how to write caffe python layer with trainable parameters?

Question

I want to learn how to write caffe python layers.
But I only find examples about very simple layers like pyloss.

How to write python caffe with trainable parameters?

For example, how to write a fully connected python layer?

Possible duplicate of Caffe: how to get the phase of a Python layer? — Shai
– Shai, Commented Jan 27, 2016 at 6:17
@Shai, I don't think this two are the same question. My question is how to creat a python layer with parameters, for example, how to implement a python fully connected layers? — kli_nlpr
– kli_nlpr, Commented Jan 27, 2016 at 6:27
The other question is about writing a python layer with parameters - which is exactly the title of your question. — Shai
– Shai, Commented Jan 27, 2016 at 6:29

Community · Accepted Answer · 2017-05-23 11:53:47Z

1

Caffe stores the layer's trainable parameters as a vector of blobs. By default this vector is empty and it is up to you to add parameters blobs to it in the setup of the layer. There is a simple example for a layer with parameters in test_python_layer.py.

See this post for more information about "Python" layers in caffe.

edited May 23, 2017 at 11:53

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answered Jan 27, 2016 at 6:59

Shai

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