NumPy Error: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

Question

I am working on an Image Convolution code using numpy:

def CG(A, b, x, imax=10, epsilon = 0.01):
    steps=np.asarray(x)
    i = 0
    r = b - A * x
    d =          


        

Answer 1

It looks like delta_new and delta_0 are Numpy arrays, and Numpy doesn't know how to compare them.

As an example, imagine if you took two random Numpy arrays and tried to compare them:

>>> a = np.array([1, 3, 5])
>>> b = np.array([5, 3, 1])
>>> print(a>> bool(a

You have to basically "pick" how to collapse the comparisons of all of the values across all of your arrays down to a single bool.

>>> (a>> (a