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test_math_functions.cpp
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test_math_functions.cpp
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// Copyright 2014 BVLC and contributors.
#include <stdint.h> // for uint32_t & uint64_t
#include <time.h>
#include <climits>
#include <cmath> // for std::fabs
#include <cstdlib> // for rand_r
#include "gtest/gtest.h"
#include "caffe/blob.hpp"
#include "caffe/common.hpp"
#include "caffe/filler.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/test/test_caffe_main.hpp"
namespace caffe {
template<typename Dtype>
class MathFunctionsTest : public ::testing::Test {
protected:
MathFunctionsTest()
: blob_bottom_(new Blob<Dtype>()),
blob_top_(new Blob<Dtype>()) {
}
virtual void SetUp() {
Caffe::set_random_seed(1701);
this->blob_bottom_->Reshape(11, 17, 19, 23);
this->blob_top_->Reshape(11, 17, 19, 23);
// fill the values
FillerParameter filler_param;
GaussianFiller<Dtype> filler(filler_param);
filler.Fill(this->blob_bottom_);
filler.Fill(this->blob_top_);
}
virtual ~MathFunctionsTest() {
delete blob_bottom_;
delete blob_top_;
}
// http://en.wikipedia.org/wiki/Hamming_distance
int ReferenceHammingDistance(const int n, const Dtype* x, const Dtype* y) {
int dist = 0;
uint64_t val;
for (int i = 0; i < n; ++i) {
if (sizeof(Dtype) == 8) {
val = static_cast<uint64_t>(x[i]) ^ static_cast<uint64_t>(y[i]);
} else if (sizeof(Dtype) == 4) {
val = static_cast<uint32_t>(x[i]) ^ static_cast<uint32_t>(y[i]);
} else {
LOG(FATAL) << "Unrecognized Dtype size: " << sizeof(Dtype);
}
// Count the number of set bits
while (val) {
++dist;
val &= val - 1;
}
}
return dist;
}
Blob<Dtype>* const blob_bottom_;
Blob<Dtype>* const blob_top_;
};
typedef ::testing::Types<float, double> Dtypes;
TYPED_TEST_CASE(MathFunctionsTest, Dtypes);
TYPED_TEST(MathFunctionsTest, TestNothing) {
// The first test case of a test suite takes the longest time
// due to the set up overhead.
}
TYPED_TEST(MathFunctionsTest, TestHammingDistanceCPU) {
int n = this->blob_bottom_->count();
const TypeParam* x = this->blob_bottom_->cpu_data();
const TypeParam* y = this->blob_top_->cpu_data();
EXPECT_EQ(this->ReferenceHammingDistance(n, x, y),
caffe_cpu_hamming_distance<TypeParam>(n, x, y));
}
// TODO: Fix caffe_gpu_hamming_distance and re-enable this test.
TYPED_TEST(MathFunctionsTest, DISABLED_TestHammingDistanceGPU) {
int n = this->blob_bottom_->count();
const TypeParam* x = this->blob_bottom_->cpu_data();
const TypeParam* y = this->blob_top_->cpu_data();
int reference_distance = this->ReferenceHammingDistance(n, x, y);
x = this->blob_bottom_->gpu_data();
y = this->blob_top_->gpu_data();
int computed_distance = caffe_gpu_hamming_distance<TypeParam>(n, x, y);
EXPECT_EQ(reference_distance, computed_distance);
}
TYPED_TEST(MathFunctionsTest, TestAsumCPU) {
int n = this->blob_bottom_->count();
const TypeParam* x = this->blob_bottom_->cpu_data();
TypeParam std_asum = 0;
for (int i = 0; i < n; ++i) {
std_asum += std::fabs(x[i]);
}
TypeParam cpu_asum = caffe_cpu_asum<TypeParam>(n, x);
EXPECT_LT((cpu_asum - std_asum) / std_asum, 1e-2);
}
TYPED_TEST(MathFunctionsTest, TestAsumGPU) {
int n = this->blob_bottom_->count();
const TypeParam* x = this->blob_bottom_->cpu_data();
TypeParam std_asum = 0;
for (int i = 0; i < n; ++i) {
std_asum += std::fabs(x[i]);
}
TypeParam gpu_asum;
caffe_gpu_asum<TypeParam>(n, this->blob_bottom_->gpu_data(), &gpu_asum);
EXPECT_LT((gpu_asum - std_asum) / std_asum, 1e-2);
}
TYPED_TEST(MathFunctionsTest, TestSignCPU) {
int n = this->blob_bottom_->count();
const TypeParam* x = this->blob_bottom_->cpu_data();
caffe_cpu_sign<TypeParam>(n, x, this->blob_bottom_->mutable_cpu_diff());
const TypeParam* signs = this->blob_bottom_->cpu_diff();
for (int i = 0; i < n; ++i) {
EXPECT_EQ(signs[i], x[i] > 0 ? 1 : (x[i] < 0 ? -1 : 0));
}
}
TYPED_TEST(MathFunctionsTest, TestSignGPU) {
int n = this->blob_bottom_->count();
caffe_gpu_sign<TypeParam>(n, this->blob_bottom_->gpu_data(),
this->blob_bottom_->mutable_gpu_diff());
const TypeParam* signs = this->blob_bottom_->cpu_diff();
const TypeParam* x = this->blob_bottom_->cpu_data();
for (int i = 0; i < n; ++i) {
EXPECT_EQ(signs[i], x[i] > 0 ? 1 : (x[i] < 0 ? -1 : 0));
}
}
TYPED_TEST(MathFunctionsTest, TestSgnbitCPU) {
int n = this->blob_bottom_->count();
const TypeParam* x = this->blob_bottom_->cpu_data();
caffe_cpu_sgnbit<TypeParam>(n, x, this->blob_bottom_->mutable_cpu_diff());
const TypeParam* signbits = this->blob_bottom_->cpu_diff();
for (int i = 0; i < n; ++i) {
EXPECT_EQ(signbits[i], x[i] < 0 ? 1 : 0);
}
}
TYPED_TEST(MathFunctionsTest, TestSgnbitGPU) {
int n = this->blob_bottom_->count();
caffe_gpu_sgnbit<TypeParam>(n, this->blob_bottom_->gpu_data(),
this->blob_bottom_->mutable_gpu_diff());
const TypeParam* signbits = this->blob_bottom_->cpu_diff();
const TypeParam* x = this->blob_bottom_->cpu_data();
for (int i = 0; i < n; ++i) {
EXPECT_EQ(signbits[i], x[i] < 0 ? 1 : 0);
}
}
TYPED_TEST(MathFunctionsTest, TestFabsCPU) {
int n = this->blob_bottom_->count();
const TypeParam* x = this->blob_bottom_->cpu_data();
caffe_cpu_fabs<TypeParam>(n, x, this->blob_bottom_->mutable_cpu_diff());
const TypeParam* abs_val = this->blob_bottom_->cpu_diff();
for (int i = 0; i < n; ++i) {
EXPECT_EQ(abs_val[i], x[i] > 0 ? x[i] : -x[i]);
}
}
TYPED_TEST(MathFunctionsTest, TestFabsGPU) {
int n = this->blob_bottom_->count();
caffe_gpu_fabs<TypeParam>(n, this->blob_bottom_->gpu_data(),
this->blob_bottom_->mutable_gpu_diff());
const TypeParam* abs_val = this->blob_bottom_->cpu_diff();
const TypeParam* x = this->blob_bottom_->cpu_data();
for (int i = 0; i < n; ++i) {
EXPECT_EQ(abs_val[i], x[i] > 0 ? x[i] : -x[i]);
}
}
TYPED_TEST(MathFunctionsTest, TestScaleCPU) {
int n = this->blob_bottom_->count();
TypeParam alpha = this->blob_bottom_->cpu_diff()[caffe_rng_rand() %
this->blob_bottom_->count()];
caffe_cpu_scale<TypeParam>(n, alpha, this->blob_bottom_->cpu_data(),
this->blob_bottom_->mutable_cpu_diff());
const TypeParam* scaled = this->blob_bottom_->cpu_diff();
const TypeParam* x = this->blob_bottom_->cpu_data();
for (int i = 0; i < n; ++i) {
EXPECT_EQ(scaled[i], x[i] * alpha);
}
}
TYPED_TEST(MathFunctionsTest, TestScaleGPU) {
int n = this->blob_bottom_->count();
TypeParam alpha = this->blob_bottom_->cpu_diff()[caffe_rng_rand() %
this->blob_bottom_->count()];
caffe_gpu_scale<TypeParam>(n, alpha, this->blob_bottom_->gpu_data(),
this->blob_bottom_->mutable_gpu_diff());
const TypeParam* scaled = this->blob_bottom_->cpu_diff();
const TypeParam* x = this->blob_bottom_->cpu_data();
for (int i = 0; i < n; ++i) {
EXPECT_EQ(scaled[i], x[i] * alpha);
}
}
TYPED_TEST(MathFunctionsTest, TestCopyCPU) {
const int n = this->blob_bottom_->count();
const TypeParam* bottom_data = this->blob_bottom_->cpu_data();
TypeParam* top_data = this->blob_top_->mutable_cpu_data();
caffe_copy(n, bottom_data, top_data);
for (int i = 0; i < n; ++i) {
EXPECT_EQ(bottom_data[i], top_data[i]);
}
}
TYPED_TEST(MathFunctionsTest, TestCopyGPU) {
const int n = this->blob_bottom_->count();
const TypeParam* bottom_data = this->blob_bottom_->gpu_data();
TypeParam* top_data = this->blob_top_->mutable_gpu_data();
caffe_gpu_copy(n, bottom_data, top_data);
bottom_data = this->blob_bottom_->cpu_data();
top_data = this->blob_top_->mutable_cpu_data();
for (int i = 0; i < n; ++i) {
EXPECT_EQ(bottom_data[i], top_data[i]);
}
}
} // namespace caffe