tensor: Fix correctness script

tests/kernel/tensor/check_correctness.py

@@ -1,16 +1,11 @@
 import numpy as np
 import struct
 
-A_array = np.zeros((16, 8))
-B_array = np.zeros((8, 16))
-C_array = np.zeros((16, 16))
-
-file = input("simulator output filename: ")
-
 def hex2float(float_hex_str):
     # print(float_hex_str.strip())
     return struct.unpack(">f",struct.pack(">i",int(float_hex_str,16)))[0]
 
+
 def C_index(threadgroup, thread, register):
     """
     col = ((tg % 4) / 2) * 8;
@@ -43,7 +38,14 @@ def C_index(threadgroup, thread, register):
     return (row, col)
 
 
-with open(file) as f:
+def check_sim_output():
+    file = input("simulator output filename: ")
+
+    A_array = np.zeros((16, 8))
+    B_array = np.zeros((8, 16))
+    C_array = np.zeros((16, 16))
+
+    with open(file) as f:
         for line in f.readlines():
             line = line.strip()
             if "warp" in line:
@@ -80,28 +82,31 @@ with open(file) as f:
                     # print(value)
                     C_array[C_index(threadgroup, thread, register)] = hex2float(value)
 
+    return [A_array, B_array, C_array]
 
-expected = np.load("abc.npz")
-# expected_A = expected['A_array']
-# expected_B = expected['B_array']
-# expected_C = expected['C_array']
-expected_A = expected['A_array'][0:8, 0:8]
-expected_B = expected['B_array'][0:8, 0:8]
-expected_C = expected['C_array'][0:8, 0:8]
-expected_C = expected_C + expected_A @ expected_B
-print('expected A:')
-print(expected_A)
-print('expected B:')
-print(expected_B)
-print('expected C:')
-print(expected_C[0:8, 0:8])
-print('got C:')
-print(C_array[0:8, 0:8])
-print('diff C:')
-print(expected_C[0:8, 0:8] - C_array[0:8, 0:8])
 
-expected_C.astype('float32').tofile("c_expected.bin")
+if __name__ == "__main__":
+    expected = np.load("abc.npz")
+    # expected_A = expected['A_array']
+    # expected_B = expected['B_array']
+    # expected_C = expected['C_array']
+    expected_A = expected['A_array'][0:8, 0:8]
+    expected_B = expected['B_array'][0:8, 0:8]
+    expected_C = expected['C_array'][0:8, 0:8]
+    expected_C = expected_C + expected_A @ expected_B
+    print('expected A:')
+    print(expected_A)
+    print('expected B:')
+    print(expected_B)
+    print('expected C:')
+    print(expected_C[0:8, 0:8])
+    expected_C.astype('float32').tofile("c_expected.bin")
 
-assert np.allclose(expected_A, A_array)
+    [got_A, got_B, got_C] = check_sim_output()
-assert np.allclose(expected_B, B_array)
+    print('got C:')
-assert np.allclose(expected_C, C_array)
+    print(C_array[0:8, 0:8])
+    print('diff C:')
+    print(expected_C[0:8, 0:8] - C_array[0:8, 0:8])
+    assert np.allclose(expected_A, got_A)
+    assert np.allclose(expected_B, got_B)
+    assert np.allclose(expected_C, got_C)