SVD of a block partitioned matrix

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Given a block partitioned matrix $\boldsymbol{A}$

$$ \boldsymbol{A} = \begin{bmatrix} \boldsymbol{A}_{1,1} & \boldsymbol{A}_{1,2} & \cdots \\ \boldsymbol{A}_{2,1} & \boldsymbol{A}_{2,2} & \cdots \\ \vdots & \vdots \end{bmatrix}, $$

what can be said about its SVD decomposition in terms of its constituting blocks $\boldsymbol{A}_{i,j}$?