tensor: Fix dimensions for fp16 in script
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@@ -41,9 +41,13 @@ def C_index(threadgroup, thread, register):
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def check_sim_output():
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file = input("simulator output filename: ")
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A_array = np.zeros((16, 8))
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B_array = np.zeros((8, 16))
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C_array = np.zeros((16, 16))
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M = 8
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N = 8
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K = 16
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A_array = np.zeros((M, K))
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B_array = np.zeros((K, N))
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C_array = np.zeros((M, N))
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with open(file) as f:
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for line in f.readlines():
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@@ -87,26 +91,23 @@ def check_sim_output():
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if __name__ == "__main__":
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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'][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_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_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(expected_C)
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expected_C.astype('float32').tofile("c_expected.bin")
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[got_A, got_B, got_C] = check_sim_output()
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print('got C:')
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print(C_array[0:8, 0:8])
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print(C_array)
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print('diff C:')
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print(expected_C[0:8, 0:8] - C_array[0:8, 0:8])
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print(expected_C - C_array)
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assert np.allclose(expected_A, got_A)
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assert np.allclose(expected_B, got_B)
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assert np.allclose(expected_C, got_C)
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