Fixing inefficient dumping for inputs and weights

llvm/projects/keras/frontend/weight_utils.py

@@ -13,10 +13,8 @@ def dumpLabels(file_name, Y_test):
     for label in Y_test:
         label_val = 0
         if len(Y_test.shape) > 1:        
-          #label_val = np.int8(label[0])
           label_val = np.int32(label[0])
         else:
-          #label_val = np.int8(label)
           label_val = np.int32(label)
          
         if label_val not in labels_map:
@@ -28,7 +26,7 @@ def dumpLabels(file_name, Y_test):
     f.close()
     
 
-    
+"""    
 def dumpData(file_name, X_test):
 
     N = X_test.shape[0]
@@ -37,8 +35,8 @@ def dumpData(file_name, X_test):
     W = X_test.shape[3]
  
     print ("*DumpData")
-    print("-min_val = ", np.amin(X_test))
-    print("-max_val = ", np.amax(X_test))
+    #print("-min_val = ", np.amin(X_test))
+    #print("-max_val = ", np.amax(X_test))
     
     f = open(file_name, "wb")
     for i in range(N):
@@ -50,35 +48,36 @@ def dumpData(file_name, X_test):
 
     f.close()
 
+"""
+
 
 
-"""
 def dumpData(file_name, X_test):
 
-    N = X_test.shape[0]
-    C = X_test.shape[1]
-    H = X_test.shape[2]
-    W = X_test.shape[3]
- 
     print ("*DumpData")
-    print("-min_val = ", np.amin(X_test))
-    print("-max_val = ", np.amax(X_test))
+    #print("-min_val = ", np.amin(X_test))
+    #print("-max_val = ", np.amax(X_test))
 
     f = open(file_name, "wb")
 
+    print ("X.shape = ", X_test.shape)
+    print ("X_test.size", len(X_test))
+    X_test = X_test.flatten()
+    X_test = X_test.astype(np.float32)
     X_test.tofile(f)    
 
     f.close()
 
-"""  
+
   
-    
+"""    
 def dumpConvWeights(file_name, weights, N, C, H, W):
 
     print (weights.shape)
     print ("*DumpConvWeights")
-    print("-min_val = ", np.amin(weights))
-    print("-max_val = ", np.amax(weights))
+
+    #print("-min_val = ", np.amin(weights))
+    #print("-max_val = ", np.amax(weights))
 
     
     f = open(file_name, "wb")
@@ -90,7 +89,31 @@ def dumpConvWeights(file_name, weights, N, C, H, W):
 
     f.close()
 
+"""
 
+
+def dumpConvWeights(file_name, X_test, N, C, H, W):
+
+    print ("*DumpConvWeights")
+    #print("-min_val = ", np.amin(X_test))
+    #print("-max_val = ", np.amax(X_test))
+
+    f = open(file_name, "wb")
+
+    print ("X_test.shape", X_test.shape)
+    print ("X_test.size", len(X_test))
+
+    X_test = np.transpose(X_test, (3, 2, 0, 1))
+
+    print ("X_test.shape", X_test.shape)
+    X_test = X_test.flatten()
+    X_test = X_test.astype(np.float32)
+    X_test.tofile(f)    
+
+    f.close()
+
+
+    
     
 def dumpFcWeights(file_name, weights, H, W):