What's New: Intel® Distribution for Python* 2025.3

StefR_Intel — Mon, 10 Nov 2025 10:41:52 GMT

Data Parallel Control Library* includes the following improvements:

Implemented tensor.isin membership test
Allow NumPy arrays for advanced indexing
Reduced binary size by making constexpr variables in headers inline and others static, and removing all anonymous namespaces from headers
Fixed DLL search path when initializing dpctl, fixing failure to see devices when importing in venv on Windows
Fixed failure to copy arrays of double dtype from device with double precision to a device without double precision

Data Parallel Extension for Numpy* includes the following improvements:

Added implementation of dpnp.piecewise, dpnp.special.erf, dpnp.special.erfc, dpnp.linalg.lu_solve and dpnp.linalg.lu_factor functions
Implemented new dpnp.ndarray.view, dpnp.ndarray.__contains__ methods and dpnp.ndarray.data, dpnp.ndarray.data.ptr attributes to improve CuPy compatibility
Improved performance of dpnp.isclose, dpnp.linalg.det and dpnp.linalg.slogdet functions
Improved performance for a specialized matrix multiplication where the result is a symmetric matrix
The order of individual FFTs over axes for dpnp.fft.irfftn is changed to be in forward order
The intermediate steps of ND FFT are updated to perform in-place FFT
dpnp.size accepts a tuple of integers for axes keyword
dpnp.pad accepts a dictionary for pad_width keyword
The license handling is aligned with PEP-639
The new dpnp release is compatible with NumPy 2.3.3
Including fixes in:
- dpnp.ndarray constructor passed with dpnp.ndarray.data value for buffer keyword
- dpnp.random functions to allow any value of size keyword where each element is castable to Py_ssize_t type
- dpnp.linalg.cond to always return a real data type
- dpnp.unique with 1D input array and axis=0, equal_nan=True passed where the produced result didn't collapse the NaNs
- dpnp.resize with unsigned integer size

Intel® Distribution for Python's NumPy-based Python interface to Intel® oneAPI Math Kernel Library (oneMKL) Fourier Transform Functions includes following improvements:

Permit building with Python 3.13
Removed scipy.fftpack interfaced (deprecated in scipy)
Resolved a bug in N-D FFTs when given out and s keyword arguments

Intel® Distribution for Python's mkl_umath package implementing NumPy's UFuncs based on SVML and MKL VML:

Changed to dynamic linking and to use LP64, permitting arrays larger than 2**31
Added new MKL function implementations
Removed MKL implementations for functions which showed no performance improvement compared to stock NumPy pending further evaluation

Other improvements:

Intel® Distribution for Python's package for run-time control of Intel® oneAPI Math Kernel Library (oneMKL) now permits building with Python 3.14

topic What's New: Intel® Distribution for Python* 2025.3 in Intel® Distribution for Python*

What's New: Intel® Distribution for Python* 2025.3