diff --git a/recognition/sample_config.py b/recognition/sample_config.py
index 8b11819..647d367 100644
--- a/recognition/sample_config.py
+++ b/recognition/sample_config.py
@@ -12,6 +12,7 @@ config.net_se = 0
 config.net_act = 'prelu'
 config.net_unit = 3
 config.net_input = 1
+config.net_blocks = [1,4,6,2]
 config.net_output = 'E'
 config.net_multiplier = 1.0
 config.val_targets = ['lfw', 'cfp_fp', 'agedb_30']
@@ -59,6 +60,12 @@ network.y1.net_name = 'fmobilefacenet'
 network.y1.emb_size = 128
 network.y1.net_output = 'GDC'
 
+network.y2 = edict()
+network.y2.net_name = 'fmobilefacenet'
+network.y2.emb_size = 256
+network.y2.net_output = 'GDC'
+network.y2.net_blocks = [2,8,16,4]
+
 network.m1 = edict()
 network.m1.net_name = 'fmobilenet'
 network.m1.emb_size = 256
diff --git a/recognition/symbol/fmobilefacenet.py b/recognition/symbol/fmobilefacenet.py
index 0cfacd6..3050fc9 100644
--- a/recognition/symbol/fmobilefacenet.py
+++ b/recognition/symbol/fmobilefacenet.py
@@ -53,14 +53,18 @@ def get_symbol():
     data = mx.symbol.Variable(name="data")
     data = data-127.5
     data = data*0.0078125
+    blocks = config.net_blocks
     conv_1 = Conv(data, num_filter=64, kernel=(3, 3), pad=(1, 1), stride=(2, 2), name="conv_1")
-    conv_2_dw = Conv(conv_1, num_group=64, num_filter=64, kernel=(3, 3), pad=(1, 1), stride=(1, 1), name="conv_2_dw")
+    if blocks[0]==1:
+      conv_2_dw = Conv(conv_1, num_group=64, num_filter=64, kernel=(3, 3), pad=(1, 1), stride=(1, 1), name="conv_2_dw")
+    else:
+      conv_2_dw = Residual(conv_1, num_block=blocks[0], num_out=64, kernel=(3, 3), stride=(1, 1), pad=(1, 1), num_group=64, name="res_2")
     conv_23 = DResidual(conv_2_dw, num_out=64, kernel=(3, 3), stride=(2, 2), pad=(1, 1), num_group=128, name="dconv_23")
-    conv_3 = Residual(conv_23, num_block=4, num_out=64, kernel=(3, 3), stride=(1, 1), pad=(1, 1), num_group=128, name="res_3")
+    conv_3 = Residual(conv_23, num_block=blocks[1], num_out=64, kernel=(3, 3), stride=(1, 1), pad=(1, 1), num_group=128, name="res_3")
     conv_34 = DResidual(conv_3, num_out=128, kernel=(3, 3), stride=(2, 2), pad=(1, 1), num_group=256, name="dconv_34")
-    conv_4 = Residual(conv_34, num_block=6, num_out=128, kernel=(3, 3), stride=(1, 1), pad=(1, 1), num_group=256, name="res_4")
+    conv_4 = Residual(conv_34, num_block=blocks[2], num_out=128, kernel=(3, 3), stride=(1, 1), pad=(1, 1), num_group=256, name="res_4")
     conv_45 = DResidual(conv_4, num_out=128, kernel=(3, 3), stride=(2, 2), pad=(1, 1), num_group=512, name="dconv_45")
-    conv_5 = Residual(conv_45, num_block=2, num_out=128, kernel=(3, 3), stride=(1, 1), pad=(1, 1), num_group=256, name="res_5")
+    conv_5 = Residual(conv_45, num_block=blocks[3], num_out=128, kernel=(3, 3), stride=(1, 1), pad=(1, 1), num_group=256, name="res_5")
     conv_6_sep = Conv(conv_5, num_filter=512, kernel=(1, 1), pad=(0, 0), stride=(1, 1), name="conv_6sep")
 
     fc1 = symbol_utils.get_fc1(conv_6_sep, num_classes, fc_type)
diff --git a/recognition/symbol/symbol_utils.py b/recognition/symbol/symbol_utils.py
index 67ad913..470880e 100644
--- a/recognition/symbol/symbol_utils.py
+++ b/recognition/symbol/symbol_utils.py
@@ -37,6 +37,10 @@ def get_fc1(last_conv, num_classes, fc_type, input_channel=512):
     body = mx.symbol.Dropout(data=body, p=0.4)
     fc1 = mx.sym.FullyConnected(data=body, num_hidden=num_classes, name='pre_fc1')
     fc1 = mx.sym.BatchNorm(data=fc1, fix_gamma=True, eps=2e-5, momentum=bn_mom, name='fc1')
+  elif fc_type=='FC':
+    body = mx.sym.BatchNorm(data=body, fix_gamma=False, eps=2e-5, momentum=bn_mom, name='bn1')
+    fc1 = mx.sym.FullyConnected(data=body, num_hidden=num_classes, name='pre_fc1')
+    fc1 = mx.sym.BatchNorm(data=fc1, fix_gamma=True, eps=2e-5, momentum=bn_mom, name='fc1')
   elif fc_type=='GAP':
     bn1 = mx.sym.BatchNorm(data=body, fix_gamma=False, eps=2e-5, momentum=bn_mom, name='bn1')
     relu1 = Act(data=bn1, act_type=config.net_act, name='relu1')