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Updated change-log in preparation for 0.15.1 release.
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CHANGELOG.md

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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [0.16.0] - MMM. DD, 2024
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## [0.16.0] - MMM. DD, YYYY
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This release will require DPC++ 2024.1.0, which no longer supports Intel Gen9 integrated GPUs found in Intel CPUs of 10th and older generations.
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Feature wise this release is equivalent to 0.15.1.
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## [0.15.1] - Feb. 10, 2024
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This release reaches milestone of 100% compliance of `dpctl.tensor` functions with Python Array API 2022.12 standard for the main namespace.
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* Added new elementwise functions `dpctl.tensor.cbrt`, `dpctl.tensor.rsqrt`, `dpctl.tensor.exp2`, `dpctl.tensor.copysign`, `dpctl.tensor.angle`, and `dpctl.tensor.reciprocal`: [#1443](https://github.com/IntelPython/dpctl/pull/1443), [#1474](https://github.com/IntelPython/dpctl/pull/1474)
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* Added statistical functions `dpctl.tensor.mean`, `dpctl.tensor.std`, `dpctl.tensor.var` per Python Array API specifications: [#1465](https://github.com/IntelPython/dpctl/pull/1465)
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* Added sorting functions `dpctl.tensor.sort` and `dpctl.tensor.argsort`, and set functions `dpctl.tensor.unique_values`, `dpctl.tensor.unique_counts`, `dpctl.tensor.unique_inverse`, `dpctl.tensor.unique_all`: [#1483](https://github.com/IntelPython/dpctl/pull/1483)
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* Added linear algebra functions from the Array API namespace `dpctl.tensor.matrix_transpose`, `dpctl.tensor.matmul`, `dpctl.tensor.vecdot`, and `dpctl.tensor.tensordot`: [#1490](https://github.com/IntelPython/dpctl/pull/1490)
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* Added linear algebra functions from the Array API namespace `dpctl.tensor.matrix_transpose`, `dpctl.tensor.matmul`, `dpctl.tensor.vecdot`, and `dpctl.tensor.tensordot`: [#1490](https://github.com/IntelPython/dpctl/pull/1490), [#1525](https://github.com/IntelPython/dpctl/pull/1525), [#1541](https://github.com/IntelPython/dpctl/pull/1541)
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* Added `dpctl.tensor.clip` function: [#1444](https://github.com/IntelPython/dpctl/pull/1444), [#1505](https://github.com/IntelPython/dpctl/pull/1505)
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* Added custom reduction functions `dpt.logsumexp` (reduction using binary function `dpctl.tensor.logaddexp`), `dpt.reduce_hypot` (reduction using binary function `dpctl.tensor.hypot`): [#1446](https://github.com/IntelPython/dpctl/pull/1446)
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* Added inspection API to query capabilities of Python Array API specification implementation: [#1469](https://github.com/IntelPython/dpctl/pull/1469)
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* Support for compilation for NVIDIA(R) sycl target with use of [CodePlay oneAPI plug-in](https://developer.codeplay.com/products/oneapi/nvidia/home/): [#1411](https://github.com/IntelPython/dpctl/pull/1411), [#1124](https://github.com/IntelPython/dpctl/discussions/1124)
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* Added `dpctl.utils.intel_device_info` function to query additional information about Intel(R) GPU devices: [gh-1428](https://github.com/IntelPython/dpctl/pull/1428) and [gh-1445](https://github.com/IntelPython/dpctl/pull/1445)
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* Added support for two new device descriptors, `dpctl.SyclDevice.max_mem_alloc_size` and `dpctl.SyclDevice.max_clock_frequency`: [#1530](https://github.com/IntelPython/dpctl/pull/1530)
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