results_entry_t entry;
|
|
entry.product_size = product_size;
|
|
entry.default_block_size = it_default_sizes->nonpot_block_size;
|
|
entry.best_pot_block_size = best_pot_block_size;
|
|
entry.default_gflops = it_default_sizes->gflops;
|
|
entry.best_pot_gflops = best_pot_gflops;
|
|
entry.default_efficiency = entry.default_gflops / entry.best_pot_gflops;
|
|
results.push_back(entry);
|
|
|
|
size_triple_t t(product_size);
|
|
if (t.k == t.m && t.m == t.n) {
|
|
cubic_results.push_back(entry);
|
|
}
|
|
}
|
|
|
|
cout << "All results:" << endl;
|
|
for (auto it = results.begin(); it != results.end(); ++it) {
|
|
cout << *it << endl;
|
|
}
|
|
cout << endl;
|
|
|
|
sort(results.begin(), results.end(), lower_efficiency);
|
|
|
|
const size_t n = min<size_t>(20, results.size());
|
|
cout << n << " worst results:" << endl;
|
|
for (size_t i = 0; i < n; i++) {
|
|
cout << results[i] << endl;
|
|
}
|
|
cout << endl;
|
|
|
|
cout << "cubic results:" << endl;
|
|
for (auto it = cubic_results.begin(); it != cubic_results.end(); ++it) {
|
|
cout << *it << endl;
|
|
}
|
|
cout << endl;
|
|
|
|
sort(cubic_results.begin(), cubic_results.end(), lower_efficiency);
|
|
|
|
cout.precision(2);
|
|
vector<float> a = {0.5f, 0.20f, 0.10f, 0.05f, 0.02f, 0.01f};
|
|
for (auto it = a.begin(); it != a.end(); ++it) {
|
|
size_t n = min(results.size() - 1, size_t(*it * results.size()));
|
|
cout << (100.0f * n / (results.size() - 1))
|
|
<< " % of product sizes have default efficiency <= "
|
|
<< 100.0f * results[n].default_efficiency << " %" << endl;
|
|
}
|
|
cout.precision(default_precision);
|
|
}
|
|
};
|
|
|
|
|
|
void show_usage_and_exit(int argc, char* argv[],
|
|
const vector<unique_ptr<action_t>>& available_actions)
|
|
{
|
|
cerr << "usage: " << argv[0] << " <action> [options...] <input files...>" << endl;
|
|
cerr << "available actions:" << endl;
|
|
for (auto it = available_actions.begin(); it != available_actions.end(); ++it) {
|
|
cerr << " " << (*it)->invokation_name() << endl;
|
|
}
|
|
cerr << "the input files should each contain an output of benchmark-blocking-sizes" << endl;
|
|
exit(1);
|
|
}
|
|
|
|
int main(int argc, char* argv[])
|
|
{
|
|
cout.precision(default_precision);
|
|
cerr.precision(default_precision);
|
|
|
|
vector<unique_ptr<action_t>> available_actions;
|
|
available_actions.emplace_back(new partition_action_t);
|
|
available_actions.emplace_back(new evaluate_defaults_action_t);
|
|
|
|
vector<string> input_filenames;
|
|
|
|
action_t* action = nullptr;
|
|
|
|
if (argc < 2) {
|
|
show_usage_and_exit(argc, argv, available_actions);
|
|
}
|
|
for (int i = 1; i < argc; i++) {
|
|
bool arg_handled = false;
|
|
// Step 1. Try to match action invokation names.
|
|
for (auto it = available_actions.begin(); it != available_actions.end(); ++it) {
|
|
if (!strcmp(argv[i], (*it)->invokation_name())) {
|
|
if (!action) {
|
|
action = it->get();
|
|
arg_handled = true;
|
|
break;
|
|
} else {
|
|
cerr << "can't specify more than one action!" << endl;
|
|
show_usage_and_exit(argc, argv, available_actions);
|
|
}
|
|
}
|
|
}
|
|
if (arg_handled) {
|
|
continue;
|
|
}
|
|
// Step 2. Try to match option names.
|
|
if (argv[i][0] == '-') {
|
|
if (!strcmp(argv[i], "--only-cubic-sizes")) {
|
|
only_cubic_sizes = true;
|
|
arg_handled = true;
|
|
}
|
|
if (!strcmp(argv[i], "--dump-tables")) {
|
|
dump_tables = true;
|
|
arg_handled = true;
|
|
}
|
|
if (!arg_handled) {
|
|
cerr << "Unrecognized option: " << argv[i] << endl;
|
|
show_usage_and_exit(argc, argv, available_actions);
|
|
}
|
|
}
|
|
if (arg_handled) {
|
|
continue;
|
|
}
|
|
// Step 3. Default to interpreting args as input filenames.
|
|
input_filenames.emplace_back(argv[i]);
|
|
}
|
|
|
|
if (dump_tables && only_cubic_sizes) {
|
|
cerr << "Incompatible options: --only-cubic-sizes and --dump-tables." << endl;
|
|
show_usage_and_exit(argc, argv, available_actions);
|
|
}
|
|
|
|
if (!action) {
|
|
show_usage_and_exit(argc, argv, available_actions);
|
|
}
|
|
|
|
action->run(input_filenames);
|
|
}
|