diff --git a/scripts/nnom.py b/scripts/nnom.py
index b390f80..7bfe99e 100644
--- a/scripts/nnom.py
+++ b/scripts/nnom.py
@@ -937,13 +937,13 @@ def gen_weight_tensor(w, per_axis):
                 if (cfg['activation'] == 'relu'):
                     fp.write('\tlayer[%s] = model.active(act_relu(), layer[%s]);\n' % (id, LI[inp][0]))
                 elif (cfg['activation'] == 'tanh'):
-                    fp.write('\tlayer[%s] = model.active(act_tanh(%s_OUTPUT_DEC), layer[%s]);\n' % (
+                    fp.write('\tlayer[%s] = model.active(act_hard_tanh(%s_OUTPUT_DEC), layer[%s]);\n' % (
                     id, inp.upper(), LI[inp][0]))
                 elif (cfg['activation'] == 'sigmoid'):
                     fp.write('\tlayer[%s] = model.active(act_sigmoid(%s_OUTPUT_DEC), layer[%s]);\n' % (
                     id, inp.upper(), LI[inp][0]))
                 elif (cfg['activation'] == 'hard_sigmoid'):
-                    fp.write('\tlayer[%s] = model.active(act_sigmoid(%s_OUTPUT_DEC), layer[%s]);\n' % (
+                    fp.write('\tlayer[%s] = model.active(act_hard_sigmoid(%s_OUTPUT_DEC), layer[%s]);\n' % (
                     id, inp.upper(), LI[inp][0]))
                 elif (cfg['activation'] == 'softmax'):
                     fp.write('\tlayer[%s] = model.hook(Softmax(), layer[%s]);\n' % (id, LI[inp][0]))
diff --git a/src/backends/nnom_local.c b/src/backends/nnom_local.c
index 8c1d510..b4faf5f 100644
--- a/src/backends/nnom_local.c
+++ b/src/backends/nnom_local.c
@@ -1557,7 +1557,7 @@ void local_softmax_q7(const q7_t *vec_in, const uint32_t dim_vec, q7_t *p_out)
 // otherwise y = 0.2 * x + 0.5 (y=0.20315 * x + 0.5)
 void local_hard_sigmoid_q7(q7_t *data, uint32_t size, int16_t dec_bit)
 {
-	int16_t limit = 2.5f * (1<<dec_bit)-1; 
+	int16_t limit = 2.5f * (1 << dec_bit)-1; 
 	int16_t offset = 64;	// 0.5 * 128
 	int16_t mult = 26;  	// 0.2 * 128
 
@@ -1570,7 +1570,7 @@ void local_hard_sigmoid_q7(q7_t *data, uint32_t size, int16_t dec_bit)
 			data[i] = 127;
 		else
 		{
-			data[i] = ((int16_t)data[i] * mult >> dec_bit) + offset;
+			data[i] = ((int16_t)(data[i] * mult) >> dec_bit) + offset;
 		} 
 	}   
  }
@@ -1587,7 +1587,7 @@ void local_hard_tanh_q7(q7_t *data, uint32_t size, int16_t dec_bit)
     if(dec_bit == 7)
         return;
 	
-	// int bit > 0
+	// int bit < 0
 	if(int_bit < 0)
 		for(int i=0; i<size; i++)
 		{
diff --git a/src/core/nnom.c b/src/core/nnom.c
index 1667571..6474bcb 100644
--- a/src/core/nnom.c
+++ b/src/core/nnom.c
@@ -931,9 +931,9 @@ nnom_status_t model_compile(nnom_model_t *m, nnom_layer_t *input, nnom_layer_t *
 	NNOM_LOG("-------------------------------------------------------------------------------------------------\n");
 
 	// if model's tail is not the last layer which built by user.
-	if (output != layer_shortcut_find_last(input))
-		NNOM_LOG("WARNING: model returned at #%d %s layer, but this layer is not the end of shortcut list \n",
-			find_index(m->head, output), default_layer_names[output->type]);
+	if (output->type != NNOM_OUTPUT)
+		NNOM_LOG("WARNING: the last layer '%s' is not the Output Layer, please check carefully.\n",
+			default_layer_names[output->type]);
 
 	// get the total (aligned) memory requirement
 	buf_size = mem_analysis_result(m);