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// Copyright 2014 BVLC and contributors.
#include <cstring>
#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 {
#ifndef CPU_ONLY
extern cudaDeviceProp CAFFE_TEST_CUDA_PROP;
#endif
template <typename TypeParam>
class InnerProductLayerTest : public MultiDeviceTest<TypeParam> {
typedef typename TypeParam::Dtype Dtype;
protected:
InnerProductLayerTest()
: blob_bottom_(new Blob<Dtype>(2, 3, 4, 5)),
blob_top_(new Blob<Dtype>()) {
// fill the values
FillerParameter filler_param;
UniformFiller<Dtype> filler(filler_param);
filler.Fill(this->blob_bottom_);
blob_bottom_vec_.push_back(blob_bottom_);
blob_top_vec_.push_back(blob_top_);
}
virtual ~InnerProductLayerTest() { 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(InnerProductLayerTest, TestDtypesAndDevices);
TYPED_TEST(InnerProductLayerTest, TestSetUp) {
typedef typename TypeParam::Dtype Dtype;
LayerParameter layer_param;
InnerProductParameter* inner_product_param =
layer_param.mutable_inner_product_param();
inner_product_param->set_num_output(10);
shared_ptr<InnerProductLayer<Dtype> > layer(
new InnerProductLayer<Dtype>(layer_param));
layer->SetUp(this->blob_bottom_vec_, &(this->blob_top_vec_));
EXPECT_EQ(this->blob_top_->num(), 2);
EXPECT_EQ(this->blob_top_->height(), 1);
EXPECT_EQ(this->blob_top_->width(), 1);
EXPECT_EQ(this->blob_top_->channels(), 10);
}
TYPED_TEST(InnerProductLayerTest, TestForward) {
typedef typename TypeParam::Dtype Dtype;
bool IS_VALID_CUDA = false;
#ifndef CPU_ONLY
IS_VALID_CUDA = CAFFE_TEST_CUDA_PROP.major >= 2;
#endif
if (Caffe::mode() == Caffe::CPU ||
sizeof(Dtype) == 4 || IS_VALID_CUDA) {
LayerParameter layer_param;
InnerProductParameter* inner_product_param =
layer_param.mutable_inner_product_param();
inner_product_param->set_num_output(10);
inner_product_param->mutable_weight_filler()->set_type("uniform");
inner_product_param->mutable_bias_filler()->set_type("uniform");
inner_product_param->mutable_bias_filler()->set_min(1);
inner_product_param->mutable_bias_filler()->set_max(2);
shared_ptr<InnerProductLayer<Dtype> > layer(
new InnerProductLayer<Dtype>(layer_param));
layer->SetUp(this->blob_bottom_vec_, &(this->blob_top_vec_));
layer->Forward(this->blob_bottom_vec_, &(this->blob_top_vec_));
const Dtype* data = this->blob_top_->cpu_data();
const int count = this->blob_top_->count();
for (int i = 0; i < count; ++i) {
EXPECT_GE(data[i], 1.);
}
} else {
LOG(ERROR) << "Skipping test due to old architecture.";
}
}
TYPED_TEST(InnerProductLayerTest, TestGradient) {
typedef typename TypeParam::Dtype Dtype;
bool IS_VALID_CUDA = false;
#ifndef CPU_ONLY
IS_VALID_CUDA = CAFFE_TEST_CUDA_PROP.major >= 2;
#endif
if (Caffe::mode() == Caffe::CPU ||
sizeof(Dtype) == 4 || IS_VALID_CUDA) {
LayerParameter layer_param;
InnerProductParameter* inner_product_param =
layer_param.mutable_inner_product_param();
inner_product_param->set_num_output(10);
inner_product_param->mutable_weight_filler()->set_type("gaussian");
inner_product_param->mutable_bias_filler()->set_type("gaussian");
inner_product_param->mutable_bias_filler()->set_min(1);
inner_product_param->mutable_bias_filler()->set_max(2);
InnerProductLayer<Dtype> layer(layer_param);
GradientChecker<Dtype> checker(1e-2, 1e-3);
checker.CheckGradientExhaustive(&layer, &(this->blob_bottom_vec_),
&(this->blob_top_vec_));
} else {
LOG(ERROR) << "Skipping test due to old architecture.";
}
}
} // namespace caffe
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