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#include <string>
#include <vector>
#include "gtest/gtest.h"
#include "caffe/blob.hpp"
#include "caffe/common.hpp"
#include "caffe/layers/dummy_data_layer.hpp"
#include "caffe/proto/caffe.pb.h"
#include "caffe/test/test_caffe_main.hpp"
namespace caffe {
template <typename Dtype>
class DummyDataLayerTest : public CPUDeviceTest<Dtype> {
protected:
DummyDataLayerTest()
: blob_top_a_(new Blob<Dtype>()),
blob_top_b_(new Blob<Dtype>()),
blob_top_c_(new Blob<Dtype>()) {}
virtual void SetUp() {
blob_bottom_vec_.clear();
blob_top_vec_.clear();
blob_top_vec_.push_back(blob_top_a_);
blob_top_vec_.push_back(blob_top_b_);
blob_top_vec_.push_back(blob_top_c_);
}
virtual ~DummyDataLayerTest() {
delete blob_top_a_;
delete blob_top_b_;
delete blob_top_c_;
}
Blob<Dtype>* const blob_top_a_;
Blob<Dtype>* const blob_top_b_;
Blob<Dtype>* const blob_top_c_;
vector<Blob<Dtype>*> blob_bottom_vec_;
vector<Blob<Dtype>*> blob_top_vec_;
};
TYPED_TEST_CASE(DummyDataLayerTest, TestDtypes);
TYPED_TEST(DummyDataLayerTest, TestOneTopConstant) {
LayerParameter param;
DummyDataParameter* dummy_data_param = param.mutable_dummy_data_param();
dummy_data_param->add_num(5);
dummy_data_param->add_channels(3);
dummy_data_param->add_height(2);
dummy_data_param->add_width(4);
this->blob_top_vec_.resize(1);
DummyDataLayer<TypeParam> layer(param);
layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
EXPECT_EQ(this->blob_top_a_->num(), 5);
EXPECT_EQ(this->blob_top_a_->channels(), 3);
EXPECT_EQ(this->blob_top_a_->height(), 2);
EXPECT_EQ(this->blob_top_a_->width(), 4);
EXPECT_EQ(this->blob_top_b_->count(), 0);
EXPECT_EQ(this->blob_top_c_->count(), 0);
for (int i = 0; i < this->blob_top_vec_.size(); ++i) {
for (int j = 0; j < this->blob_top_vec_[i]->count(); ++j) {
EXPECT_EQ(0, this->blob_top_vec_[i]->cpu_data()[j]);
}
}
layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
for (int i = 0; i < this->blob_top_vec_.size(); ++i) {
for (int j = 0; j < this->blob_top_vec_[i]->count(); ++j) {
EXPECT_EQ(0, this->blob_top_vec_[i]->cpu_data()[j]);
}
}
}
TYPED_TEST(DummyDataLayerTest, TestTwoTopConstant) {
LayerParameter param;
DummyDataParameter* dummy_data_param = param.mutable_dummy_data_param();
dummy_data_param->add_num(5);
dummy_data_param->add_channels(3);
dummy_data_param->add_height(2);
dummy_data_param->add_width(4);
dummy_data_param->add_num(5);
// Don't explicitly set number of channels or height for 2nd top blob; should
// default to first channels and height (as we check later).
dummy_data_param->add_height(1);
FillerParameter* data_filler_param = dummy_data_param->add_data_filler();
data_filler_param->set_value(7);
this->blob_top_vec_.resize(2);
DummyDataLayer<TypeParam> layer(param);
layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
EXPECT_EQ(this->blob_top_a_->num(), 5);
EXPECT_EQ(this->blob_top_a_->channels(), 3);
EXPECT_EQ(this->blob_top_a_->height(), 2);
EXPECT_EQ(this->blob_top_a_->width(), 4);
EXPECT_EQ(this->blob_top_b_->num(), 5);
EXPECT_EQ(this->blob_top_b_->channels(), 3);
EXPECT_EQ(this->blob_top_b_->height(), 1);
EXPECT_EQ(this->blob_top_b_->width(), 4);
EXPECT_EQ(this->blob_top_c_->count(), 0);
for (int i = 0; i < this->blob_top_vec_.size(); ++i) {
for (int j = 0; j < this->blob_top_vec_[i]->count(); ++j) {
EXPECT_EQ(7, this->blob_top_vec_[i]->cpu_data()[j]);
}
}
layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
for (int i = 0; i < this->blob_top_vec_.size(); ++i) {
for (int j = 0; j < this->blob_top_vec_[i]->count(); ++j) {
EXPECT_EQ(7, this->blob_top_vec_[i]->cpu_data()[j]);
}
}
}
TYPED_TEST(DummyDataLayerTest, TestThreeTopConstantGaussianConstant) {
LayerParameter param;
DummyDataParameter* dummy_data_param = param.mutable_dummy_data_param();
dummy_data_param->add_num(5);
dummy_data_param->add_channels(3);
dummy_data_param->add_height(2);
dummy_data_param->add_width(4);
FillerParameter* data_filler_param_a = dummy_data_param->add_data_filler();
data_filler_param_a->set_value(7);
FillerParameter* data_filler_param_b = dummy_data_param->add_data_filler();
data_filler_param_b->set_type("gaussian");
TypeParam gaussian_mean = 3.0;
TypeParam gaussian_std = 0.01;
data_filler_param_b->set_mean(gaussian_mean);
data_filler_param_b->set_std(gaussian_std);
FillerParameter* data_filler_param_c = dummy_data_param->add_data_filler();
data_filler_param_c->set_value(9);
DummyDataLayer<TypeParam> layer(param);
layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
EXPECT_EQ(this->blob_top_a_->num(), 5);
EXPECT_EQ(this->blob_top_a_->channels(), 3);
EXPECT_EQ(this->blob_top_a_->height(), 2);
EXPECT_EQ(this->blob_top_a_->width(), 4);
EXPECT_EQ(this->blob_top_b_->num(), 5);
EXPECT_EQ(this->blob_top_b_->channels(), 3);
EXPECT_EQ(this->blob_top_b_->height(), 2);
EXPECT_EQ(this->blob_top_b_->width(), 4);
EXPECT_EQ(this->blob_top_c_->num(), 5);
EXPECT_EQ(this->blob_top_c_->channels(), 3);
EXPECT_EQ(this->blob_top_c_->height(), 2);
EXPECT_EQ(this->blob_top_c_->width(), 4);
for (int i = 0; i < this->blob_top_a_->count(); ++i) {
EXPECT_EQ(7, this->blob_top_a_->cpu_data()[i]);
}
// Blob b uses a Gaussian filler, so SetUp should not have initialized it.
// Blob b's data should therefore be the default Blob data value: 0.
for (int i = 0; i < this->blob_top_b_->count(); ++i) {
EXPECT_EQ(0, this->blob_top_b_->cpu_data()[i]);
}
for (int i = 0; i < this->blob_top_c_->count(); ++i) {
EXPECT_EQ(9, this->blob_top_c_->cpu_data()[i]);
}
// Do a Forward pass to fill in Blob b with Gaussian data.
layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
for (int i = 0; i < this->blob_top_a_->count(); ++i) {
EXPECT_EQ(7, this->blob_top_a_->cpu_data()[i]);
}
// Check that the Gaussian's data has been filled in with values within
// 10 standard deviations of the mean. Record the first and last sample.
// to check that they're different after the next Forward pass.
for (int i = 0; i < this->blob_top_b_->count(); ++i) {
EXPECT_NEAR(gaussian_mean, this->blob_top_b_->cpu_data()[i],
gaussian_std * 10);
}
const TypeParam first_gaussian_sample = this->blob_top_b_->cpu_data()[0];
const TypeParam last_gaussian_sample =
this->blob_top_b_->cpu_data()[this->blob_top_b_->count() - 1];
for (int i = 0; i < this->blob_top_c_->count(); ++i) {
EXPECT_EQ(9, this->blob_top_c_->cpu_data()[i]);
}
// Do another Forward pass to fill in Blob b with Gaussian data again,
// checking that we get different values.
layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
for (int i = 0; i < this->blob_top_a_->count(); ++i) {
EXPECT_EQ(7, this->blob_top_a_->cpu_data()[i]);
}
for (int i = 0; i < this->blob_top_b_->count(); ++i) {
EXPECT_NEAR(gaussian_mean, this->blob_top_b_->cpu_data()[i],
gaussian_std * 10);
}
EXPECT_NE(first_gaussian_sample, this->blob_top_b_->cpu_data()[0]);
EXPECT_NE(last_gaussian_sample,
this->blob_top_b_->cpu_data()[this->blob_top_b_->count() - 1]);
for (int i = 0; i < this->blob_top_c_->count(); ++i) {
EXPECT_EQ(9, this->blob_top_c_->cpu_data()[i]);
}
}
} // namespace caffe
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