v0.15.0

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

• @ZzEeKkAa made their first contribution in #1593

Full Changelog: 0.14.0...0.15.0