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Version 0.54.0 (30 June, 2021)
------------------------------
This release includes a significant number of new features, important
refactoring, critical bug fixes and a number of dependency upgrades.
Python language support enhancements:
* Basic support for ``f-strings``.
* ``dict`` comprehensions are now supported.
* The ``sum`` built-in function is implemented.
NumPy features/enhancements:
The following functions are now supported:
* ``np.clip``
* ``np.iscomplex``
* ``np.iscomplexobj``
* ``np.isneginf``
* ``np.isposinf``
* ``np.isreal``
* ``np.isrealobj``
* ``np.isscalar``
* ``np.random.dirichlet``
* ``np.rot90``
* ``np.swapaxes``
Also ``np.argmax`` has gained support for the ``axis`` keyword argument and it's
now possible to use ``0d`` NumPy arrays as scalars in ``__setitem__`` calls.
Internal changes:
* Debugging support through DWARF has been fixed and enhanced.
* Numba now optimises the way in which locals are emitted to help reduce time
spend in LLVM's SROA passes.
CUDA target changes:
* Support for emitting ``lineinfo`` to be consumed by profiling tools such as
Nsight Compute
* Improved fastmath code generation for various trig, division, and other
functions
* Faster compilation using lazy addition of libdevice to compiled units
* Support for IPC on Windows
* Support for passing tuples to CUDA ufuncs
* Performance warnings:
* When making implicit copies by calling a kernel on arrays in host memory
* When occupancy is poor due to kernel or ufunc/gufunc configuration
* Support for implementing warp-aggregated intrinsics:
* Using support for more CUDA functions: ``activemask()``, ``lanemask_lt()``
* The ``ffs()`` function now works correctly!
* Support for ``@overload`` in the CUDA target
Intel kindly sponsored research and development that lead to a number of new
features and internal support changes:
* Dispatchers can now be retargetted to a new target via a user defined context
manager.
* Support for custom NumPy array subclasses has been added (including an
overloadable memory allocator).
* An inheritance based model for targets that permits targets to share
``@overload`` implementations.
* Per function compiler flags with inheritance behaviours.
* The extension API now has support for overloading class methods via the
``@overload_classmethod`` decorator.
Deprecations:
* The ``ROCm`` target (for AMD ROC GPUs) has been moved to an "unmaintained"
status and a seperate repository stub has been created for it at:
https://github.com/numba/numba-rocm
CUDA target deprecations and breaking changes:
* Relaxed strides checking is now the default when computing the contiguity of
device arrays.
* The ``inspect_ptx()`` method is deprecated. For use cases that obtain PTX for
further compilation outside of Numba, use ``compile_ptx()`` instead.
* Eager compilation of device functions (the case when ``device=True`` and a
signature is provided) is deprecated.
Version support/dependency changes:
* LLVM 11 is now supported on all platforms via llvmlite.
* The minimum supported Python version is raised to 3.7.
* NumPy version 1.20 is supported.
* The minimum supported NumPy version is raised to 1.17 for runtime (compilation
however remains compatible with NumPy 1.11).
* Vendor `cloudpickle <https://github.com/cloudpipe/cloudpickle>`_ `v1.6.0` --
now used for all ``pickle`` operations.
* TBB >= 2021 is now supported and all prior versions are unsupported (not
easily possible to maintain the ABI breaking changes).
Pull-Requests:
* PR `#4516 <https://github.com/numba/numba/pull/4516>`_: Make setitem accept 0d np-arrays (`Guilherme Leobas <https://github.com/guilhermeleobas>`_)
* PR `#4610 <https://github.com/numba/numba/pull/4610>`_: Implement np.is* functions (`Guilherme Leobas <https://github.com/guilhermeleobas>`_)
* PR `#5984 <https://github.com/numba/numba/pull/5984>`_: Handle idx and size unification in wrap_index manually. (`Todd A. Anderson <https://github.com/DrTodd13>`_)
* PR `#6468 <https://github.com/numba/numba/pull/6468>`_: Access ``replace_functions_map`` via PreParforPass instance (`Sergey Pokhodenko <https://github.com/PokhodenkoSA>`_ `Reazul Hoque <https://github.com/reazulhoque>`_)
* PR `#6469 <https://github.com/numba/numba/pull/6469>`_: Add address space in pointer type (`Sergey Pokhodenko <https://github.com/PokhodenkoSA>`_ `Reazul Hoque <https://github.com/reazulhoque>`_)
* PR `#6608 <https://github.com/numba/numba/pull/6608>`_: Support f-strings for common cases (`Ehsan Totoni <https://github.com/ehsantn>`_)
* PR `#6619 <https://github.com/numba/numba/pull/6619>`_: Improved fastmath code generation for trig, log, and exp/pow. (`Graham Markall <https://github.com/gmarkall>`_ `Michael Collison <https://github.com/testhound>`_)
* PR `#6680 <https://github.com/numba/numba/pull/6680>`_: Allow getattr to work in objmode output type spec (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6681 <https://github.com/numba/numba/pull/6681>`_: Explicitly catch ``with..as`` and raise error. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6689 <https://github.com/numba/numba/pull/6689>`_: Fix setup.py build command detection (`Hannes Pahl <https://github.com/HPLegion>`_)
* PR `#6695 <https://github.com/numba/numba/pull/6695>`_: Enable negative indexing for cuda atomic operations (`Ashutosh Varma <https://github.com/ashutoshvarma>`_)
* PR `#6696 <https://github.com/numba/numba/pull/6696>`_: flake8: made more files flake8 compliant (`Ashutosh Varma <https://github.com/ashutoshvarma>`_)
* PR `#6698 <https://github.com/numba/numba/pull/6698>`_: Fix #6697: Wrong dtype when using np.asarray on DeviceNDArray (`Ashutosh Varma <https://github.com/ashutoshvarma>`_)
* PR `#6700 <https://github.com/numba/numba/pull/6700>`_: Add UUID to CUDA devices (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6709 <https://github.com/numba/numba/pull/6709>`_: Block matplotlib in test examples (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6716 <https://github.com/numba/numba/pull/6716>`_: Consider assignment lhs live if used in rhs (Fixes #6715) (`Ehsan Totoni <https://github.com/ehsantn>`_)
* PR `#6718 <https://github.com/numba/numba/pull/6718>`_: doc: fix typo in rewrites.rst (extra iterates) (`Alexander-Makaryev <https://github.com/Alexander-Makaryev>`_)
* PR `#6720 <https://github.com/numba/numba/pull/6720>`_: Faster compile (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6725 <https://github.com/numba/numba/pull/6725>`_: CUDA: Fix compile to PTX with debug for CUDA 11.2 (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6727 <https://github.com/numba/numba/pull/6727>`_: Avoid errors in array analysis for global tuples with non-int (`Ehsan Totoni <https://github.com/ehsantn>`_)
* PR `#6730 <https://github.com/numba/numba/pull/6730>`_: Fix Typeguard error (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6731 <https://github.com/numba/numba/pull/6731>`_: Add CUDA-specific pipeline (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6733 <https://github.com/numba/numba/pull/6733>`_: Fix segfault and errors in #6668 (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6735 <https://github.com/numba/numba/pull/6735>`_: CUDA: Don't parse IR for modules with llvmlite (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6736 <https://github.com/numba/numba/pull/6736>`_: Support for dict comprehension (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6741 <https://github.com/numba/numba/pull/6741>`_: Enable SSA in IR inliner (`Ehsan Totoni <https://github.com/ehsantn>`_)
* PR `#6742 <https://github.com/numba/numba/pull/6742>`_: Do not add overload function definitions to index. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6750 <https://github.com/numba/numba/pull/6750>`_: Bump to llvmlite 0.37 series (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6751 <https://github.com/numba/numba/pull/6751>`_: Suppress typeguard warnings that affect testing. (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6753 <https://github.com/numba/numba/pull/6753>`_: The check for internal types in RewriteArrayExprs (`Alexander-Makaryev <https://github.com/Alexander-Makaryev>`_)
* PR `#6755 <https://github.com/numba/numba/pull/6755>`_: install llvmlite from numba/label/dev (`esc <https://github.com/esc>`_)
* PR `#6758 <https://github.com/numba/numba/pull/6758>`_: patch to compile _devicearray.cpp with c++11 (`esc <https://github.com/esc>`_)
* PR `#6759 <https://github.com/numba/numba/pull/6759>`_: Update CHANGE_LOG for 0.53.0rc2 (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6760 <https://github.com/numba/numba/pull/6760>`_: Fix scheduler bug where it rounds to 0 divisions for a chunk. (`Todd A. Anderson <https://github.com/DrTodd13>`_)
* PR `#6762 <https://github.com/numba/numba/pull/6762>`_: Glue wrappers to create @overload from split typing and lowering. (`stuartarchibald <https://github.com/stuartarchibald>`_ `Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6766 <https://github.com/numba/numba/pull/6766>`_: Fix DeviceNDArray null shape issue (`Michael Collison <https://github.com/testhound>`_)
* PR `#6769 <https://github.com/numba/numba/pull/6769>`_: CUDA: Replace ``CachedPTX`` and ``CachedCUFunction`` with ``CUDACodeLibrary`` functionality (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6776 <https://github.com/numba/numba/pull/6776>`_: Fix issue with TBB interface causing warnings and parfors counting them (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6779 <https://github.com/numba/numba/pull/6779>`_: Fix wrap_index type unification. (`Todd A. Anderson <https://github.com/DrTodd13>`_)
* PR `#6786 <https://github.com/numba/numba/pull/6786>`_: Fix gufunc kwargs support (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6788 <https://github.com/numba/numba/pull/6788>`_: Add support for fastmath 32-bit floating point divide (`Michael Collison <https://github.com/testhound>`_)
* PR `#6789 <https://github.com/numba/numba/pull/6789>`_: Fix warnings struct ref typeguard (`stuartarchibald <https://github.com/stuartarchibald>`_ `Siu Kwan Lam <https://github.com/sklam>`_ `esc <https://github.com/esc>`_)
* PR `#6792 <https://github.com/numba/numba/pull/6792>`_: Update changelog for 0.53.0rc3 (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6794 <https://github.com/numba/numba/pull/6794>`_: refactor and move create_temp_module into numba.tests.support (`Alexander-Makaryev <https://github.com/Alexander-Makaryev>`_)
* PR `#6795 <https://github.com/numba/numba/pull/6795>`_: CUDA: Lazily add libdevice to compilation units (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6798 <https://github.com/numba/numba/pull/6798>`_: CUDA: Add optional Driver API argument logging (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6799 <https://github.com/numba/numba/pull/6799>`_: Print Numba and llvmlite versions in sysinfo (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6800 <https://github.com/numba/numba/pull/6800>`_: Make a common standard API for querying ufunc impl (`Sergey Pokhodenko <https://github.com/PokhodenkoSA>`_ `Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6801 <https://github.com/numba/numba/pull/6801>`_: ParallelAccelerator no long will convert StaticSetItem to SetItem because record arrays require StaticSetItems. (`Todd A. Anderson <https://github.com/DrTodd13>`_)
* PR `#6802 <https://github.com/numba/numba/pull/6802>`_: Add lineinfo flag to PTX and SASS compilation (`Graham Markall <https://github.com/gmarkall>`_ `Max Katz <https://github.com/maxpkatz>`_)
* PR `#6804 <https://github.com/numba/numba/pull/6804>`_: added runtime version to ``numba -s`` (`Kalyan <https://github.com/rawwar>`_)
* PR `#6808 <https://github.com/numba/numba/pull/6808>`_: #3468 continued: Add support for ``np.clip`` (`Graham Markall <https://github.com/gmarkall>`_ `Aaron Russell Voelker <https://github.com/arvoelke>`_)
* PR `#6809 <https://github.com/numba/numba/pull/6809>`_: #3203 additional info in cuda detect (`Kalyan <https://github.com/rawwar>`_)
* PR `#6810 <https://github.com/numba/numba/pull/6810>`_: Fix tiny formatting error in ROC kernel docs (`Felix Divo <https://github.com/felixdivo>`_)
* PR `#6811 <https://github.com/numba/numba/pull/6811>`_: CUDA: Remove test of runtime being a supported version (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6813 <https://github.com/numba/numba/pull/6813>`_: Mostly CUDA: Replace llvmpy API usage with llvmlite APIs (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6814 <https://github.com/numba/numba/pull/6814>`_: Improving context stack (`stuartarchibald <https://github.com/stuartarchibald>`_ `Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6817 <https://github.com/numba/numba/pull/6817>`_: Update changelog for 0.53.0 final release date (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6818 <https://github.com/numba/numba/pull/6818>`_: CUDA: Support IPC on Windows (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6822 <https://github.com/numba/numba/pull/6822>`_: Add support for np.rot90 (`stuartarchibald <https://github.com/stuartarchibald>`_ `Daniel Nagel <https://github.com/braniii>`_)
* PR `#6829 <https://github.com/numba/numba/pull/6829>`_: Fix accuracy of np.arange and np.linspace (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6830 <https://github.com/numba/numba/pull/6830>`_: CUDA: Use relaxed strides checking to compute contiguity (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6833 <https://github.com/numba/numba/pull/6833>`_: Raise TypeError exception if numpy array is cast to scalar (`Michael Collison <https://github.com/testhound>`_)
* PR `#6834 <https://github.com/numba/numba/pull/6834>`_: Remove illegal "debug" kw argument (`Shaun Cutts <https://github.com/shaunc>`_)
* PR `#6836 <https://github.com/numba/numba/pull/6836>`_: CUDA: Documentation updates (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6840 <https://github.com/numba/numba/pull/6840>`_: CUDA: Remove items deprecated in 0.53 + simulator test fixes (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6841 <https://github.com/numba/numba/pull/6841>`_: CUDA: Fix source location on kernel entry and enable breakpoints to be set on kernels by mangled name (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6843 <https://github.com/numba/numba/pull/6843>`_: cross-referenced Array type in docs (`Kalyan <https://github.com/rawwar>`_)
* PR `#6844 <https://github.com/numba/numba/pull/6844>`_: CUDA: Remove NUMBAPRO env var warnings, envvars.py + other small tidy-ups (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6848 <https://github.com/numba/numba/pull/6848>`_: Ignore .ycm_extra_conf.py (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6849 <https://github.com/numba/numba/pull/6849>`_: Add __hash__ for IntEnum (`Hannes Pahl <https://github.com/HPLegion>`_)
* PR `#6850 <https://github.com/numba/numba/pull/6850>`_: Fix up more internal warnings (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6854 <https://github.com/numba/numba/pull/6854>`_: PR 6096 continued (`stuartarchibald <https://github.com/stuartarchibald>`_ `Ivan Butygin <https://github.com/Hardcode84>`_)
* PR `#6861 <https://github.com/numba/numba/pull/6861>`_: updated reference to hsa with roc (`Kalyan <https://github.com/rawwar>`_)
* PR `#6867 <https://github.com/numba/numba/pull/6867>`_: Update changelog for 0.53.1 (`esc <https://github.com/esc>`_)
* PR `#6869 <https://github.com/numba/numba/pull/6869>`_: Implement builtin sum() (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6870 <https://github.com/numba/numba/pull/6870>`_: Add support for dispatcher retargeting using with-context (`stuartarchibald <https://github.com/stuartarchibald>`_ `Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6871 <https://github.com/numba/numba/pull/6871>`_: Force text-align:left when using Annotate (`Guilherme Leobas <https://github.com/guilhermeleobas>`_)
* PR `#6873 <https://github.com/numba/numba/pull/6873>`_: docs: Update reference to @jitclass location (`David Nadlinger <https://github.com/dnadlinger>`_)
* PR `#6876 <https://github.com/numba/numba/pull/6876>`_: Add trailing slashes to dir paths in CODEOWNERS (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6877 <https://github.com/numba/numba/pull/6877>`_: Add doc for recent target extension features (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6878 <https://github.com/numba/numba/pull/6878>`_: CUDA: Support passing tuples to ufuncs (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6879 <https://github.com/numba/numba/pull/6879>`_: CUDA: NumPy and string dtypes for local and shared arrays (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6880 <https://github.com/numba/numba/pull/6880>`_: Add attribute lower_extension to CPUContext (`Reazul Hoque <https://github.com/reazulhoque>`_)
* PR `#6883 <https://github.com/numba/numba/pull/6883>`_: Add support of np.swapaxes #4074 (`Daniel Nagel <https://github.com/braniii>`_)
* PR `#6885 <https://github.com/numba/numba/pull/6885>`_: CUDA: Explicitly specify objmode + looplifting for jit functions in cuda.random (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6886 <https://github.com/numba/numba/pull/6886>`_: CUDA: Fix parallel testing for all testsuite submodules (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6888 <https://github.com/numba/numba/pull/6888>`_: Get overload to consider compiler flags in cache lookup (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6889 <https://github.com/numba/numba/pull/6889>`_: Address guvectorize too slow for cuda target (`Michael Collison <https://github.com/testhound>`_)
* PR `#6890 <https://github.com/numba/numba/pull/6890>`_: fixes #6884 (`Kalyan <https://github.com/rawwar>`_)
* PR `#6898 <https://github.com/numba/numba/pull/6898>`_: Work on overloading by hardware target. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6911 <https://github.com/numba/numba/pull/6911>`_: CUDA: Add support for activemask(), lanemask_lt(), and nanosleep() (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6912 <https://github.com/numba/numba/pull/6912>`_: Prevent use of varargs in closure calls. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6913 <https://github.com/numba/numba/pull/6913>`_: Add runtests option to gitdiff on the common ancestor (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6915 <https://github.com/numba/numba/pull/6915>`_: Update _Intrinsic for sphinx to capture the inner docstring (`Guilherme Leobas <https://github.com/guilhermeleobas>`_)
* PR `#6917 <https://github.com/numba/numba/pull/6917>`_: Add type conversion for StringLiteral to unicode_type and test. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6918 <https://github.com/numba/numba/pull/6918>`_: Start section on commonly encounted unsupported parfors code. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6924 <https://github.com/numba/numba/pull/6924>`_: CUDA: Fix ``ffs`` (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6928 <https://github.com/numba/numba/pull/6928>`_: Add support for axis keyword arg to numpy.argmax() (`stuartarchibald <https://github.com/stuartarchibald>`_ `Itamar Turner-Trauring <https://github.com/itamarst>`_)
* PR `#6929 <https://github.com/numba/numba/pull/6929>`_: Fix CI failure when gitpython is missing. (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6935 <https://github.com/numba/numba/pull/6935>`_: fixes broken link in numba-runtime.rst (`Kalyan <https://github.com/rawwar>`_)
* PR `#6936 <https://github.com/numba/numba/pull/6936>`_: CUDA: Implement support for PTDS globally (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6937 <https://github.com/numba/numba/pull/6937>`_: Fix memory leak in bytes boxing (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6940 <https://github.com/numba/numba/pull/6940>`_: Fix function resolution for intrinsics across hardware. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6941 <https://github.com/numba/numba/pull/6941>`_: ABC the target descriptor and make consistent throughout. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6944 <https://github.com/numba/numba/pull/6944>`_: CUDA: Support for ``@overload`` (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6945 <https://github.com/numba/numba/pull/6945>`_: Fix issue with array analysis tests needing scipy. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6948 <https://github.com/numba/numba/pull/6948>`_: Refactor registry init. (`stuartarchibald <https://github.com/stuartarchibald>`_ `Graham Markall <https://github.com/gmarkall>`_ `Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6953 <https://github.com/numba/numba/pull/6953>`_: CUDA: Fix and deprecate ``inspect_ptx()``, fix NVVM option setup for device functions (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6958 <https://github.com/numba/numba/pull/6958>`_: Inconsistent behavior of reshape between numpy and numba/cuda device array (`Lauren Arnett <https://github.com/laurenarnett>`_)
* PR `#6961 <https://github.com/numba/numba/pull/6961>`_: Update overload glue to deal with typing_key (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6964 <https://github.com/numba/numba/pull/6964>`_: Move minimum supported Python version to 3.7 (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6966 <https://github.com/numba/numba/pull/6966>`_: Fix issue with TBB test detecting forks from incorrect state. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6971 <https://github.com/numba/numba/pull/6971>`_: Fix CUDA ``@intrinsic`` use (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6977 <https://github.com/numba/numba/pull/6977>`_: Vendor cloudpickle (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#6978 <https://github.com/numba/numba/pull/6978>`_: Implement operator.contains for empty Tuples (`Brandon T. Willard <https://github.com/brandonwillard>`_)
* PR `#6981 <https://github.com/numba/numba/pull/6981>`_: Fix LLVM IR parsing error on use of ``np.bool_`` in globals (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6983 <https://github.com/numba/numba/pull/6983>`_: Support Optional types in ufuncs. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6985 <https://github.com/numba/numba/pull/6985>`_: Implement static set/get items on records with integer index (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6986 <https://github.com/numba/numba/pull/6986>`_: document release checklist (`esc <https://github.com/esc>`_)
* PR `#6989 <https://github.com/numba/numba/pull/6989>`_: update threading docs for function loading (`esc <https://github.com/esc>`_)
* PR `#6990 <https://github.com/numba/numba/pull/6990>`_: Refactor hardware extension API to refer to "target" instead. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6991 <https://github.com/numba/numba/pull/6991>`_: Move ROCm target status to "unmaintained". (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#6995 <https://github.com/numba/numba/pull/6995>`_: Resolve issue where nan was being assigned to int type numpy array (`Michael Collison <https://github.com/testhound>`_)
* PR `#6996 <https://github.com/numba/numba/pull/6996>`_: Add constant lowering support for `SliceType`s (`Brandon T. Willard <https://github.com/brandonwillard>`_)
* PR `#6997 <https://github.com/numba/numba/pull/6997>`_: CUDA: Remove catch of NotImplementedError in target.py (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#6999 <https://github.com/numba/numba/pull/6999>`_: Fix errors introduced by the cloudpickle patch (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#7003 <https://github.com/numba/numba/pull/7003>`_: More mainline fixes (`stuartarchibald <https://github.com/stuartarchibald>`_ `Graham Markall <https://github.com/gmarkall>`_ `Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#7004 <https://github.com/numba/numba/pull/7004>`_: Test extending the CUDA target (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#7007 <https://github.com/numba/numba/pull/7007>`_: Made stencil compilation not fail for arrays of conflicting types. (`MegaIng <https://github.com/MegaIng>`_)
* PR `#7008 <https://github.com/numba/numba/pull/7008>`_: Added support for np.random.dirichlet with all size arguments (`Rishi Kulkarni <https://github.com/rishi-kulkarni>`_)
* PR `#7016 <https://github.com/numba/numba/pull/7016>`_: Docs: Add DALI to list of CAI-supporting libraries (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#7018 <https://github.com/numba/numba/pull/7018>`_: Remove cu{blas,sparse,rand,fft} from library checks (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#7019 <https://github.com/numba/numba/pull/7019>`_: Support NumPy 1.20 (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7020 <https://github.com/numba/numba/pull/7020>`_: Fix #7017. Adds util class PickleCallableByPath (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#7024 <https://github.com/numba/numba/pull/7024>`_: fixed llvmir usage in create_module method (`stuartarchibald <https://github.com/stuartarchibald>`_ `Kalyan <https://github.com/rawwar>`_)
* PR `#7027 <https://github.com/numba/numba/pull/7027>`_: Fix nrt debug print (`MegaIng <https://github.com/MegaIng>`_)
* PR `#7031 <https://github.com/numba/numba/pull/7031>`_: Fix inliner to use a single scope for all blocks (`Alexey Kozlov <https://github.com/kozlov-alexey>`_ `Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#7040 <https://github.com/numba/numba/pull/7040>`_: Add Github action to mark issues as stale (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#7044 <https://github.com/numba/numba/pull/7044>`_: Fixes for LLVM 11 (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7049 <https://github.com/numba/numba/pull/7049>`_: Make NumPy random module use @overload_glue (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7050 <https://github.com/numba/numba/pull/7050>`_: Add overload_classmethod (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#7052 <https://github.com/numba/numba/pull/7052>`_: Fix string support in CUDA target (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#7056 <https://github.com/numba/numba/pull/7056>`_: Change prange conversion approach to reuse header block. (`Todd A. Anderson <https://github.com/DrTodd13>`_)
* PR `#7061 <https://github.com/numba/numba/pull/7061>`_: Add ndarray allocator classmethod (`stuartarchibald <https://github.com/stuartarchibald>`_ `Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#7064 <https://github.com/numba/numba/pull/7064>`_: Testhound/host array performance warning (`Michael Collison <https://github.com/testhound>`_)
* PR `#7066 <https://github.com/numba/numba/pull/7066>`_: Fix #7065: Add expected exception messages for NumPy 1.20 to tests (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#7068 <https://github.com/numba/numba/pull/7068>`_: Enhancing docs about PRNG seeding (`Jérome Eertmans <https://github.com/jeertmans>`_)
* PR `#7070 <https://github.com/numba/numba/pull/7070>`_: Improve the issue templates and pull request template. (`Guoqiang QI <https://github.com/guoqiangqi>`_)
* PR `#7080 <https://github.com/numba/numba/pull/7080>`_: Fix ``__eq__`` for Flags and cpu_options classes (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#7087 <https://github.com/numba/numba/pull/7087>`_: Add note to docs about zero-initialization of variables. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7088 <https://github.com/numba/numba/pull/7088>`_: Initialize NUMBA_DEFAULT_NUM_THREADS with a batch scheduler aware value (`Thomas VINCENT <https://github.com/t20100>`_)
* PR `#7100 <https://github.com/numba/numba/pull/7100>`_: Replace deprecated call to cuDeviceComputeCapability (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#7113 <https://github.com/numba/numba/pull/7113>`_: Temporarily disable debug env export. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7114 <https://github.com/numba/numba/pull/7114>`_: CUDA: Deprecate eager compilation of device functions (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#7116 <https://github.com/numba/numba/pull/7116>`_: Fix various issues with dwarf emission: (`stuartarchibald <https://github.com/stuartarchibald>`_ `vlad-perevezentsev <https://github.com/vlad-perevezentsev>`_)
* PR `#7118 <https://github.com/numba/numba/pull/7118>`_: Remove print to stdout (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7121 <https://github.com/numba/numba/pull/7121>`_: Continue work on numpy subclasses (`Todd A. Anderson <https://github.com/DrTodd13>`_ `Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#7122 <https://github.com/numba/numba/pull/7122>`_: Rtd/sphinx compat (`esc <https://github.com/esc>`_)
* PR `#7134 <https://github.com/numba/numba/pull/7134>`_: Move minimum LLVM version to 11. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7137 <https://github.com/numba/numba/pull/7137>`_: skip pycc test on Python 3.7 + macOS because of distutils issue (`esc <https://github.com/esc>`_)
* PR `#7138 <https://github.com/numba/numba/pull/7138>`_: Update the Azure default linux image to Ubuntu 18.04 (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7141 <https://github.com/numba/numba/pull/7141>`_: Require llvmlite 0.37 as minimum supported. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7143 <https://github.com/numba/numba/pull/7143>`_: Update version checks in __init__ for np 1.17 (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7145 <https://github.com/numba/numba/pull/7145>`_: Fix mainline (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7146 <https://github.com/numba/numba/pull/7146>`_: Fix ``inline_closurecall`` may not be imported (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#7147 <https://github.com/numba/numba/pull/7147>`_: Revert "Workaround gitpython 3.1.18 dependency issue" (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7149 <https://github.com/numba/numba/pull/7149>`_: Fix issue in bytecode analysis where target and next are same. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7152 <https://github.com/numba/numba/pull/7152>`_: Fix iterators in CUDA (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#7156 <https://github.com/numba/numba/pull/7156>`_: Fix ``ir_utils._max_label`` being updated incorrectly (`Siu Kwan Lam <https://github.com/sklam>`_)
* PR `#7160 <https://github.com/numba/numba/pull/7160>`_: Split parfors tests (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7161 <https://github.com/numba/numba/pull/7161>`_: Update README for 0.54 (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7162 <https://github.com/numba/numba/pull/7162>`_: CUDA: Fix linkage of device functions when compiling for debug (`Graham Markall <https://github.com/gmarkall>`_)
* PR `#7163 <https://github.com/numba/numba/pull/7163>`_: Split legalization pass to consider IR and features separately. (`stuartarchibald <https://github.com/stuartarchibald>`_)
* PR `#7165 <https://github.com/numba/numba/pull/7165>`_: Fix use of np.clip where out is not provided. (`stuartarchibald <https://github.com/stuartarchibald>`_)
Authors:
* `Alexander-Makaryev <https://github.com/Alexander-Makaryev>`_
* `Todd A. Anderson <https://github.com/DrTodd13>`_
* `Hannes Pahl <https://github.com/HPLegion>`_
* `Ivan Butygin <https://github.com/Hardcode84>`_
* `MegaIng <https://github.com/MegaIng>`_
* `Sergey Pokhodenko <https://github.com/PokhodenkoSA>`_
* `Aaron Russell Voelker <https://github.com/arvoelke>`_
* `Ashutosh Varma <https://github.com/ashutoshvarma>`_
* `Ben Greiner <https://github.com/bnavigator>`_
* `Brandon T. Willard <https://github.com/brandonwillard>`_
* `Daniel Nagel <https://github.com/braniii>`_
* `David Nadlinger <https://github.com/dnadlinger>`_
* `Ehsan Totoni <https://github.com/ehsantn>`_
* `esc <https://github.com/esc>`_
* `Felix Divo <https://github.com/felixdivo>`_
* `Graham Markall <https://github.com/gmarkall>`_
* `Guilherme Leobas <https://github.com/guilhermeleobas>`_
* `Guoqiang QI <https://github.com/guoqiangqi>`_
* `Itamar Turner-Trauring <https://github.com/itamarst>`_
* `Jérome Eertmans <https://github.com/jeertmans>`_
* `Alexey Kozlov <https://github.com/kozlov-alexey>`_
* `Lauren Arnett <https://github.com/laurenarnett>`_
* `Max Katz <https://github.com/maxpkatz>`_
* `Kalyan <https://github.com/rawwar>`_
* `Reazul Hoque <https://github.com/reazulhoque>`_
* `Rishi Kulkarni <https://github.com/rishi-kulkarni>`_
* `Shaun Cutts <https://github.com/shaunc>`_
* `Siu Kwan Lam <https://github.com/sklam>`_
* `stuartarchibald <https://github.com/stuartarchibald>`_
* `Thomas VINCENT <https://github.com/t20100>`_
* `Michael Collison <https://github.com/testhound>`_
* `vlad-perevezentsev <https://github.com/vlad-perevezentsev>`_
Version 0.53.1 (25 March, 2021)
-------------------------------
This is a bugfix release for 0.53.0. It contains the following four
pull-requests which fix two critical regressions and two build failures
reported by the openSuSe team:
* PR #6826 Fix regression on gufunc serialization
* PR #6828 Fix regression in CUDA: Set stream in mapped and managed array
device_setup
* PR #6837 Ignore warnings from packaging module when testing import behaviour.
* PR #6851 set non-reported llvm timing values to 0.0
Authors:
* Ben Greiner
* Graham Markall
* Siu Kwan Lam
* Stuart Archibald
Version 0.53.0 (11 March, 2021)
-------------------------------
This release continues to add new features, bug fixes and stability improvements
to Numba.
Highlights of core changes:
* Support for Python 3.9 (Stuart Archibald).
* Function sub-typing (Lucio Fernandez-Arjona).
* Initial support for dynamic ``gufuncs`` (i.e. from ``@guvectorize``)
(Guilherme Leobas).
* Parallel Accelerator (``@njit(parallel=True)`` now supports Fortran ordered
arrays (Todd A. Anderson and Siu Kwan Lam).
Intel also kindly sponsored research and development that lead to two new
features:
* Exposing LLVM compilation pass timings for diagnostic purposes (Siu Kwan
Lam).
* An event system for broadcasting compiler events (Siu Kwan Lam).
Highlights of changes for the CUDA target:
* CUDA 11.2 onwards (versions of the toolkit using NVVM IR 1.6 / LLVM IR 7.0.1)
are now supported (Graham Markall).
* A fast cube root function is added (Michael Collison).
* Support for atomic ``xor``, increment, decrement, exchange, are added, and
compare-and-swap is extended to support 64-bit integers (Michael Collison).
* Addition of ``cuda.is_supported_version()`` to check if the CUDA runtime
version is supported (Graham Markall).
* The CUDA dispatcher now shares infrastructure with the CPU dispatcher,
improving launch times for lazily-compiled kernels (Graham Markall).
* The CUDA Array Interface is updated to version 3, with support for streams
added (Graham Markall).
* Tuples and ``namedtuples`` can now be passed to kernels (Graham Markall).
* Initial support for Cooperative Groups is added, with support for Grid Groups
and Grid Sync (Graham Markall and Nick White).
* Support for ``math.log2`` and ``math.remainder`` is added (Guilherme Leobas).
General deprecation notices:
* There are no new general deprecations.
CUDA target deprecation notices:
* CUDA support on macOS is deprecated with this release (it still works, it is
just unsupported).
* The ``argtypes``, ``restypes``, and ``bind`` keyword arguments to the
``cuda.jit`` decorator, deprecated since 0.51.0, are removed
* The ``Device.COMPUTE_CAPABILITY`` property, deprecated since 2014, has been
removed (use ``compute_capability`` instead).
* The ``to_host`` method of device arrays is removed (use ``copy_to_host``
instead).
General Enhancements:
* PR #4769: objmode complex type spelling (Siu Kwan Lam)
* PR #5579: Function subtyping (Lucio Fernandez-Arjona)
* PR #5659: Add support for parfors creating 'F'ortran layout Numpy arrays.
(Todd A. Anderson)
* PR #5936: Improve array analysis for user-defined data types. (Todd A.
Anderson)
* PR #5938: Initial support for dynamic gufuncs (Guilherme Leobas)
* PR #5958: Making typed.List a typing Generic (Lucio Fernandez-Arjona)
* PR #6334: Support attribute access from other modules (Farah Hariri)
* PR #6373: Allow Dispatchers to be cached (Eric Wieser)
* PR #6519: Avoid unnecessary ir.Del generation and removal (Ehsan Totoni)
* PR #6545: Refactoring ParforDiagnostics (Elena Totmenina)
* PR #6560: Add LLVM pass timer (Siu Kwan Lam)
* PR #6573: Improve ``__str__`` for typed.List when invoked from IPython shell
(Amin Sadeghi)
* PR #6575: Avoid temp variable assignments (Ehsan Totoni)
* PR #6578: Add support for numpy ``intersect1d`` and basic test cases
(``@caljrobe``)
* PR #6579: Python 3.9 support. (Stuart Archibald)
* PR #6580: Store partial typing errors in compiler state (Ehsan Totoni)
* PR #6626: A simple event system to broadcast compiler events (Siu Kwan Lam)
* PR #6635: Try to resolve dynamic getitems as static post unroll transform.
(Stuart Archibald)
* PR #6636: Adds llvm_lock event (Siu Kwan Lam)
* PR #6664: Adds tests for PR 5659 (Siu Kwan Lam)
* PR #6680: Allow getattr to work in objmode output type spec (Siu Kwan Lam)
Fixes:
* PR #6176: Remove references to deprecated numpy globals (Eric Wieser)
* PR #6374: Use Python 3 style OSError handling (Eric Wieser)
* PR #6402: Fix ``typed.Dict`` and ``typed.List`` crashing on parametrized types
(Andreas Sodeur)
* PR #6403: Add ``types.ListType.key`` (Andreas Sodeur)
* PR #6410: Fixes issue #6386 (Danny Weitekamp)
* PR #6425: Fix unicode join for issue #6405 (Teugea Ioan-Teodor)
* PR #6437: Don't pass reduction variables known in an outer parfor to inner
parfors when analyzing reductions. (Todd A. Anderson)
* PR #6453: Keep original variable names in metadata to improve diagnostics
(Ehsan Totoni)
* PR #6454: FIX: Fixes for literals (Eric Larson)
* PR #6463: Bump llvmlite to 0.36 series (Stuart Archibald)
* PR #6466: Remove the misspelling of finalize_dynamic_globals (Sergey
Pokhodenko)
* PR #6489: Improve the error message for unsupported Buffer in Buffer
situation. (Stuart Archibald)
* PR #6503: Add test to ensure Numba imports without warnings. (Stuart
Archibald)
* PR #6508: Defer requirements to setup.py (Siu Kwan Lam)
* PR #6521: Skip annotated jitclass test if typeguard is running. (Stuart
Archibald)
* PR #6524: Fix typed.List return value (Lucio Fernandez-Arjona)
* PR #6562: Correcting typo in numba sysinfo output (Nick Sutcliffe)
* PR #6574: Run parfor fusion if 2 or more parfors (Ehsan Totoni)
* PR #6582: Fix typed dict error with uninitialized padding bytes (Siu Kwan
Lam)
* PR #6584: Remove jitclass from ``__init__`` ``__all__``. (Stuart Archibald)
* PR #6586: Run closure inlining ahead of branch pruning in case of nonlocal
(Stuart Archibald)
* PR #6591: Fix inlineasm test failure. (Siu Kwan Lam)
* PR #6622: Fix 6534, handle unpack of assign-like tuples. (Stuart Archibald)
* PR #6652: Simplify PR-6334 (Siu Kwan Lam)
* PR #6653: Fix get_numba_envvar (Siu Kwan Lam)
* PR #6654: Fix #6632 support alternative dtype string spellings (Stuart
Archibald)
* PR #6685: Add Python 3.9 to classifiers. (Stuart Archibald)
* PR #6693: patch to compile _devicearray.cpp with c++11 (Valentin Haenel)
* PR #6716: Consider assignment lhs live if used in rhs (Fixes #6715) (Ehsan
Totoni)
* PR #6727: Avoid errors in array analysis for global tuples with non-int
(Ehsan Totoni)
* PR #6733: Fix segfault and errors in #6668 (Siu Kwan Lam)
* PR #6741: Enable SSA in IR inliner (Ehsan Totoni)
* PR #6763: use an alternative constraint for the conda packages (Valentin
Haenel)
* PR #6786: Fix gufunc kwargs support (Siu Kwan Lam)
CUDA Enhancements/Fixes:
* PR #5162: Specify synchronization semantics of CUDA Array Interface (Graham
Markall)
* PR #6245: CUDA Cooperative grid groups (Graham Markall and Nick White)
* PR #6333: Remove dead ``_Kernel.__call__`` (Graham Markall)
* PR #6343: CUDA: Add support for passing tuples and namedtuples to kernels
(Graham Markall)
* PR #6349: Refactor Dispatcher to remove unnecessary indirection (Graham
Markall)
* PR #6358: Add log2 and remainder implementations for cuda (Guilherme Leobas)
* PR #6376: Added a fixed seed in test_atomics.py for issue #6370 (Teugea
Ioan-Teodor)
* PR #6377: CUDA: Fix various issues in test suite (Graham Markall)
* PR #6409: Implement cuda atomic xor (Michael Collison)
* PR #6422: CUDA: Remove deprecated items, expect CUDA 11.1 (Graham Markall)
* PR #6427: Remove duplicate repeated definition of gufunc (Amit Kumar)
* PR #6432: CUDA: Use ``_dispatcher.Dispatcher`` as base Dispatcher class
(Graham Markall)
* PR #6447: CUDA: Add get_regs_per_thread method to Dispatcher (Graham Markall)
* PR #6499: CUDA atomic increment, decrement, exchange and compare and swap
(Michael Collison)
* PR #6510: CUDA: Make device array assignment synchronous where necessary
(Graham Markall)
* PR #6517: CUDA: Add NVVM test of all 8-bit characters (Graham Markall)
* PR #6567: Refactor llvm replacement code into separate function (Michael
Collison)
* PR #6642: Testhound/cuda cuberoot (Michael Collison)
* PR #6661: CUDA: Support NVVM70 / CUDA 11.2 (Graham Markall)
* PR #6663: Fix error caused by missing "-static" libraries defined for some
platforms (Siu Kwan Lam)
* PR #6666: CUDA: Add a function to query whether the runtime version is
supported. (Graham Markall)
* PR #6725: CUDA: Fix compile to PTX with debug for CUDA 11.2 (Graham Markall)
Documentation Updates:
* PR #5740: Add FAQ entry on how to create a MWR. (Stuart Archibald)
* PR #6346: DOC: add where to get dev builds from to FAQ (Eyal Trabelsi)
* PR #6418: docs: use https for homepage (``@imba-tjd``)
* PR #6430: CUDA docs: Add RNG example with 3D grid and strided loops (Graham
Markall)
* PR #6436: docs: remove typo in Deprecation Notices (Thibault Ballier)
* PR #6440: Add note about performance of typed containers from the interpreter.
(Stuart Archibald)
* PR #6457: Link to read the docs instead of numba homepage (Hannes Pahl)
* PR #6470: Adding PyCon Sweden 2020 talk on numba (Ankit Mahato)
* PR #6472: Document ``numba.extending.is_jitted`` (Stuart Archibald)
* PR #6495: Fix typo in literal list docs. (Stuart Archibald)
* PR #6501: Add doc entry on Numba's limited resources and how to help. (Stuart
Archibald)
* PR #6502: Add CODEOWNERS file. (Stuart Archibald)
* PR #6531: Update canonical URL. (Stuart Archibald)
* PR #6544: Minor typo / grammar fixes to 5 minute guide (Ollin Boer Bohan)
* PR #6599: docs: fix simple typo, consevatively -> conservatively (Tim Gates)
* PR #6609: Recommend miniforge instead of c4aarch64 (Isuru Fernando)
* PR #6671: Update environment creation example to python 3.8 (Lucio
Fernandez-Arjona)
* PR #6676: Update hardware and software versions in various docs. (Stuart
Archibald)
* PR #6682: Update deprecation notices for 0.53 (Stuart Archibald)
CI/Infrastructure Updates:
* PR #6458: Enable typeguard in CI (Siu Kwan Lam)
* PR #6500: Update bug and feature request templates. (Stuart Archibald)
* PR #6516: Fix RTD build by using conda. (Stuart Archibald)
* PR #6587: Add zenodo badge (Siu Kwan Lam)
Authors:
* Amin Sadeghi
* Amit Kumar
* Andreas Sodeur
* Ankit Mahato
* Chris Barnes
* Danny Weitekamp
* Ehsan Totoni (core dev)
* Eric Larson
* Eric Wieser
* Eyal Trabelsi
* Farah Hariri
* Graham Markall
* Guilherme Leobas
* Hannes Pahl
* Isuru Fernando
* Lucio Fernandez-Arjona
* Michael Collison
* Nick Sutcliffe
* Nick White
* Ollin Boer Bohan
* Sergey Pokhodenko
* Siu Kwan Lam (core dev)
* Stuart Archibald (core dev)
* Teugea Ioan-Teodor
* Thibault Ballier
* Tim Gates
* Todd A. Anderson (core dev)
* Valentin Haenel (core dev)
* ``@caljrobe``
* ``@imba-tjd``
Version 0.52.0 (30 November, 2020)
----------------------------------
This release focuses on performance improvements, but also adds some new
features and contains numerous bug fixes and stability improvements.
Highlights of core performance improvements include:
* Intel kindly sponsored research and development into producing a new reference
count pruning pass. This pass operates at the LLVM level and can prune a
number of common reference counting patterns. This will improve performance
for two primary reasons:
* There will be less pressure on the atomic locks used to do the reference
counting.
* Removal of reference counting operations permits more inlining and the
optimisation passes can in general do more with what is present.
(Siu Kwan Lam).
* Intel also sponsored work to improve the performance of the
``numba.typed.List`` container, particularly in the case of ``__getitem__``
and iteration (Stuart Archibald).
* Superword-level parallelism vectorization is now switched on and the
optimisation pipeline has been lightly analysed and tuned so as to be able to
vectorize more and more often (Stuart Archibald).
Highlights of core feature changes include:
* The ``inspect_cfg`` method on the JIT dispatcher object has been
significantly enhanced and now includes highlighted output and interleaved
line markers and Python source (Stuart Archibald).
* The BSD operating system is now unofficially supported (Stuart Archibald).
* Numerous features/functionality improvements to NumPy support, including
support for:
* ``np.asfarray`` (Guilherme Leobas)
* "subtyping" in record arrays (Lucio Fernandez-Arjona)
* ``np.split`` and ``np.array_split`` (Isaac Virshup)
* ``operator.contains`` with ``ndarray`` (``@mugoh``).
* ``np.asarray_chkfinite`` (Rishabh Varshney).
* NumPy 1.19 (Stuart Archibald).
* the ``ndarray`` allocators, ``empty``, ``ones`` and ``zeros``, accepting a
``dtype`` specified as a string literal (Stuart Archibald).
* Booleans are now supported as literal types (Alexey Kozlov).
* On the CUDA target:
* CUDA 9.0 is now the minimum supported version (Graham Markall).
* Support for Unified Memory has been added (Max Katz).
* Kernel launch overhead is reduced (Graham Markall).
* Cudasim support for mapped array, memcopies and memset has been added (Mike
Williams).
* Access has been wired in to all libdevice functions (Graham Markall).
* Additional CUDA atomic operations have been added (Michael Collison).
* Additional math library functions (``frexp``, ``ldexp``, ``isfinite``)
(Zhihao Yuan).
* Support for ``power`` on complex numbers (Graham Markall).
Deprecations to note:
There are no new deprecations. However, note that "compatibility" mode, which
was added some 40 releases ago to help transition from 0.11 to 0.12+, has been
removed! Also, the shim to permit the import of ``jitclass`` from Numba's top
level namespace has now been removed as per the deprecation schedule.
General Enhancements:
* PR #5418: Add np.asfarray impl (Guilherme Leobas)
* PR #5560: Record subtyping (Lucio Fernandez-Arjona)
* PR #5609: Jitclass Infer Spec from Type Annotations (Ethan Pronovost)
* PR #5699: Implement np.split and np.array_split (Isaac Virshup)
* PR #6015: Adding BooleanLiteral type (Alexey Kozlov)
* PR #6027: Support operators inlining in InlineOverloads (Alexey Kozlov)
* PR #6038: Closes #6037, fixing FreeBSD compilation (László Károlyi)
* PR #6086: Add more accessible version information (Stuart Archibald)
* PR #6157: Add pipeline_class argument to @cfunc as supported by @jit. (Arthur
Peters)
* PR #6262: Support dtype from str literal. (Stuart Archibald)
* PR #6271: Support ``ndarray`` contains (``@mugoh``)
* PR #6295: Enhance inspect_cfg (Stuart Archibald)
* PR #6304: Support NumPy 1.19 (Stuart Archibald)
* PR #6309: Add suitable file search path for BSDs. (Stuart Archibald)
* PR #6341: Re roll 6279 (Rishabh Varshney and Valentin Haenel)
Performance Enhancements:
* PR #6145: Patch to fingerprint namedtuples. (Stuart Archibald)
* PR #6202: Speed up str(int) (Stuart Archibald)
* PR #6261: Add np.ndarray.ptp() support. (Stuart Archibald)
* PR #6266: Use custom LLVM refcount pruning pass (Siu Kwan Lam)
* PR #6275: Switch on SLP vectorize. (Stuart Archibald)
* PR #6278: Improve typed list performance. (Stuart Archibald)
* PR #6335: Split optimisation passes. (Stuart Archibald)
* PR #6455: Fix refprune on obfuscated refs and stabilize optimisation WRT
wrappers. (Stuart Archibald)
Fixes:
* PR #5639: Make UnicodeType inherit from Hashable (Stuart Archibald)
* PR #6006: Resolves incorrectly hoisted list in parfor. (Todd A. Anderson)
* PR #6126: fix version_info if version can not be determined (Valentin Haenel)
* PR #6137: Remove references to Python 2's long (Eric Wieser)
* PR #6139: Use direct syntax instead of the ``add_metaclass`` decorator (Eric
Wieser)
* PR #6140: Replace calls to utils.iteritems(d) with d.items() (Eric Wieser)
* PR #6141: Fix #6130 objmode cache segfault (Siu Kwan Lam)
* PR #6156: Remove callers of ``reraise`` in favor of using ``with_traceback``
directly (Eric Wieser)
* PR #6162: Move charseq support out of init (Stuart Archibald)
* PR #6165: #5425 continued (Amos Bird and Stuart Archibald)
* PR #6166: Remove Python 2 compatibility from numba.core.utils (Eric Wieser)
* PR #6185: Better error message on NotDefinedError (Luiz Almeida)
* PR #6194: Remove recursion from traverse_types (Radu Popovici)
* PR #6200: Workaround #5973 (Stuart Archibald)
* PR #6203: Make find_callname only lookup functions that are likely part of
NumPy. (Stuart Archibald)
* PR #6204: Fix unicode kind selection for getitem. (Stuart Archibald)
* PR #6206: Build all extension modules with -g -Wall -Werror on Linux x86,
provide -O0 flag option (Graham Markall)
* PR #6212: Fix for objmode recompilation issue (Alexey Kozlov)
* PR #6213: Fix #6177. Remove AOT dependency on the Numba package (Siu Kwan Lam)
* PR #6224: Add support for tuple concatenation to array analysis. (#5396
continued) (Todd A. Anderson)
* PR #6231: Remove compatibility mode (Graham Markall)
* PR #6254: Fix win-32 hashing bug (from Stuart Archibald) (Ray Donnelly)
* PR #6265: Fix #6260 (Stuart Archibald)
* PR #6267: speed up a couple of really slow unittests (Stuart Archibald)
* PR #6281: Remove numba.jitclass shim as per deprecation schedule. (Stuart
Archibald)
* PR #6294: Make return type propagate to all return variables (Andreas Sodeur)
* PR #6300: Un-skip tests that were skipped because of #4026. (Owen Anderson)
* PR #6307: Remove restrictions on SVML version due to bug in LLVM SVML CC
(Stuart Archibald)
* PR #6316: Make IR inliner tests not self mutating. (Stuart Archibald)
* PR #6318: PR #5892 continued (Todd A. Anderson, via Stuart Archibald)
* PR #6319: Permit switching off boundschecking when debug is on. (Stuart
Archibald)
* PR #6324: PR 6208 continued (Ivan Butygin and Stuart Archibald)
* PR #6337: Implements ``key`` on ``types.TypeRef`` (Andreas Sodeur)
* PR #6354: Bump llvmlite to 0.35. series. (Stuart Archibald)
* PR #6357: Fix enumerate invalid decref (Siu Kwan Lam)
* PR #6359: Fixes typed list indexing on 32bit (Stuart Archibald)
* PR #6378: Fix incorrect CPU override in vectorization test. (Stuart Archibald)
* PR #6379: Use O0 to enable inline and not affect loop-vectorization by later
O3... (Siu Kwan Lam)
* PR #6384: Fix failing tests to match on platform invariant int spelling.
(Stuart Archibald)
* PR #6390: Updates inspect_cfg (Stuart Archibald)
* PR #6396: Remove hard dependency on tbb package. (Stuart Archibald)
* PR #6408: Don't do array analysis for tuples that contain arrays. (Todd A.
Anderson)
* PR #6441: Fix ASCII flag in Unicode slicing (0.52.0rc2 regression) (Ehsan
Totoni)
* PR #6442: Fix array analysis regression in 0.52 RC2 for tuple of 1D arrays
(Ehsan Totoni)
* PR #6446: Fix #6444: pruner issues with reference stealing functions (Siu
Kwan Lam)
* PR #6450: Fix asfarray kwarg default handling. (Stuart Archibald)
* PR #6486: fix abstract base class import (Valentin Haenel)
* PR #6487: Restrict maximum version of python (Siu Kwan Lam)
* PR #6527: setup.py: fix py version guard (Chris Barnes)
CUDA Enhancements/Fixes:
* PR #5465: Remove macro expansion and replace uses with FE typing + BE lowering
(Graham Markall)
* PR #5741: CUDA: Add two-argument implementation of round() (Graham Markall)
* PR #5900: Enable CUDA Unified Memory (Max Katz)
* PR #6042: CUDA: Lower launch overhead by launching kernel directly (Graham
Markall)
* PR #6064: Lower math.frexp and math.ldexp in numba.cuda (Zhihao Yuan)
* PR #6066: Lower math.isfinite in numba.cuda (Zhihao Yuan)
* PR #6092: CUDA: Add mapped_array_like and pinned_array_like (Graham Markall)
* PR #6127: Fix race in reduction kernels on Volta, require CUDA 9, add syncwarp
with default mask (Graham Markall)
* PR #6129: Extend Cudasim to support most of the memory functionality. (Mike
Williams)
* PR #6150: CUDA: Turn on flake8 for cudadrv and fix errors (Graham Markall)
* PR #6152: CUDA: Provide wrappers for all libdevice functions, and fix typing
of math function (#4618) (Graham Markall)
* PR #6227: Raise exception when no supported architectures are found (Jacob
Tomlinson)
* PR #6244: CUDA Docs: Make workflow using simulator more explicit (Graham
Markall)
* PR #6248: Add support for CUDA atomic subtract operations (Michael Collison)
* PR #6289: Refactor atomic test cases to reduce code duplication (Michael
Collison)
* PR #6290: CUDA: Add support for complex power (Graham Markall)
* PR #6296: Fix flake8 violations in numba.cuda module (Graham Markall)
* PR #6297: Fix flake8 violations in numba.cuda.tests.cudapy module (Graham
Markall)
* PR #6298: Fix flake8 violations in numba.cuda.tests.cudadrv (Graham Markall)
* PR #6299: Fix flake8 violations in numba.cuda.simulator (Graham Markall)
* PR #6306: Fix flake8 in cuda atomic test from merge. (Stuart Archibald)
* PR #6325: Refactor code for atomic operations (Michael Collison)
* PR #6329: Flake8 fix for a CUDA test (Stuart Archibald)
* PR #6331: Explicitly state that NUMBA_ENABLE_CUDASIM needs to be set before
import (Graham Markall)
* PR #6340: CUDA: Fix #6339, performance regression launching specialized
kernels (Graham Markall)
* PR #6380: Only test managed allocations on Linux (Graham Markall)
Documentation Updates:
* PR #6090: doc: Add doc on direct creation of Numba typed-list (``@rht``)
* PR #6110: Update CONTRIBUTING.md (Stuart Archibald)
* PR #6128: CUDA Docs: Restore Dispatcher.forall() docs (Graham Markall)
* PR #6277: fix: cross2d wrong doc. reference (issue #6276) (``@jeertmans``)
* PR #6282: Remove docs on Python 2(.7) EOL. (Stuart Archibald)
* PR #6283: Add note on how public CI is impl and what users can do to help.
(Stuart Archibald)
* PR #6292: Document support for structured array attribute access
(Graham Markall)
* PR #6310: Declare unofficial \*BSD support (Stuart Archibald)
* PR #6342: Fix docs on literally usage. (Stuart Archibald)
* PR #6348: doc: fix typo in jitclass.rst ("initilising" -> "initialising")
(``@muxator``)
* PR #6362: Move llvmlite support in README to 0.35 (Stuart Archibald)
* PR #6363: Note that reference counted types are not permitted in set().
(Stuart Archibald)
* PR #6364: Move deprecation schedules for 0.52 (Stuart Archibald)
CI/Infrastructure Updates:
* PR #6252: Show channel URLs (Siu Kwan Lam)
* PR #6338: Direct user questions to Discourse instead of the Google Group.
(Stan Seibert)
* PR #6474: Add skip on PPC64LE for tests causing SIGABRT in LLVM. (Stuart
Archibald)
Authors:
* Alexey Kozlov
* Amos Bird
* Andreas Sodeur
* Arthur Peters
* Chris Barnes
* Ehsan Totoni (core dev)
* Eric Wieser
* Ethan Pronovost
* Graham Markall
* Guilherme Leobas
* Isaac Virshup
* Ivan Butygin
* Jacob Tomlinson
* Luiz Almeida
* László Károlyi
* Lucio Fernandez-Arjona
* Max Katz
* Michael Collison
* Mike Williams
* Owen Anderson
* Radu Popovici
* Ray Donnelly
* Rishabh Varshney
* Siu Kwan Lam (core dev)
* Stan Seibert (core dev)
* Stuart Archibald (core dev)
* Todd A. Anderson (core dev)
* Valentin Haenel (core dev)
* Zhihao Yuan
* ``@jeertmans``
* ``@mugoh``
* ``@muxator``
* ``@rht``
Version 0.51.2 (September 2, 2020)
----------------------------------
This is a bugfix release for 0.51.1. It fixes a critical performance bug in the
CFG back edge computation algorithm that leads to exponential time complexity
arising in compilation for use cases with certain pathological properties.
* PR #6195: PR 6187 Continue. Don't visit already checked successors
Authors:
* Graham Markall
* Siu Kwan Lam (core dev)
Version 0.51.1 (August 26, 2020)
--------------------------------
This is a bugfix release for 0.51.0, it fixes a critical bug in caching, another
critical bug in the CUDA target initialisation sequence and also fixes some
compile time performance regressions:
* PR #6141: Fix #6130 objmode cache segfault
* PR #6146: Fix compilation slowdown due to controlflow analysis
* PR #6147: CUDA: Don't make a runtime call on import
* PR #6153: Fix for #6151. Make UnicodeCharSeq into str for comparison.
* PR #6168: Fix Issue #6167: Failure in test_cuda_submodules
Authors:
* Graham Markall
* Siu Kwan Lam (core dev)
* Stuart Archibald (core dev)
Version 0.51.0 (August 12, 2020)
--------------------------------
This release continues to add new features to Numba and also contains a
significant number of bug fixes and stability improvements.
Highlights of core feature changes include:
* The compilation chain is now based on LLVM 10 (Valentin Haenel).
* Numba has internally switched to prefer non-literal types over literal ones so
as to reduce function over-specialisation, this with view of speeding up
compile times (Siu Kwan Lam).
* On the CUDA target: Support for CUDA Toolkit 11, Ampere, and Compute
Capability 8.0; Printing of ``SASS`` code for kernels; Callbacks to Python
functions can be inserted into CUDA streams, and streams are async awaitable;
Atomic ``nanmin`` and ``nanmax`` functions are added; Fixes for various
miscompilations and segfaults. (mostly Graham Markall; call backs on
streams by Peter Würtz).
Intel also kindly sponsored research and development that lead to some exciting
new features:
* Support for heterogeneous immutable lists and heterogeneous immutable string
key dictionaries. Also optional initial/construction value capturing for all
lists and dictionaries containing literal values (Stuart Archibald).
* A new pass-by-reference mutable structure extension type ``StructRef`` (Siu
Kwan Lam).
* Object mode blocks are now cacheable, with the side effect of numerous bug
fixes and performance improvements in caching. This also permits caching of
functions defined in closures (Siu Kwan Lam).
Deprecations to note:
To align with other targets, the ``argtypes`` and ``restypes`` kwargs to
``@cuda.jit`` are now deprecated, the ``bind`` kwarg is also deprecated.
Further the ``target`` kwarg to the ``numba.jit`` decorator family is
deprecated.
General Enhancements:
* PR #5463: Add str(int) impl
* PR #5526: Impl. np.asarray(literal)
* PR #5619: Add support for multi-output ufuncs
* PR #5711: Division with timedelta input
* PR #5763: Support minlength argument to np.bincount
* PR #5779: Return zero array from np.dot when the arguments are empty.
* PR #5796: Add implementation for np.positive
* PR #5849: Setitem for records when index is StringLiteral, including literal
unroll
* PR #5856: Add support for conversion of inplace_binop to parfor.
* PR #5893: Allocate 1D iteration space one at a time for more even
distribution.
* PR #5922: Reduce objmode and unpickling overhead
* PR #5944: re-enable OpenMP in wheels
* PR #5946: Implement literal dictionaries and lists.
* PR #5956: Update numba_sysinfo.py
* PR #5978: Add structref as a mutable struct that is pass-by-ref
* PR #5980: Deprecate target kwarg for numba.jit.
* PR #6058: Add prefer_literal option to overload API
Fixes:
* PR #5674: Fix #3955. Allow `with objmode` to be cached
* PR #5724: Initialize process lock lazily to prevent multiprocessing issue
* PR #5783: Make np.divide and np.remainder code more similar
* PR #5808: Fix 5665 Block jit(nopython=True, forceobj=True) and suppress
njit(forceobj=True)
* PR #5834: Fix the is operator on Ellipsis
* PR #5838: Ensure ``Dispatcher.__eq__`` always returns a bool
* PR #5841: cleanup: Use PythonAPI.bool_from_bool in more places
* PR #5862: Do not leak loop iteration variables into the numba.np.npyimpl
namespace
* PR #5869: Update repomap
* PR #5879: Fix erroneous input mutation in linalg routines
* PR #5882: Type check function in jit decorator
* PR #5925: Use np.inf and -np.inf for max and min float values respectively.
* PR #5935: Fix default arguments with multiprocessing
* PR #5952: Fix "Internal error ... local variable 'errstr' referenced before
assignment during BoundFunction(...)"
* PR #5962: Fix SVML tests with LLVM 10 and AVX512
* PR #5972: fix flake8 for numba/runtests.py
* PR #5995: Update setup.py with new llvmlite versions
* PR #5996: Set lower bound for llvmlite to 0.33
* PR #6004: Fix problem in branch pruning with LiteralStrKeyDict
* PR #6017: Fixing up numba_do_raise
* PR #6028: Fix #6023
* PR #6031: Continue 5821
* PR #6035: Fix overspecialize of literal
* PR #6046: Fixes statement reordering bug in maximize fusion step.
* PR #6056: Fix issue on invalid inlining of non-empty build_list by
inline_arraycall
* PR #6057: fix aarch64/python_3.8 failure on master
* PR #6070: Fix overspecialized containers
* PR #6071: Remove f-strings in setup.py
* PR #6072: Fix for #6005
* PR #6073: Fixes invalid C prototype in helper function.
* PR #6078: Duplicate NumPy's PyArray_DescrCheck macro
* PR #6081: Fix issue with cross drive use and relpath.
* PR #6083: Fix bug in initial value unify.
* PR #6087: remove invalid sanity check from randrange tests
* PR #6089: Fix invalid reference to TypingError
* PR #6097: Add function code and closure bytes into cache key
* PR #6099: Restrict upper limit of TBB version due to ABI changes.
* PR #6101: Restrict lower limit of icc_rt version due to assumed SVML bug.
* PR #6107: Fix and test #6095
* PR #6109: Fixes an issue reported in #6094
* PR #6111: Decouple LiteralList and LiteralStrKeyDict from tuple
* PR #6116: Fix #6102. Problem with non-unique label.
CUDA Enhancements/Fixes:
* PR #5359: Remove special-casing of 0d arrays
* PR #5709: CUDA: Refactoring of cuda.jit and kernel / dispatcher abstractions
* PR #5732: CUDA Docs: document ``forall`` method of kernels
* PR #5745: CUDA stream callbacks and async awaitable streams
* PR #5761: Add implmentation for int types for isnan and isinf for CUDA
* PR #5819: Add support for CUDA 11 and Ampere / CC 8.0
* PR #5826: CUDA: Add function to get SASS for kernels
* PR #5846: CUDA: Allow disabling NVVM optimizations, and fix debug issues
* PR #5851: CUDA EMM enhancements - add default get_ipc_handle implementation,
skip a test conditionally
* PR #5852: CUDA: Fix ``cuda.test()``
* PR #5857: CUDA docs: Add notes on resetting the EMM plugin
* PR #5859: CUDA: Fix reduce docs and style improvements
* PR #6016: Fixes change of list spelling in a cuda test.
* PR #6020: CUDA: Fix #5820, adding atomic nanmin / nanmax
* PR #6030: CUDA: Don't optimize IR before sending it to NVVM
* PR #6052: Fix dtype for atomic_add_double testsuite