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-rw-r--r--init.lua16
1 files changed, 10 insertions, 6 deletions
diff --git a/init.lua b/init.lua
index 1f20096..39a1e9e 100644
--- a/init.lua
+++ b/init.lua
@@ -4,6 +4,8 @@ local TNetReader = nerv.class("nerv.TNetReader", "nerv.DataReader")
function TNetReader:__init(global_conf, reader_conf)
self.feat_id = reader_conf.id
self.frm_ext = reader_conf.frm_ext
+ self.gconf = global_conf
+ self.global_transf = reader_conf.global_transf
self.feat_repo = nerv.TNetFeatureRepo(reader_conf.scp_file,
reader_conf.conf_file,
reader_conf.frm_ext)
@@ -15,24 +17,26 @@ function TNetReader:__init(global_conf, reader_conf)
mlf_spec.dir,
mlf_spec.ext)
end
- self.global_transf = reader_conf.global_transf
end
function TNetReader:get_data()
+ if self.feat_repo:is_end() then
+ return nil
+ end
local res = {}
local frm_ext = self.frm_ext
local step = frm_ext * 2 + 1
local feat_utter = self.feat_repo:cur_utter()
- local expanded = nerv.CuMatrixFloat(feat_utter:nrow(), feat_utter:ncol() * step)
- expanded:expand_frm(nerv.CuMatrixFloat.new_from_host(feat_utter), frm_ext)
+ local expanded = self.gconf.cumat_type(feat_utter:nrow(), feat_utter:ncol() * step)
+ expanded:expand_frm(self.gconf.cumat_type.new_from_host(feat_utter), frm_ext)
local rearranged = expanded:create()
rearranged:rearrange_frm(expanded, step)
local input = {rearranged}
local output = {rearranged:create()}
- self.global_transf:init()
+ self.global_transf:init(input[1]:nrow())
self.global_transf:propagate(input, output)
- expanded = nerv.CuMatrixFloat(output[1]:nrow() - frm_ext * 2, output[1]:ncol())
- expanded:copy_fromd(output[1], frm_ext, feat_utter:nrow() - frm_ext)
+ expanded = self.gconf.mmat_type(output[1]:nrow() - frm_ext * 2, output[1]:ncol())
+ output[1]:copy_toh(expanded, frm_ext, feat_utter:nrow() - frm_ext)
res[self.feat_id] = expanded
for id, repo in pairs(self.lab_repo) do
local lab_utter = repo:get_utter(self.feat_repo, expanded:nrow())