def METHOD_NAME():
    encoded_msg = ComputationModel._encode_input_data(None, is_src=True)
    assert encoded_msg == [-1] * 512
    encoded_msg = ComputationModel._encode_input_data(12.0, is_src=True)
    assert encoded_msg == [1] + [-1] * 511
    encoded_msg = ComputationModel._encode_input_data("abc", is_src=True)
    assert encoded_msg == [2] + [-1] * 511
    t = torch.rand(2, 512, 32, 32, 64)
    encoded_msg = ComputationModel._encode_input_data(t, is_src=True)
    dtype_str = str(t.dtype)
    true_msg = [0, 5, 2, 512, 32, 32, 64, len(dtype_str), *list(bytearray(dtype_str, "utf-8"))]
    assert encoded_msg == true_msg + [-1] * (512 - len(true_msg))
    t = torch.randint(-1235, 1233, size=(2, 512, 32, 32, 64))
    encoded_msg = ComputationModel._encode_input_data(t, is_src=True)
    dtype_str = str(t.dtype)
    true_msg = [0, 5, 2, 512, 32, 32, 64, len(dtype_str), *list(bytearray(dtype_str, "utf-8"))]
    assert encoded_msg == true_msg + [-1] * (512 - len(true_msg))
    t = torch.tensor(12)
    encoded_msg = ComputationModel._encode_input_data(t, is_src=True)
    dtype_str = str(t.dtype)
    true_msg = [0, 0, len(dtype_str), *list(bytearray(dtype_str, "utf-8"))]
    assert encoded_msg == true_msg + [-1] * (512 - len(true_msg))
    for t in [None, "abc", torch.rand(2, 512, 32, 32, 64), 12.34, object()]:
        encoded_msg = ComputationModel._encode_input_data(t, is_src=False)
        assert encoded_msg == [-1] * 512