multiplying tensors in tensorflow can be done using the tf.matmul() function. This function performs matrix multiplication on two tensors, assuming that both tensors have compatible dimensions. The dimensions of the input tensors must satisfy the matrix multiplication requirements, which means the inner dimensions must match. For instance, if you have two tensors A with shape (m, n) and B with shape (n, p), where m, n, and p represent the dimensions, you can multiply them using tf.matmul(A, B).