add TNetReader

1 files changed, 43 insertions, 0 deletions

diff --git a/init.lua b/init.lua
new file mode 100644
index 0000000..1f20096
--- /dev/null
+++ b/init.lua
@@ -0,0 +1,43 @@
+require 'libspeech'
+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.feat_repo = nerv.TNetFeatureRepo(reader_conf.scp_file,
+                                          reader_conf.conf_file,
+                                          reader_conf.frm_ext)
+    self.lab_repo = {}
+    for id, mlf_spec in pairs(reader_conf.mlfs) do
+        self.lab_repo[id] = nerv.TNetLabelRepo(mlf_spec.file,
+                                            mlf_spec.format,
+                                            mlf_spec.format_arg,
+                                            mlf_spec.dir,
+                                            mlf_spec.ext)
+    end
+    self.global_transf = reader_conf.global_transf
+end
+
+function TNetReader:get_data()
+    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 rearranged = expanded:create()
+    rearranged:rearrange_frm(expanded, step)
+    local input = {rearranged}
+    local output = {rearranged:create()}
+    self.global_transf:init()
+    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)
+    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())
+        res[id] = lab_utter
+    end
+    self.feat_repo:next()
+    return res
+end