v0.15.1

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

• Fixed issues with dpctl.tensor.repeat support for axis keyword: #1427, #1433
• Fix for gh-1503 for bug usm_ndarray.__setitem__: #1504
• Other bug fixes: #1485, #1477, #1512