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148 lines
4.0 KiB
C++
148 lines
4.0 KiB
C++
// 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) 2014-2015 Benoit Steiner <benoit.steiner.goog@gmail.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 "main.h"
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#include <Eigen/CXX11/Tensor>
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void test_signed_32bit()
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{
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// Divide by one
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const Eigen::internal::TensorIntDivisor<int32_t, false> div_by_one(1);
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for (int32_t j = 0; j < 25000; ++j) {
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const int32_t fast_div = j / div_by_one;
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const int32_t slow_div = j / 1;
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VERIFY_IS_EQUAL(fast_div, slow_div);
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}
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// Standard divide by 2 or more
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for (int32_t i = 2; i < 25000; ++i) {
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const Eigen::internal::TensorIntDivisor<int32_t, false> div(i);
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for (int32_t j = 0; j < 25000; ++j) {
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const int32_t fast_div = j / div;
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const int32_t slow_div = j / i;
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VERIFY_IS_EQUAL(fast_div, slow_div);
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}
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}
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// Optimized divide by 2 or more
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for (int32_t i = 2; i < 25000; ++i) {
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const Eigen::internal::TensorIntDivisor<int32_t, true> div(i);
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for (int32_t j = 0; j < 25000; ++j) {
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const int32_t fast_div = j / div;
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const int32_t slow_div = j / i;
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VERIFY_IS_EQUAL(fast_div, slow_div);
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}
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}
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}
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void test_unsigned_32bit()
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{
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for (uint32_t i = 1; i < 25000; ++i) {
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const Eigen::internal::TensorIntDivisor<uint32_t> div(i);
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for (uint32_t j = 0; j < 25000; ++j) {
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const uint32_t fast_div = j / div;
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const uint32_t slow_div = j / i;
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VERIFY_IS_EQUAL(fast_div, slow_div);
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}
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}
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}
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void test_signed_64bit()
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{
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for (int64_t i = 1; i < 25000; ++i) {
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const Eigen::internal::TensorIntDivisor<int64_t> div(i);
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for (int64_t j = 0; j < 25000; ++j) {
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const int64_t fast_div = j / div;
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const int64_t slow_div = j / i;
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VERIFY_IS_EQUAL(fast_div, slow_div);
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}
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}
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}
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void test_unsigned_64bit()
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{
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for (uint64_t i = 1; i < 25000; ++i) {
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const Eigen::internal::TensorIntDivisor<uint64_t> div(i);
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for (uint64_t j = 0; j < 25000; ++j) {
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const uint64_t fast_div = j / div;
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const uint64_t slow_div = j / i;
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VERIFY_IS_EQUAL(fast_div, slow_div);
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}
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}
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}
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void test_powers_32bit() {
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for (int expon = 1; expon < 31; expon++) {
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int32_t div = (1 << expon);
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for (int num_expon = 0; num_expon < 32; num_expon++) {
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int32_t start_num = (1 << num_expon) - 100;
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int32_t end_num = (1 << num_expon) + 100;
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if (start_num < 0)
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start_num = 0;
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for (int32_t num = start_num; num < end_num; num++) {
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Eigen::internal::TensorIntDivisor<int32_t> divider =
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Eigen::internal::TensorIntDivisor<int32_t>(div);
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int32_t result = num/div;
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int32_t result_op = divider.divide(num);
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VERIFY_IS_EQUAL(result_op, result);
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}
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}
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}
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}
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void test_powers_64bit() {
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for (int expon = 0; expon < 63; expon++) {
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int64_t div = (1ull << expon);
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for (int num_expon = 0; num_expon < 63; num_expon++) {
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int64_t start_num = (1ull << num_expon) - 10;
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int64_t end_num = (1ull << num_expon) + 10;
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if (start_num < 0)
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start_num = 0;
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for (int64_t num = start_num; num < end_num; num++) {
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Eigen::internal::TensorIntDivisor<int64_t> divider(div);
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int64_t result = num/div;
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int64_t result_op = divider.divide(num);
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VERIFY_IS_EQUAL(result_op, result);
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}
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}
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}
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}
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void test_specific() {
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// A particular combination that was previously failing
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int64_t div = 209715200;
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int64_t num = 3238002688;
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Eigen::internal::TensorIntDivisor<int64_t> divider(div);
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int64_t result = num/div;
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int64_t result_op = divider.divide(num);
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VERIFY_IS_EQUAL(result, result_op);
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}
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void test_cxx11_tensor_intdiv()
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{
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CALL_SUBTEST_1(test_signed_32bit());
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CALL_SUBTEST_2(test_unsigned_32bit());
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CALL_SUBTEST_3(test_signed_64bit());
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CALL_SUBTEST_4(test_unsigned_64bit());
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CALL_SUBTEST_5(test_powers_32bit());
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CALL_SUBTEST_6(test_powers_64bit());
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CALL_SUBTEST_7(test_specific());
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}
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