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// Copyright 2014 BVLC and contributors.
#include <vector>
#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 {
template <typename Dtype>
class ArgMaxLayerTest : public ::testing::Test {
protected:
ArgMaxLayerTest()
: blob_bottom_(new Blob<Dtype>(20, 10, 1, 1)),
blob_top_(new Blob<Dtype>()) {
Caffe::set_random_seed(1701);
// fill the values
FillerParameter filler_param;
GaussianFiller<Dtype> filler(filler_param);
filler.Fill(this->blob_bottom_);
blob_bottom_vec_.push_back(blob_bottom_);
blob_top_vec_.push_back(blob_top_);
}
virtual ~ArgMaxLayerTest() { delete blob_bottom_; delete blob_top_; }
Blob<Dtype>* const blob_bottom_;
Blob<Dtype>* const blob_top_;
vector<Blob<Dtype>*> blob_bottom_vec_;
vector<Blob<Dtype>*> blob_top_vec_;
};
TYPED_TEST_CASE(ArgMaxLayerTest, TestDtypes);
TYPED_TEST(ArgMaxLayerTest, TestSetup) {
LayerParameter layer_param;
ArgMaxLayer<TypeParam> layer(layer_param);
layer.SetUp(this->blob_bottom_vec_, &(this->blob_top_vec_));
EXPECT_EQ(this->blob_top_->num(), this->blob_bottom_->num());
EXPECT_EQ(this->blob_top_->channels(), 1);
}
TYPED_TEST(ArgMaxLayerTest, TestSetupMaxVal) {
LayerParameter layer_param;
ArgMaxParameter* argmax_param = layer_param.mutable_argmax_param();
argmax_param->set_out_max_val(true);
ArgMaxLayer<TypeParam> layer(layer_param);
layer.SetUp(this->blob_bottom_vec_, &(this->blob_top_vec_));
EXPECT_EQ(this->blob_top_->num(), this->blob_bottom_->num());
EXPECT_EQ(this->blob_top_->channels(), 2);
}
TYPED_TEST(ArgMaxLayerTest, TestCPU) {
LayerParameter layer_param;
Caffe::set_mode(Caffe::CPU);
ArgMaxLayer<TypeParam> layer(layer_param);
layer.SetUp(this->blob_bottom_vec_, &(this->blob_top_vec_));
layer.Forward(this->blob_bottom_vec_, &(this->blob_top_vec_));
// Now, check values
const TypeParam* bottom_data = this->blob_bottom_->cpu_data();
const TypeParam* top_data = this->blob_top_->cpu_data();
int max_ind;
TypeParam max_val;
int num = this->blob_bottom_->num();
int dim = this->blob_bottom_->count() / num;
for (int i = 0; i < num; ++i) {
EXPECT_GE(top_data[i], 0);
EXPECT_LE(top_data[i], dim);
max_ind = top_data[i];
max_val = bottom_data[i * dim + max_ind];
for (int j = 0; j < dim; ++j) {
EXPECT_LE(bottom_data[i * dim + j], max_val);
}
}
}
TYPED_TEST(ArgMaxLayerTest, TestCPUMaxVal) {
LayerParameter layer_param;
Caffe::set_mode(Caffe::CPU);
ArgMaxParameter* argmax_param = layer_param.mutable_argmax_param();
argmax_param->set_out_max_val(true);
ArgMaxLayer<TypeParam> layer(layer_param);
layer.SetUp(this->blob_bottom_vec_, &(this->blob_top_vec_));
layer.Forward(this->blob_bottom_vec_, &(this->blob_top_vec_));
// Now, check values
const TypeParam* bottom_data = this->blob_bottom_->cpu_data();
const TypeParam* top_data = this->blob_top_->cpu_data();
int max_ind;
TypeParam max_val;
int num = this->blob_bottom_->num();
int dim = this->blob_bottom_->count() / num;
for (int i = 0; i < num; ++i) {
EXPECT_GE(top_data[i], 0);
EXPECT_LE(top_data[i], dim);
max_ind = top_data[i * 2];
max_val = top_data[i * 2 + 1];
EXPECT_EQ(bottom_data[i * dim + max_ind], max_val);
for (int j = 0; j < dim; ++j) {
EXPECT_LE(bottom_data[i * dim + j], max_val);
}
}
}
} // namespace caffe
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