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test_tanh_layer.cpp
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101 lines (84 loc) · 2.84 KB
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#include <algorithm>
#include <vector>
#include "gtest/gtest.h"
#include "caffe/blob.hpp"
#include "caffe/common.hpp"
#include "caffe/filler.hpp"
#include "caffe/layers/tanh_layer.hpp"
#include "caffe/test/test_caffe_main.hpp"
#include "caffe/test/test_gradient_check_util.hpp"
namespace caffe {
double tanh_naive(double x) {
if (x < -40) {
// avoid negative overflow
return -1;
} else if (x > 40) {
// avoid positive overflow
return 1;
} else {
// exact expression for tanh, which is unstable for large x
double exp2x = exp(2 * x);
return (exp2x - 1.0) / (exp2x + 1.0);
}
}
template <typename TypeParam>
class TanHLayerTest : public MultiDeviceTest<TypeParam> {
typedef typename TypeParam::Dtype Dtype;
protected:
TanHLayerTest()
: blob_bottom_(new Blob<Dtype>(2, 3, 4, 5)),
blob_top_(new Blob<Dtype>()) {
Caffe::set_random_seed(1701);
FillerParameter filler_param;
blob_bottom_vec_.push_back(blob_bottom_);
blob_top_vec_.push_back(blob_top_);
}
virtual ~TanHLayerTest() { delete blob_bottom_; delete blob_top_; }
void TestForward(Dtype filler_std) {
FillerParameter filler_param;
filler_param.set_std(filler_std);
GaussianFiller<Dtype> filler(filler_param);
filler.Fill(this->blob_bottom_);
LayerParameter layer_param;
TanHLayer<Dtype> 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 Dtype* bottom_data = this->blob_bottom_->cpu_data();
const Dtype* top_data = this->blob_top_->cpu_data();
const Dtype min_precision = 1e-5;
for (int i = 0; i < this->blob_bottom_->count(); ++i) {
Dtype expected_value = tanh_naive(bottom_data[i]);
Dtype precision = std::max(
Dtype(std::abs(expected_value * Dtype(1e-4))), min_precision);
EXPECT_NEAR(expected_value, top_data[i], precision);
}
}
void TestBackward(Dtype filler_std) {
FillerParameter filler_param;
filler_param.set_std(filler_std);
GaussianFiller<Dtype> filler(filler_param);
filler.Fill(this->blob_bottom_);
LayerParameter layer_param;
TanHLayer<Dtype> layer(layer_param);
GradientChecker<Dtype> checker(1e-2, 1e-2, 1701);
checker.CheckGradientEltwise(&layer, this->blob_bottom_vec_,
this->blob_top_vec_);
}
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(TanHLayerTest, TestDtypesAndDevices);
TYPED_TEST(TanHLayerTest, TestTanH) {
this->TestForward(1.0);
}
TYPED_TEST(TanHLayerTest, TestTanHOverflow) {
// this will fail if tanh overflow is not properly handled
this->TestForward(10000.0);
}
TYPED_TEST(TanHLayerTest, TestTanHGradient) {
this->TestBackward(1.0);
}
} // namespace caffe