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Add prelu layer support for caffe convert tool #4277
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piiswrong
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Dec 18, 2016
| @@ -165,6 +165,10 @@ def proto2script(proto_file): | |||
| type_string = 'mx.symbol.BatchNorm' | |||
| param = layer[i].batch_norm_param | |||
| param_string = 'use_global_stats=%s' % param.use_global_stats | |||
| if layer[i].type == 'PReLU': | |||
| type_string = 'mx.symbol.LeakyReLU' | |||
| param_string = "act_type='prelu'" | |||
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also need to copy slope parameter
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thanks, i will add it later
|
have you tested this on a real .proto? |
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@piiswrong Yes,i have used the code to convert the center loss(https://github.com/ydwen/caffe-face/blob/caffe-face/face_example/face_deploy.prototxt) model to mxnet model |
rravu3
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Jan 21, 2017
* add prelu support * fix params
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I add the support for prelu layer for the caffe convert tool, and use the code to convert the center loss(https://github.com/ydwen/caffe-face/blob/caffe-face/face_example/face_deploy.prototxt) model to mxnet model, which use prelu as its nonlinear activation function. And get the same output between mxnet and caffe.