major change: use luarocks to manage project

1 files changed, 0 insertions, 166 deletions

diff --git a/examples/swb_baseline.lua b/examples/swb_baseline.lua
deleted file mode 100644
index 8b7e01a..0000000
--- a/examples/swb_baseline.lua
+++ /dev/null
@@ -1,166 +0,0 @@
-require 'speech.init'
-gconf = {lrate = 0.8, wcost = 1e-6, momentum = 0.9,
-        cumat_type = nerv.CuMatrixFloat,
-        mmat_type = nerv.MMatrixFloat,
-        frm_ext = 5,
-        tr_scp = "/slfs1/users/mfy43/swb_ivec/train_bp.scp",
-        cv_scp = "/slfs1/users/mfy43/swb_ivec/train_cv.scp",
-        htk_conf = "/slfs1/users/mfy43/swb_ivec/plp_0_d_a.conf",
-        initialized_param = {"/slfs1/users/mfy43/swb_init.nerv",
-                "/slfs1/users/mfy43/swb_global_transf.nerv"},
-        debug = false}
-
-function make_sublayer_repo(param_repo)
-    return nerv.LayerRepo(
-    {
-        -- global transf
-        ["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}}}
-        },
-        -- biased linearity
-        ["nerv.AffineLayer"] =
-        {
-            affine0 = {{ltp = "affine0_ltp", bp = "affine0_bp"},
-            {dim_in = {429}, dim_out = {2048}}},
-            affine1 = {{ltp = "affine1_ltp", bp = "affine1_bp"},
-            {dim_in = {2048}, dim_out = {2048}}},
-            affine2 = {{ltp = "affine2_ltp", bp = "affine2_bp"},
-            {dim_in = {2048}, dim_out = {2048}}},
-            affine3 = {{ltp = "affine3_ltp", bp = "affine3_bp"},
-            {dim_in = {2048}, dim_out = {2048}}},
-            affine4 = {{ltp = "affine4_ltp", bp = "affine4_bp"},
-            {dim_in = {2048}, dim_out = {2048}}},
-            affine5 = {{ltp = "affine5_ltp", bp = "affine5_bp"},
-            {dim_in = {2048}, dim_out = {2048}}},
-            affine6 = {{ltp = "affine6_ltp", bp = "affine6_bp"},
-            {dim_in = {2048}, dim_out = {2048}}},
-            affine7 = {{ltp = "affine7_ltp", bp = "affine7_bp"},
-            {dim_in = {2048}, dim_out = {3001}}}
-        },
-        ["nerv.SigmoidLayer"] =
-        {
-            sigmoid0 = {{}, {dim_in = {2048}, dim_out = {2048}}},
-            sigmoid1 = {{}, {dim_in = {2048}, dim_out = {2048}}},
-            sigmoid2 = {{}, {dim_in = {2048}, dim_out = {2048}}},
-            sigmoid3 = {{}, {dim_in = {2048}, dim_out = {2048}}},
-            sigmoid4 = {{}, {dim_in = {2048}, dim_out = {2048}}},
-            sigmoid5 = {{}, {dim_in = {2048}, dim_out = {2048}}},
-            sigmoid6 = {{}, {dim_in = {2048}, dim_out = {2048}}}
-        },
-        ["nerv.SoftmaxCELayer"] =
-        {
-            ce_crit = {{}, {dim_in = {3001, 1}, dim_out = {1}, compressed = true}}
-        }
-    }, param_repo, gconf)
-end
-
-function make_layer_repo(sublayer_repo, param_repo)
-    return nerv.LayerRepo(
-    {
-        ["nerv.DAGLayer"] =
-        {
-            global_transf = {{}, {
-                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]"
-                }
-            }},
-            main = {{}, {
-                dim_in = {429, 1}, dim_out = {1},
-                sub_layers = sublayer_repo,
-                connections = {
-                    ["<input>[1]"] = "affine0[1]",
-                    ["affine0[1]"] = "sigmoid0[1]",
-                    ["sigmoid0[1]"] = "affine1[1]",
-                    ["affine1[1]"] = "sigmoid1[1]",
-                    ["sigmoid1[1]"] = "affine2[1]",
-                    ["affine2[1]"] = "sigmoid2[1]",
-                    ["sigmoid2[1]"] = "affine3[1]",
-                    ["affine3[1]"] = "sigmoid3[1]",
-                    ["sigmoid3[1]"] = "affine4[1]",
-                    ["affine4[1]"] = "sigmoid4[1]",
-                    ["sigmoid4[1]"] = "affine5[1]",
-                    ["affine5[1]"] = "sigmoid5[1]",
-                    ["sigmoid5[1]"] = "affine6[1]",
-                    ["affine6[1]"] = "sigmoid6[1]",
-                    ["sigmoid6[1]"] = "affine7[1]",
-                    ["affine7[1]"] = "ce_crit[1]",
-                    ["<input>[2]"] = "ce_crit[2]",
-                    ["ce_crit[1]"] = "<output>[1]"
-                }
-            }}
-        }
-    }, param_repo, gconf)
-end
-
-function get_criterion_layer(sublayer_repo)
-    return sublayer_repo:get_layer("ce_crit")
-end
-
-function get_network(layer_repo)
-    return layer_repo:get_layer("main")
-end
-
-function make_readers(scp_file, layer_repo)
-    return {
-                {reader = nerv.TNetReader(gconf,
-                    {
-                        id = "main_scp",
-                        scp_file = scp_file,
-                        conf_file = gconf.htk_conf,
-                        frm_ext = gconf.frm_ext,
-                        mlfs = {
-                            phone_state = {
-                                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("global_transf")
-                    }),
-                data = {main_scp = 429, phone_state = 1}}
-            }
-end
-
-function make_buffer(readers)
-    return nerv.SGDBuffer(gconf,
-        {
-            buffer_size = gconf.buffer_size,
-            randomize = gconf.randomize,
-            readers = readers
-        })
-end
-
-function get_input_order()
-    return {"main_scp", "phone_state"}
-end
-
-function get_accuracy(sublayer_repo)
-    local ce_crit = sublayer_repo:get_layer("ce_crit")
-    return ce_crit.total_correct / ce_crit.total_frames * 100
-end
-
-function print_stat(sublayer_repo)
-    local ce_crit = sublayer_repo:get_layer("ce_crit")
-    nerv.info("*** training stat begin ***")
-    nerv.printf("cross entropy:\t\t%.8f\n", ce_crit.total_ce)
-    nerv.printf("correct:\t\t%d\n", ce_crit.total_correct)
-    nerv.printf("frames:\t\t\t%d\n", ce_crit.total_frames)
-    nerv.printf("err/frm:\t\t%.8f\n", ce_crit.total_ce / ce_crit.total_frames)
-    nerv.printf("accuracy:\t\t%.3f%%\n", get_accuracy(sublayer_repo))
-    nerv.info("*** training stat end ***")
-end