2024-06-06 18:27:10 +02:00
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue May 28 09:30:26 UTC 2024 - Daniel Garcia <daniel.garcia@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Skip broken test on ppc64le
|
|
|
|
|
|
bsc#1225394, gh#numba/numba#8489
|
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|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
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|
|
Fri Mar 22 20:05:25 UTC 2024 - Dirk Müller <dmueller@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- update to 0.59.1:
|
|
|
|
|
|
* Fixed caching of kernels that use target-specific overloads
|
|
|
|
|
|
* Fixed a performance regression introduced in Numba 0.59 which
|
|
|
|
|
|
made ``np.searchsorted`` considerably slower.
|
|
|
|
|
|
* This patch fixes two issues with ``np.searchsorted``. First,
|
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|
|
|
|
a regression is fixed in the support of ``np.datetime64``.
|
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|
|
Second, adopt ``NAT``-aware comparisons to fix mishandling
|
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|
|
of ``NAT`` value.
|
|
|
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|
|
* Allow use of Python 3.12 PEP-695 type parameter syntax
|
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|
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|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Mar 8 15:37:58 UTC 2024 - Ben Greiner <code@bnavigator.de>
|
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|
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|
|
|
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|
|
- Stop testing python39: dropped since ipython 8.19
|
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|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
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|
|
|
|
Wed Feb 21 15:35:47 UTC 2024 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
|
|
- Simplify test flavor logic
|
|
|
|
|
|
- Prepare for python39 flavor drop: Exclude build in empty test
|
|
|
|
|
|
flavors
|
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|
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|
|
- Don't test on 32bit-platforms
|
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|
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|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sat Feb 3 07:04:27 UTC 2024 - Dirk Müller <dmueller@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- update to 0.59.0
|
|
|
|
|
|
* Python 3.12 support
|
|
|
|
|
|
* minimum supported version to 3.9
|
|
|
|
|
|
* Add support for ufunc attributes and reduce
|
|
|
|
|
|
* Add a config variable to enable / disable the llvmlite memory
|
|
|
|
|
|
manager
|
|
|
|
|
|
* see https://numba.readthedocs.io/en/stable/release/0.59.0-notes.html#highlights
|
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|
|
|
2024-05-03 21:40:28 +02:00
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Nov 20 12:15:07 UTC 2023 - Markéta Machová <mmachova@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.58.1
|
|
|
|
|
|
* Added towncrier
|
|
|
|
|
|
* The minimum supported NumPy version is 1.22.
|
|
|
|
|
|
* Add support for NumPy 1.26
|
|
|
|
|
|
* Remove NVVM 3.4 and CTK 11.0 / 11.1 support
|
|
|
|
|
|
* Removal of Windows 32-bit Support
|
|
|
|
|
|
* The minimum llvmlite version is now 0.41.0.
|
|
|
|
|
|
* Added RVSDG-frontend
|
|
|
|
|
|
- Drop merged patches:
|
|
|
|
|
|
* numba-pr9105-np1.25.patch
|
|
|
|
|
|
* multiprocessing-context.patch
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Sep 19 12:08:03 UTC 2023 - Markéta Machová <mmachova@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Add multiprocessing-context.patch fixing tests for Python 3.11.5
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Aug 21 19:53:19 UTC 2023 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
|
|
- Add numba-pr9105-np1.25.patch, raise (reintroduced) numpy pin
|
|
|
|
|
|
* gh#numba/numba#9105
|
|
|
|
|
|
* Adapted gh#numba/numba#9138
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Aug 14 06:47:15 UTC 2023 - Dirk Müller <dmueller@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- update to 0.57.1:
|
2024-06-06 18:27:10 +02:00
|
|
|
|
* fix regressions with 0.57.0
|
2024-05-03 21:40:28 +02:00
|
|
|
|
- remove upper bound on numpy - upstream does not have it either
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri May 26 13:28:26 UTC 2023 - Steve Kowalik <steven.kowalik@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.57.0:
|
|
|
|
|
|
* Support for Python 3.11 (minimum is moved to 3.8)
|
|
|
|
|
|
* Support for NumPy 1.24 (minimum is moved to 1.21)
|
|
|
|
|
|
* Python language support enhancements:
|
|
|
|
|
|
+ Exception classes now support arguments that are not compile time
|
|
|
|
|
|
constant.
|
|
|
|
|
|
+ The built-in functions hasattr and getattr are supported for compile
|
|
|
|
|
|
time constant attributes.
|
|
|
|
|
|
+ The built-in functions str and repr are now implemented similarly to
|
|
|
|
|
|
their Python implementations. Custom __str__ and __repr__ functions
|
|
|
|
|
|
can be associated with types and work as expected.
|
|
|
|
|
|
+ Numba’s unicode functionality in str.startswith now supports kwargs
|
|
|
|
|
|
start and end.
|
|
|
|
|
|
+ min and max now support boolean types.
|
2024-06-06 18:27:10 +02:00
|
|
|
|
+ Support is added for the dict(iterable) constructor.
|
2024-05-03 21:40:28 +02:00
|
|
|
|
- Dropped patches:
|
|
|
|
|
|
* numba-pr8620-np1.24.patch
|
|
|
|
|
|
* update-tbb-backend-calls-2021.6.patch
|
|
|
|
|
|
- Rebased existing patch.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Wed Apr 12 05:53:24 UTC 2023 - Steve Kowalik <steven.kowalik@suse.com>
|
|
|
|
|
|
|
2024-06-06 18:27:10 +02:00
|
|
|
|
- Clean up leftover Python 3.8 gubbins, look forward to Python 3.11 support.
|
2024-05-03 21:40:28 +02:00
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Apr 11 08:30:00 UTC 2023 - Dominique Leuenberger <dimstar@opensuse.org>
|
|
|
|
|
|
|
|
|
|
|
|
- Remove test-py38 flavor from multibuild: Python 3.8 is no longer
|
|
|
|
|
|
supported.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Jan 3 12:13:00 UTC 2023 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
|
|
- Split out python flavors into testing multibuilds. Depending on
|
|
|
|
|
|
the obs worker, the test suite can take almost an hour per
|
|
|
|
|
|
flavor.
|
|
|
|
|
|
- Replace allow-numpy-1.24.patch with an updated
|
|
|
|
|
|
numba-pr8620-np1.24.patch to also work with still present numpy
|
|
|
|
|
|
1.23 in Factory (discussed upstream in gh#numba/numba#8620)
|
|
|
|
|
|
- Merge fix-cli-test.patch into skip-failing-tests.patch
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Jan 2 21:27:24 UTC 2023 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
|
|
- Clean up the specfile
|
|
|
|
|
|
* restore the multibuild
|
|
|
|
|
|
* Patch allow-numpy-1.24.patch is the WIP gh#numba/numba#8620
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sun Jan 1 11:41:11 UTC 2023 - Matej Cepl <mcepl@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.56.4:
|
|
|
|
|
|
- This is a bugfix release to fix a regression in the CUDA
|
|
|
|
|
|
target in relation to the .view() method on CUDA device
|
|
|
|
|
|
arrays that is present when using NumPy version 1.23.0 or
|
|
|
|
|
|
later.
|
|
|
|
|
|
- This is a bugfix release to remove the version restriction
|
|
|
|
|
|
applied to the setuptools package and to fix a bug in the
|
|
|
|
|
|
CUDA target in relation to copying zero length device arrays
|
|
|
|
|
|
to zero length host arrays.
|
|
|
|
|
|
- Add allow-numpy-1.24.patch to allow work with numpy 1.24
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Oct 10 10:07:52 UTC 2022 - John Vandenberg <jayvdb@gmail.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Allow numpy 1.23
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Oct 3 12:02:05 UTC 2022 - Daniel Garcia <daniel.garcia@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.56.2
|
|
|
|
|
|
This release continues to add new features, bug fixes and stability
|
|
|
|
|
|
improvements to Numba. Please note that this will be the last release that
|
|
|
|
|
|
has support for Python 3.7 as the next release series (Numba 0.57) will
|
|
|
|
|
|
support Python 3.11! Also note that, this will be the last release to support
|
|
|
|
|
|
linux-32 packages produced by the Numba team.
|
|
|
|
|
|
|
|
|
|
|
|
- Remove fix-max-name-size.patch, it's included in the new version.
|
|
|
|
|
|
- Add update-tbb-backend-calls-2021.6.patch to make it compatible with the
|
|
|
|
|
|
latest tbb-devel version.
|
|
|
|
|
|
- Add fix-cli-test.patch to disable one test that fails with OBS.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Jul 11 16:05:33 UTC 2022 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.55.2
|
|
|
|
|
|
* This is a maintenance release to support NumPy 1.22 and Apple
|
|
|
|
|
|
M1.
|
|
|
|
|
|
* Backport #8027: Support for NumPy 1.22
|
|
|
|
|
|
* update max NumPy for 0.55.2
|
|
|
|
|
|
* Backport #8052 Ensure pthread is linked in when building for
|
|
|
|
|
|
ppc64le.
|
|
|
|
|
|
* Backport #8102 to fix numpy requirements
|
|
|
|
|
|
* Backport #8109 Pin TBB support with respect to incompatible
|
|
|
|
|
|
2021.6 API.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sat Jan 29 13:23:43 UTC 2022 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.55.1
|
|
|
|
|
|
* This is a bugfix release that closes all the remaining issues
|
|
|
|
|
|
from the accelerated release of 0.55.0 and also any release
|
|
|
|
|
|
critical regressions discovered since then.
|
|
|
|
|
|
* CUDA target deprecation notices:
|
|
|
|
|
|
- Support for CUDA toolkits < 10.2 is deprecated and will be
|
|
|
|
|
|
removed in Numba 0.56.
|
|
|
|
|
|
- Support for devices with Compute Capability < 5.3 is
|
|
|
|
|
|
deprecated and will be removed in Numba 0.56.
|
|
|
|
|
|
- Drop numba-pr7748-random32bitwidth.patch
|
|
|
|
|
|
- Explicitly declare supported platforms (avoid failing tests on
|
|
|
|
|
|
ppc64)
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Jan 14 16:55:37 UTC 2022 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.55.0
|
|
|
|
|
|
* This release includes a significant number important dependency
|
|
|
|
|
|
upgrades along with a number of new features and bug fixes.
|
|
|
|
|
|
* NOTE: Due to NumPy CVE-2021-33430 this release has bypassed the
|
|
|
|
|
|
usual release process so as to promptly provide a Numba release
|
|
|
|
|
|
that supports NumPy 1.21. A single release candidate (RC1) was
|
|
|
|
|
|
made and a few issues were reported, these are summarised as
|
|
|
|
|
|
follows and will be fixed in a subsequent 0.55.1 release.
|
|
|
|
|
|
* Known issues with this release:
|
|
|
|
|
|
- Incorrect result copying array-typed field of structured
|
|
|
|
|
|
array (#7693)
|
|
|
|
|
|
- Two issues in DebugInfo generation (#7726, #7730)
|
|
|
|
|
|
- Compilation failure for hash of floating point values on 32
|
|
|
|
|
|
bit Windows when using Python 3.10 (#7713).
|
|
|
|
|
|
* Support for Python 3.10
|
|
|
|
|
|
* Support for NumPy 1.21
|
|
|
|
|
|
* The minimum supported NumPy version is raised to 1.18 for
|
|
|
|
|
|
runtime (compilation however remains compatible with NumPy
|
|
|
|
|
|
1.11).
|
|
|
|
|
|
* Experimental support for isinstance.
|
|
|
|
|
|
* The following functions are now supported:
|
|
|
|
|
|
- np.broadcast_to
|
|
|
|
|
|
- np.float_power
|
|
|
|
|
|
- np.cbrt
|
|
|
|
|
|
- np.logspace
|
|
|
|
|
|
- np.take_along_axis
|
|
|
|
|
|
- np.average
|
|
|
|
|
|
- np.argmin gains support for the axis kwarg.
|
|
|
|
|
|
- np.ndarray.astype gains support for types expressed as
|
|
|
|
|
|
literal strings.
|
|
|
|
|
|
* For users of the Numba extension API, Numba now has a new error
|
|
|
|
|
|
handling mode whereby it will treat all exceptions that do not
|
|
|
|
|
|
inherit from numba.errors.NumbaException as a “hard error” and
|
|
|
|
|
|
immediately unwind the stack. This makes it much easier to
|
|
|
|
|
|
debug when writing @overloads etc from the extension API as
|
|
|
|
|
|
there’s now no confusion between Python errors and Numba
|
|
|
|
|
|
errors. This feature can be enabled by setting the environment
|
|
|
|
|
|
variable: NUMBA_CAPTURED_ERRORS='new_style'.
|
|
|
|
|
|
* The threading layer selection priority can now be changed via
|
|
|
|
|
|
the environment variable NUMBA_THREADING_LAYER_PRIORITY.
|
|
|
|
|
|
* Support for NVIDIA’s CUDA Python bindings.
|
|
|
|
|
|
* Support for 16-bit floating point numbers and their basic
|
|
|
|
|
|
operations via intrinsics.
|
|
|
|
|
|
* Streams are provided in the Stream.async_done result, making it
|
|
|
|
|
|
easier to implement asynchronous work queues.
|
|
|
|
|
|
* Support for structured types in device arrays, character
|
|
|
|
|
|
sequences in NumPy arrays, and some array operations on nested
|
|
|
|
|
|
arrays.
|
|
|
|
|
|
* Much underlying refactoring to align the CUDA target more
|
|
|
|
|
|
closely with the CPU target, which lays the groudwork for
|
|
|
|
|
|
supporting the high level extension API in CUDA in future
|
|
|
|
|
|
releases.
|
|
|
|
|
|
* Intel also kindly sponsored research and development into
|
|
|
|
|
|
native debug (DWARF) support and handling per-function
|
|
|
|
|
|
compilation flags:
|
|
|
|
|
|
* Line number/location tracking is much improved.
|
|
|
|
|
|
* Numba’s internal representation of containers (e.g. tuples,
|
|
|
|
|
|
arrays) are now encoded as structures.
|
|
|
|
|
|
* Numba’s per-function compilation flags are encoded into the ABI
|
|
|
|
|
|
field of the mangled name of the function such that it’s
|
|
|
|
|
|
possible to compile and differentiate between versions of the
|
|
|
|
|
|
same function with different flags set.
|
|
|
|
|
|
* There are no new general deprecations.
|
|
|
|
|
|
* There are no new CUDA target deprecations.
|
|
|
|
|
|
- Drop numba-pr7483-numpy1_21.patch
|
|
|
|
|
|
- Add numba-pr7748-random32bitwidth.patch -- gh#numba/numba#7748
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sat Jan 8 22:19:07 UTC 2022 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
|
|
- Numba <0.55 is not compatible with Python 3.10 or NumPy 1.22
|
|
|
|
|
|
gh#numba/numba#7557
|
|
|
|
|
|
- Add test skip to numba-pr7483-numpy1_21.patch due to numpy update
|
|
|
|
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gh#numpy/numpy#20376
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-------------------------------------------------------------------
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Thu Nov 18 18:42:21 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- Update to 0.54.1
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* This is a bugfix release for 0.54.0. It fixes a regression in
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structured array type handling, a potential leak on
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initialization failure in the CUDA target, a regression caused
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by Numba’s vendored cloudpickle module resetting dynamic
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classes and a few minor testing/infrastructure related
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problems.
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- Release summary for 0.54.0
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* This release includes a significant number of new features,
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important refactoring, critical bug fixes and a number of
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dependency upgrades.
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* Python language support enhancements:
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- Basic support for f-strings.
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- dict comprehensions are now supported.
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- The sum built-in function is implemented.
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* NumPy features/enhancements, The following functions are now
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supported:
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- np.clip
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- np.iscomplex
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- np.iscomplexobj
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- np.isneginf
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- np.isposinf
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- np.isreal
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- np.isrealobj
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- np.isscalar
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- np.random.dirichlet
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- np.rot90
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- np.swapaxes
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* Also np.argmax has gained support for the axis keyword argument
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and it’s now possible to use 0d NumPy arrays as scalars in
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__setitem__ calls.
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Internal changes:
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* Debugging support through DWARF has been fixed and enhanced.
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* Numba now optimises the way in which locals are emitted to help
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reduce time spend in LLVM’s SROA passes.
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CUDA target changes:
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* Support for emitting lineinfo to be consumed by profiling tools
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such as Nsight Compute
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* Improved fastmath code generation for various trig, division,
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and other functions
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* Faster compilation using lazy addition of libdevice to compiled
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units
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* Support for IPC on Windows
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* Support for passing tuples to CUDA ufuncs
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* Performance warnings:
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- When making implicit copies by calling a kernel on arrays in
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host memory
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- When occupancy is poor due to kernel or ufunc/gufunc
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configuration
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* Support for implementing warp-aggregated intrinsics:
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- Using support for more CUDA functions: activemask(),
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lanemask_lt()
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- The ffs() function now works correctly!
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* Support for @overload in the CUDA target
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Intel kindly sponsored research and development that lead to a
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number of new features and internal support changes:
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* Dispatchers can now be retargetted to a new target via a user
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defined context manager.
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* Support for custom NumPy array subclasses has been added
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(including an overloadable memory allocator).
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* An inheritance based model for targets that permits targets to
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share @overload implementations.
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* Per function compiler flags with inheritance behaviours.
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* The extension API now has support for overloading class methods
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via the @overload_classmethod decorator.
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2024-06-06 18:27:10 +02:00
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2024-05-03 21:40:28 +02:00
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Deprecations:
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* The ROCm target (for AMD ROC GPUs) has been moved to an
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“unmaintained” status and a seperate repository stub has been
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created for it at: https://github.com/numba/numba-rocm
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2024-06-06 18:27:10 +02:00
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2024-05-03 21:40:28 +02:00
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CUDA target deprecations and breaking changes:
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* Relaxed strides checking is now the default when computing the
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contiguity of device arrays.
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* The inspect_ptx() method is deprecated. For use cases that
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obtain PTX for further compilation outside of Numba, use
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compile_ptx() instead.
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* Eager compilation of device functions (the case when
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device=True and a signature is provided) is deprecated.
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2024-06-06 18:27:10 +02:00
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2024-05-03 21:40:28 +02:00
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Version support/dependency changes:
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* LLVM 11 is now supported on all platforms via llvmlite.
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* The minimum supported Python version is raised to 3.7.
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* NumPy version 1.20 is supported.
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* The minimum supported NumPy version is raised to 1.17 for
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runtime (compilation however remains compatible with NumPy
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1.11).
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* Vendor cloudpickle v1.6.0 – now used for all pickle operations.
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* TBB >= 2021 is now supported and all prior versions are
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unsupported (not easily possible to maintain the ABI breaking
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changes).
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- Full release notes;
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https://numba.readthedocs.io/en/0.54.1/release-notes.html
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- Drop patches merged upstream:
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* packaging-ignore-setuptools-deprecation.patch
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* numba-pr6851-llvm-timings.patch
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- Refresh skip-failing-tests.patch, fix-max-name-size.patch
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- Add numba-pr7483-numpy1_21.patch gh#numba/numba#7176,
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gh#numba/numba#7483
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-------------------------------------------------------------------
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Wed Mar 17 16:51:46 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- Update to 0.53.0
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* Support for Python 3.9
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* Function sub-typing
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* Initial support for dynamic gufuncs (i.e. from @guvectorize)
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* Parallel Accelerator (@njit(parallel=True) now supports
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Fortran ordered arrays
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* Full release notes at
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https://numba.readthedocs.io/en/0.53.0/release-notes.html
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- Don't unpin-llvmlite.patch. It really need to be the correct
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version.
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- Refresh skip-failing-tests.patch
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- Add packaging-ignore-setuptools-deprecation.patch
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gh#numba/numba#6837
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- Add numba-pr6851-llvm-timings.patch gh#numba/numba#6851 in order
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to fix 32-bit issues gh#numba/numba#6832
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-------------------------------------------------------------------
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Wed Feb 17 09:49:48 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- Update to 0.52.0
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https://numba.readthedocs.io/en/stable/release-notes.html
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2024-06-06 18:27:10 +02:00
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This release focuses on performance improvements, but also adds
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some new features and contains numerous bug fixes and stability
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2024-05-03 21:40:28 +02:00
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improvements.
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Highlights of core performance improvements include:
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2024-06-06 18:27:10 +02:00
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* Intel kindly sponsored research and development into producing
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a new reference count pruning pass. This pass operates at the
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LLVM level and can prune a number of common reference counting
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patterns. This will improve performance for two primary
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2024-05-03 21:40:28 +02:00
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reasons:
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2024-06-06 18:27:10 +02:00
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- There will be less pressure on the atomic locks used to do
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2024-05-03 21:40:28 +02:00
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the reference counting.
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2024-06-06 18:27:10 +02:00
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- Removal of reference counting operations permits more
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inlining and the optimisation passes can in general do more
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2024-05-03 21:40:28 +02:00
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with what is present.
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(Siu Kwan Lam).
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2024-06-06 18:27:10 +02:00
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* Intel also sponsored work to improve the performance of the
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numba.typed.List container, particularly in the case of
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2024-05-03 21:40:28 +02:00
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__getitem__ and iteration (Stuart Archibald).
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2024-06-06 18:27:10 +02:00
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* Superword-level parallelism vectorization is now switched on
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and the optimisation pipeline has been lightly analysed and
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tuned so as to be able to vectorize more and more often
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2024-05-03 21:40:28 +02:00
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(Stuart Archibald).
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Highlights of core feature changes include:
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2024-06-06 18:27:10 +02:00
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* The inspect_cfg method on the JIT dispatcher object has been
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significantly enhanced and now includes highlighted output and
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2024-05-03 21:40:28 +02:00
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interleaved line markers and Python source (Stuart Archibald).
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2024-06-06 18:27:10 +02:00
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* The BSD operating system is now unofficially supported (Stuart
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2024-05-03 21:40:28 +02:00
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Archibald).
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2024-06-06 18:27:10 +02:00
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* Numerous features/functionality improvements to NumPy support,
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2024-05-03 21:40:28 +02:00
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including support for:
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- np.asfarray (Guilherme Leobas)
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- “subtyping” in record arrays (Lucio Fernandez-Arjona)
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- np.split and np.array_split (Isaac Virshup)
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- operator.contains with ndarray (@mugoh).
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- np.asarray_chkfinite (Rishabh Varshney).
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- NumPy 1.19 (Stuart Archibald).
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2024-06-06 18:27:10 +02:00
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- the ndarray allocators, empty, ones and zeros, accepting a
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2024-05-03 21:40:28 +02:00
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dtype specified as a string literal (Stuart Archibald).
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* Booleans are now supported as literal types (Alexey Kozlov).
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* On the CUDA target:
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* CUDA 9.0 is now the minimum supported version (Graham Markall).
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* Support for Unified Memory has been added (Max Katz).
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* Kernel launch overhead is reduced (Graham Markall).
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2024-06-06 18:27:10 +02:00
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* Cudasim support for mapped array, memcopies and memset has
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2024-05-03 21:40:28 +02:00
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been * added (Mike Williams).
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* Access has been wired in to all libdevice functions (Graham
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Markall).
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2024-06-06 18:27:10 +02:00
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* Additional CUDA atomic operations have been added (Michae
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2024-05-03 21:40:28 +02:00
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Collison).
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2024-06-06 18:27:10 +02:00
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* Additional math library functions (frexp, ldexp, isfinite)
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2024-05-03 21:40:28 +02:00
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(Zhihao * Yuan).
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* Support for power on complex numbers (Graham Markall).
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Deprecations to note:
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2024-06-06 18:27:10 +02:00
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* There are no new deprecations. However, note that
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“compatibility” mode, which was added some 40 releases ago to
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help transition from 0.11 to 0.12+, has been removed! Also,
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the shim to permit the import of jitclass from Numba’s top
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level namespace has now been removed as per the deprecation
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2024-05-03 21:40:28 +02:00
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schedule.
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- NEP 29: Skip python36 build. Python 3.6 is dropped by NumPy 1.20
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-------------------------------------------------------------------
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Mon Nov 2 16:34:48 UTC 2020 - Marketa Calabkova <mcalabkova@suse.com>
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- Update to 0.51.2
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* The compilation chain is now based on LLVM 10 (Valentin Haenel).
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* Numba has internally switched to prefer non-literal types over literal ones so
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as to reduce function over-specialisation, this with view of speeding up
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compile times (Siu Kwan Lam).
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* On the CUDA target: Support for CUDA Toolkit 11, Ampere, and Compute
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Capability 8.0; Printing of ``SASS`` code for kernels; Callbacks to Python
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functions can be inserted into CUDA streams, and streams are async awaitable;
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Atomic ``nanmin`` and ``nanmax`` functions are added; Fixes for various
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miscompilations and segfaults. (mostly Graham Markall; call backs on
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streams by Peter Würtz).
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* Support for heterogeneous immutable lists and heterogeneous immutable string
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key dictionaries. Also optional initial/construction value capturing for all
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lists and dictionaries containing literal values (Stuart Archibald).
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* A new pass-by-reference mutable structure extension type ``StructRef`` (Siu
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Kwan Lam).
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* Object mode blocks are now cacheable, with the side effect of numerous bug
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fixes and performance improvements in caching. This also permits caching of
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functions defined in closures (Siu Kwan Lam).
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* The error handling and reporting system has been improved to reduce the size
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of error messages, and also improve quality and specificity.
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* The CUDA target has more stream constructors available and a new function for
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compiling to PTX without linking and loading the code to a device. Further,
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the macro-based system for describing CUDA threads and blocks has been
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replaced with standard typing and lowering implementations, for improved
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debugging and extensibility.
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- Better unpin llvmlite with unpin-llvmlite.patch to avoid breakages
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-------------------------------------------------------------------
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Wed May 27 07:24:32 UTC 2020 - pgajdos@suse.com
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- version update to 0.49.1
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* PR #5587: Fixed #5586 Threading Implementation Typos
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* PR #5592: Fixes #5583 Remove references to cffi_support from docs and examples
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* PR #5614: Fix invalid type in resolve for comparison expr in parfors.
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* PR #5624: Fix erroneous rewrite of predicate to bit const on prune.
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* PR #5627: Fixes #5623, SSA local def scan based on invalid equality
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assumption.
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* PR #5629: Fixes naming error in array_exprs
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* PR #5630: Fix #5570. Incorrect race variable detection due to SSA naming.
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* PR #5638: Make literal_unroll function work as a freevar.
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* PR #5648: Unset the memory manager after EMM Plugin tests
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* PR #5651: Fix some SSA issues
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* PR #5652: Pin to sphinx=2.4.4 to avoid problem with C declaration
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* PR #5658: Fix unifying undefined first class function types issue
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* PR #5669: Update example in 5m guide WRT SSA type stability.
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* PR #5676: Restore ``numba.types`` as public API
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-------------------------------------------------------------------
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Fri Apr 24 14:07:35 UTC 2020 - Marketa Calabkova <mcalabkova@suse.com>
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- Update to 0.49.0
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* Removal of all Python 2 related code and also updating the minimum supported
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Python version to 3.6, the minimum supported NumPy version to 1.15 and the
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minimum supported SciPy version to 1.0. (Stuart Archibald).
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|
|
|
|
|
* Refactoring of the Numba code base. The code is now organised into submodules
|
|
|
|
|
|
by functionality. This cleans up Numba's top level namespace.
|
|
|
|
|
|
(Stuart Archibald).
|
|
|
|
|
|
* Introduction of an ``ir.Del`` free static single assignment form for Numba's
|
|
|
|
|
|
intermediate representation (Siu Kwan Lam and Stuart Archibald).
|
|
|
|
|
|
* An OpenMP-like thread masking API has been added for use with code using the
|
|
|
|
|
|
parallel CPU backends (Aaron Meurer and Stuart Archibald).
|
|
|
|
|
|
* For the CUDA target, all kernel launches now require a configuration, this
|
|
|
|
|
|
preventing accidental launches of kernels with the old default of a single
|
|
|
|
|
|
thread in a single block. The hard-coded autotuner is also now removed, such
|
|
|
|
|
|
tuning is deferred to CUDA API calls that provide the same functionality
|
|
|
|
|
|
(Graham Markall).
|
|
|
|
|
|
* The CUDA target also gained an External Memory Management plugin interface to
|
|
|
|
|
|
allow Numba to use another CUDA-aware library for all memory allocations and
|
|
|
|
|
|
deallocations (Graham Markall).
|
|
|
|
|
|
* The Numba Typed List container gained support for construction from iterables
|
|
|
|
|
|
(Valentin Haenel).
|
|
|
|
|
|
* Experimental support was added for first-class function types
|
|
|
|
|
|
(Pearu Peterson).
|
2024-06-06 18:27:10 +02:00
|
|
|
|
- Refreshed patch skip-failing-tests.patch
|
2024-05-03 21:40:28 +02:00
|
|
|
|
* the troublesome tests are skipped upstream on 32-bit
|
|
|
|
|
|
- Unpin llvmlite
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Apr 6 07:56:16 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Switch to multibuilt as the tests take ages to build and we
|
|
|
|
|
|
could speed things up in 2 loops
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Feb 21 09:39:07 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.48.0:
|
|
|
|
|
|
* Many fixes for llvm/cuda updates; see CHANGE_LOG for details
|
|
|
|
|
|
* Drop python2 support
|
|
|
|
|
|
- Add one more failing test to skip:
|
|
|
|
|
|
* skip-failing-tests.patch
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Dec 17 23:28:40 CET 2019 - Matej Cepl <mcepl@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Clean up SPEC file (mostly just testing new python-llvmlite
|
|
|
|
|
|
package)
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Thu Oct 24 20:55:10 UTC 2019 - Todd R <toddrme2178@gmail.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Restore python2 support.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Thu Sep 26 08:06:01 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.46.0:
|
|
|
|
|
|
* Many fixes and changes for llvm/cuda updates
|
|
|
|
|
|
See CHANGE_LOG file for details
|
|
|
|
|
|
- Add fix-max-name-size.patch to fix issue with numba
|
|
|
|
|
|
identifier length on recent LLVM versions.
|
|
|
|
|
|
- Remove test from skip-failing-tests.patch fixed by
|
|
|
|
|
|
fix-max-name-size.patch. The test is important, if it is failing
|
|
|
|
|
|
numba will not work reliably.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Thu Sep 26 08:06:01 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.45.1:
|
|
|
|
|
|
* Many fixes and changes for llvm/cuda updates
|
|
|
|
|
|
See CHANGE_LOG file for details
|
|
|
|
|
|
- Update skip-failing-tests.patch to skip one more failing test
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Thu Apr 11 21:52:30 CEST 2019 - Matej Cepl <mcepl@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.43.1, which is a bugfix release.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Mar 18 18:05:34 CET 2019 - Matej Cepl <mcepl@suse.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.43.0:
|
|
|
|
|
|
- Initial support for statically typed dictionaries
|
|
|
|
|
|
- Improvements to `hash()` to match Python 3 behavior
|
|
|
|
|
|
- Support for the heapq module
|
|
|
|
|
|
- Ability to pass C structs to Numba
|
|
|
|
|
|
- More NumPy functions: asarray, trapz, roll, ptp, extract
|
|
|
|
|
|
- Add skip-failing-tests.patch to avoid problems with possibly
|
|
|
|
|
|
incompatible version of NumPy 1.16.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sat Jan 26 17:06:14 UTC 2019 - Arun Persaud <arun@gmx.de>
|
|
|
|
|
|
|
|
|
|
|
|
- specfile:
|
|
|
|
|
|
* update copyright year
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.42.0:
|
|
|
|
|
|
* In this release the major features are:
|
|
|
|
|
|
+ The capability to launch and attach the GDB debugger from within
|
|
|
|
|
|
a jitted function.
|
|
|
|
|
|
+ The upgrading of LLVM to version 7.0.0.
|
|
|
|
|
|
* We added a draft of the project roadmap to the developer
|
|
|
|
|
|
manual. The roadmap is for informational purposes only as
|
|
|
|
|
|
priorities and resources may change.
|
|
|
|
|
|
* Here are some enhancements from contributed PRs:
|
|
|
|
|
|
+ #3532. Daniel Wennberg improved the "cuda.{pinned, mapped}" API
|
|
|
|
|
|
so that the associated memory is released immediately at the
|
|
|
|
|
|
exit of the context manager.
|
|
|
|
|
|
+ #3531. Dimitri Vorona enabled the inlining of jitclass methods.
|
|
|
|
|
|
+ #3516. Simon Perkins added the support for passing numpy dtypes
|
|
|
|
|
|
(i.e. "np.dtype("int32")") and their type constructor
|
|
|
|
|
|
(i.e. "np.int32") into a jitted function.
|
|
|
|
|
|
+ #3509. Rob Ennis added support for "np.corrcoef".
|
|
|
|
|
|
* A regression issue (#3554, #3461) relating to making an empty
|
|
|
|
|
|
slice in parallel mode is resolved by #3558.
|
|
|
|
|
|
* General Enhancements:
|
|
|
|
|
|
+ PR #3392: Launch and attach gdb directly from Numba.
|
|
|
|
|
|
+ PR #3437: Changes to accommodate LLVM 7.0.x
|
|
|
|
|
|
+ PR #3509: Support for np.corrcoef
|
|
|
|
|
|
+ PR #3516: Typeof dtype values
|
|
|
|
|
|
+ PR #3520: Fix @stencil ignoring cval if out kwarg supplied.
|
|
|
|
|
|
+ PR #3531: Fix jitclass method inlining and avoid unnecessary
|
|
|
|
|
|
increfs
|
|
|
|
|
|
+ PR #3538: Avoid future C-level assertion error due to invalid
|
|
|
|
|
|
visibility
|
|
|
|
|
|
+ PR #3543: Avoid implementation error being hidden by the
|
|
|
|
|
|
try-except
|
|
|
|
|
|
+ PR #3544: Add `long_running` test flag and feature to exclude
|
|
|
|
|
|
tests.
|
|
|
|
|
|
+ PR #3549: ParallelAccelerator caching improvements
|
|
|
|
|
|
+ PR #3558: Fixes array analysis for inplace binary operators.
|
|
|
|
|
|
+ PR #3566: Skip alignment tests on armv7l.
|
|
|
|
|
|
+ PR #3567: Fix unifying literal types in namedtuple
|
|
|
|
|
|
+ PR #3576: Add special copy routine for NumPy out arrays
|
|
|
|
|
|
+ PR #3577: Fix example and docs typos for `objmode` context
|
|
|
|
|
|
manager. reorder statements.
|
|
|
|
|
|
+ PR #3580: Use alias information when determining whether it is
|
|
|
|
|
|
safe to
|
|
|
|
|
|
+ PR #3583: Use `ir.unknown_loc` for unknown `Loc`, as #3390 with
|
|
|
|
|
|
tests
|
|
|
|
|
|
+ PR #3587: Fix llvm.memset usage changes in llvm7
|
|
|
|
|
|
+ PR #3596: Fix Array Analysis for Global Namedtuples
|
|
|
|
|
|
+ PR #3597: Warn users if threading backend init unsafe.
|
|
|
|
|
|
+ PR #3605: Add guard for writing to read only arrays from ufunc
|
|
|
|
|
|
calls
|
|
|
|
|
|
+ PR #3606: Improve the accuracy of error message wording for
|
|
|
|
|
|
undefined type.
|
|
|
|
|
|
+ PR #3611: gdb test guard needs to ack ptrace permissions
|
|
|
|
|
|
+ PR #3616: Skip gdb tests on ARM.
|
|
|
|
|
|
* CUDA Enhancements:
|
|
|
|
|
|
+ PR #3532: Unregister temporarily pinned host arrays at once
|
|
|
|
|
|
+ PR #3552: Handle broadcast arrays correctly in host->device
|
|
|
|
|
|
transfer.
|
|
|
|
|
|
+ PR #3578: Align cuda and cuda simulator kwarg names.
|
|
|
|
|
|
* Documentation Updates:
|
|
|
|
|
|
+ PR #3545: Fix @njit description in 5 min guide
|
|
|
|
|
|
+ PR #3570: Minor documentation fixes for numba.cuda
|
|
|
|
|
|
+ PR #3581: Fixing minor typo in `reference/types.rst`
|
|
|
|
|
|
+ PR #3594: Changing `@stencil` docs to correctly reflect
|
|
|
|
|
|
`func_or_mode` param
|
|
|
|
|
|
+ PR #3617: Draft roadmap as of Dec 2018
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sat Dec 1 18:34:28 UTC 2018 - Arun Persaud <arun@gmx.de>
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.41.0:
|
|
|
|
|
|
* major features:
|
|
|
|
|
|
+ Diagnostics showing the optimizations done by
|
|
|
|
|
|
ParallelAccelerator
|
|
|
|
|
|
+ Support for profiling Numba-compiled functions in Intel VTune
|
|
|
|
|
|
+ Additional NumPy functions: partition, nancumsum, nancumprod,
|
|
|
|
|
|
ediff1d, cov, conj, conjugate, tri, tril, triu
|
|
|
|
|
|
+ Initial support for Python 3 Unicode strings
|
|
|
|
|
|
* General Enhancements:
|
|
|
|
|
|
+ PR #1968: armv7 support
|
|
|
|
|
|
+ PR #2983: invert mapping b/w binop operators and the operator
|
|
|
|
|
|
module #2297
|
|
|
|
|
|
+ PR #3160: First attempt at parallel diagnostics
|
|
|
|
|
|
+ PR #3307: Adding NUMBA_ENABLE_PROFILING envvar, enabling jit
|
|
|
|
|
|
event
|
|
|
|
|
|
+ PR #3320: Support for np.partition
|
|
|
|
|
|
+ PR #3324: Support for np.nancumsum and np.nancumprod
|
|
|
|
|
|
+ PR #3325: Add location information to exceptions.
|
|
|
|
|
|
+ PR #3337: Support for np.ediff1d
|
|
|
|
|
|
+ PR #3345: Support for np.cov
|
|
|
|
|
|
+ PR #3348: Support user pipeline class in with lifting
|
|
|
|
|
|
+ PR #3363: string support
|
|
|
|
|
|
+ PR #3373: Improve error message for empty imprecise lists.
|
|
|
|
|
|
+ PR #3375: Enable overload(operator.getitem)
|
|
|
|
|
|
+ PR #3402: Support negative indexing in tuple.
|
|
|
|
|
|
+ PR #3414: Refactor Const type
|
|
|
|
|
|
+ PR #3416: Optimized usage of alloca out of the loop
|
|
|
|
|
|
+ PR #3424: Updates for llvmlite 0.26
|
|
|
|
|
|
+ PR #3462: Add support for `np.conj/np.conjugate`.
|
|
|
|
|
|
+ PR #3480: np.tri, np.tril, np.triu - default optional args
|
|
|
|
|
|
+ PR #3481: Permit dtype argument as sole kwarg in np.eye
|
|
|
|
|
|
* CUDA Enhancements:
|
|
|
|
|
|
+ PR #3399: Add max_registers Option to cuda.jit
|
|
|
|
|
|
* Continuous Integration / Testing:
|
|
|
|
|
|
+ PR #3303: CI with Azure Pipelines
|
|
|
|
|
|
+ PR #3309: Workaround race condition with apt
|
|
|
|
|
|
+ PR #3371: Fix issues with Azure Pipelines
|
|
|
|
|
|
+ PR #3362: Fix #3360: `RuntimeWarning: 'numba.runtests' found in
|
|
|
|
|
|
sys.modules`
|
|
|
|
|
|
+ PR #3374: Disable openmp in wheel building
|
|
|
|
|
|
+ PR #3404: Azure Pipelines templates
|
|
|
|
|
|
+ PR #3419: Fix cuda tests and error reporting in test discovery
|
|
|
|
|
|
+ PR #3491: Prevent faulthandler installation on armv7l
|
|
|
|
|
|
+ PR #3493: Fix CUDA test that used negative indexing behaviour
|
|
|
|
|
|
that's fixed.
|
|
|
|
|
|
+ PR #3495: Start Flake8 checking of Numba source
|
|
|
|
|
|
* Fixes:
|
|
|
|
|
|
+ PR #2950: Fix dispatcher to only consider contiguous-ness.
|
|
|
|
|
|
+ PR #3124: Fix 3119, raise for 0d arrays in reductions
|
|
|
|
|
|
+ PR #3228: Reduce redundant module linking
|
|
|
|
|
|
+ PR #3329: Fix AOT on windows.
|
|
|
|
|
|
+ PR #3335: Fix memory management of __cuda_array_interface__
|
|
|
|
|
|
views.
|
|
|
|
|
|
+ PR #3340: Fix typo in error name.
|
|
|
|
|
|
+ PR #3365: Fix the default unboxing logic
|
|
|
|
|
|
+ PR #3367: Allow non-global reference to objmode()
|
|
|
|
|
|
context-manager
|
|
|
|
|
|
+ PR #3381: Fix global reference in objmode for dynamically
|
|
|
|
|
|
created function
|
|
|
|
|
|
+ PR #3382: CUDA_ERROR_MISALIGNED_ADDRESS Using Multiple Const
|
|
|
|
|
|
Arrays
|
|
|
|
|
|
+ PR #3384: Correctly handle very old versions of colorama
|
|
|
|
|
|
+ PR #3394: Add 32bit package guard for non-32bit installs
|
|
|
|
|
|
+ PR #3397: Fix with-objmode warning
|
|
|
|
|
|
+ PR #3403 Fix label offset in call inline after parfor pass
|
|
|
|
|
|
+ PR #3429: Fixes raising of user defined exceptions for
|
|
|
|
|
|
exec(<string>).
|
|
|
|
|
|
+ PR #3432: Fix error due to function naming in CI in py2.7
|
|
|
|
|
|
+ PR #3444: Fixed TBB's single thread execution and test added for
|
|
|
|
|
|
#3440
|
|
|
|
|
|
+ PR #3449: Allow matching non-array objects in find_callname()
|
|
|
|
|
|
+ PR #3455: Change getiter and iternext to not be pure. Resolves
|
|
|
|
|
|
#3425
|
|
|
|
|
|
+ PR #3467: Make ir.UndefinedType singleton class.
|
|
|
|
|
|
+ PR #3478: Fix np.random.shuffle sideeffect
|
|
|
|
|
|
+ PR #3487: Raise unsupported for kwargs given to `print()`
|
|
|
|
|
|
+ PR #3488: Remove dead script.
|
|
|
|
|
|
+ PR #3498: Fix stencil support for boolean as return type
|
|
|
|
|
|
+ PR #3511: Fix handling make_function literals (regression of
|
|
|
|
|
|
#3414)
|
|
|
|
|
|
+ PR #3514: Add missing unicode != unicode
|
|
|
|
|
|
+ PR #3527: Fix complex math sqrt implementation for large -ve
|
|
|
|
|
|
values
|
|
|
|
|
|
+ PR #3530: This adds arg an check for the pattern supplied to
|
|
|
|
|
|
Parfors.
|
|
|
|
|
|
+ PR #3536: Sets list dtor linkage to `linkonce_odr` to fix
|
|
|
|
|
|
visibility in AOT
|
|
|
|
|
|
* Documentation Updates:
|
|
|
|
|
|
+ PR #3316: Update 0.40 changelog with additional PRs
|
|
|
|
|
|
+ PR #3318: Tweak spacing to avoid search box wrapping onto second
|
|
|
|
|
|
line
|
|
|
|
|
|
+ PR #3321: Add note about memory leaks with exceptions to
|
|
|
|
|
|
docs. Fixes #3263
|
|
|
|
|
|
+ PR #3322: Add FAQ on CUDA + fork issue. Fixes #3315.
|
|
|
|
|
|
+ PR #3343: Update docs for argsort, kind kwarg partially
|
|
|
|
|
|
supported.
|
|
|
|
|
|
+ PR #3357: Added mention of njit in 5minguide.rst
|
|
|
|
|
|
+ PR #3434: Fix parallel reduction example in docs.
|
|
|
|
|
|
+ PR #3452: Fix broken link and mark up problem.
|
|
|
|
|
|
+ PR #3484: Size Numba logo in docs in em units. Fixes #3313
|
|
|
|
|
|
+ PR #3502: just two typos
|
|
|
|
|
|
+ PR #3506: Document string support
|
|
|
|
|
|
+ PR #3513: Documentation for parallel diagnostics.
|
|
|
|
|
|
+ PR #3526: Fix 5 min guide with respect to @njit decl
|
|
|
|
|
|
|
|
|
|
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|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Oct 26 21:28:50 UTC 2018 - Jan Engelhardt <jengelh@inai.de>
|
|
|
|
|
|
|
|
|
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|
- Use noun phrase in summary.
|
|
|
|
|
|
|
|
|
|
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|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Oct 26 19:45:47 UTC 2018 - Todd R <toddrme2178@gmail.com>
|
|
|
|
|
|
|
|
|
|
|
|
- Update to Version 0.40.1
|
|
|
|
|
|
* PR #3338: Accidentally left Anton off contributor list for 0.40.0
|
|
|
|
|
|
* PR #3374: Disable OpenMP in wheel building
|
|
|
|
|
|
* PR #3376: Update 0.40.1 changelog and docs on OpenMP backend
|
|
|
|
|
|
- Update to Version 0.40.0
|
|
|
|
|
|
+ This release adds a number of major features:
|
|
|
|
|
|
* A new GPU backend: kernels for AMD GPUs can now be compiled using the ROCm
|
|
|
|
|
|
driver on Linux.
|
|
|
|
|
|
* The thread pool implementation used by Numba for automatic multithreading
|
|
|
|
|
|
is configurable to use TBB, OpenMP, or the old "workqueue" implementation.
|
|
|
|
|
|
(TBB is likely to become the preferred default in a future release.)
|
|
|
|
|
|
* New documentation on thread and fork-safety with Numba, along with overall
|
|
|
|
|
|
improvements in thread-safety.
|
|
|
|
|
|
* Experimental support for executing a block of code inside a nopython mode
|
|
|
|
|
|
function in object mode.
|
|
|
|
|
|
* Parallel loops now allow arrays as reduction variables
|
2024-06-06 18:27:10 +02:00
|
|
|
|
* CUDA improvements: FMA, faster float64 atomics on supporting hardware,
|
2024-05-03 21:40:28 +02:00
|
|
|
|
records in const memory, and improved datatime dtype support
|
|
|
|
|
|
* More NumPy functions: vander, tri, triu, tril, fill_diagonal
|
|
|
|
|
|
+ General Enhancements:
|
|
|
|
|
|
* PR #3017: Add facility to support with-contexts
|
|
|
|
|
|
* PR #3033: Add support for multidimensional CFFI arrays
|
|
|
|
|
|
* PR #3122: Add inliner to object mode pipeline
|
|
|
|
|
|
* PR #3127: Support for reductions on arrays.
|
|
|
|
|
|
* PR #3145: Support for np.fill_diagonal
|
|
|
|
|
|
* PR #3151: Keep a queue of references to last N deserialized functions. Fixes #3026
|
|
|
|
|
|
* PR #3154: Support use of list() if typeable.
|
|
|
|
|
|
* PR #3166: Objmode with-block
|
|
|
|
|
|
* PR #3179: Updates for llvmlite 0.25
|
|
|
|
|
|
* PR #3181: Support function extension in alias analysis
|
|
|
|
|
|
* PR #3189: Support literal constants in typing of object methods
|
|
|
|
|
|
* PR #3190: Support passing closures as literal values in typing
|
|
|
|
|
|
* PR #3199: Support inferring stencil index as constant in simple unary expressions
|
|
|
|
|
|
* PR #3202: Threading layer backend refactor/rewrite/reinvention!
|
|
|
|
|
|
* PR #3209: Support for np.tri, np.tril and np.triu
|
|
|
|
|
|
* PR #3211: Handle unpacking in building tuple (BUILD_TUPLE_UNPACK opcode)
|
|
|
|
|
|
* PR #3212: Support for np.vander
|
|
|
|
|
|
* PR #3227: Add NumPy 1.15 support
|
|
|
|
|
|
* PR #3272: Add MemInfo_data to runtime._nrt_python.c_helpers
|
|
|
|
|
|
* PR #3273: Refactor. Removing thread-local-storage based context nesting.
|
|
|
|
|
|
* PR #3278: compiler threadsafety lockdown
|
|
|
|
|
|
* PR #3291: Add CPU count and CFS restrictions info to numba -s.
|
|
|
|
|
|
+ CUDA Enhancements:
|
|
|
|
|
|
* PR #3152: Use cuda driver api to get best blocksize for best occupancy
|
|
|
|
|
|
* PR #3165: Add FMA intrinsic support
|
|
|
|
|
|
* PR #3172: Use float64 add Atomics, Where Available
|
|
|
|
|
|
* PR #3186: Support Records in CUDA Const Memory
|
|
|
|
|
|
* PR #3191: CUDA: fix log size
|
|
|
|
|
|
* PR #3198: Fix GPU datetime timedelta types usage
|
|
|
|
|
|
* PR #3221: Support datetime/timedelta scalar argument to a CUDA kernel.
|
|
|
|
|
|
* PR #3259: Add DeviceNDArray.view method to reinterpret data as a different type.
|
|
|
|
|
|
* PR #3310: Fix IPC handling of sliced cuda array.
|
|
|
|
|
|
+ ROCm Enhancements:
|
|
|
|
|
|
* PR #3023: Support for AMDGCN/ROCm.
|
|
|
|
|
|
* PR #3108: Add ROC info to `numba -s` output.
|
|
|
|
|
|
* PR #3176: Move ROC vectorize init to npyufunc
|
|
|
|
|
|
* PR #3177: Add auto_synchronize support to ROC stream
|
|
|
|
|
|
* PR #3178: Update ROC target documentation.
|
|
|
|
|
|
* PR #3294: Add compiler lock to ROC compilation path.
|
|
|
|
|
|
* PR #3280: Add wavebits property to the HSA Agent.
|
|
|
|
|
|
* PR #3281: Fix ds_permute types and add tests
|
|
|
|
|
|
+ Continuous Integration / Testing:
|
|
|
|
|
|
* PR #3091: Remove old recipes, switch to test config based on env var.
|
|
|
|
|
|
* PR #3094: Add higher ULP tolerance for products in complex space.
|
|
|
|
|
|
* PR #3096: Set exit on error in incremental scripts
|
|
|
|
|
|
* PR #3109: Add skip to test needing jinja2 if no jinja2.
|
|
|
|
|
|
* PR #3125: Skip cudasim only tests
|
|
|
|
|
|
* PR #3126: add slack, drop flowdock
|
|
|
|
|
|
* PR #3147: Improve error message for arg type unsupported during typing.
|
|
|
|
|
|
* PR #3128: Fix recipe/build for jetson tx2/ARM
|
|
|
|
|
|
* PR #3167: In build script activate env before installing.
|
|
|
|
|
|
* PR #3180: Add skip to broken test.
|
|
|
|
|
|
* PR #3216: Fix libcuda.so loading in some container setup
|
|
|
|
|
|
* PR #3224: Switch to new Gitter notification webhook URL and encrypt it
|
|
|
|
|
|
* PR #3235: Add 32bit Travis CI jobs
|
|
|
|
|
|
* PR #3257: This adds scipy/ipython back into windows conda test phase.
|
|
|
|
|
|
+ Fixes:
|
|
|
|
|
|
* PR #3038: Fix random integer generation to match results from NumPy.
|
|
|
|
|
|
* PR #3045: Fix #3027 - Numba reassigns sys.stdout
|
|
|
|
|
|
* PR #3059: Handler for known LoweringErrors.
|
|
|
|
|
|
* PR #3060: Adjust attribute error for NumPy functions.
|
|
|
|
|
|
* PR #3067: Abort simulator threads on exception in thread block.
|
|
|
|
|
|
* PR #3079: Implement +/-(types.boolean) Fix #2624
|
|
|
|
|
|
* PR #3080: Compute np.var and np.std correctly for complex types.
|
|
|
|
|
|
* PR #3088: Fix #3066 (array.dtype.type in prange)
|
|
|
|
|
|
* PR #3089: Fix invalid ParallelAccelerator hoisting issue.
|
|
|
|
|
|
* PR #3136: Fix #3135 (lowering error)
|
|
|
|
|
|
* PR #3137: Fix for issue3103 (race condition detection)
|
|
|
|
|
|
* PR #3142: Fix Issue #3139 (parfors reuse of reduction variable across prange blocks)
|
|
|
|
|
|
* PR #3148: Remove dead array equal @infer code
|
|
|
|
|
|
* PR #3153: Fix canonicalize_array_math typing for calls with kw args
|
|
|
|
|
|
* PR #3156: Fixes issue with missing pygments in testing and adds guards.
|
|
|
|
|
|
* PR #3168: Py37 bytes output fix.
|
|
|
|
|
|
* PR #3171: Fix #3146. Fix CFUNCTYPE void* return-type handling
|
|
|
|
|
|
* PR #3193: Fix setitem/getitem resolvers
|
|
|
|
|
|
* PR #3222: Fix #3214. Mishandling of POP_BLOCK in while True loop.
|
|
|
|
|
|
* PR #3230: Fixes liveness analysis issue in looplifting
|
|
|
|
|
|
* PR #3233: Fix return type difference for 32bit ctypes.c_void_p
|
|
|
|
|
|
* PR #3234: Fix types and layout for `np.where`.
|
|
|
|
|
|
* PR #3237: Fix DeprecationWarning about imp module
|
|
|
|
|
|
* PR #3241: Fix #3225. Normalize 0nd array to scalar in typing of indexing code.
|
|
|
|
|
|
* PR #3256: Fix #3251: Move imports of ABCs to collections.abc for Python >= 3.3
|
|
|
|
|
|
* PR #3292: Fix issue3279.
|
|
|
|
|
|
* PR #3302: Fix error due to mismatching dtype
|
|
|
|
|
|
+ Documentation Updates:
|
|
|
|
|
|
* PR #3104: Workaround for #3098 (test_optional_unpack Heisenbug)
|
|
|
|
|
|
* PR #3132: Adds an ~5 minute guide to Numba.
|
|
|
|
|
|
* PR #3194: Fix docs RE: np.random generator fork/thread safety
|
|
|
|
|
|
* PR #3242: Page with Numba talks and tutorial links
|
|
|
|
|
|
* PR #3258: Allow users to choose the type of issue they are reporting.
|
|
|
|
|
|
* PR #3260: Fixed broken link
|
|
|
|
|
|
* PR #3266: Fix cuda pointer ownership problem with user/externally allocated pointer
|
|
|
|
|
|
* PR #3269: Tweak typography with CSS
|
|
|
|
|
|
* PR #3270: Update FAQ for functions passed as arguments
|
|
|
|
|
|
* PR #3274: Update installation instructions
|
|
|
|
|
|
* PR #3275: Note pyobject and voidptr are types in docs
|
|
|
|
|
|
* PR #3288: Do not need to call parallel optimizations "experimental" anymore
|
|
|
|
|
|
* PR #3318: Tweak spacing to avoid search box wrapping onto second line
|
|
|
|
|
|
- Remove upstream-included numba-0.39.0-fix-3135.patch
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Jul 20 13:09:58 UTC 2018 - mcepl@suse.com
|
|
|
|
|
|
|
|
|
|
|
|
- Add patch numba-0.39.0-fix-3135.patch to make not fail datashader
|
|
|
|
|
|
tests. (https://github.com/bokeh/datashader/issues/620)
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Jul 13 09:20:32 UTC 2018 - tchvatal@suse.com
|
|
|
|
|
|
|
|
|
|
|
|
- Fix version requirement to ask for new llvmlite
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Thu Jul 12 03:31:08 UTC 2018 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.39.0:
|
|
|
|
|
|
* Here are the highlights for the Numba 0.39.0 release.
|
|
|
|
|
|
+ This is the first version that supports Python 3.7.
|
|
|
|
|
|
+ With help from Intel, we have fixed the issues with SVML support
|
|
|
|
|
|
(related issues #2938, #2998, #3006).
|
|
|
|
|
|
+ List has gained support for containing reference-counted types
|
|
|
|
|
|
like NumPy arrays and `list`. Note, list still cannot hold
|
|
|
|
|
|
heterogeneous types.
|
|
|
|
|
|
+ We have made a significant change to the internal
|
|
|
|
|
|
calling-convention, which should be transparent to most users,
|
|
|
|
|
|
to allow for a future feature that will permitting jumping back
|
|
|
|
|
|
into python-mode from a nopython-mode function. This also fixes
|
|
|
|
|
|
a limitation to `print` that disabled its use from nopython
|
|
|
|
|
|
functions that were deep in the call-stack.
|
|
|
|
|
|
+ For CUDA GPU support, we added a `__cuda_array_interface__`
|
|
|
|
|
|
following the NumPy array interface specification to allow Numba
|
|
|
|
|
|
to consume externally defined device arrays. We have opened a
|
|
|
|
|
|
corresponding pull request to CuPy to test out the concept and
|
|
|
|
|
|
be able to use a CuPy GPU array.
|
|
|
|
|
|
+ The Numba dispatcher `inspect_types()` method now supports the
|
|
|
|
|
|
kwarg `pretty` which if set to `True` will produce ANSI/HTML
|
|
|
|
|
|
output, showing the annotated types, when invoked from
|
|
|
|
|
|
ipython/jupyter-notebook respectively.
|
|
|
|
|
|
+ The NumPy functions `ndarray.dot`, `np.percentile` and
|
|
|
|
|
|
`np.nanpercentile`, and `np.unique` are now supported.
|
|
|
|
|
|
+ Numba now supports the use of a per-project configuration file
|
|
|
|
|
|
to permanently set behaviours typically set via `NUMBA_*` family
|
|
|
|
|
|
environment variables.
|
|
|
|
|
|
+ Support for the `ppc64le` architecture has been added.
|
|
|
|
|
|
* Enhancements:
|
|
|
|
|
|
+ PR #2793: Simplify and remove javascript from html_annotate
|
|
|
|
|
|
templates.
|
|
|
|
|
|
+ PR #2840: Support list of refcounted types
|
|
|
|
|
|
+ PR #2902: Support for np.unique
|
|
|
|
|
|
+ PR #2926: Enable fence for all architecture and add developer
|
|
|
|
|
|
notes
|
|
|
|
|
|
+ PR #2928: Making error about untyped list more informative.
|
|
|
|
|
|
+ PR #2930: Add configuration file and color schemes.
|
|
|
|
|
|
+ PR #2932: Fix encoding to 'UTF-8' in `check_output` decode.
|
|
|
|
|
|
+ PR #2938: Python 3.7 compat: _Py_Finalizing becomes
|
|
|
|
|
|
_Py_IsFinalizing()
|
|
|
|
|
|
+ PR #2939: Comprehensive SVML unit test
|
|
|
|
|
|
+ PR #2946: Add support for `ndarray.dot` method and tests.
|
|
|
|
|
|
+ PR #2953: percentile and nanpercentile
|
|
|
|
|
|
+ PR #2957: Add new 3.7 opcode support.
|
|
|
|
|
|
+ PR #2963: Improve alias analysis to be more comprehensive
|
|
|
|
|
|
+ PR #2984: Support for namedtuples in array analysis
|
|
|
|
|
|
+ PR #2986: Fix environment propagation
|
|
|
|
|
|
+ PR #2990: Improve function call matching for intrinsics
|
|
|
|
|
|
+ PR #3002: Second pass at error rewrites (interpreter errors).
|
|
|
|
|
|
+ PR #3004: Add numpy.empty to the list of pure functions.
|
|
|
|
|
|
+ PR #3008: Augment SVML detection with llvmlite SVML patch
|
|
|
|
|
|
detection.
|
|
|
|
|
|
+ PR #3012: Make use of the common spelling of
|
|
|
|
|
|
heterogeneous/homogeneous.
|
|
|
|
|
|
+ PR #3032: Fix pycc ctypes test due to mismatch in
|
|
|
|
|
|
calling-convention
|
|
|
|
|
|
+ PR #3039: Add SVML detection to Numba environment diagnostic
|
|
|
|
|
|
tool.
|
|
|
|
|
|
+ PR #3041: This adds @needs_blas to tests that use BLAS
|
|
|
|
|
|
+ PR #3056: Require llvmlite>=0.24.0
|
|
|
|
|
|
* CUDA Enhancements:
|
|
|
|
|
|
+ PR #2860: __cuda_array_interface__
|
|
|
|
|
|
+ PR #2910: More CUDA intrinsics
|
|
|
|
|
|
+ PR #2929: Add Flag To Prevent Unneccessary D->H Copies
|
|
|
|
|
|
+ PR #3037: Add CUDA IPC support on non-peer-accessible devices
|
|
|
|
|
|
* CI Enhancements:
|
|
|
|
|
|
+ PR #3021: Update appveyor config.
|
|
|
|
|
|
+ PR #3040: Add fault handler to all builds
|
|
|
|
|
|
+ PR #3042: Add catchsegv
|
|
|
|
|
|
+ PR #3077: Adds optional number of processes for `-m` in testing
|
|
|
|
|
|
* Fixes:
|
|
|
|
|
|
+ PR #2897: Fix line position of delete statement in numba ir
|
|
|
|
|
|
+ PR #2905: Fix for #2862
|
|
|
|
|
|
+ PR #3009: Fix optional type returning in recursive call
|
|
|
|
|
|
+ PR #3019: workaround and unittest for issue #3016
|
|
|
|
|
|
+ PR #3035: [TESTING] Attempt delayed removal of Env
|
|
|
|
|
|
+ PR #3048: [WIP] Fix cuda tests failure on buildfarm
|
|
|
|
|
|
+ PR #3054: Make test work on 32-bit
|
|
|
|
|
|
+ PR #3062: Fix cuda.In freeing devary before the kernel launch
|
|
|
|
|
|
+ PR #3073: Workaround #3072
|
|
|
|
|
|
+ PR #3076: Avoid ignored exception due to missing globals at
|
|
|
|
|
|
interpreter teardown
|
|
|
|
|
|
* Documentation Updates:
|
|
|
|
|
|
+ PR #2966: Fix syntax in env var docs.
|
|
|
|
|
|
+ PR #2967: Fix typo in CUDA kernel layout example.
|
|
|
|
|
|
+ PR #2970: Fix docstring copy paste error.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sun Jun 24 01:05:37 UTC 2018 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.38.1:
|
|
|
|
|
|
This is a critical bug fix release addressing:
|
|
|
|
|
|
https://github.com/numba/numba/issues/3006
|
|
|
|
|
|
|
|
|
|
|
|
The bug does not impact users using conda packages from Anaconda or Intel Python
|
|
|
|
|
|
Distribution (but it does impact conda-forge). It does not impact users of pip
|
|
|
|
|
|
using wheels from PyPI.
|
|
|
|
|
|
|
|
|
|
|
|
This only impacts a small number of users where:
|
|
|
|
|
|
|
|
|
|
|
|
* The ICC runtime (specifically libsvml) is present in the user's environment.
|
|
|
|
|
|
* The user is using an llvmlite statically linked against a version of LLVM
|
|
|
|
|
|
that has not been patched with SVML support.
|
|
|
|
|
|
* The platform is 64-bit.
|
|
|
|
|
|
|
|
|
|
|
|
The release fixes a code generation path that could lead to the production of
|
|
|
|
|
|
incorrect results under the above situation.
|
|
|
|
|
|
|
|
|
|
|
|
Fixes:
|
|
|
|
|
|
* PR #3007: Augment SVML detection with llvmlite SVML patch
|
|
|
|
|
|
detection.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri May 18 08:06:59 UTC 2018 - tchvatal@suse.com
|
|
|
|
|
|
|
|
|
|
|
|
- Fix dependencies to match reality
|
|
|
|
|
|
- Add more items to make python2 build
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sat May 12 16:21:24 UTC 2018 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.38.0:
|
|
|
|
|
|
* highlights:
|
|
|
|
|
|
+ Numba (via llvmlite) is now backed by LLVM 6.0, general
|
|
|
|
|
|
vectorization is improved as a result. A significant long
|
|
|
|
|
|
standing LLVM bug that was causing corruption was also found and
|
|
|
|
|
|
fixed.
|
|
|
|
|
|
+ Further considerable improvements in vectorization are made
|
|
|
|
|
|
available as Numba now supports Intel's short vector math
|
|
|
|
|
|
library (SVML). Try it out with `conda install -c numba
|
|
|
|
|
|
icc_rt`.
|
|
|
|
|
|
+ CUDA 8.0 is now the minimum supported CUDA version.
|
|
|
|
|
|
* Other highlights include:
|
|
|
|
|
|
+ Bug fixes to `parallel=True` have enabled more vectorization
|
|
|
|
|
|
opportunities when using the ParallelAccelerator technology.
|
|
|
|
|
|
+ Much effort has gone into improving error reporting and the
|
|
|
|
|
|
general usability of Numba. This includes highlighted error
|
|
|
|
|
|
messages and performance tips documentation. Try it out with
|
|
|
|
|
|
`conda install colorama`.
|
|
|
|
|
|
+ A number of new NumPy functions are supported, `np.convolve`,
|
|
|
|
|
|
`np.correlate` `np.reshape`, `np.transpose`, `np.permutation`,
|
|
|
|
|
|
`np.real`, `np.imag`, and `np.searchsorted` now supports
|
|
|
|
|
|
the`side` kwarg. Further, `np.argsort` now supports the `kind`
|
|
|
|
|
|
kwarg with `quicksort` and `mergesort` available.
|
|
|
|
|
|
+ The Numba extension API has gained the ability operate more
|
|
|
|
|
|
easily with functions from Cython modules through the use of
|
|
|
|
|
|
`numba.extending.get_cython_function_address` to obtain function
|
|
|
|
|
|
addresses for direct use in `ctypes.CFUNCTYPE`.
|
|
|
|
|
|
+ Numba now allows the passing of jitted functions (and containers
|
|
|
|
|
|
of jitted functions) as arguments to other jitted functions.
|
|
|
|
|
|
+ The CUDA functionality has gained support for a larger selection
|
|
|
|
|
|
of bit manipulation intrinsics, also SELP, and has had a number
|
|
|
|
|
|
of bugs fixed.
|
|
|
|
|
|
+ Initial work to support the PPC64LE platform has been added,
|
|
|
|
|
|
full support is however waiting on the LLVM 6.0.1 release as it
|
|
|
|
|
|
contains critical patches not present in 6.0.0. It is hoped
|
|
|
|
|
|
that any remaining issues will be fixed in the next release.
|
|
|
|
|
|
+ The capacity for advanced users/compiler engineers to define
|
|
|
|
|
|
their own compilation pipelines.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Apr 23 14:55:41 UTC 2018 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- Fix dependency versions
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Mar 2 23:16:36 UTC 2018 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- specfile:
|
|
|
|
|
|
* update required llvmlite version
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.37.0:
|
|
|
|
|
|
* Misc enhancements:
|
|
|
|
|
|
+ PR #2627: Remove hacks to make llvmlite threadsafe
|
|
|
|
|
|
+ PR #2672: Add ascontiguousarray
|
|
|
|
|
|
+ PR #2678: Add Gitter badge
|
|
|
|
|
|
+ PR #2691: Fix #2690: add intrinsic to convert array to tuple
|
|
|
|
|
|
+ PR #2703: Test runner feature: failed-first and last-failed
|
|
|
|
|
|
+ PR #2708: Patch for issue #1907
|
|
|
|
|
|
+ PR #2732: Add support for array.fill
|
|
|
|
|
|
* Misc Fixes:
|
|
|
|
|
|
+ PR #2610: Fix #2606 lowering of optional.setattr
|
|
|
|
|
|
+ PR #2650: Remove skip for win32 cosine test
|
|
|
|
|
|
+ PR #2668: Fix empty_like from readonly arrays.
|
|
|
|
|
|
+ PR #2682: Fixes 2210, remove _DisableJitWrapper
|
|
|
|
|
|
+ PR #2684: Fix #2340, generator error yielding bool
|
|
|
|
|
|
+ PR #2693: Add travis-ci testing of NumPy 1.14, and also check on
|
|
|
|
|
|
Python 2.7
|
|
|
|
|
|
+ PR #2694: Avoid type inference failure due to a typing template
|
|
|
|
|
|
rejection
|
|
|
|
|
|
+ PR #2695: Update llvmlite version dependency.
|
|
|
|
|
|
+ PR #2696: Fix tuple indexing codegeneration for empty tuple
|
|
|
|
|
|
+ PR #2698: Fix #2697 by deferring deletion in the simplify_CFG
|
|
|
|
|
|
loop.
|
|
|
|
|
|
+ PR #2701: Small fix to avoid tempfiles being created in the
|
|
|
|
|
|
current directory
|
|
|
|
|
|
+ PR #2725: Fix 2481, LLVM IR parsing error due to mutated IR
|
|
|
|
|
|
+ PR #2726: Fix #2673: incorrect fork error msg.
|
|
|
|
|
|
+ PR #2728: Alternative to #2620. Remove dead code
|
|
|
|
|
|
ByteCodeInst.get.
|
|
|
|
|
|
+ PR #2730: Add guard for test needing SciPy/BLAS
|
|
|
|
|
|
* Documentation updates:
|
|
|
|
|
|
+ PR #2670: Update communication channels
|
|
|
|
|
|
+ PR #2671: Add docs about diagnosing loop vectorizer
|
|
|
|
|
|
+ PR #2683: Add docs on const arg requirements and on const mem
|
|
|
|
|
|
alloc
|
|
|
|
|
|
+ PR #2722: Add docs on numpy support in cuda
|
|
|
|
|
|
+ PR #2724: Update doc: warning about unsupported arguments
|
|
|
|
|
|
* ParallelAccelerator enhancements/fixes:
|
|
|
|
|
|
+ Parallel support for `np.arange` and `np.linspace`, also
|
|
|
|
|
|
`np.mean`, `np.std` and `np.var` are added. This was performed
|
|
|
|
|
|
as part of a general refactor and cleanup of the core ParallelAccelerator code.
|
|
|
|
|
|
+ PR #2674: Core pa
|
|
|
|
|
|
+ PR #2704: Generate Dels after parfor sequential lowering
|
|
|
|
|
|
+ PR #2716: Handle matching directly supported functions
|
|
|
|
|
|
* CUDA enhancements:
|
|
|
|
|
|
+ PR #2665: CUDA DeviceNDArray: Support numpy tranpose API
|
|
|
|
|
|
+ PR #2681: Allow Assigning to DeviceNDArrays
|
|
|
|
|
|
+ PR #2702: Make DummyArray do High Dimensional Reshapes
|
|
|
|
|
|
+ PR #2714: Use CFFI to Reuse Code
|
|
|
|
|
|
* CUDA fixes:
|
|
|
|
|
|
+ PR #2667: Fix CUDA DeviceNDArray slicing
|
|
|
|
|
|
+ PR #2686: Fix #2663: incorrect offset when indexing cuda array.
|
|
|
|
|
|
+ PR #2687: Ensure Constructed Stream Bound
|
|
|
|
|
|
+ PR #2706: Workaround for unexpected warp divergence due to
|
|
|
|
|
|
exception raising code
|
|
|
|
|
|
+ PR #2707: Fix regression: cuda test submodules not loading
|
|
|
|
|
|
properly in runtests
|
|
|
|
|
|
+ PR #2731: Use more challenging values in slice tests.
|
|
|
|
|
|
+ PR #2720: A quick testsuite fix to not run the new cuda testcase
|
|
|
|
|
|
in the multiprocess pool
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Thu Jan 11 19:25:55 UTC 2018 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- Bump minimum llvmlite version.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Thu Dec 21 18:33:16 UTC 2017 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.36.2:
|
|
|
|
|
|
* PR #2645: Avoid CPython bug with "exec" in older 2.7.x.
|
|
|
|
|
|
* PR #2652: Add support for CUDA 9.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Dec 8 17:59:51 UTC 2017 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.36.1:
|
|
|
|
|
|
* ParallelAccelerator features:
|
|
|
|
|
|
+ PR #2457: Stencil Computations in ParallelAccelerator
|
|
|
|
|
|
+ PR #2548: Slice and range fusion, parallelizing bitarray and
|
|
|
|
|
|
slice assignment
|
|
|
|
|
|
+ PR #2516: Support general reductions in ParallelAccelerator
|
|
|
|
|
|
* ParallelAccelerator fixes:
|
|
|
|
|
|
+ PR #2540: Fix bug #2537
|
|
|
|
|
|
+ PR #2566: Fix issue #2564.
|
|
|
|
|
|
+ PR #2599: Fix nested multi-dimensional parfor type inference
|
|
|
|
|
|
issue
|
|
|
|
|
|
+ PR #2604: Fixes for stencil tests and cmath sin().
|
|
|
|
|
|
+ PR #2605: Fixes issue #2603.
|
|
|
|
|
|
* PR #2568: Update for LLVM 5
|
|
|
|
|
|
* PR #2607: Fixes abort when getting address to
|
|
|
|
|
|
"nrt_unresolved_abort"
|
|
|
|
|
|
* PR #2615: Working towards conda build 3
|
|
|
|
|
|
* Misc fixes/enhancements:
|
|
|
|
|
|
+ PR #2534: Add tuple support to np.take.
|
|
|
|
|
|
+ PR #2551: Rebranding fix
|
|
|
|
|
|
+ PR #2552: relative doc links
|
|
|
|
|
|
+ PR #2570: Fix issue #2561, handle missing successor on loop exit
|
|
|
|
|
|
+ PR #2588: Fix #2555. Disable libpython.so linking on linux
|
|
|
|
|
|
+ PR #2601: Update llvmlite version dependency.
|
|
|
|
|
|
+ PR #2608: Fix potential cache file collision
|
|
|
|
|
|
+ PR #2612: Fix NRT test failure due to increased overhead when
|
|
|
|
|
|
running in coverage
|
|
|
|
|
|
+ PR #2619: Fix dubious pthread_cond_signal not in lock
|
|
|
|
|
|
+ PR #2622: Fix `np.nanmedian` for all NaN case.
|
|
|
|
|
|
+ PR #2633: Fix markdown in CONTRIBUTING.md
|
|
|
|
|
|
+ PR #2635: Make the dependency on compilers for AOT optional.
|
|
|
|
|
|
* CUDA support fixes:
|
|
|
|
|
|
+ PR #2523: Fix invalid cuda context in memory transfer calls in
|
|
|
|
|
|
another thread
|
|
|
|
|
|
+ PR #2575: Use CPU to initialize xoroshiro states for GPU
|
|
|
|
|
|
RNG. Fixes #2573
|
|
|
|
|
|
+ PR #2581: Fix cuda gufunc mishandling of scalar arg as array and
|
|
|
|
|
|
out argument
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Oct 3 06:05:20 UTC 2017 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.35.0:
|
|
|
|
|
|
* ParallelAccelerator:
|
|
|
|
|
|
+ PR #2400: Array comprehension
|
|
|
|
|
|
+ PR #2405: Support printing Numpy arrays
|
|
|
|
|
|
+ PR #2438: from Support more np.random functions in
|
|
|
|
|
|
ParallelAccelerator
|
|
|
|
|
|
+ PR #2482: Support for sum with axis in nopython mode.
|
|
|
|
|
|
+ PR #2487: Adding developer documentation for ParallelAccelerator
|
|
|
|
|
|
technology.
|
|
|
|
|
|
+ PR #2492: Core PA refactor adds assertions for broadcast
|
|
|
|
|
|
semantics
|
|
|
|
|
|
* ParallelAccelerator fixes:
|
|
|
|
|
|
+ PR #2478: Rename cfg before parfor translation (#2477)
|
|
|
|
|
|
+ PR #2479: Fix broken array comprehension tests on unsupported
|
|
|
|
|
|
platforms
|
|
|
|
|
|
+ PR #2484: Fix array comprehension test on win64
|
|
|
|
|
|
+ PR #2506: Fix for 32-bit machines.
|
|
|
|
|
|
* Additional features of note:
|
|
|
|
|
|
+ PR #2490: Implement np.take and ndarray.take
|
|
|
|
|
|
+ PR #2493: Display a warning if parallel=True is set but not
|
|
|
|
|
|
possible.
|
|
|
|
|
|
+ PR #2513: Add np.MachAr, np.finfo, np.iinfo
|
|
|
|
|
|
+ PR #2515: Allow environ overriding of cpu target and cpu
|
|
|
|
|
|
features.
|
|
|
|
|
|
* Misc fixes/enhancements:
|
|
|
|
|
|
+ PR #2455: add contextual information to runtime errors
|
|
|
|
|
|
+ PR #2470: Fixes #2458, poor performance in np.median
|
|
|
|
|
|
+ PR #2471: Ensure LLVM threadsafety in {g,}ufunc building.
|
|
|
|
|
|
+ PR #2494: Update doc theme
|
|
|
|
|
|
+ PR #2503: Remove hacky code added in 2482 and feature
|
|
|
|
|
|
enhancement
|
|
|
|
|
|
+ PR #2505: Serialise env mutation tests during multithreaded
|
|
|
|
|
|
testing.
|
|
|
|
|
|
+ PR #2520: Fix failing cpu-target override tests
|
|
|
|
|
|
* CUDA support fixes:
|
|
|
|
|
|
+ PR #2504: Enable CUDA toolkit version testing
|
|
|
|
|
|
+ PR #2509: Disable tests generating code unavailable in lower CC
|
|
|
|
|
|
versions.
|
|
|
|
|
|
+ PR #2511: Fix Windows 64 bit CUDA tests.
|
|
|
|
|
|
|
|
|
|
|
|
- changes from version 0.34.0:
|
|
|
|
|
|
* ParallelAccelerator features:
|
|
|
|
|
|
+ PR #2318: Transfer ParallelAccelerator technology to Numba
|
|
|
|
|
|
+ PR #2379: ParallelAccelerator Core Improvements
|
|
|
|
|
|
+ PR #2367: Add support for len(range(...))
|
|
|
|
|
|
+ PR #2369: List comprehension
|
|
|
|
|
|
+ PR #2391: Explicit Parallel Loop Support (prange)
|
|
|
|
|
|
* CUDA support enhancements:
|
|
|
|
|
|
+ PR #2377: New GPU reduction algorithm
|
|
|
|
|
|
* CUDA support fixes:
|
|
|
|
|
|
+ PR #2397: Fix #2393, always set alignment of cuda static memory
|
|
|
|
|
|
regions
|
|
|
|
|
|
* Misc Fixes:
|
|
|
|
|
|
+ PR #2373, Issue #2372: 32-bit compatibility fix for parfor
|
|
|
|
|
|
related code
|
|
|
|
|
|
+ PR #2376: Fix #2375 missing stdint.h for py2.7 vc9
|
|
|
|
|
|
+ PR #2378: Fix deadlock in parallel gufunc when kernel acquires
|
|
|
|
|
|
the GIL.
|
|
|
|
|
|
+ PR #2382: Forbid unsafe casting in bitwise operation
|
|
|
|
|
|
+ PR #2385: docs: fix Sphinx errors
|
|
|
|
|
|
+ PR #2396: Use 64-bit RHS operand for shift
|
|
|
|
|
|
+ PR #2404: Fix threadsafety logic issue in ufunc compilation
|
|
|
|
|
|
cache.
|
|
|
|
|
|
+ PR #2424: Ensure consistent iteration order of blocks for type
|
|
|
|
|
|
inference.
|
|
|
|
|
|
+ PR #2425: Guard code to prevent the use of ‘parallel’ on win32 +
|
|
|
|
|
|
py27
|
|
|
|
|
|
+ PR #2426: Basic test for Enum member type recovery.
|
|
|
|
|
|
+ PR #2433: Fix up the parfors tests with respect to windows py2.7
|
|
|
|
|
|
+ PR #2442: Skip tests that need BLAS/LAPACK if scipy is not
|
|
|
|
|
|
available.
|
|
|
|
|
|
+ PR #2444: Add test for invalid array setitem
|
|
|
|
|
|
+ PR #2449: Make the runtime initialiser threadsafe
|
|
|
|
|
|
+ PR #2452: Skip CFG test on 64bit windows
|
|
|
|
|
|
* Misc Enhancements:
|
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|
+ PR #2366: Improvements to IR utils
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+ PR #2388: Update README.rst to indicate the proper version of
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LLVM
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+ PR #2394: Upgrade to llvmlite 0.19.*
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+ PR #2395: Update llvmlite version to 0.19
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+ PR #2406: Expose environment object to ufuncs
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+ PR #2407: Expose environment object to target-context inside
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lowerer
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+ PR #2413: Add flags to pass through to conda build for buildbot
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+ PR #2414: Add cross compile flags to local recipe
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+ PR #2415: A few cleanups for rewrites
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+ PR #2418: Add getitem support for Enum classes
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+ PR #2419: Add support for returning enums in vectorize
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+ PR #2421: Add copyright notice for Intel contributed files.
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+ PR #2422: Patch code base to work with np 1.13 release
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+ PR #2448: Adds in warning message when using ‘parallel’ if
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cache=True
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+ PR #2450: Add test for keyword arg on .sum-like and .cumsum-like
|
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array methods
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- changes from version 0.33.0:
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* There are also several enhancements to the CUDA GPU support:
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|
+ A GPU random number generator based on xoroshiro128+ algorithm
|
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|
is added. See details and examples in documentation.
|
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+ @cuda.jit CUDA kernels can now call @jit and @njit CPU functions
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and they will automatically be compiled as CUDA device
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functions.
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+ CUDA IPC memory API is exposed for sharing memory between
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proceses. See usage details in documentation.
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* Reference counting enhancements:
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+ PR #2346, Issue #2345, #2248: Add extra refcount pruning after
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inlining
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+ PR #2349: Fix refct pruning not removing refct op with tail
|
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call.
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+ PR #2352, Issue #2350: Add refcount pruning pass for function
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|
that does not need refcount
|
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* CUDA support enhancements:
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|
+ PR #2023: Supports CUDA IPC for device array
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|
+ PR #2343, Issue #2335: Allow CPU jit decorated function to be
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|
used as cuda device function
|
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|
+ PR #2347: Add random number generator support for CUDA device
|
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|
code
|
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|
+ PR #2361: Update autotune table for CC: 5.3, 6.0, 6.1, 6.2
|
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|
|
* Misc fixes:
|
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|
|
|
|
+ PR #2362: Avoid test failure due to typing to int32 on 32-bit
|
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|
|
platforms
|
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+ PR #2359: Fixed nogil example that threw a TypeError when
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|
executed.
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+ PR #2357, Issue #2356: Fix fragile test that depends on how the
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|
script is executed.
|
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|
+ PR #2355: Fix cpu dispatcher referenced as attribute of another
|
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module
|
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|
+ PR #2354: Fixes an issue with caching when function needs NRT
|
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|
and refcount pruning
|
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|
+ PR #2342, Issue #2339: Add warnings to inspection when it is
|
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|
|
used on unserialized cached code
|
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|
+ PR #2329, Issue #2250: Better handling of missing op codes
|
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|
|
* Misc enhancements:
|
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|
|
|
+ PR #2360: Adds missing values in error mesasge interp.
|
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|
|
+ PR #2353: Handle when get_host_cpu_features() raises
|
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|
|
|
RuntimeError
|
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|
|
+ PR #2351: Enable SVML for erf/erfc/gamma/lgamma/log2
|
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|
|
+ PR #2344: Expose error_model setting in jit decorator
|
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|
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|
|
+ PR #2337: Align blocking terminate support for fork() with new
|
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|
|
|
TBB version
|
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|
|
+ PR #2336: Bump llvmlite version to 0.18
|
|
|
|
|
|
+ PR #2330: Core changes in PR #2318
|
|
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|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Wed May 3 18:23:09 UTC 2017 - toddrme2178@gmail.com
|
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|
|
|
|
|
|
|
|
|
|
- update to version 0.32.0:
|
|
|
|
|
|
+ Improvements:
|
|
|
|
|
|
* PR #2322: Suppress test error due to unknown but consistent error with tgamma
|
|
|
|
|
|
* PR #2320: Update llvmlite dependency to 0.17
|
|
|
|
|
|
* PR #2308: Add details to error message on why cuda support is disabled.
|
|
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|
|
|
* PR #2302: Add os x to travis
|
|
|
|
|
|
* PR #2294: Disable remove_module on MCJIT due to memory leak inside LLVM
|
|
|
|
|
|
* PR #2291: Split parallel tests and recycle workers to tame memory usage
|
|
|
|
|
|
* PR #2253: Remove the pointer-stuffing hack for storing meminfos in lists
|
|
|
|
|
|
+ Fixes:
|
|
|
|
|
|
* PR #2331: Fix a bug in the GPU array indexing
|
|
|
|
|
|
* PR #2326: Fix #2321 docs referring to non-existing function.
|
|
|
|
|
|
* PR #2316: Fixing more race-condition problems
|
|
|
|
|
|
* PR #2315: Fix #2314. Relax strict type check to allow optional type.
|
|
|
|
|
|
* PR #2310: Fix race condition due to concurrent compilation and cache loading
|
|
|
|
|
|
* PR #2304: Fix intrinsic 1st arg not a typing.Context as stated by the docs.
|
|
|
|
|
|
* PR #2287: Fix int64 atomic min-max
|
|
|
|
|
|
* PR #2286: Fix #2285 `@overload_method` not linking dependent libs
|
|
|
|
|
|
* PR #2303: Missing import statements to interval-example.rst
|
|
|
|
|
|
- Implement single-spec version
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Wed Feb 22 22:15:53 UTC 2017 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.31.0:
|
|
|
|
|
|
* Improvements:
|
|
|
|
|
|
+ PR #2281: Update for numpy1.12
|
|
|
|
|
|
+ PR #2278: Add CUDA atomic.{max, min, compare_and_swap}
|
|
|
|
|
|
+ PR #2277: Add about section to conda recipies to identify
|
|
|
|
|
|
license and other metadata in Anaconda Cloud
|
|
|
|
|
|
+ PR #2271: Adopt itanium C++-style mangling for CPU and CUDA
|
|
|
|
|
|
targets
|
|
|
|
|
|
+ PR #2267: Add fastmath flags
|
|
|
|
|
|
+ PR #2261: Support dtype.type
|
|
|
|
|
|
+ PR #2249: Changes for llvm3.9
|
|
|
|
|
|
+ PR #2234: Bump llvmlite requirement to 0.16 and add
|
|
|
|
|
|
install_name_tool_fixer to mviewbuf for OS X
|
|
|
|
|
|
+ PR #2230: Add python3.6 to TravisCi
|
|
|
|
|
|
+ PR #2227: Enable caching for gufunc wrapper
|
|
|
|
|
|
+ PR #2170: Add debugging support
|
|
|
|
|
|
+ PR #2037: inspect_cfg() for easier visualization of the function
|
|
|
|
|
|
operation
|
|
|
|
|
|
* Fixes:
|
|
|
|
|
|
+ PR #2274: Fix nvvm ir patch in mishandling “load”
|
|
|
|
|
|
+ PR #2272: Fix breakage to cuda7.5
|
|
|
|
|
|
+ PR #2269: Fix caching of copy_strides kernel in cuda.reduce
|
|
|
|
|
|
+ PR #2265: Fix #2263: error when linking two modules with dynamic
|
|
|
|
|
|
globals
|
|
|
|
|
|
+ PR #2252: Fix path separator in test
|
|
|
|
|
|
+ PR #2246: Fix overuse of memory in some system with fork
|
|
|
|
|
|
+ PR #2241: Fix #2240: __module__ in dynamically created function
|
|
|
|
|
|
not a str
|
|
|
|
|
|
+ PR #2239: Fix fingerprint computation failure preventing
|
|
|
|
|
|
fallback
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sun Jan 15 00:33:08 UTC 2017 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.30.1:
|
|
|
|
|
|
* Fixes:
|
|
|
|
|
|
+ PR #2232: Fix name clashes with _Py_hashtable_xxx in Python 3.6.
|
|
|
|
|
|
* Improvements:
|
|
|
|
|
|
+ PR #2217: Add Intel TBB threadpool implementation for parallel
|
|
|
|
|
|
ufunc.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Jan 10 17:17:33 UTC 2017 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- specfile:
|
|
|
|
|
|
* update copyright year
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.30.0:
|
|
|
|
|
|
* Improvements:
|
|
|
|
|
|
+ PR #2209: Support Python 3.6.
|
|
|
|
|
|
+ PR #2175: Support np.trace(), np.outer() and np.kron().
|
|
|
|
|
|
+ PR #2197: Support np.nanprod().
|
|
|
|
|
|
+ PR #2190: Support caching for ufunc.
|
|
|
|
|
|
+ PR #2186: Add system reporting tool.
|
|
|
|
|
|
* Fixes:
|
|
|
|
|
|
+ PR #2214, Issue #2212: Fix memory error with ndenumerate and
|
|
|
|
|
|
flat iterators.
|
|
|
|
|
|
+ PR #2206, Issue #2163: Fix zip() consuming extra elements in
|
|
|
|
|
|
early exhaustion.
|
|
|
|
|
|
+ PR #2185, Issue #2159, #2169: Fix rewrite pass affecting objmode
|
|
|
|
|
|
fallback.
|
|
|
|
|
|
+ PR #2204, Issue #2178: Fix annotation for liftedloop.
|
|
|
|
|
|
+ PR #2203: Fix Appveyor segfault with Python 3.5.
|
|
|
|
|
|
+ PR #2202, Issue #2198: Fix target context not initialized when
|
|
|
|
|
|
loading from ufunc cache.
|
|
|
|
|
|
+ PR #2172, Issue #2171: Fix optional type unpacking.
|
|
|
|
|
|
+ PR #2189, Issue #2188: Disable freezing of big (>1MB) global
|
|
|
|
|
|
arrays.
|
|
|
|
|
|
+ PR #2180, Issue #2179: Fix invalid variable version in
|
|
|
|
|
|
looplifting.
|
|
|
|
|
|
+ PR #2156, Issue #2155: Fix divmod, floordiv segfault on CUDA.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Dec 2 21:07:51 UTC 2016 - jengelh@inai.de
|
|
|
|
|
|
|
|
|
|
|
|
- remove subjective words from description
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sat Nov 5 17:53:40 UTC 2016 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.29.0:
|
|
|
|
|
|
* Improvements:
|
|
|
|
|
|
+ PR #2130, #2137: Add type-inferred recursion with docs and
|
|
|
|
|
|
examples.
|
|
|
|
|
|
+ PR #2134: Add np.linalg.matrix_power.
|
|
|
|
|
|
+ PR #2125: Add np.roots.
|
|
|
|
|
|
+ PR #2129: Add np.linalg.{eigvals,eigh,eigvalsh}.
|
|
|
|
|
|
+ PR #2126: Add array-to-array broadcasting.
|
|
|
|
|
|
+ PR #2069: Add hstack and related functions.
|
|
|
|
|
|
+ PR #2128: Allow for vectorizing a jitted function. (thanks to
|
|
|
|
|
|
@dhirschfeld)
|
|
|
|
|
|
+ PR #2117: Update examples and make them test-able.
|
|
|
|
|
|
+ PR #2127: Refactor interpreter class and its results.
|
|
|
|
|
|
* Fixes:
|
|
|
|
|
|
+ PR #2149: Workaround MSVC9.0 SP1 fmod bug kb982107.
|
|
|
|
|
|
+ PR #2145, Issue #2009: Fixes kwargs for jitclass __init__
|
|
|
|
|
|
method.
|
|
|
|
|
|
+ PR #2150: Fix slowdown in objmode fallback.
|
|
|
|
|
|
+ PR #2050, Issue #1258: Fix liveness problem with some generator
|
|
|
|
|
|
loops.
|
|
|
|
|
|
+ PR #2072, Issue #1995: Right shift of unsigned LHS should be
|
|
|
|
|
|
logical.
|
|
|
|
|
|
+ PR #2115, Issue #1466: Fix inspect_types() error due to mangled
|
|
|
|
|
|
variable name.
|
|
|
|
|
|
+ PR #2119, Issue #2118: Fix array type created from record-dtype.
|
|
|
|
|
|
+ PR #2122, Issue #1808: Fix returning a generator due to
|
|
|
|
|
|
datamodel error.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Sep 23 23:38:02 UTC 2016 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- Initial version
|
|
|
|
|
|
|
