snapshot...

modules/deeplearning/srcnn_l1b_l2_v2.py

@@ -138,20 +138,6 @@ def upsample(tmp):
     return tmp
 
 
-def upsample_nearest(tmp):
-    bsize = tmp.shape[0]
-    tmp_2 = tmp[:, slc_y_2, slc_x_2]
-    up = np.zeros(bsize, t.size, s.size)
-    for k in range(bsize):
-        for j in range(t.size/2):
-            for i in range(s.size/2):
-                up[k, j, i] = tmp_2[k, j, i]
-                up[k, j, i+1] = tmp_2[k, j, i]
-                up[k, j+1, i] = tmp_2[k, j, i]
-                up[k, j+1, i+1] = tmp_2[k, j, i]
-    return up
-
-
 class SRCNN:
     
     def __init__(self):