histogram.cpp

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histogram.cpp
/*******************************************************
* Copyright (c) 2014, ArrayFire
* All rights reserved.
*
* This file is distributed under 3-clause BSD license.
* The complete license agreement can be obtained at:
* http://arrayfire.com/licenses/BSD-3-Clause
********************************************************/
#include <gtest/gtest.h>
#include <arrayfire.h>
#include <af/dim4.hpp>
#include <af/traits.hpp>
#include <string>
#include <vector>
#include <iostream>
#include <testHelpers.hpp>
using std::string;
using std::vector;
template<typename T>
class Histogram : public ::testing::Test
{
public:
virtual void SetUp() {}
};
// create a list of types to be tested
typedef ::testing::Types<float, double, int, uint, char, uchar, short, ushort, intl, uintl> TestTypes;
// register the type list
TYPED_TEST_CASE(Histogram, TestTypes);
template<typename inType, typename outType>
void histTest(string pTestFile, unsigned nbins, double minval, double maxval)
{
if (noDoubleTests<inType>()) return;
if (noDoubleTests<outType>()) return;
vector<af::dim4> numDims;
vector<vector<inType> > in;
vector<vector<outType> > tests;
readTests<inType,uint,int>(pTestFile,numDims,in,tests);
af::dim4 dims = numDims[0];
af_array outArray = 0;
af_array inArray = 0;
outType *outData;
ASSERT_EQ(AF_SUCCESS, af_create_array(&inArray, &(in[0].front()), dims.ndims(), dims.get(), (af_dtype) af::dtype_traits<inType>::af_type));
ASSERT_EQ(AF_SUCCESS, af_histogram(&outArray,inArray,nbins,minval,maxval));
outData = new outType[dims.elements()];
ASSERT_EQ(AF_SUCCESS, af_get_data_ptr((void*)outData, outArray));
for (size_t testIter=0; testIter<tests.size(); ++testIter) {
vector<outType> currGoldBar = tests[testIter];
size_t nElems = currGoldBar.size();
for (size_t elIter=0; elIter<nElems; ++elIter) {
ASSERT_EQ(currGoldBar[elIter],outData[elIter])<< "at: " << elIter<< std::endl;
}
}
// cleanup
delete[] outData;
ASSERT_EQ(AF_SUCCESS, af_release_array(inArray));
ASSERT_EQ(AF_SUCCESS, af_release_array(outArray));
}
TYPED_TEST(Histogram,256Bins0min255max_ones)
{
histTest<TypeParam,uint>(string(TEST_DIR"/histogram/256bin1min1max.test"),256,0,255);
}
TYPED_TEST(Histogram,100Bins0min99max)
{
histTest<TypeParam,uint>(string(TEST_DIR"/histogram/100bin0min99max.test"),100,0,99);
}
TYPED_TEST(Histogram,40Bins0min100max)
{
histTest<TypeParam,uint>(string(TEST_DIR"/histogram/40bin0min100max.test"),40,0,100);
}
TYPED_TEST(Histogram,40Bins0min100max_Batch)
{
histTest<TypeParam,uint>(string(TEST_DIR"/histogram/40bin0min100max_batch.test"),40,0,100);
}
TYPED_TEST(Histogram,256Bins0min255max_zeros)
{
histTest<TypeParam,uint>(string(TEST_DIR"/histogram/256bin0min0max.test"),256,0,255);
}
//
TEST(Histogram, CPP)
{
if (noDoubleTests<float>()) return;
if (noDoubleTests<int>()) return;
const unsigned nbins = 100;
const double minval = 0.0;
const double maxval = 99.0;
vector<af::dim4> numDims;
vector<vector<float> > in;
vector<vector<uint> > tests;
readTests<float,uint,int>(string(TEST_DIR"/histogram/100bin0min99max.test"),numDims,in,tests);
af::array input(numDims[0], &(in[0].front()));
af::array output = histogram(input, nbins, minval, maxval);
uint *outData = new uint[output. elements()];
output. host((void*)outData);
for (size_t testIter=0; testIter<tests.size(); ++testIter) {
vector<uint> currGoldBar = tests[testIter];
size_t nElems = currGoldBar.size();
for (size_t elIter=0; elIter<nElems; ++elIter) {
ASSERT_EQ(currGoldBar[elIter],outData[elIter])<< "at: " << elIter<< std::endl;
}
}
// cleanup
delete[] outData;
}
//
TEST(Histogram, SNIPPET_hist_nominmax)
{
using af::array;
using af::histogram;
using std::ostream_iterator;
using std::cout;
using std::endl;
unsigned output[] = {3, 1, 2, 0, 0, 0, 0, 1, 1, 1};
float input[] = {1, 2, 1, 1, 3, 6, 7, 8, 3};
int nbins = 10;
size_t nElems = sizeof(input)/sizeof(float);
array hist_in(nElems, input);
array hist_out = histogram(hist_in, nbins);
// hist_out = {3, 1, 2, 0, 0, 0, 0, 1, 1, 1}
vector<unsigned> h_out(nbins);
hist_out.host((void*)h_out.data());
if( false == equal(h_out.begin(), h_out.end(), output) ) {
cout << "Expected: ";
copy(output, output + nbins, ostream_iterator<unsigned>(cout, ", "));
cout << endl << "Actual: ";
copy(h_out.begin(), h_out.end(), ostream_iterator<unsigned>(cout, ", "));
FAIL() << "Output did not match";
}
}
TEST(Histogram, SNIPPET_hist_minmax)
{
using af::array;
using af::histogram;
using std::ostream_iterator;
using std::cout;
using std::endl;
unsigned output[] = {0, 3, 1, 2, 0, 0, 1, 1, 1, 0};
float input[] = {1, 2, 1, 1, 3, 6, 7, 8, 3};
int nbins = 10;
size_t nElems = sizeof(input)/sizeof(float);
array hist_in(nElems, input);
array hist_out = histogram(hist_in, nbins, 0, 9);
// hist_out = {0, 3, 1, 2, 0, 0, 1, 1, 1, 0}
vector<unsigned> h_out(nbins);
hist_out.host((void*)h_out.data());
if( false == equal(h_out.begin(), h_out.end(), output) ) {
cout << "Expected: ";
copy(output, output + nbins, ostream_iterator<unsigned>(cout, ", "));
cout << endl << "Actual: ";
copy(h_out.begin(), h_out.end(), ostream_iterator<unsigned>(cout, ", "));
FAIL() << "Output did not match";
}
}
TEST(Histogram, SNIPPET_histequal)
{
using af::array;
using af::histogram;
using std::ostream_iterator;
using std::cout;
using std::endl;
float output[] = { 1.5, 4.5, 1.5, 1.5, 4.5, 4.5, 6.0, 7.5, 4.5 };
float input[] = {1, 2, 1, 1, 3, 6, 7, 8, 3};
int nbins = 10;
size_t nElems = sizeof(input)/sizeof(float);
array hist_in(nElems, input);
array hist_out = histogram(hist_in, nbins);
// input after histogram equalization or normalization
// based on histogram provided
array eq_out = histEqual(hist_in, hist_out);
// eq_out = { 1.5, 4.5, 1.5, 1.5, 4.5, 4.5, 6.0, 7.5, 4.5 }
vector<float> h_out(nElems);
eq_out.host((void*)h_out.data());
if( false == equal(h_out.begin(), h_out.end(), output) ) {
cout << "Expected: ";
copy(output, output + nbins, ostream_iterator<float>(cout, ", "));
cout << endl << "Actual: ";
copy(h_out.begin(), h_out.end(), ostream_iterator<float>(cout, ", "));
FAIL() << "Output did not match";
}
}
TEST(histogram, GFOR)
{
using namespace af;
dim4 dims = dim4(100, 100, 3);
array A = round(100 * randu(dims));
array B = constant(0, 100, 1, 3);
gfor(seq ii, 3) {
B(span, span, ii) = histogram(A(span, span, ii), 100);
}
for(int ii = 0; ii < 3; ii++) {
array c_ii = histogram(A(span, span, ii), 100);
array b_ii = B(span, span, ii);
ASSERT_EQ(max<double>(abs(c_ii - b_ii)) < 1E-5, true);
}
}
TEST(histogram, IndexedArray)
{
using namespace af;
const dim_t LEN = 32;
array A = range(LEN, (dim_t)2);
for (int i=16; i<28; ++i) {
A(seq(i, i+3), span) = i/4 - 1;
}
array B = A(seq(20), span);
array C = histogram(B, 4);
unsigned out[4];
C.host((void*)out);
ASSERT_EQ(true, out[0] == 16);
ASSERT_EQ(true, out[1] == 8);
ASSERT_EQ(true, out[2] == 8);
ASSERT_EQ(true, out[3] == 8);
}