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CHANGELOG.md

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@@ -40,7 +40,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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* Refactored backend implementation of `dpnp.linalg.solve` to use oneMKL LAPACK `gesv` directly [#2558](https://github.com/IntelPython/dpnp/pull/2558)
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* Improved performance of `dpnp.isclose` function by implementing a dedicated kernel for scalar `rtol` and `atol` arguments [#2540](https://github.com/IntelPython/dpnp/pull/2540)
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* Extended `dpnp.pad` to support `pad_width` keyword as a dictionary [#2535](https://github.com/IntelPython/dpnp/pull/2535)
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* Improved performance of `dpnp.linalg.det` and `dpnp.linalg.slogdet` for batched GPU inputs [#2572](https://github.com/IntelPython/dpnp/pull/2572)
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* Improved performance of batched implementation of `dpnp.linalg.det` and `dpnp.linalg.slogdet` [#2572](https://github.com/IntelPython/dpnp/pull/2572)
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### Deprecated
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dpnp/linalg/dpnp_utils_linalg.py

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@@ -297,7 +297,7 @@ def _batched_lu_factor(a, res_type):
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batch_size = a.shape[0]
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a_usm_arr = dpnp.get_usm_ndarray(a)
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# `a` must be copied because getrf_batch destroys the input matrix
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# `a` must be copied because getrf/getrf_batch destroys the input matrix
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a_h = dpnp.empty_like(a, order="C", dtype=res_type)
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ht_ev, copy_ev = ti._copy_usm_ndarray_into_usm_ndarray(
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src=a_usm_arr,

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