torch-caffe-binding

A short binding to use Caffe as a module in Torch7. Has the same functionality as MATLAB bindings.

You have to have installed and built Caffe, then do this:

CAFFE_DIR=/*path-to-caffe-root*/ luarocks make

Supported functions:

Net:forward(input)
Net:updateGradInput(input, gradOutput)
Net:getBlobIndx(query_blob_name)
Net:getBlobData(blob_id)
Net:readMean(mean_file_path)
Net:reshape(bnum, cnum, h, w)
Net:saveModel(weights_file)
Net:initGPUMemoryScope()
Net:reset()
Net:setModeCPU()
Net:setModeGPU()
Net:setDevice(device_id)

Examples:

require 'caffe'

net = caffe.Net('deploy.prototxt', 'bvlc_alexnet.caffemodel', 'test')
input = torch.FloatTensor(10,3,227,227)
output = net:forward(input)

gradOutput = torch.FloatTensor(10,1000,1,1)
gradInput = net:backward(input, gradOutput)

User can also use it inside a network as nn.Module, for example:

require 'caffe'

model = nn.Sequential()
model:add(caffe.Net('deploy.prototxt', 'bvlc_alexnet.caffemodel', 'test'))
model:add(nn.Linear(1000,1))