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/*******************************************************
* 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 <testHelpers.hpp>
using std::vector;
using std::string;
using af::cfloat;
using af::cdouble;
using af::dim4;
template<typename T>
class filter : public ::testing::Test
{
public:
virtual void SetUp() {}
};
// create a list of types to be tested
typedef ::testing::Types<float, double, cfloat, cdouble> TestTypes;
TYPED_TEST_CASE(filter, TestTypes);
template<typename T>
void firTest(const int xrows, const int xcols, const int brows, const int bcols)
{
if (noDoubleTests<T>()) return;
try {
af::dtype ty = (af::dtype)af::dtype_traits<T>::af_type;
af::array x = af::randu(xrows, xcols, ty);
af::array b = af::randu(brows, bcols, ty);
af::array y = af::fir(b, x);
af::array c = af::convolve1(x, b, AF_CONV_EXPAND);
const int ycols = xcols * bcols;
const int crows = xrows + brows - 1;
const int yrows = xrows;
vector<T> hy(yrows * ycols);
vector<T> hc(crows * ycols);
y.host(&hy[0]);
c.host(&hc[0]);
for (int j = 0; j < ycols; j++) {
for (int i = 0; i < yrows; i++) {
ASSERT_NEAR(real(hy[j * yrows + i]),
real(hc[j * crows + i]), 0.01);
}
}
} catch (af::exception &ex) {
FAIL() << ex.what();
}
}
TYPED_TEST(filter, firVecVec)
{
firTest<TypeParam>(10000, 1, 1000, 1);
}
TYPED_TEST(filter, firVecMat)
{
firTest<TypeParam>(10000, 1, 50, 10);
}
TYPED_TEST(filter, firMatVec)
{
firTest<TypeParam>(5000, 10, 100, 1);
}
TYPED_TEST(filter, firMatMat)
{
firTest<TypeParam>(5000, 10, 50, 10);
}
template<typename T>
void iirA0Test(const int xrows, const int xcols, const int brows, const int bcols)
{
if (noDoubleTests<T>()) return;
try {
af::dtype ty = (af::dtype)af::dtype_traits<T>::af_type;
af::array x = af::randu(xrows, xcols, ty);
af::array b = af::randu(brows, bcols, ty);
af::array a = af::randu( 1, bcols, ty);
af::array bNorm = b / tile(a, brows);
af::array y = af::iir(b, a, x);
af::array c = af::convolve1(x, bNorm, AF_CONV_EXPAND);
const int ycols = xcols * bcols;
const int crows = xrows + brows - 1;
const int yrows = xrows;
vector<T> hy(yrows * ycols);
vector<T> hc(crows * ycols);
y.host(&hy[0]);
c.host(&hc[0]);
for (int j = 0; j < ycols; j++) {
for (int i = 0; i < yrows; i++) {
ASSERT_NEAR(real(hy[j * yrows + i]),
real(hc[j * crows + i]), 0.01);
}
}
} catch (af::exception &ex) {
FAIL() << ex.what();
}
}
TYPED_TEST(filter, iirA0VecVec)
{
iirA0Test<TypeParam>(10000, 1, 1000, 1);
}
TYPED_TEST(filter, iirA0VecMat)
{
iirA0Test<TypeParam>(10000, 1, 50, 10);
}
TYPED_TEST(filter, iirA0MatVec)
{
iirA0Test<TypeParam>(5000, 10, 100, 1);
}
TYPED_TEST(filter, iirA0MatMat)
{
iirA0Test<TypeParam>(5000, 10, 50, 10);
}
template<typename T>
void iirTest(const char *testFile)
{
if (noDoubleTests<T>()) return;
vector<af::dim4> inDims;
vector<vector<T> > inputs;
vector<vector<T> > outputs;
readTests<T, T, float> (testFile, inDims, inputs, outputs);
try {
af::array a = af::array(inDims[0], &inputs[0][0]);
af::array b = af::array(inDims[1], &inputs[1][0]);
af::array x = af::array(inDims[2], &inputs[2][0]);
af::array y = af::iir(b, a, x);
std::vector<T> gold = outputs[0];
ASSERT_EQ(gold.size(), (size_t)y.elements());
std::vector<T> out(y.elements());
y.host(&out[0]);
for(size_t i = 0; i < gold.size(); i++) {
ASSERT_NEAR(real(out[i]), real(gold[i]), 0.01) << "at: " << i;
}
} catch (af::exception &ex) {
FAIL() << ex.what();
}
}
TYPED_TEST(filter, iirVecVec)
{
iirTest<TypeParam>(TEST_DIR"/iir/iir_vv.test");
}
TYPED_TEST(filter, iirVecMat)
{
iirTest<TypeParam>(TEST_DIR"/iir/iir_vm.test");
}
TYPED_TEST(filter, iirMatMat)
{
iirTest<TypeParam>(TEST_DIR"/iir/iir_mm.test");
}
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