diff options
Diffstat (limited to 'nerv/examples/lmptb/unfold_ptb_main.lua')
| -rw-r--r-- | nerv/examples/lmptb/unfold_ptb_main.lua | 9 |
1 files changed, 5 insertions, 4 deletions
diff --git a/nerv/examples/lmptb/unfold_ptb_main.lua b/nerv/examples/lmptb/unfold_ptb_main.lua index 6c4ead3..5affadf 100644 --- a/nerv/examples/lmptb/unfold_ptb_main.lua +++ b/nerv/examples/lmptb/unfold_ptb_main.lua @@ -8,6 +8,7 @@ require 'lmptb.lmvocab' require 'lmptb.lmfeeder' require 'lmptb.lmutil' +require 'tnn.init' nerv.include('lmptb/layer/init.lua') --[[global function rename]]-- @@ -70,7 +71,7 @@ function prepare_layers(global_conf, paramRepo) }, ["nerv.SelectLinearLayer"] = { - ["selectL1"] = {{["ltp"] = "ltp_ih"}, {["dim_in"] = {1}, ["dim_out"] = {global_conf.hidden_size}}}, + ["selectL1"] = {{["ltp"] = "ltp_ih"}, {["dim_in"] = {1}, ["dim_out"] = {global_conf.hidden_size}, ["vocab"] = global_conf.vocab}}, }, ["nerv.SigmoidLayer"] = { @@ -90,7 +91,7 @@ function prepare_layers(global_conf, paramRepo) for i = 1, global_conf.bptt do layers["nerv.IndRecurrentLayer"]["recurrentL" .. (i + 1)] = recurrentLconfig layers["nerv.SigmoidLayer"]["sigmoidL" .. (i + 1)] = {{}, {["dim_in"] = {global_conf.hidden_size}, ["dim_out"] = {global_conf.hidden_size}}} - layers["nerv.SelectLinearLayer"]["selectL" .. (i + 1)] = {{["ltp"] = "ltp_ih"}, {["dim_in"] = {1}, ["dim_out"] = {global_conf.hidden_size}}} + layers["nerv.SelectLinearLayer"]["selectL" .. (i + 1)] = {{["ltp"] = "ltp_ih"}, {["dim_in"] = {1}, ["dim_out"] = {global_conf.hidden_size}, ["vocab"] = global_conf.vocab}} end local layerRepo = nerv.LayerRepo(layers, paramRepo, global_conf) printf("%s preparing layers end.\n", global_conf.sche_log_pre) @@ -138,7 +139,7 @@ function prepare_dagLayer(global_conf, layerRepo) printf("\t%s->%s\n", key, value) end - local dagL = nerv.DAGLayer("dagL", global_conf, {["dim_in"] = dim_in_t, ["dim_out"] = {1}, ["sub_layers"] = layerRepo, + local dagL = nerv.DAGLayerT("dagL", global_conf, {["dim_in"] = dim_in_t, ["dim_out"] = {1}, ["sub_layers"] = layerRepo, ["connections"] = connections_t, }) dagL:init(global_conf.batch_size) @@ -277,7 +278,7 @@ if (set == "ptb") then global_conf = { lrate = 1, wcost = 1e-6, momentum = 0, cumat_type = nerv.CuMatrixFloat, - mmat_type = nerv.CuMatrixFloat, + mmat_type = nerv.MMatrixFloat, hidden_size = 200, batch_size = 10, |