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115 lines
2.9 KiB
C++
115 lines
2.9 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 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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using Eigen::Tensor;
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static void test_simple_broadcasting()
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{
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Tensor<float, 4> tensor(2,3,5,7);
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tensor.setRandom();
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array<ptrdiff_t, 4> broadcasts;
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broadcasts[0] = 1;
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broadcasts[1] = 1;
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broadcasts[2] = 1;
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broadcasts[3] = 1;
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Tensor<float, 4> no_broadcast;
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no_broadcast = tensor.broadcast(broadcasts);
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VERIFY_IS_EQUAL(no_broadcast.dimension(0), 2);
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VERIFY_IS_EQUAL(no_broadcast.dimension(1), 3);
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VERIFY_IS_EQUAL(no_broadcast.dimension(2), 5);
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VERIFY_IS_EQUAL(no_broadcast.dimension(3), 7);
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for (int i = 0; i < 2; ++i) {
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for (int j = 0; j < 3; ++j) {
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for (int k = 0; k < 5; ++k) {
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for (int l = 0; l < 7; ++l) {
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VERIFY_IS_EQUAL(tensor(i,j,k,l), no_broadcast(i,j,k,l));
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}
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}
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}
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}
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broadcasts[0] = 2;
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broadcasts[1] = 3;
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broadcasts[2] = 1;
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broadcasts[3] = 4;
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Tensor<float, 4> broadcast;
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broadcast = tensor.broadcast(broadcasts);
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VERIFY_IS_EQUAL(broadcast.dimension(0), 4);
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VERIFY_IS_EQUAL(broadcast.dimension(1), 9);
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VERIFY_IS_EQUAL(broadcast.dimension(2), 5);
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VERIFY_IS_EQUAL(broadcast.dimension(3), 28);
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for (int i = 0; i < 4; ++i) {
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for (int j = 0; j < 9; ++j) {
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for (int k = 0; k < 5; ++k) {
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for (int l = 0; l < 28; ++l) {
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VERIFY_IS_EQUAL(tensor(i%2,j%3,k%5,l%7), broadcast(i,j,k,l));
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}
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}
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}
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}
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}
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static void test_vectorized_broadcasting()
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{
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Tensor<float, 3> tensor(8,3,5);
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tensor.setRandom();
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array<ptrdiff_t, 3> broadcasts;
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broadcasts[0] = 2;
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broadcasts[1] = 3;
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broadcasts[2] = 4;
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Tensor<float, 3> broadcast;
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broadcast = tensor.broadcast(broadcasts);
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VERIFY_IS_EQUAL(broadcast.dimension(0), 16);
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VERIFY_IS_EQUAL(broadcast.dimension(1), 9);
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VERIFY_IS_EQUAL(broadcast.dimension(2), 20);
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for (int i = 0; i < 16; ++i) {
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for (int j = 0; j < 9; ++j) {
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for (int k = 0; k < 20; ++k) {
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VERIFY_IS_EQUAL(tensor(i%8,j%3,k%5), broadcast(i,j,k));
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}
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}
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}
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tensor.resize(11,3,5);
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tensor.setRandom();
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broadcast = tensor.broadcast(broadcasts);
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VERIFY_IS_EQUAL(broadcast.dimension(0), 22);
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VERIFY_IS_EQUAL(broadcast.dimension(1), 9);
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VERIFY_IS_EQUAL(broadcast.dimension(2), 20);
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for (int i = 0; i < 22; ++i) {
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for (int j = 0; j < 9; ++j) {
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for (int k = 0; k < 20; ++k) {
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VERIFY_IS_EQUAL(tensor(i%11,j%3,k%5), broadcast(i,j,k));
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}
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}
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}
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}
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void test_cxx11_tensor_broadcasting()
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{
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CALL_SUBTEST(test_simple_broadcasting());
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CALL_SUBTEST(test_vectorized_broadcasting());
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}
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