Version 0.60.0 (13 June 2024)

This is a major Numba release. Numba now has binary support for NumPy 2.0. Users should note that this does NOT yet include NEP 50 related type-level changes which are still in progress. This release does not guarantee execution level compatibility with NumPy 2.0 and hence users should expect some type and numerical deviations with respect to normal Python behavior while using Numba with NumPy 2.0.

Please find a summary of all noteworthy items below.

Highlights

NumPy 2.0 Binary Support

Added Binary Support for NumPy 2.0. However, this does not yet include NEP 50 related type-level changes which are still in progress.

Following is a summary of the user facing changes:

  • The ptp() method previously available for arrays has been deprecated. Instead, it is recommended to use the np.ptp(arr) function.

  • The data type np.bool8 has been deprecated and replaced with np.bool.

  • The np.product function is deprecated; users are advised to use np.prod instead.

  • Starting from NumPy version 2.0, the itemset() method has been removed from the ndarray class. To achieve the same functionality, utilize the assignment operation arr[index] = value.

  • Deprecated constants np.PINF and np.NINF should be replaced with np.inf for positive infinity and -np.inf for negative infinity, respectively.

(PR-#9466)

New Features

Enhance guvectorize support in JIT code

Generalized universal function support is extended, it is now possible to call a @guvectorize decorated function from within a JIT-compiled function. However, please note that broadcasting is not supported yet. Calling a guvectorize function in a scenario where broadcast is needed may result in incorrect behavior.

(PR-#8984)

Add experimental support for ufunc.at

Experimental support for ufunc.at is added.

(PR-#9239)

Add float(<string literal>) ctor

Support for float(<string literal>) is added.

(PR-#9378)

Add support for math.log2.

Support for math.log2 is added.

(PR-#9416)

Add math.nextafter support for nopython mode.

Support math.nextafter in nopython mode.

(PR-#9438)

Add support for parfor binop reductions.

Previously, only operations with inplace operations like += could be used as reductions in prange`s. Now, with this PR, binop reductions of the form `a = a binop b can be used.

(PR-#9521)

Improvements

Expand isinstance() support for NumPy datetime types

Adds support of numpy.datetime64 and numpy.timedelta64 types in isinstance().

(PR-#9455)

Python 3.12 sys.monitoring support is added to Numba’s dispatcher.

Python 3.12 introduced a new module sys.monitoring that makes available an event driven monitoring API for use in tools that need to monitor execution e.g. debuggers or profilers. Numba’s dispatcher class (the code that handles transfer of control between the Python interpreter and compiled code) has been updated to emit sys.monitoring.events.PY_START and sys.monitoring.events.PY_RETURN as appropriate. This allows tools that are watching for these events to identify when control has entered and returned from compiled code. As a result of this change, Numba compiled code is now identified by cProfile in the same way that it has been historically i.e. it will be present in performance profiles.

(PR-#9482)

NumPy Support

Added support for np.size()

Added np.size() support for NumPy, which was previously unsupported.

(PR-#9504)

CUDA API Changes

Support for compilation to LTO-IR

Support for compiling device functions to LTO-IR in the compilation API is added.

(PR-#9274)

Support math.log, math.log2 and math.log10 in CUDA

CUDA target now supports np.log, np.log2 and np.log10.

(PR-#9417)

Bug Fixes

Fix parfor variable hoisting analysis.

If a variable is used to build a container (e.g., tuple, list, map, set) or is passed as an argument to a call then conservatively assume it could escape the current iteration of the parfor and so should not be hoisted.

(PR-#9532)

Deprecations

Deprecate old_style error-capturing

Per deprecation schedule, old_style error-capturing is deprecated and the default is now new_style.

(PR-#9549)

Expired Deprecations

Removal of numba.core.retarget

The experimental features implemented in numba.core.retarget have been removed. These features were primarily used in numba-dpex, but that project has replaced its use of numba.core.retarget with a preference for target extension API.

(PR-#9539)

Documentation Changes

numba.cuda.gpus.current documentation correction

numba.cuda.gpus.current was erroneously described as a function, is now described as an attribute.

(PR-#9394)

CUDA 12 conda installation documentation

Installation instructions have been added for CUDA 12 conda users.

(PR-#9487)

Pull-Requests: