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@oleksandr-pavlyk oleksandr-pavlyk released this 10 Feb 21:51
· 854 commits to master since this release
0.15.1
94fc707

Summary

This release reaches milestone of 100% compliance of dpctl.tensor functions with Python Array API 2022.12 standard for the main namespace.

Added

  • Added reduction functions dpctl.tensor.min, dpctl.tensor.max, dpctl.tensor.argmin, dpctl.tensor.argmax, and dpctl.tensor.prod per Python Array API specifications: #1399
  • Added dedicated in-place operations for binary elementwise operations and deployed them in Python operators of dpctl.tensor.usm_ndarray type: #1431, #1447
  • Added new elementwise functions dpctl.tensor.cbrt, dpctl.tensor.rsqrt, dpctl.tensor.exp2, dpctl.tensor.copysign, dpctl.tensor.angle, and dpctl.tensor.reciprocal: #1443, #1474
  • Added statistical functions dpctl.tensor.mean, dpctl.tensor.std, dpctl.tensor.var per Python Array API specifications: #1465
  • 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
  • Added linear algebra functions from the Array API namespace dpctl.tensor.matrix_transpose, dpctl.tensor.matmul, dpctl.tensor.vecdot, and dpctl.tensor.tensordot: #1490, #1525, #1541
  • Added dpctl.tensor.clip function: #1444, #1505
  • Added custom reduction functions dpt.logsumexp (reduction using binary function dpctl.tensor.logaddexp), dpt.reduce_hypot (reduction using binary function dpctl.tensor.hypot): #1446
  • Added inspection API to query capabilities of Python Array API specification implementation: #1469
  • Support for compilation for NVIDIA(R) sycl target with use of CodePlay oneAPI plug-in: #1411, #1124
  • Added dpctl.utils.intel_device_info function to query additional information about Intel(R) GPU devices: gh-1428 and gh-1445
  • Added support for two new device descriptors, dpctl.SyclDevice.max_mem_alloc_size and dpctl.SyclDevice.max_clock_frequency: #1530

Changed

  • Functions dpctl.tensor.result_type and dpctl.tensor.can_cast became device-aware: #1488, #1473
  • Implementation of method dpctl.SyclEvent.wait_for changed to use sycl::event::wait instead of sycl::event::wait_and_throw: gh-1436
  • dpctl.tensor.astype was changed to support device keyword as per Python Array API specification: #1511
  • C++ header files in libtensor/include/kernels containing implementations of SYCL kernels no longer depends on "pybind11.h": #1516

Fixed

Assets 4
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