From: Jihoon Lee <jhoon.it.lee@samsung.com>
Date: Mon, 5 Oct 2020 10:05:24 +0000 (+0900)
Subject: [UTC][nntrainer][Non-ACR][Fix model tc]
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=5b9e8d363e7da3055d25afee83accda4d991f07e;p=test%2Ftct%2Fnative%2Fapi.git

[UTC][nntrainer][Non-ACR][Fix model tc]

**Changes proposed in this PR:**
- Fix rare cases that tct failes due to ANR issue

related issue: TSIX-6702
Related Feature: http://tizen.org/feature/machine_learning.training

Change-Id: I53380085d5e0344a0c1e30636ceaa51bf6fa0a51
Signed-off-by: Jihoon Lee <jhoon.it.lee@samsung.com>
---

diff --git a/src/utc/nntrainer/res/model.ini b/src/utc/nntrainer/res/model.ini
index 794a33366..bb87381e1 100644
--- a/src/utc/nntrainer/res/model.ini
+++ b/src/utc/nntrainer/res/model.ini
@@ -4,19 +4,19 @@ Type = NeuralNetwork	# Model Type : Regression, KNN, NeuralNetwork
 Learning_rate = 0.0001 	# Learning Rate
 Decay_rate = 0.96	# for the decay_rate for the decayed learning rate
 Decay_steps = 1000       # decay step for the exponential decayed learning rate
-Epochs = 3 		# Epoch
+Epochs = 2 		# Epoch
 Optimizer = adam 	# Optimizer : sgd (stochastic gradien decent),
  	    		#             adam (Adamtive Moment Estimation)
 loss = cross  		# Cost(loss) function : mse (mean squared error)
                         #                       cross (cross entropy)
-batch_size = 3
+batch_size = 2
 save_path = "model.bin"  	# model path to save / read
 beta1 = 0.9 		# beta 1 for adam
 beta2 = 0.9999	# beta 2 for adam
 epsilon = 1e-7	# epsilon for adam
 
 [DataSet]
-BufferSize=3
+BufferSize=2
 TrainData="trainingSet.dat"
 ValidData="trainingSet.dat"
 LabelData="label.dat"
@@ -24,7 +24,7 @@ LabelData="label.dat"
 # Layer Section : Name
 [inputlayer]
 Type = input
-Input_Shape = 1:1:62720	# Input Layer Dimensions
+Input_Shape = 1:1:1280	# Input Layer Dimensions
 bias_initializer = zeros	# Zero Bias
 Normalization = true