add restar training

Model/DAE/AV_Concat_DAE/Bi_DAE_Concat_Restart_Training.py

+import sys
+import os
+sys.path.append(os.path.join(os.path.dirname(__file__), '../../../'))
+from Concat_DAE_4_speech import DAE_4_speech
+import tensorflow as tf
+import numpy as np
+np.set_printoptions(threshold='nan')
+
+if __name__ == '__main__':
+    num_epochs = 500
+    batch_size = 30
+    nIn_audio = 257
+    nIn_video = 134
+    nHidden = [500,600]
+    nHidden_encode = 750
+    learningRate = 0.001
+    training_log_dir = "./test_log/"
+    updating_step = 2250
+    test_step= 10
+    learningDecay = 1
+    momentum = 0.9
+    test_name="MULTI_GRID_100_Spectro_motion_Concat_DAE_4_speech_Test_lr-"+str(learningRate)+"_batch_size-"+str(batch_size)+"_n_hidden_encode-"+str(nHidden_encode)
+    data_path="/home/storage/Data/MULTI_GRID_100/rawAudioMotionTfRec/"
+
+    graph = tf.Graph()
+
+    config = tf.ConfigProto()
+    config.gpu_options.allow_growth = True
+    graph = tf.Graph()
+    with tf.Session(graph=graph) as sess:
+        model = DAE_4_speech(sess=sess, graph=graph, n_in_audio=nIn_audio, n_in_video=nIn_video, n_hidden=nHidden,
+                             n_hidden_encode=nHidden_encode, batch_size=batch_size, learning_rate=learningRate,
+                             learning_decay=learningDecay, momentum=momentum, updating_step=updating_step)
+        model.restore_model("./test_log/MULTI_GRID_100_Spectro_motion_Concat_DAE_4_speech_Test_lr-0.001_batch_size-30_n_hidden_encode-750.ckpt-20")
+
+        model.training_model(training_set_path=os.path.join(data_path,"TRAIN_CTC_SENTENCES"),
+                             test_set_path=os.path.join(data_path,"TEST_CTC_SENTENCES"),
+                             validation_set_path=os.path.join(data_path,"VAL_CTC_SENTENCES"),
+                             n_epoch=num_epochs, test_step=test_step, test_name=test_name,
+                             log_dir=training_log_dir)
+
+