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test_im2col_layer.cpp
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118 lines (104 loc) · 3.89 KB
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#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_caffe_main.hpp"
#include "caffe/test/test_gradient_check_util.hpp"
namespace caffe {
template <typename TypeParam>
class Im2colLayerTest : public MultiDeviceTest<TypeParam> {
typedef typename TypeParam::Dtype Dtype;
protected:
Im2colLayerTest()
: blob_bottom_(new Blob<Dtype>(2, 3, 6, 5)),
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 ~Im2colLayerTest() { 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(Im2colLayerTest, TestDtypesAndDevices);
TYPED_TEST(Im2colLayerTest, TestSetup) {
typedef typename TypeParam::Dtype Dtype;
LayerParameter layer_param;
ConvolutionParameter* convolution_param =
layer_param.mutable_convolution_param();
convolution_param->set_kernel_size(3);
convolution_param->set_stride(2);
Im2colLayer<Dtype> layer(layer_param);
layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
EXPECT_EQ(this->blob_top_->num(), 2);
EXPECT_EQ(this->blob_top_->channels(), 27);
EXPECT_EQ(this->blob_top_->height(), 2);
EXPECT_EQ(this->blob_top_->width(), 2);
}
TYPED_TEST(Im2colLayerTest, TestForward) {
typedef typename TypeParam::Dtype Dtype;
LayerParameter layer_param;
ConvolutionParameter* convolution_param =
layer_param.mutable_convolution_param();
convolution_param->set_kernel_size(3);
convolution_param->set_stride(2);
Im2colLayer<Dtype> layer(layer_param);
layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
// We are lazy and will only check the top left block
for (int c = 0; c < 27; ++c) {
EXPECT_EQ(this->blob_bottom_->data_at(0, (c / 9), (c / 3) % 3, c % 3),
this->blob_top_->data_at(0, c, 0, 0));
}
}
TYPED_TEST(Im2colLayerTest, TestGradient) {
typedef typename TypeParam::Dtype Dtype;
LayerParameter layer_param;
ConvolutionParameter* convolution_param =
layer_param.mutable_convolution_param();
convolution_param->set_kernel_size(3);
convolution_param->set_stride(2);
Im2colLayer<Dtype> layer(layer_param);
GradientChecker<Dtype> checker(1e-2, 1e-2);
checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
this->blob_top_vec_);
}
TYPED_TEST(Im2colLayerTest, TestRect) {
typedef typename TypeParam::Dtype Dtype;
LayerParameter layer_param;
ConvolutionParameter* convolution_param =
layer_param.mutable_convolution_param();
convolution_param->set_kernel_h(5);
convolution_param->set_kernel_w(3);
convolution_param->set_stride(2);
Im2colLayer<Dtype> layer(layer_param);
layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
// We are lazy and will only check the top left block
for (int c = 0; c < 45; ++c) {
EXPECT_EQ(this->blob_top_->data_at(0, c, 0, 0),
this->blob_bottom_->data_at(0, (c / 15), (c / 3) % 5, c % 3));
}
}
TYPED_TEST(Im2colLayerTest, TestRectGradient) {
typedef typename TypeParam::Dtype Dtype;
LayerParameter layer_param;
ConvolutionParameter* convolution_param =
layer_param.mutable_convolution_param();
convolution_param->set_kernel_h(5);
convolution_param->set_kernel_w(3);
convolution_param->set_stride(2);
Im2colLayer<Dtype> layer(layer_param);
GradientChecker<Dtype> checker(1e-2, 1e-2);
checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
this->blob_top_vec_);
}
} // namespace caffe