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// Copyright 2014 BVLC and contributors.
// Adapted from other test files
#include <cmath>
#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 Dtype>
class TanHLayerTest : public ::testing::Test {
protected:
TanHLayerTest()
: blob_bottom_(new Blob<Dtype>(2, 10, 1, 1)),
blob_top_(new Blob<Dtype>()) {
// 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 ~TanHLayerTest() { 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(TanHLayerTest, Dtypes);
TYPED_TEST(TanHLayerTest, TestForwardCPU) {
LayerParameter layer_param;
Caffe::set_mode(Caffe::CPU);
TanHLayer<TypeParam> layer(layer_param);
layer.SetUp(this->blob_bottom_vec_, &(this->blob_top_vec_));
layer.Forward(this->blob_bottom_vec_, &(this->blob_top_vec_));
// Test exact values
for (int i = 0; i < this->blob_bottom_->num(); ++i) {
for (int j = 0; j < this->blob_bottom_->channels(); ++j) {
for (int k = 0; k < this->blob_bottom_->height(); ++k) {
for (int l = 0; l < this->blob_bottom_->width(); ++l) {
EXPECT_GE(this->blob_top_->data_at(i, j, k, l) + 1e-4,
(exp(2*this->blob_bottom_->data_at(i, j, k, l)) - 1) /
(exp(2*this->blob_bottom_->data_at(i, j, k, l)) + 1));
EXPECT_LE(this->blob_top_->data_at(i, j, k, l) - 1e-4,
(exp(2*this->blob_bottom_->data_at(i, j, k, l)) - 1) /
(exp(2*this->blob_bottom_->data_at(i, j, k, l)) + 1));
}
}
}
}
}
TYPED_TEST(TanHLayerTest, TestGradientCPU) {
LayerParameter layer_param;
Caffe::set_mode(Caffe::CPU);
TanHLayer<TypeParam> layer(layer_param);
GradientChecker<TypeParam> checker(1e-2, 1e-3);
checker.CheckGradientExhaustive(&layer, &(this->blob_bottom_vec_),
&(this->blob_top_vec_));
}
TYPED_TEST(TanHLayerTest, TestForwardGPU) {
LayerParameter layer_param;
Caffe::set_mode(Caffe::GPU);
TanHLayer<TypeParam> layer(layer_param);
layer.SetUp(this->blob_bottom_vec_, &(this->blob_top_vec_));
layer.Forward(this->blob_bottom_vec_, &(this->blob_top_vec_));
// Test exact values
for (int i = 0; i < this->blob_bottom_->num(); ++i) {
for (int j = 0; j < this->blob_bottom_->channels(); ++j) {
for (int k = 0; k < this->blob_bottom_->height(); ++k) {
for (int l = 0; l < this->blob_bottom_->width(); ++l) {
EXPECT_GE(this->blob_top_->data_at(i, j, k, l) + 1e-4,
(exp(2*this->blob_bottom_->data_at(i, j, k, l)) - 1) /
(exp(2*this->blob_bottom_->data_at(i, j, k, l)) + 1));
EXPECT_LE(this->blob_top_->data_at(i, j, k, l) - 1e-4,
(exp(2*this->blob_bottom_->data_at(i, j, k, l)) - 1) /
(exp(2*this->blob_bottom_->data_at(i, j, k, l)) + 1));
}
}
}
}
}
TYPED_TEST(TanHLayerTest, TestGradientGPU) {
LayerParameter layer_param;
Caffe::set_mode(Caffe::GPU);
TanHLayer<TypeParam> layer(layer_param);
GradientChecker<TypeParam> checker(1e-2, 1e-3);
checker.CheckGradientExhaustive(&layer, &(this->blob_bottom_vec_),
&(this->blob_top_vec_));
}
} // namespace caffe
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