non-broadcastable output operand with shape (50,1) doesn t match the broadcast shape (50,5)

This error occurs when you are trying to perform a broadcast operation on two arrays with incompatible shapes. In this case, the output operand has a shape of (50,1) which means it has 50 rows and 1 column, while the broadcast shape has a shape of (50,5) which means it has 50 rows and 5 columns.

Broadcasting is a way to perform operations on arrays with different shapes by stretching or duplicating one or more of the arrays to match the shape of the other. However, in this case, the arrays cannot be broadcasted because they have different numbers of columns.

To fix this error, you need to reshape one of the arrays to have the same number of columns as the other. You can use the numpy.reshape() function to do this. For example, if you want to reshape the output operand to have the same shape as the broadcast shape, you can use the following code:

import numpy as np

# create two arrays with incompatible shapes
a = np.ones((50,1))
b = np.ones((50,5))

# reshape the output operand to have the same shape as the broadcast shape
a = np.reshape(a, (50,5))

# perform the broadcast operation
c = a + b

This code will reshape the output operand to have the same shape as the broadcast shape, and then perform the broadcast operation without any errors.