Slice or split data using python NetSpec()

[inferrna]

I need to split input some data into 3 blocks, process all it separately and join after. When I try to get knowing count of tops it gives me this error:

    n.lr, n.lg, n.lb = L.Slice(n.data, slice_param={'axis':1})
TypeError: 'Top' object is not iterable

When I changed code to

    n.lr = L.Slice(n.data, slice_param={'axis':1})

it seems to works and even produces block inside prototxt:

layer {
  name: "lr"
  type: "Slice"
  bottom: "data"
  top: "lr"
  slice_param {
    axis: 1
  }
}

but really it just leaves data unchanged:

I0722 01:55:31.749025 14994 net.cpp:160] Setting up data
I0722 01:55:31.749075 14994 net.cpp:168] Top shape: 32 3 8 1280 (983040)
I0722 01:55:31.749099 14994 layer_factory.hpp:78] Creating layer lr
I0722 01:55:31.749116 14994 net.cpp:109] Creating Layer lr
I0722 01:55:31.749145 14994 net.cpp:470] lr <- data
I0722 01:55:31.749157 14994 net.cpp:439] lr -> lr
I0722 01:55:31.749181 14994 net.cpp:160] Setting up lr
I0722 01:55:31.749191 14994 net.cpp:168] Top shape: 32 3 8 1280 (983040)

If I wrong somewhere, it would be nice to see example how to do it properly.

[myyan92]

I am having the same problem. I also tried
n.top = L.Slice(n.bottom, slice_param=dict(axis=0,slice_point=[batchsize,2*batchsize]), top=[n.top1,n.top2])
then there is keyError on n.top1

[lliuz]

you should use

n.lr = L.Slice(n.data, slice_param={'axis':1}, ntop=3)

[hongzhenwang]

The write code is
n.lr, n.lg, n.lb = L.Slice(n.data, slice_param={'axis':1},ntop=3)