RuntimeError: mat1 and mat2 shapes cannot be multiplied (10x2352 and 900x10)

This error occurs when the matrices that are being multiplied do not have compatible dimensions. In this case, the first matrix (mat1) has 10 rows and 2352 columns, while the second matrix (mat2) has 900 rows and 10 columns. To perform matrix multiplication, the number of columns in the first matrix must match the number of rows in the second matrix.

To fix this error, you need to transpose one of the matrices so that their dimensions become compatible. For example, if you want to multiply mat1 and mat2, you can transpose mat1 to get a new matrix with dimensions 2352x10. Then, you can multiply mat2 by the transposed mat1 to get a resulting matrix with dimensions 900x2352.

Here's an example code snippet that demonstrates how to transpose mat1 and perform matrix multiplication:

import numpy as np

mat1 = np.zeros((10, 2352))
mat2 = np.zeros((900, 10))

# Transpose mat1
mat1_t = np.transpose(mat1)

# Multiply mat2 by the transposed mat1
result = np.dot(mat2, mat1_t)