index b2403460138de4aae6e629eb3fcd0b42f813f695..cd16ed659091ee5fbb75a95b94fc4045f97b63da 100644 (file)
lenet_string, &net_param));
// check if things are right
EXPECT_EQ(net_param.layers_size(), 9);
- EXPECT_EQ(net_param.bottom_size(), 2);
- EXPECT_EQ(net_param.top_size(), 0);
+ EXPECT_EQ(net_param.input_size(), 2);
// Now, initialize a network using the parameter
shared_ptr<Blob<TypeParam> > data(new Blob<TypeParam>(10, 1, 28, 28));
// Run the network without training.
vector<Blob<TypeParam>*> top_vec;
LOG(ERROR) << "Performing Forward";
- caffe_net.Forward(bottom_vec, &top_vec);
+ caffe_net.Forward(bottom_vec);
LOG(ERROR) << "Performing Backward";
LOG(ERROR) << caffe_net.Backward();
}