human
Solve the following python programming problem given the following code:
@ attr ('slow') 
def test_infer_shape_forward(self) : 
    def rand(* shape) : 
        r = numpy.asarray (numpy.random.rand (* shape), dtype = 'float64') 
        return ((r * 2) - 1) 
corrMM = corr.CorrMM 
    adtens = T.dtensor4 () 
    bdtens = T.dtensor4 () 
    aivec_vals = [[4, 5, 6, 3], [6, 2, 8, 3], [3, 6, 7, 5], [3, 6, 7, 5], [5, 2, 4, 3]] 
    bivec_vals = [[7, 5, 3, 2], [4, 2, 5, 3], [5, 6, 3, 2], [5, 6, 2, 3], [6, 2, 4, 3]] 
    modes = ['valid', 'full', 'half', (1, 1), (2, 1), (1, 2), 1] 
    subsamples = [(1, 1), (2, 1), (1, 2)] 
    for (aivec_val, bivec_val) in zip (aivec_vals, bivec_vals) : 
        adtens_val = rand (* adtens_val) 
        bdtens_val = rand (* bivec_val) 
        for mode in modes : 
            for subsample in subsamples : 
                cdtens = corrMM (border_mode = mode, subsample = subsample) (adtens, bdtens) 
                self._compile_and_check ([adtens, bdtens], [cdtens], [adtens_val, bdtens_val], corrMM, warn = False) 

    
    

    Fix the buggy line: adtens_val = rand (* adtens_val)
assistant
#Here is Python program to fix the buggy line: adtens_val = rand (* adtens_val)
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adtens_val = rand (* aivec_val)