CaffeOnACL/src/caffe/test/test_math_functions.cpp at master · rootkit/CaffeOnACL · GitHub

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#include <stdint.h> // for uint32_t & uint64_t

#include <time.h>

#include <cmath> // for std::fabs

#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 TypeParam>

class MathFunctionsTest : public MultiDeviceTest<TypeParam> {

typedef typename TypeParam::Dtype Dtype;

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_;

}

Blob<Dtype>* const blob_bottom_;

Blob<Dtype>* const blob_top_;

};

template <typename Dtype>

class CPUMathFunctionsTest

: public MathFunctionsTest<CPUDevice<Dtype> > {

};

TYPED_TEST_CASE(CPUMathFunctionsTest, TestDtypes);

TYPED_TEST(CPUMathFunctionsTest, TestNothing) {

// The first test case of a test suite takes the longest time

// due to the set up overhead.

}

TYPED_TEST(CPUMathFunctionsTest, TestAsum) {

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(CPUMathFunctionsTest, TestSign) {

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(CPUMathFunctionsTest, TestSgnbit) {

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(CPUMathFunctionsTest, TestFabs) {

int n = this->blob_bottom_->count();

const TypeParam* x = this->blob_bottom_->cpu_data();

caffe_abs<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(CPUMathFunctionsTest, TestScale) {

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(CPUMathFunctionsTest, TestCopy) {

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]);

}

#ifndef CPU_ONLY

template <typename Dtype>

class GPUMathFunctionsTest : public MathFunctionsTest<GPUDevice<Dtype> > {

};

TYPED_TEST_CASE(GPUMathFunctionsTest, TestDtypes);

TYPED_TEST(GPUMathFunctionsTest, TestAsum) {

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(GPUMathFunctionsTest, TestSign) {

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(GPUMathFunctionsTest, TestSgnbit) {

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(GPUMathFunctionsTest, TestFabs) {

int n = this->blob_bottom_->count();

caffe_gpu_abs<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(GPUMathFunctionsTest, TestScale) {

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(GPUMathFunctionsTest, TestCopy) {

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_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]);

}

#endif

} // namespace caffe

CaffeOnACL/src/caffe/test/test_math_functions.cpp at master · rootkit/CaffeOnACL · GitHub

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