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// Copyright 2013 Yangqing Jia
#include <cuda_runtime.h>
#include <leveldb/db.h>
#include <string>
#include "gtest/gtest.h"
#include "caffe/blob.hpp"
#include "caffe/common.hpp"
#include "caffe/filler.hpp"
#include "caffe/vision_layers.hpp"
#include "caffe/proto/caffe.pb.h"
#include "caffe/test/test_caffe_main.hpp"
using std::string;
namespace caffe {
extern cudaDeviceProp CAFFE_TEST_CUDA_PROP;
template <typename Dtype>
class DataLayerTest : public ::testing::Test {
protected:
DataLayerTest()
: blob_top_data_(new Blob<Dtype>()),
blob_top_label_(new Blob<Dtype>()),
filename(NULL) {};
virtual void SetUp() {
blob_top_vec_.push_back(blob_top_data_);
blob_top_vec_.push_back(blob_top_label_);
// Create the leveldb
filename = tmpnam(NULL); // get temp name
LOG(INFO) << "Using temporary leveldb " << filename;
leveldb::DB* db;
leveldb::Options options;
options.error_if_exists = true;
options.create_if_missing = true;
leveldb::Status status = leveldb::DB::Open(options, filename, &db);
CHECK(status.ok());
for (int i = 0; i < 5; ++i) {
Datum datum;
datum.set_label(i);
datum.set_channels(2);
datum.set_height(3);
datum.set_width(4);
std::string* data = datum.mutable_data();
for (int j = 0; j < 24; ++j) {
data->push_back((uint8_t)i);
}
stringstream ss;
ss << i;
db->Put(leveldb::WriteOptions(), ss.str(), datum.SerializeAsString());
}
delete db;
};
virtual ~DataLayerTest() { delete blob_top_data_; delete blob_top_label_; }
char* filename;
Blob<Dtype>* const blob_top_data_;
Blob<Dtype>* const blob_top_label_;
vector<Blob<Dtype>*> blob_bottom_vec_;
vector<Blob<Dtype>*> blob_top_vec_;
};
typedef ::testing::Types<float, double> Dtypes;
TYPED_TEST_CASE(DataLayerTest, Dtypes);
TYPED_TEST(DataLayerTest, TestRead) {
LayerParameter param;
param.set_batchsize(5);
param.set_source(this->filename);
DataLayer<TypeParam> layer(param);
layer.SetUp(this->blob_bottom_vec_, &this->blob_top_vec_);
EXPECT_EQ(this->blob_top_data_->num(), 5);
EXPECT_EQ(this->blob_top_data_->channels(), 2);
EXPECT_EQ(this->blob_top_data_->height(), 3);
EXPECT_EQ(this->blob_top_data_->width(), 4);
EXPECT_EQ(this->blob_top_label_->num(), 5);
EXPECT_EQ(this->blob_top_label_->channels(), 1);
EXPECT_EQ(this->blob_top_label_->height(), 1);
EXPECT_EQ(this->blob_top_label_->width(), 1);
// Go through the data 100 times
for (int iter = 0; iter < 100; ++iter) {
layer.Forward(this->blob_bottom_vec_, &this->blob_top_vec_);
for (int i = 0; i < 5; ++i) {
EXPECT_EQ(i, this->blob_top_label_->cpu_data()[i]);
}
for (int i = 0; i < 5; ++i) {
for (int j = 0; j < 24; ++j) {
EXPECT_EQ(i, this->blob_top_data_->cpu_data()[i * 24 + j])
<< "debug: i " << i << " j " << j;
}
}
}
// Same test, in GPU mode.
Caffe::set_mode(Caffe::GPU);
for (int iter = 0; iter < 100; ++iter) {
layer.Forward(this->blob_bottom_vec_, &this->blob_top_vec_);
for (int i = 0; i < 5; ++i) {
EXPECT_EQ(i, this->blob_top_label_->cpu_data()[i]);
}
for (int i = 0; i < 5; ++i) {
for (int j = 0; j < 24; ++j) {
EXPECT_EQ(i, this->blob_top_data_->cpu_data()[i * 24 + j])
<< "debug: i " << i << " j " << j;
}
}
}
}
}
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