--- /dev/null
+// Copyright 2014 BVLC and contributors.
+
+#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 Dtype>
+class ThresholdLayerTest : public ::testing::Test {
+ protected:
+ ThresholdLayerTest()
+ : blob_bottom_(new Blob<Dtype>(2, 3, 6, 5)),
+ 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 ~ThresholdLayerTest() { 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_;
+};
+
+typedef ::testing::Types<float, double> Dtypes;
+TYPED_TEST_CASE(ThresholdLayerTest, Dtypes);
+
+
+TYPED_TEST(ThresholdLayerTest, TestSetup) {
+ LayerParameter layer_param;
+ ThresholdLayer<TypeParam> layer(layer_param);
+ layer.SetUp(this->blob_bottom_vec_, &(this->blob_top_vec_));
+ EXPECT_EQ(this->blob_top_->num(), this->bottom_top_->num());
+ EXPECT_EQ(this->blob_top_->channels(), this->bottom_top_->channels());
+ EXPECT_EQ(this->blob_top_->height(), this->bottom_top_->height());
+ EXPECT_EQ(this->blob_top_->width(), this->bottom_top_->width());
+}
+TYPED_TEST(ThresholdLayerTest, TestCPU) {
+ LayerParameter layer_param;
+ Caffe::set_mode(Caffe::CPU);
+ ThresholdLayer<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();
+ const TypeParam threshold_ = layer.theshold_;
+ for (int i = 0; i < this->blob_bottom_->count(); ++i) {
+ EXPECT_GE(top_data[i], 0.);
+ EXPECT_LE(top_data[i], 1.);
+ EXPECT_TRUE(top_data[i] == 0 && bottom_data[i] <= threshold_);
+ EXPECT_TRUE(top_data[i] == 1 && bottom_data[i] > threshold_);
+ }
+}
+
+} // namespace caffe