From 0d3d8f4afdc38726b8ed933dbfcb85e759145c43 Mon Sep 17 00:00:00 2001
From: Determinant <ted.sybil@gmail.com>
Date: Tue, 2 Jun 2015 12:51:18 +0800
Subject: add preprocessing layers and change layer constructor interface

---
 examples/test_dnn_layers.lua | 34 +++++++++++++++++++---------------
 1 file changed, 19 insertions(+), 15 deletions(-)

(limited to 'examples/test_dnn_layers.lua')

diff --git a/examples/test_dnn_layers.lua b/examples/test_dnn_layers.lua
index 866e685..9be9d71 100644
--- a/examples/test_dnn_layers.lua
+++ b/examples/test_dnn_layers.lua
@@ -11,10 +11,14 @@ bp = pf:read_chunk("b", global_conf)
 
 -- print(bp.trans)
 
-af = nerv.AffineLayer("test", global_conf, ltp, bp)
-sg = nerv.SigmoidLayer("test2", global_conf)
-sm = nerv.SoftmaxCELayer("test3", global_conf)
-
+af = nerv.AffineLayer("test", global_conf, {["ltp"] = ltp,
+                                            ["bp"] = bp,
+                                            dim_in = {429},
+                                            dim_out = {2048}})
+sg = nerv.SigmoidLayer("test2", global_conf, {dim_in = {2048},
+                                                dim_out = {2048}})
+sm = nerv.SoftmaxCELayer("test3", global_conf, {dim_in = {2048, 2048},
+                                                dim_out = {}})
 af:init()
 sg:init()
 sm:init()
@@ -27,18 +31,18 @@ for i = 0, 9 do
     label[i][i] = 1.0
 end
 
-input1 = {[0] = df:read_chunk("input", global_conf).trans}
-output1 = {[0] = nerv.CuMatrixFloat(10, 2048)}
+input1 = {df:read_chunk("input", global_conf).trans}
+output1 = {nerv.CuMatrixFloat(10, 2048)}
 input2 = output1
-output2 = {[0] = nerv.CuMatrixFloat(10, 2048)}
-input3 = {[0] = output2[0], [1] = label}
+output2 = {nerv.CuMatrixFloat(10, 2048)}
+input3 = {output2[1], label}
 output3 = nil
 err_input1 = nil
-err_output1 = {[0] = nerv.CuMatrixFloat(10, 2048)}
+err_output1 = {nerv.CuMatrixFloat(10, 2048)}
 err_input2 = err_output1
-err_output2 = {[0] = nerv.CuMatrixFloat(10, 2048)}
+err_output2 = {nerv.CuMatrixFloat(10, 2048)}
 err_input3 = err_output2
-err_output3 = {[0] = input1[0]:create()}
+err_output3 = {input1[1]:create()}
 
 for i = 0, 3 do
     -- propagate
@@ -59,13 +63,13 @@ for i = 0, 3 do
 
 
     print("output1")
-    print(output1[0])
+    print(output1[1])
     print("output2")
-    print(output2[0])
+    print(output2[1])
     print("err_output1")
-    print(err_output1[0])
+    print(err_output1[1])
     print("err_output2")
-    print(err_output2[0])
+    print(err_output2[1])
     nerv.utils.printf("cross entropy: %.8f\n", sm.total_ce)
     nerv.utils.printf("frames: %.8f\n", sm.total_frames)
 end
-- 
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