From ce30b678f62da135d350d78097978ee8756c99f8 Mon Sep 17 00:00:00 2001
From: Jonathan L Long <jonlong@cs.berkeley.edu>
Date: Thu, 17 Apr 2014 02:24:02 -0700
Subject: [PATCH] add basic tests for MemoryDataLayer

---
 src/caffe/test/test_memory_data_layer.cpp | 108 ++++++++++++++++++++++++++++++
 1 file changed, 108 insertions(+)
 create mode 100644 src/caffe/test/test_memory_data_layer.cpp

diff --git a/src/caffe/test/test_memory_data_layer.cpp b/src/caffe/test/test_memory_data_layer.cpp
new file mode 100644
index 0000000..15f01bd
--- /dev/null
+++ b/src/caffe/test/test_memory_data_layer.cpp
@@ -0,0 +1,108 @@
+// Copyright 2014 BVLC and contributors.
+
+#include <vector>
+
+#include "caffe/filler.hpp"
+#include "caffe/vision_layers.hpp"
+#include "caffe/test/test_caffe_main.hpp"
+
+namespace caffe {
+
+template <typename Dtype>
+class MemoryDataLayerTest : public ::testing::Test {
+ protected:
+  MemoryDataLayerTest()
+    : data_blob_(new Blob<Dtype>()),
+      label_blob_(new Blob<Dtype>()),
+      data_(new Blob<Dtype>()), labels_(new Blob<Dtype>()) {}
+  virtual void SetUp() {
+    batch_size_ = 8;
+    batches_ = 12;
+    channels_ = 4;
+    height_ = 7;
+    width_ = 11;
+    blob_top_vec_.push_back(data_blob_);
+    blob_top_vec_.push_back(label_blob_);
+    // pick random input data
+    FillerParameter filler_param;
+    GaussianFiller<Dtype> filler(filler_param);
+    data_->Reshape(batches_ * batch_size_, channels_, height_, width_);
+    labels_->Reshape(batches_ * batch_size_, 1, 1, 1);
+    filler.Fill(this->data_);
+    filler.Fill(this->labels_);
+  }
+
+  virtual ~MemoryDataLayerTest() {
+    delete data_blob_;
+    delete label_blob_;
+    delete data_;
+    delete labels_;
+  }
+  int batch_size_;
+  int batches_;
+  int channels_;
+  int height_;
+  int width_;
+  // we don't really need blobs for the input data, but it makes it
+  //  easier to call Filler
+  Blob<Dtype>* const data_;
+  Blob<Dtype>* const labels_;
+  // blobs for the top of MemoryDataLayer
+  Blob<Dtype>* const data_blob_;
+  Blob<Dtype>* const label_blob_;
+  vector<Blob<Dtype>*> blob_bottom_vec_;
+  vector<Blob<Dtype>*> blob_top_vec_;
+};
+
+typedef ::testing::Types<float, double> Dtypes;
+TYPED_TEST_CASE(MemoryDataLayerTest, Dtypes);
+
+TYPED_TEST(MemoryDataLayerTest, TestSetup) {
+  LayerParameter layer_param;
+  MemoryDataParameter* md_param = layer_param.mutable_memory_data_param();
+  md_param->set_batch_size(this->batch_size_);
+  md_param->set_channels(this->channels_);
+  md_param->set_height(this->height_);
+  md_param->set_width(this->width_);
+  shared_ptr<Layer<TypeParam> > layer(
+      new MemoryDataLayer<TypeParam>(layer_param));
+  layer->SetUp(this->blob_bottom_vec_, &(this->blob_top_vec_));
+  EXPECT_EQ(this->data_blob_->num(), this->batch_size_);
+  EXPECT_EQ(this->data_blob_->channels(), this->channels_);
+  EXPECT_EQ(this->data_blob_->height(), this->height_);
+  EXPECT_EQ(this->data_blob_->width(), this->width_);
+  EXPECT_EQ(this->label_blob_->num(), this->batch_size_);
+  EXPECT_EQ(this->label_blob_->channels(), 1);
+  EXPECT_EQ(this->label_blob_->height(), 1);
+  EXPECT_EQ(this->label_blob_->width(), 1);
+}
+
+// run through a few batches and check that the right data appears
+TYPED_TEST(MemoryDataLayerTest, TestForward) {
+  LayerParameter layer_param;
+  MemoryDataParameter* md_param = layer_param.mutable_memory_data_param();
+  md_param->set_batch_size(this->batch_size_);
+  md_param->set_channels(this->channels_);
+  md_param->set_height(this->height_);
+  md_param->set_width(this->width_);
+  shared_ptr<MemoryDataLayer<TypeParam> > layer(
+      new MemoryDataLayer<TypeParam>(layer_param));
+  layer->SetUp(this->blob_bottom_vec_, &(this->blob_top_vec_));
+  layer->Reset(this->data_->mutable_cpu_data(),
+      this->labels_->mutable_cpu_data(), this->data_->num());
+  for (int i = 0; i < this->batches_ * 6; ++i) {
+    int batch_num = i % this->batches_;
+    layer->Forward(this->blob_bottom_vec_, &(this->blob_top_vec_));
+    for (int j = 0; j < this->data_blob_->count(); ++j) {
+      EXPECT_EQ(this->data_blob_->cpu_data()[j],
+          this->data_->cpu_data()[
+              this->data_->offset(1) * this->batch_size_ * batch_num + j]);
+    }
+    for (int j = 0; j < this->label_blob_->count(); ++j) {
+      EXPECT_EQ(this->label_blob_->cpu_data()[j],
+          this->labels_->cpu_data()[this->batch_size_ * batch_num + j]);
+    }
+  }
+}
+
+}  // namespace caffe
-- 
2.7.4