let HTK I/O implementation be a single package

1 files changed, 0 insertions, 68 deletions

diff --git a/examples/tnet_preprocessing_example2.lua b/examples/tnet_preprocessing_example2.lua
deleted file mode 100644
index 1215b23..0000000
--- a/examples/tnet_preprocessing_example2.lua
+++ /dev/null
@@ -1,68 +0,0 @@
-require 'speech.init'
-gconf = {cumat_type = nerv.CuMatrixFloat,
-        batch_size = 158}
-param_repo = nerv.ParamRepo({"global_transf.nerv"})
-
-sublayer_repo = nerv.LayerRepo(
-    {
-        ["nerv.BiasLayer"] =
-        {
-            blayer1 = {{bias = "bias1"}, {dim_in = {429}, dim_out = {429}}},
-            blayer2 = {{bias = "bias2"}, {dim_in = {429}, dim_out = {429}}}
-        },
-        ["nerv.WindowLayer"] =
-        {
-            wlayer1 = {{window = "window1"}, {dim_in = {429}, dim_out = {429}}},
-            wlayer2 = {{window = "window2"}, {dim_in = {429}, dim_out = {429}}}
-        }
-    }, param_repo, gconf)
-
-layer_repo = nerv.LayerRepo(
-    {
-        ["nerv.DAGLayer"] =
-        {
-            main = {{}, {
-                dim_in = {429}, dim_out = {429},
-                sub_layers = sublayer_repo,
-                connections = {
-                    ["<input>[1]"] = "blayer1[1]",
-                    ["blayer1[1]"] = "wlayer1[1]",
-                    ["wlayer1[1]"] = "blayer2[1]",
-                    ["blayer2[1]"] = "wlayer2[1]",
-                    ["wlayer2[1]"] = "<output>[1]"
-                }
-            }}
-        }
-    }, param_repo, gconf)
-
-reader = nerv.TNetReader({},
-    {
-        id = "main_scp",
-        scp_file = "/slfs1/users/mfy43/swb_ivec/train_bp.scp",
-        conf_file = "/slfs1/users/mfy43/swb_ivec/plp_0_d_a.conf",
-        frm_ext = 5,
-        mlfs = {
-            ref = {
-                file = "/slfs1/users/mfy43/swb_ivec/ref.mlf",
-                format = "map",
-                format_arg = "/slfs1/users/mfy43/swb_ivec/dict",
-                dir = "*/",
-                ext = "lab"
-            }
-        },
-        global_transf = layer_repo:get_layer("main")
-    })
-
-utter = reader:get_data()
--- print(utter.main_scp)
-print(utter.ref)
--- cf2 = nerv.ChunkFile("feat_256", "r")
--- input = cf2:read_chunk("input", gconf)
-
--- for i = 0, 157 - 10 do
---     row_diff = input.trans[i] - utter.main_scp[i]
---     for j = 0, row_diff:ncol() - 1 do
---         nerv.printf("%.8f ", row_diff[j])
---     end
---     nerv.printf("\n")
--- end