MXNet-Based Random Matrix Multiplication with Numpy Output

This function uses MXNet's matrix multiplication feature, takes two arguments representing the dimensions of the matrix, then generates two random matrices for multiplication, and finally returns the product as a numpy array.

Technology Stack : MXNet, NumPy

Code Type : The type of code

Code Difficulty : Intermediate

                
                    
def random_matrix_multiply(arg1, arg2):
    import mxnet as mx
    import numpy as np
    
    # Generate a random matrix with shape (arg1, arg2)
    matrix_a = mx.nd.random.normal(0, 1, shape=(arg1, arg2))
    matrix_b = mx.nd.random.normal(0, 1, shape=(arg2, arg1))
    
    # Perform matrix multiplication
    result = mx.nd.dot(matrix_a, matrix_b)
    
    # Return the result as a numpy array
    return result.asnumpy()