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// Copyright 2014 BVLC and contributors.
#include <cmath>
#include <cstdlib>
#include <cstring>
#include <vector>
#include "cuda_runtime.h"
#include "gtest/gtest.h"
#include "caffe/blob.hpp"
#include "caffe/common.hpp"
#include "caffe/filler.hpp"
#include "caffe/vision_layers.hpp"
#include "caffe/test/test_gradient_check_util.hpp"
#include "caffe/test/test_caffe_main.hpp"
namespace caffe {
extern cudaDeviceProp CAFFE_TEST_CUDA_PROP;
template <typename TypeParam>
class SoftmaxWithLossLayerTest : public MultiDeviceTest<TypeParam> {
typedef typename TypeParam::Dtype Dtype;
protected:
SoftmaxWithLossLayerTest()
: blob_bottom_data_(new Blob<Dtype>(10, 5, 1, 1)),
blob_bottom_label_(new Blob<Dtype>(10, 1, 1, 1)) {
// fill the values
FillerParameter filler_param;
filler_param.set_std(10);
GaussianFiller<Dtype> filler(filler_param);
filler.Fill(this->blob_bottom_data_);
blob_bottom_vec_.push_back(blob_bottom_data_);
for (int i = 0; i < blob_bottom_label_->count(); ++i) {
blob_bottom_label_->mutable_cpu_data()[i] = caffe_rng_rand() % 5;
}
blob_bottom_vec_.push_back(blob_bottom_label_);
}
virtual ~SoftmaxWithLossLayerTest() {
delete blob_bottom_data_;
delete blob_bottom_label_;
}
Blob<Dtype>* const blob_bottom_data_;
Blob<Dtype>* const blob_bottom_label_;
vector<Blob<Dtype>*> blob_bottom_vec_;
vector<Blob<Dtype>*> blob_top_vec_;
};
TYPED_TEST_CASE(SoftmaxWithLossLayerTest, TestDtypesAndDevices);
TYPED_TEST(SoftmaxWithLossLayerTest, TestGradient) {
typedef typename TypeParam::Dtype Dtype;
LayerParameter layer_param;
SoftmaxWithLossLayer<Dtype> layer(layer_param);
layer.SetUp(this->blob_bottom_vec_, &this->blob_top_vec_);
GradientChecker<Dtype> checker(1e-2, 1e-2, 1701);
checker.CheckGradientSingle(&layer, &(this->blob_bottom_vec_),
&(this->blob_top_vec_), 0, -1, -1);
}
} // namespace caffe
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