Francesco Gatti
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
import argparse
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import os
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import msgpack
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import lmdb
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import random
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import caffe
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import numpy as np
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='CAFFE WEIGHTS EXPORTER TO CUDNN')
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parser.add_argument('model',type=str,
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help='Path to prototxt network model')
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parser.add_argument('weights',type=str,
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help='Path to caffemodel file')
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parser.add_argument('--output', type=str, help="output directory", default="layers")
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args = parser.parse_args()
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if not os.path.exists(args.output):
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os.makedirs(args.output)
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print "\n\n ====== NET LOADED ====== "
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net = caffe.Net(args.model, args.weights, caffe.TEST)
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n_lay = len(net.params)
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print "Number of layers: ", n_lay
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for i in xrange(n_lay):
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key = net.params.keys()[i]
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print "Layer", key
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t = net.layer_dict[key].type
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print " type: ", t
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w = net.params[key][0].data
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b = net.params[key][1].data
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print " weights shape:", np.shape(w)
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print " bias shape:", np.shape(b)
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w.tofile(args.output + "/" + t + str(i) + ".bin", format="f")
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b.tofile(args.output + "/" + t + str(i) + ".bias.bin", format="f")
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