Hello, I want to replace the matrix element with the new value.
For example, I have (512,45,1000) matrix.
I also have two tensors (512,1) , (512,1).
In two tensors there are values which are smaller than 45 and 1000 each.
I want to pad the matrix to 0 for the row and column which 0 padding starts with values of each tensor.
now I am using for statement,
for i in range(similarity_score.shape):
similarity_score[i][:,second_len[i]:] = num
In my thought, it takes much time because of for statement.
Is there any built-in function or more efficient way to reduce the time?