removed the net proto test that relies on external data

1 files changed, 0 insertions, 66 deletions

diff --git a/src/caffe/test/test_net_proto.cpp b/src/caffe/test/test_net_proto.cpp
deleted file mode 100644
index 38b5b68d..00000000
--- a/src/caffe/test/test_net_proto.cpp
+++ /dev/null
@@ -1,66 +0,0 @@
-// Copyright 2013 Yangqing Jia
-
-#include <cuda_runtime.h>
-#include <fcntl.h>
-#include <google/protobuf/text_format.h>
-#include <google/protobuf/io/zero_copy_stream_impl.h>
-#include <gtest/gtest.h>
-
-#include <cstring>
-
-#include "caffe/blob.hpp"
-#include "caffe/common.hpp"
-#include "caffe/net.hpp"
-#include "caffe/filler.hpp"
-#include "caffe/proto/caffe.pb.h"
-#include "caffe/util/io.hpp"
-
-#include "caffe/test/test_caffe_main.hpp"
-
-namespace caffe {
-
-template <typename Dtype>
-class NetProtoTest : public ::testing::Test {};
-
-typedef ::testing::Types<float, double> Dtypes;
-TYPED_TEST_CASE(NetProtoTest, Dtypes);
-
-TYPED_TEST(NetProtoTest, TestSetup) {
-  NetParameter net_param;
-  ReadProtoFromTextFile("data/lenet.prototxt", &net_param);
-  // check if things are right
-  EXPECT_EQ(net_param.layers_size(), 10);
-  EXPECT_EQ(net_param.input_size(), 0);
-
-  vector<Blob<TypeParam>*> bottom_vec;
-
-  Net<TypeParam> caffe_net(net_param, bottom_vec);
-  EXPECT_EQ(caffe_net.layer_names().size(), 10);
-  EXPECT_EQ(caffe_net.blob_names().size(), 10);
-
-  /*
-  // Print a few statistics to see if things are correct
-  for (int i = 0; i < caffe_net.blobs().size(); ++i) {
-    LOG(ERROR) << "Blob: " << caffe_net.blob_names()[i];
-    LOG(ERROR) << "size: " << caffe_net.blobs()[i]->num() << ", "
-        << caffe_net.blobs()[i]->channels() << ", "
-        << caffe_net.blobs()[i]->height() << ", "
-        << caffe_net.blobs()[i]->width();
-  }
-  */
-  Caffe::set_mode(Caffe::CPU);
-  // Run the network without training.
-  LOG(ERROR) << "Performing Forward";
-  caffe_net.Forward(bottom_vec);
-  LOG(ERROR) << "Performing Backward";
-  LOG(ERROR) << caffe_net.Backward();
-
-  Caffe::set_mode(Caffe::GPU);
-  // Run the network without training.
-  LOG(ERROR) << "Performing Forward";
-  caffe_net.Forward(bottom_vec);
-  LOG(ERROR) << "Performing Backward";
-  LOG(ERROR) << caffe_net.Backward();
-}
-
-}  // namespace caffe