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@diptorupd diptorupd released this 28 May 17:26
· 30 commits to main since this release
0.23.0
46e90f6
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Fixed

  • Array alignment problem for stack arrays allocated for kernel arguments. (#1357)
  • Issue #892, #906 caused by incorrect code generation for indexing (#1377)
  • Generation of KernelHasReturnValueError error inside KernelDispatcher. (#1394)
  • Issue #1390: broken support for slicing into dpctl.tensor.usm_ndarray in kernels (#1425)
  • Support for Wheels package on Windows (#1430)
  • Incorrect mangled name for kernel function arguments (#1443)
  • Remove artifacts from conda/wheel packages residing in root level (#1450)
  • GDB tests to work properly on Intel Max GPU (#1451)
  • Improper wheels installation on unsupported platforms (#1452)
  • Ref-counting of Python object temporaries in unboxing code (#1454)
  • Segfault caused by using malloc to allocate NRT_MemInfo. Replaced with Numba's NRT alloc (#1458)
  • Incorrect package name in README.md (#1463)

Added

  • A new overloaded dimensions attribute for all index-space id classes (#1359)
  • Support for AtomicRef creation using multi-dimensional arrays (#1367)
  • Support for linearized indexing functions inside a JIT compiled kernel (#1368)
  • Improved documentation: overview (#1341), kernel programming guide (#1388), API docs (#1414), configs options (#1415), comparison with SYCL API (#1417)
  • New PrivateArray class in kernel_api to replace dpex.private.array (#1370, #1377)
  • Support for libsycinterface::DPCTLKernelArgType enum for specifying type of kernel args instead of hard coding (#1382)
  • New indexing unit tests for kernel_api simulator and JIT compiled modes (#1378)
  • New unit tests to verify all kernel_api features usable inside device_func (#1391)
  • A sycl::local_accessor-like API (kernel_api.LocalAccessor) for numba-dpex kernel (#1331)
  • Specialization support for device_func decorator (#1398)
  • Support for all kernel_api functions inside the numba_dpex.kernel decorator. (#1400)
  • Support for dpnp 0.15 (#1434, #1464)
  • Improvements to pyproject.toml configs to build numba-dpex from source. (#1449)
  • Load the SPV_INTEL_variable_length_array SPIR-V extension to supporting arrays in private address-space on Intel Max GPU. (#1451)

Changed

  • Default inline threshold value set to 2 from None. (#1385)
  • Port parfor kernel templates to kernel_api (#1416), (#1424)
  • Use SPIRVKernelDispatcher for parfor kernel dispatch (#1435, #1448)
  • All examples use the latest dpctl API (#1431)
  • Minimum required dpctl version is now 0.16.1
  • Minimum required numba version is now 0.59.0 (#1462)

Removed

  • OpenCL-like kernel API functions (#1420)
  • func decorator (replaced by device_func) (#1400)
  • numba_dpex.experimental.kernel and numba_dpex.experimental.device_func (#1400)

New Contributors

Contributors

AndresGuzman-Ballen
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