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print 'Hello'
local global_conf = {
cumat_type = nerv.CuMatrixFloat,
param_random = function() return 0 end,
}
local layer_repo = nerv.LayerRepo(
{
['nerv.RNNLayer'] = {
rnn = {dim_in = {23}, dim_out = {26}},
},
['nerv.AffineLayer'] = {
input = {dim_in = {20}, dim_out = {23}},
output = {dim_in = {26, 79}, dim_out = {79}},
},
['nerv.SigmoidLayer'] = {
sigmoid = {dim_in = {23}, dim_out = {23}},
},
}, nerv.ParamRepo(), global_conf)
local connections = {
{'<input>[1]', 'input[1]', 0},
{'input[1]', 'sigmoid[1]', 0},
{'sigmoid[1]', 'rnn[1]', 0},
{'rnn[1]', 'output[1]', 0},
{'output[1]', 'output[2]', 1},
{'output[1]', '<output>[1]', 0},
}
local network = nerv.GraphLayer('network', global_conf, {dim_in = {20}, dim_out = {79}, layer_repo = layer_repo, connections = connections})
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