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authorDeterminant <[email protected]>2015-06-22 19:01:29 +0800
committerDeterminant <[email protected]>2015-06-22 19:01:29 +0800
commit2497fd9e7a0fae5ee4887890d7a312e0e08a93b8 (patch)
tree382f97575bd2df9ee6abb1662b11b279fc22d72b /examples/swb_baseline.lua
parent196e9b48a3541caccdffc5743001cced70667091 (diff)
major change: use luarocks to manage project
Diffstat (limited to 'examples/swb_baseline.lua')
-rw-r--r--examples/swb_baseline.lua166
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