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Implement gesv_batch via gesv call #1877
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antonwolfy
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Jun 12, 2024
antonwolfy
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Jul 26, 2024
antonwolfy
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Jul 31, 2024
antonwolfy
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It's great improvement of dpnp.solve
. Thank you @vlad-perevezentsev, LGTM!
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* First working version with transpose and C contig * Second working version with moveaxis, transpose and F contig * Add more shape checks * Pass sycl::queue by reference for gesv/gesv_batch * Update _batched_solve implementation * Remove old impl in _batched_solve * Use py::gil_scoped_release before gesv call * Move gesv_batch to gesv_batch.cpp * Improve gesv_batch with independent linear streams * Extend checks for gesv/gesv_batch * Add common_gesv_checks * Release GIL in gesv_batch_impl * Remove host_task_events from gesv * Use check_zeros_shape in gesv and gesv_batch * Add additional checks for gesv_impl * Move alloc_scratchpad to common_helpers.hpp * Use helper::alloc_scratchpad in gesv_batch_impl * Remove current_scratch_gesv check * Remove lda, ldb pass to gesv_batch_impl, gesv_impl * Use const and constexpr in gesv/gesv_batch * Use dpnp.reshape in _batched_solve * Implement alloc_ipiv in common_helpers.hpp * Add gesv_common_utils.hpp * Implement handle_lapack_exc function * Use try/catch for scratchpad/ipiv allocation * Update alloc_scratchpad/alloc_ipiv * gesv_scratchpad_size can be 0 * Implement help functions alloc_ipiv/alloc_scratchpad * Reuse alloc_scratchpad/ipiv in batch versions 1e5ba88
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This PR suggests adding
gesv_batch
implementation as a separate function and provide iteration of the batch array within it to avoid allocation of each 2D array before callinggesv
to improve performance and avoid serialization of all host tasks in the queue in MKL call;Performance of
dpnp.solve
on Iris Xe