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@antonwolfy antonwolfy released this 27 Jun 10:53
· 274 commits to master since this release
0.15.0
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Summary

This release completes implementation of dpnp.linalg module and array creation routine, adds cumulative reductions and histogram functions.

Details

Added

  • Implemented dpnp.frombuffer, dpnp.fromfile and dpnp.fromstring functions #1727
  • Implemented dpnp.fromfunction, dpnp.fromiter and dpnp.loadtxt functions #1728
  • Added implementation of dpnp.linalg.pinv function #1704
  • Added implementation of dpnp.linalg.eigvalsh function #1714
  • Added implementation of dpnp.linalg.tensorinv function #1752
  • Added implementation of dpnp.linalg.tensorsolve function #1753
  • Added implementation of dpnp.linalg.lstsq function #1792
  • Added implementation of dpnp.einsum and dpnp.einsum_path functions #1779
  • Added implementation of dpnp.histogram function #1785
  • Added implementation of dpnp.histogram_bin_edges function #1823
  • Added implementation of dpnp.digitize function #1847
  • Extended pre-commit hooks with pylint configuration #1718
  • Extended pre-commit hooks with codespell configuration #1798
  • Added a Security policy page #1730
  • Implemented nin and nout properties for dpnp elementwise functions #1712
  • Implemented outer method for dpnp elementwise functions #1813

Changed

  • Added support of more number of data types and dimensions for input arrays, and all keyword arguments in dpnp.cross function #1715
  • Added support of more number of data types and dimensions for input array, and all keyword arguments in dpnp.linalg.matrix_rank function #1717
  • Added support of more number of data types and dimensions for input arrays in dpnp.inner function #1726
  • Added support of more number of data types and dimensions for input arrays in dpnp.linalg.multi_dot function #1729
  • Added support of more number of data types and dimensions for input arrays in dpnp.kron function #1732
  • Added support of more number of data types and dimensions for input arrays in dpnp.linalg.matrix_power function #1748
  • Added support of more number of data types and dimensions for input array, and all keyword arguments in dpnp.norm function #1746
  • Added support of more number of data types and dimensions for input array in dpnp.cond function #1773
  • Extended dpnp.matmul function to support axes keyword argument #1705
  • Extended dpnp.searchsorted function to support side and sorter keyword arguments #1751
  • Extended dpnp.where function to support scalar type by x and y arrays #1760
  • Extended dpnp.ndarray.transpose method to support axes keyword as a list #1770
  • Extended dpnp.nancumsum function to support axis, dtype and out keyword arguments #1781
  • Extended dpnp.nancumprod function to support axis, dtype and out keyword arguments #1812
  • Extended dpnp.put function to support more number of data types and dimensions for input arrays #1838
  • Extended dpnp.trace function to support axis1, axis2, dtype and out keyword arguments #1842
  • Corrected dpnp.ndarray.realand dpnp.ndarray.imag methods to return a view of the array #1719
  • Corrected dpnp.nonzero function to raise TypeError exception for input array of unexpected type #1764
  • Corrected dpnp.diagonal function to return a view of the array #1817
  • Removed dpnp.find_common_type function as it was deprecated since NumPy 1.25.0 #1742
  • Removed use of dpctl queue manager API #1735
  • Leveraged dpctl.tensor implementation for dpnp.cumsum function #1772
  • Leveraged dpctl.tensor implementation for dpnp.cumprod function #1811
  • Leveraged dpctl.tensor implementation for dpnp.cumlogsumexp function #1816
  • Leveraged dpctl.tensor support of out keyword argument in reduction and dpnp.where functions #1808
  • Aligned with dpctl interface changes per Python Array API 2023.12 specification #1774
  • Reworked dpnp.linalg.eig and dpnp.linalg.eigvals implementations to fall back on on NumPy calculation due to a lack of required functionality in OneMKL LAPACK #1780
  • dpnp uses pybind11 2.12.0 #1783
  • Improved dpnp.matmul implementation to use column major gemm layout for F-contiguous input arrays #1793
  • Improved performance of dpnp.matmul function by call of dpnp.kron and dpnp.dot for special cases #1815
  • Improved performance of dpnp.diag function by use of dpnp.diagonal which returns a view of the array #1822
  • Removed limitations from diag_indices, diag_indices_from, fill_diagonal, tril_indices, tril_indices_from, triu_indices, triu_indices_from functions and added implementation of dpnp.mask_indices function #1814

Fixed

  • Changed dpnp.linalg.solve to use a pair of getrf and getrs calls from OneMKL library instead of gesv one to mitigate an unexpected RuntimeError exception #1763
  • Resolved a hang in batch implementation of dpnp.linalg.solve when computes on CPU device #1778
  • Resolved an unexpected TypeError exception raised from dpnp.random.vonmises when used with a scalar kappa argument #1799
  • Changed dpnp.flatten to comply with compute follows data approach #1825
  • Resolved a hang in batch implementation of dpnp.linalg.eigh when computes on CPU device #1832
  • Resolved an unexpected ValueError exception raised from dpnp.linalg.pinv due to a shape issue in dpnp.matmul #1843

New Contributors

Full Changelog: 0.14.0...0.15.0

Contributors

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