add ops

torch_mlu_ops-v1.3.2/tools/diff.py

@@ -0,0 +1,26 @@
+#!/usr/bin/env python3
+
+import numpy as np
+import sys
+
+
+def check(x: np.ndarray, y: np.ndarray) -> tuple:
+    error = np.abs(x - y)
+    diff1 = np.sum(error)/np.sum(np.abs(x))
+    diff2 = np.sqrt(np.sum(error**2)/np.sum(x**2))
+
+    max = np.max(error)
+    mean = np.mean(error)
+    return diff1, diff2, max, mean
+
+if "__main__" == __name__:
+    # read command line arguments
+    x = np.loadtxt(sys.argv[1])
+    y = np.loadtxt(sys.argv[2])
+    # compute mean squared error
+    diff1, diff2, max, mean = check(x, y)
+
+    print("diff1: ", diff1)
+    print("diff2: ", diff2)
+    print("max error: ", max)
+    print("mean error: ", mean)