what should I do when the keras image datagenerato is nit working 1

what should I do when the keras image datagenerato is nit working

>>> k = np.random.randn(10,10) # Matrix 10x10
>>> import dask.array as da
>>> k2 = da.from_array(k,chunks = 3)
dask.array
>>> k2.to_delayed()
array([[Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 0, 0)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 0, 1)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 0, 2)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 0, 3))],
   [Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 1, 0)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 1, 1)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 1, 2)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 1, 3))],
   [Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 2, 0)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 2, 1)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 2, 2)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 2, 3))],
   [Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 3, 0)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 3, 1)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 3, 2)),
    Delayed(('array-a08c1d25b900d497cdcd233a7c5aa108', 3, 3))]],
  dtype=object)

Here is what the above code is Doing:
1. We create a random matrix of size 10×10
2. We import dask.array as da
3. We create a dask array from the matrix k with chunksize 3
4. We convert the dask array to delayed objects

The output of the above code is a matrix of delayed objects.

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