Add support for VGG

[psyhtest]

The Visual Geometry Group at the University of Oxford designed several highly accurate DNNs.

Add CK-Caffe support for:

• the VGG16 model (weights, topology)
• the VGG19 model (weights, topology)

Include a copy of the license terms.

Note that only the deployment topology is available. I'll provide an example of how to deal with that shortly.

[psyhtest]

@Rhymmor Many thanks for the contribution! Please include the licensing terms next time :))

[psyhtest]

Just for reference (not expecting to do anything at this point), both VGG models fail on the laptop M1000M GPU with:

      I0405 16:28:47.284858 19674 net.cpp:435] Input 0 -> data
      I0405 16:28:47.285311 19674 layer_factory.hpp:76] Creating layer conv1_1
      I0405 16:28:47.285326 19674 net.cpp:110] Creating Layer conv1_1
      I0405 16:28:47.285331 19674 net.cpp:477] conv1_1 <- data
      I0405 16:28:47.285336 19674 net.cpp:433] conv1_1 -> conv1_1
      F0405 16:28:47.286236 19674 cudnn_conv_layer.cpp:138] Check failed: status == CUDNN_STATUS_SUCCESS (6 vs. 0)  CUDNN_STATUS_ARCH_MISMATCH
      *** Check failure stack trace: ***
          @     0x7f24121c53e6  google::LogMessage::Fail()
          @     0x7f24121c532a  google::LogMessage::SendToLog()
          @     0x7f24121c4c66  google::LogMessage::Flush()
          @     0x7f24121c82ed  google::LogMessageFatal::~LogMessageFatal()
          @     0x7f24121075c8  caffe::CuDNNConvolutionLayer<>::Reshape()
          @     0x7f241215adab  caffe::Net<>::Init()
          @     0x7f241215cc7b  caffe::Net<>::Net()
          @           0x4096d7  time()
          @           0x4064c0  main
          @     0x7f2410e4d830  __libc_start_main
          @           0x406c69  _start
          @              (nil)  (unknown)

when using the package:lib-caffe-nvidia-fp16-cudnn variant. (package:lib-caffe-nvidia-fp16-cuda works just fine.)

[psyhtest]

In fact, I see the same failure with GoogleNet... Will try other targets...