convert.py ran failed with "Enum type has no value named Convolution"

[zsyet]

i've installed the latest caffe-master
i'm trying to convert the follow 2 file to tensorflow model
https://gist.githubusercontent.com/ksimonyan/211839e770f7b538e2d8/raw/0067c9b32f60362c74f4c445a080beed06b07eb3/VGG_ILSVRC_16_layers_deploy.prototxt
http://www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_16_layers.caffemodel

the first time i tried, convert.py raised the error "Error encountered: Unknown layer type encountered: 4"
it's because the layer type name defined kaffe\layer.py is not extactly the same with those referred by VGG_ILSVRC_16_layers_deploy.prototxt
i modified the capital layer name in VGG_ILSVRC_16_layers_deploy.prototxt, then ran convert.py again

this time it raised the error Enum type "caffe.V1LayerParameter.LayerType" has no value named Convolution, the following the full message:
(tf-0.8.0-gpu-py27)dl@dl123:~/mxnet-org-bai/tools/caffe-tensorflow-master$ python convert.py --caffemodel VGG_ILSVRC_16_layers.caffemodel --data-output-path tfout.data --code-output-path tfout.code VGG_ILSVRC_16_layers_deploy.prototxt-bak-new
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcurand.so locally

---

WARNING: PyCaffe not found!
Falling back to a pure protocol buffer implementation.
* Conversions will be drastically slower.
* This backend is UNTESTED!

---

Traceback (most recent call last):
File "convert.py", line 60, in
main()
File "convert.py", line 56, in main
args.phase)
File "convert.py", line 27, in convert
transformer = TensorFlowTransformer(def_path, caffemodel_path, phase=phase)
File "/home/dl/mxnet-org-bai/tools/caffe-tensorflow-master/kaffe/tensorflow/transformer.py", line 221, in init
self.load(def_path, data_path, phase)
File "/home/dl/mxnet-org-bai/tools/caffe-tensorflow-master/kaffe/tensorflow/transformer.py", line 227, in load
graph = GraphBuilder(def_path, phase).build()
File "/home/dl/mxnet-org-bai/tools/caffe-tensorflow-master/kaffe/graph.py", line 140, in init
self.load()
File "/home/dl/mxnet-org-bai/tools/caffe-tensorflow-master/kaffe/graph.py", line 146, in load
text_format.Merge(def_file.read(), self.params)
File "/home/dl/anaconda2/envs/tf-0.8.0-gpu-py27/lib/python2.7/site-packages/google/protobuf/text_format.py", line 309, in Merge
return MergeLines(text.split('\n'), message, allow_unknown_extension)
File "/home/dl/anaconda2/envs/tf-0.8.0-gpu-py27/lib/python2.7/site-packages/google/protobuf/text_format.py", line 346, in MergeLines
_ParseOrMerge(lines, message, True, allow_unknown_extension)
File "/home/dl/anaconda2/envs/tf-0.8.0-gpu-py27/lib/python2.7/site-packages/google/protobuf/text_format.py", line 371, in _ParseOrMerge
allow_unknown_extension)
File "/home/dl/anaconda2/envs/tf-0.8.0-gpu-py27/lib/python2.7/site-packages/google/protobuf/text_format.py", line 473, in _MergeField
allow_unknown_extension)
File "/home/dl/anaconda2/envs/tf-0.8.0-gpu-py27/lib/python2.7/site-packages/google/protobuf/text_format.py", line 493, in _MergeField
_MergeScalarField(tokenizer, message, field, allow_multiple_scalars)
File "/home/dl/anaconda2/envs/tf-0.8.0-gpu-py27/lib/python2.7/site-packages/google/protobuf/text_format.py", line 629, in _MergeScalarField
value = tokenizer.ConsumeEnum(field)
File "/home/dl/anaconda2/envs/tf-0.8.0-gpu-py27/lib/python2.7/site-packages/google/protobuf/text_format.py", line 951, in ConsumeEnum
raise self._ParseError(str(e))
google.protobuf.text_format.ParseError: 11:9 : Enum type "caffe.V1LayerParameter.LayerType" has no value named Convolution.

[ethereon]

You'll need to update the prototxt and caffemodel files to the latest version, as described in the notes section of the README. See also: #39

[zsyet]

i've updated them to the latest version by running the upgrade_net_proto_text and upgrade_net_proto_binary, and it worked well, thanks