tensor: generate 8x8 in correctness script
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@@ -82,16 +82,23 @@ with open(file) as f:
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expected = np.load("abc.npz")
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expected_A = expected['A_array']
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expected_B = expected['B_array']
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expected_C = expected['C_array']
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# expected_A = expected['A_array']
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# expected_B = expected['B_array']
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# expected_C = expected['C_array']
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expected_A = expected['A_array'][0:8, 0:8]
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expected_B = expected['B_array'][0:8, 0:8]
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expected_C = expected['C_array'][0:8, 0:8]
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expected_C = expected_C + expected_A @ expected_B
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print('expected A:')
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print(expected_A)
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print('expected B:')
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print(expected_B)
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print('expected C:')
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print(expected_C[0:8, 0:8])
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print('got C:')
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print(C_array[0:8, 0:8])
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print('diff C:')
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print((expected_C - C_array)[0:8, 0:8])
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print(expected_C[0:8, 0:8] - C_array[0:8, 0:8])
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expected_C.astype('float32').tofile("c_expected.bin")
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