From f3f4e74eb4dbb8829e5ee136ba4b0c0a7938b551 Mon Sep 17 00:00:00 2001 From: Determinant Date: Sat, 20 Jun 2015 20:00:25 +0800 Subject: change concept of ParamRepo; provide generalized param update; code clean-up; #25 #26 #27 #29 --- examples/swb_baseline.lua | 87 ++++++++++++++++++++++++----------------------- 1 file changed, 45 insertions(+), 42 deletions(-) (limited to 'examples/swb_baseline.lua') diff --git a/examples/swb_baseline.lua b/examples/swb_baseline.lua index 28cc6d5..8b7e01a 100644 --- a/examples/swb_baseline.lua +++ b/examples/swb_baseline.lua @@ -6,14 +6,10 @@ gconf = {lrate = 0.8, wcost = 1e-6, momentum = 0.9, 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", - global_transf = "/slfs1/users/mfy43/swb_global_transf.nerv", - initialized_param = "/slfs1/users/mfy43/swb_init.nerv", + initialized_param = {"/slfs1/users/mfy43/swb_init.nerv", + "/slfs1/users/mfy43/swb_global_transf.nerv"}, debug = false} -function make_param_repo(param_file) - return nerv.ParamRepo({param_file, gconf.global_transf}) -end - function make_sublayer_repo(param_repo) return nerv.LayerRepo( { @@ -60,7 +56,7 @@ function make_sublayer_repo(param_repo) }, ["nerv.SoftmaxCELayer"] = { - criterion = {{}, {dim_in = {3001, 1}, dim_out = {}, compressed = true}} + ce_crit = {{}, {dim_in = {3001, 1}, dim_out = {1}, compressed = true}} } }, param_repo, gconf) end @@ -82,7 +78,7 @@ function make_layer_repo(sublayer_repo, param_repo) } }}, main = {{}, { - dim_in = {429, 1}, dim_out = {}, + dim_in = {429, 1}, dim_out = {1}, sub_layers = sublayer_repo, connections = { ["[1]"] = "affine0[1]", @@ -100,8 +96,9 @@ function make_layer_repo(sublayer_repo, param_repo) ["sigmoid5[1]"] = "affine6[1]", ["affine6[1]"] = "sigmoid6[1]", ["sigmoid6[1]"] = "affine7[1]", - ["affine7[1]"] = "criterion[1]", - ["[2]"] = "criterion[2]" + ["affine7[1]"] = "ce_crit[1]", + ["[2]"] = "ce_crit[2]", + ["ce_crit[1]"] = "[1]" } }} } @@ -109,55 +106,61 @@ function make_layer_repo(sublayer_repo, param_repo) end function get_criterion_layer(sublayer_repo) - return sublayer_repo:get_layer("criterion") + return sublayer_repo:get_layer("ce_crit") end function get_network(layer_repo) return layer_repo:get_layer("main") end -function make_reader(scp_file, layer_repo) - return 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") - }) +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(reader, buffer) +function make_buffer(readers) return nerv.SGDBuffer(gconf, { buffer_size = gconf.buffer_size, randomize = gconf.randomize, - readers = { - { reader = reader, - data = {main_scp = 429, phone_state = 1}} - } + readers = readers }) end -function get_accuracy(crit) - return crit.total_correct / crit.total_frames * 100 +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(crit) +function print_stat(sublayer_repo) + local ce_crit = sublayer_repo:get_layer("ce_crit") nerv.info("*** training stat begin ***") - nerv.utils.printf("cross entropy:\t\t%.8f\n", crit.total_ce) - nerv.utils.printf("correct:\t\t%d\n", crit.total_correct) - nerv.utils.printf("frames:\t\t\t%d\n", crit.total_frames) - nerv.utils.printf("err/frm:\t\t%.8f\n", crit.total_ce / crit.total_frames) - nerv.utils.printf("accuracy:\t\t%.3f%%\n", get_accuracy(crit)) + 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 -- cgit v1.2.3