From a753eca0121ac3ec81ed76bd719d3f1cb9522680 Mon Sep 17 00:00:00 2001
From: Determinant <ted.sybil@gmail.com>
Date: Wed, 3 Jun 2015 23:00:30 +0800
Subject: ...

---
 examples/tnet_preprocessing_example.lua  |  2 +-
 examples/tnet_preprocessing_example2.lua |  2 +-
 examples/tnet_sgd_buffer.lua             | 70 ++++++++++++++++++++++++++++++++
 3 files changed, 72 insertions(+), 2 deletions(-)
 create mode 100644 examples/tnet_sgd_buffer.lua

(limited to 'examples')

diff --git a/examples/tnet_preprocessing_example.lua b/examples/tnet_preprocessing_example.lua
index 8a65b44..5f20910 100644
--- a/examples/tnet_preprocessing_example.lua
+++ b/examples/tnet_preprocessing_example.lua
@@ -1,6 +1,6 @@
 require 'libspeech'
 frm_ext = 5
-gconf = {mat_type = nerv.CuMatrixFloat,
+gconf = {cumat_type = nerv.CuMatrixFloat,
         batch_size = 158}
 param_repo = nerv.ParamRepo({"global_transf.nerv"})
 sublayer_repo = nerv.LayerRepo(
diff --git a/examples/tnet_preprocessing_example2.lua b/examples/tnet_preprocessing_example2.lua
index ae8d86b..8e1bc85 100644
--- a/examples/tnet_preprocessing_example2.lua
+++ b/examples/tnet_preprocessing_example2.lua
@@ -1,5 +1,5 @@
 require 'speech.init'
-gconf = {mat_type = nerv.CuMatrixFloat,
+gconf = {cumat_type = nerv.CuMatrixFloat,
         batch_size = 158}
 param_repo = nerv.ParamRepo({"global_transf.nerv"})
 
diff --git a/examples/tnet_sgd_buffer.lua b/examples/tnet_sgd_buffer.lua
new file mode 100644
index 0000000..152d2f5
--- /dev/null
+++ b/examples/tnet_sgd_buffer.lua
@@ -0,0 +1,70 @@
+require 'speech.init'
+gconf = {cumat_type = nerv.CuMatrixFloat,
+        mmat_type = nerv.MMatrixFloat,
+        batch_size = 256}
+param_repo = nerv.ParamRepo({"global_transf.nerv"})
+
+sublayer_repo = nerv.LayerRepo(
+    {
+        ["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}}}
+        }
+    }, param_repo, gconf)
+
+layer_repo = nerv.LayerRepo(
+    {
+        ["nerv.DAGLayer"] =
+        {
+            main = {{}, {
+                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]"
+                }
+            }}
+        }
+    }, param_repo, gconf)
+
+tnet_reader = nerv.TNetReader({},
+    {
+        id = "main_scp",
+--        scp_file = "/slfs1/users/mfy43/swb_ivec/train_bp.scp",
+        scp_file = "t.scp",
+        conf_file = "/slfs1/users/mfy43/swb_ivec/plp_0_d_a.conf",
+        frm_ext = 5,
+        mlfs = {
+            ref = {
+                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("main")
+    })
+
+buffer = nerv.SGDBuffer(gconf,
+    {
+        buffer_size = 1024,
+        readers = {
+            { reader = tnet_reader,
+              data = {main_scp = 429, ref = 1}}
+        }
+    })
+
+for data in buffer.get_data, buffer do
+    print(data.main_scp)
+--    print(data.ref)
+end
-- 
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