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Use dpctl.tensor.matmul in the backend of dpnp.matmul when inputs are integer (#2296)
resolves #2270 OneMath (OneMKL) routines (`gemm`, `gemv`, `gemm_batch`) for matrix multiplication only support floating point data types. If inputs are integer, to use OneMath we need to upcasting them to floating point dtypes, perform the calculation and then cast back the result to integer dtypes which is unsafe and we may loose some information for large integers. In this PR, the logic for `dpnp.matmul` is updated to use `dpctl.tensor.matmul` when result has a integer dtypes. db97d59
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