v22.05.01

This hotfix release updates the conda build recipe to make the cuNumeric package depend on the right version of NumPy and also fixes a bug in the command-line argument parser.

Full Changelog: v22.05.00...v22.05.01

v22.05.00

Release 22.05 features complete support for advanced indexing and related indexing routines (compress and take), a multi-node multi-GPU sorting implementation for multi-dimensional ndarrays, window functions, several matrix/tensor operations (trace, matrix_power, multi_dot, and einsum_path) and primitive support for FFT on a single GPU using cuFFT.

Conda packages for this release are available at https://anaconda.org/legate/cunumeric.

New Features

• thrust allocator for sort by @mfoerste4 in #228
• implementation of np.block w/ a test by @sbak5 in #213
• Window functions by @magnatelee in #283
• Advanced indexing by @ipdemes in #235
• First implementation of single-GPU FFT using cuFFT by @mferreravila in #238
• Use the stream pool in Legate core by @magnatelee in #295
• Add partition api and utilize sort backend by @mfoerste4 in #287
• implementing TRACE operation by @ipdemes in #263
• adding support for negative indices in advanced indexing by @ipdemes in #322
• Add cpu-only packages to the conda variants by @m3vaz in #330
• Bump minpy to 3.8 (conda env and recipe) by @bryevdv in #332
• Remaning ufuncs by @magnatelee in #315
• Logic functions by @magnatelee in #347
• Slicing-based np.block implementation by @sbak5 in #306
• Implement matrix_power by @manopapad in #360
• Distributed N-dimensional sort by @mfoerste4 in #316
• Implement einsum_path by @manopapad in #361
• adding diag_indices and diag_indices_from routines by @ipdemes in #367
• Implement moveaxis by @manopapad in #364
• Implement __array_function __and array_ufunc by @manopapad in #353
• Implement more norm cases by @manopapad in #366
• Implement multi_dot by @manopapad in #358
• Adding support for "indices" routine by @ipdemes in #368
• Support axis=None and keepdims=True/False in argmin and argmax by @trxcllnt in #346

Improvements

• Move the ufunc module (ported to branch-22.05) by @magnatelee in #242
• Use ufuncs in special methods by @magnatelee in #247
• Initial unit tests by @bryevdv in #229
• Revise type coercion by @magnatelee in #264
• adding 'only' option to the tests.py by @ipdemes in #248
• Updates for using the new unbound store API by @magnatelee in #265
• Don't run the resolution logic if the arrays have the same dtype (ported to 22.05) by @magnatelee in #390
• Use find_packages for installation by @magnatelee in #269
• Some misc tests and types by @bryevdv in #268
• Forward-port #257 by @manopapad in #273
• Split up sort.cu for parallel compilation by @magnatelee in #277
• Debugging checks by @magnatelee in #281
• Update example programs by @magnatelee in #289
• Bump up NumPy version by @magnatelee in #291
• Don't use constexpr for window functions by @magnatelee in #294
• Better error message on unsupported complex reductions by @manopapad in #300
• handle coverage wrapping uniformly including ufuncs by @bryevdv in #272
• Architecture-agnostic check for int128 by @manopapad in #293
• Unit test fixups by @bryevdv in #303
• reduce testcases for partition test by @mfoerste4 in #304
• Adding conda build recipe files by @marcinz in #274
• Use pytest for test running by @bryevdv in #297
• Add unit tests to test.py by @marcinz in #305
• Change _cunumeric_implemented into a dataclass by @manopapad in #318
• Pass reporting explicity to coverage decorators by @bryevdv in #333
• FFT refactoring by @magnatelee in #310
• Declare ufunc formatter to be safe for parallel read by @magnatelee in #335
• Force installation of Lapack in OpenBLAS build by @marcinz in #266
• Mark no out-of-range indices for copies by @magnatelee in #336
• Discussion PR for conda envs split by @bryevdv in #326
• Use 64-bit integers for global thread ids by @magnatelee in #349
• Use legate.core arg parsing by @bryevdv in #343
• adding compress and take operations by @ipdemes in #296
• Conda recipes improvements by @marcinz in #345
• Misc small updates by @bryevdv in #352
• adding performance tests for indexing routines by @ipdemes in #337
• Add support for using cupy by @robinw0928 in #373

Bug Fixes

• Forward port late commits from 22.03 by @bryevdv in #241
• Catch up the ufunc renaming (ported to 22.05) by @magnatelee in #244
• Activate the cuBLAS workaround by checking the cuBLAS version at runtime (ported to 22.05) by @magnatelee in #246
• fix large shape >int32 by @mfoerste4 in #236
• Fix a compile error by @magnatelee in #251
• Fix the out-of-bounds bug in reshape by @magnatelee in #267
• add missing comparison functions by @bryevdv in #278
• Fix nonzero by @magnatelee in #285
• fix return value of ndarray.argsort by @mfoerste4 in #286
• Fix typos in tests after pytest transition by @manopapad in #309
• Update trace.py tests / fix some warnings by @bryevdv in #307
• Don't dump test stdout unconditionally by @bryevdv in #314
• Add typing_extensions requirement to conda recipe by @marcinz in #325
• Fix pytest exit to fail on errors by @marcinz in #334
• Fixing #321 issue by @ipdemes in #341
• Missing arguments in cases of eager-to-deferred fallback by @manopapad in #348
• Add a missing instance of share=True by @manopapad in #350
• Fix return types for some of the unary ops by @magnatelee in #354
• fixing compile-time warnings by @ipdemes in #351
• Remove special case handling for scalar arrays by @manopapad in #357
• Fix the bug in np.append test on empty input array and non-empty scalars by @sbak5 in #365
• Match NumPy's behavior for isclose(inf,inf) by @manopapad in #372
• Fix unary reductions by @magnatelee in #369
• Allow DeferredThunks to be created for empty arrays by @manopapad in #371
• Fix documentation building by @manopapad in #377
• Make the example programs pass the CI by @magnatelee in #380

Documentation

• Comparison table update by @ipdemes in #252
• Add user-facing docs for coverage reporting by @bryevdv in #261
• creating script for calculating API coverage by categories by @ipdemes in #271
• Doc update by @magnatelee in #275
• Fix docs builds for trace by @manopapad in #308
• fixing documentation for fft by @ipdemes in #302
• Add a custom autodoc class for ufuncs by @bryevdv in #317
• Refactor comparison table as Sphinx extension by @bryevdv in #323
• lgpatch docs + doc fixups by @bryevdv in #356

New Contributors

• @mferreravila made their first contribution in #238
• @m3vaz made their first contribution in #330
• @robinw0928 made their first contribution in #373

Full Changelog: v22.03.00...v22.05.00

v22.03.00

Release 22.03 adds several new features, including np.repeat, np.unique, np.inner, np.outer, and 35 new universal functions (ufuncs). In this release, we also have significantly revised and refactored tensor operations to make them comprehensive. Preliminary support for 1D array sorting for multi-GPU execution is available. (CPU and OpenMP paths are still single processor only.) We have also made performance improvements for np.convolve and np.tril/trilu for GPU execution. Finally, we have added a tool that reports cuNumeric’s API coverage for a given NumPy program execution. (For the usage, please refer to “Measuring API coverage” in the cuNumeric documentation.)

Conda packages for this release are available at https://anaconda.org/legate/cunumeric.

New Features

• Sort pr by @mfoerste4 in #199
• Add basic cunumeric.patch module by @bryevdv in #225
• adding support for REPEAT operation by @ipdemes in #190
• np.unique implementation by @magnatelee in #192
• np.append & ndarray.flatten by @sbak5 in #196
• General cuFFT plan cache by @magnatelee in #195
• Tools for checking API coverage by @magnatelee in #191
• Overhaul linear algebra operations by @manopapad in #217

Improvements

• Move the ufunc module by @magnatelee in #234
• ufunc refactoring + a bunch of missing ufuncs by @magnatelee in #223
• Expand coverage reporting to ndarray methods by @bryevdv in #219
• Einsum benchmark improvements by @manopapad in #222
• Remove old-style casts by @manopapad in #218
• Optimize np.tril used in Cholesky by @magnatelee in #214
• Add a convergence threshold argument to the cg example by @marcinz in #221
• Make sure nonzero produces outputs in C order by @magnatelee in #216
• API cleanup for ndarray by @bryevdv in #209
• Minor improvement for diag by @magnatelee in #211
• Stop using alloca by @magnatelee in #212
• Port and refactor GH #140 "Use cufft callbacks for better performance on fft-based convolutions" by @magnatelee in #204

Bug Fixes

• Activate the cuBLAS workaround by checking the cuBLAS version at runtime by @magnatelee in #245
• Catch up the ufunc renaming by @magnatelee in #243
• Fix coverage for ufuncs by @bryevdv in #240
• Fix docs breakage by @bryevdv in #239
• Fix compilation errors on clang by @manopapad in #233
• Add cunumeric.ufunc to packages by @bryevdv in #231
• Fix trailing comma tuple bug by @bryevdv in #230
• Fix the build issue with Thrust by @magnatelee in #227
• Fix some docs breakage by @bryevdv in #224
• Fix for #208 by @magnatelee in #210
• Fix for #206 by @magnatelee in #207
• Fixed bugs for 1D array inputs on vstack , dstack and column_stack by @sbak5 in #182

Documentation

• Add docstrings to ndarray methods by @bryevdv in #205
• Clean up Sphinx warnings by @bryevdv in #202
• adding versions to the documentation by @ipdemes in #198
• adding script for comparing API coverage + table at the documentation page by @ipdemes in #193
• User facing documentation for API usage tool by @bryevdv in #262

Full Changelog: v22.01.00...v22.03.00

v22.01.00

Release 22.01 adds support for einsum expressions, logic functions and a subset of indexing and array manipulation routines.

Conda packages for this release are available at https://anaconda.org/legate/cunumeric.

New Features

• Convolution by @magnatelee and @lightsighter in #103
• Added few universal functions and logical operations by @ipdemes in #134
• numpy.tril and numpy.triu by @magnatelee in #144
• Einsum operation by @manopapad in #142
• Cholesky factorization by @magnatelee in #160
• Implemented split routines and a test by @sbak5 in #152
• Choose operation by @ipdemes in #146

Improvements

• Convolve Cache for cuFFT by @lightsighter in #109
• Warmup iterations for Richardson-Lucy by @magnatelee in #113
• Remove NumPyAllocation by @magnatelee in #118
• Update for new data ingest interface by @manopapad in #105
• Enable some temporarily commented-out tests by @manopapad in #119
• Testcase for legate.core!94 by @manopapad in #120
• Use built-in reduction op by @magnatelee in #136
• Managing CUDA library contexts directly in cuNumeric by @magnatelee in #138
• Support for cuSOLVER by @magnatelee in #139
• Make CUDA library context cache thread safe by @magnatelee in #141
• Use .cu for CUDA library management by @magnatelee in #145
• Some reusable test input generators by @manopapad in #153
• Fix Wundefined-var-template clang warning by @manopapad in #154
• Add eager fallback mode to testing script by @manopapad in #156
• Add eager tests by @marcinz in #157
• Small additions to test input generators by @manopapad in #159
• No longer need to reserve one dim for reductions by @manopapad in #161
• Use a per-device stream cache for CUDA library calls by @magnatelee in #165
• Simple tiling heuristic for Cholesky factorization by @magnatelee in #167
• Fix clang-format config to include cu,cuh,inl files by @manopapad in #168
• LEGATE_ABORT is now a statement by @magnatelee in #169
• Preloading CUDA libraries by @magnatelee in #171
• Use CHECK_* macros in a couple more places by @manopapad in #172
• Fix some invocations of complex constructors by @manopapad in #173
• Add a switch to not call tril on Cholesky outputs by @magnatelee in #174
• Do python install on custom dir w/o eggs by @manopapad in #177
• Refined 'tests/array_split.py' w/ more essential input shapes by @sbak5 in #178
• WIP: adding logic for DIAGONAL by @ipdemes in #170
• Stack and concatenate routines including subroutines by @sbak5 in #175
• Refactoring by @magnatelee in #181

Bug Fixes

• Fix #111 by @magnatelee in #115
• math.prod not available in python 3.7 by @manopapad in #129
• Fix some compiler warnings by @magnatelee in #130
• dot: fix error message on unsupported array dimensions by @manopapad in #133
• Fix slot calculation in reduction kernel by @manopapad in #148
• Port fix for #79 by @manopapad in #155
• Build OpenBLAS with CROSS option to prevent tests at compile time by @marcinz in #158
• Pin setuptools version, to work around breaking change by @manopapad in #164
• Workaround for a bug in cuBLAS < 11.4 by @magnatelee in #185
• Cannot install cuNumeric to different dir than Legate Core by @manopapad in #186
• Adjust error tolerance for float16, to avoid spurious test failure by @manopapad in #166

Documentation

• Adding contributions file by @marcinz in #147
• Update docstrings by @magnatelee in #188

New Contributors

• @lightsighter made their first contribution in #109
• @ipdemes made their first contribution in #134
• @pre-commit-ci made their first contribution in #151
• @sbak5 made their first contribution in #152

Full Changelog: v21.11.00...v22.01.00

v21.11.00

This is the initial public alpha release of cuNumeric, an aspiring drop-in replacement for NumPy at scale.

Conda packages for this release are available at https://anaconda.org/legate/cunumeric.

What's Changed

• Refactoring for the broadcasting logic by @magnatelee in #18
• Improved partitioning and sharding for GEMV by @manopapad in #37
• Fix #16 by @manopapad in #38
• Add CI by @marcinz in #43
• Use a script on the runner to checkout CI repository by @marcinz in #44
• Fix CI by @marcinz in #45
• Extend tests with CPU/GPU/OMP testing by @marcinz in #48
• Remove accidental part of the job matrix from CI by @marcinz in #49
• Add missing alignment constraints for matrix-vector multiplication by @magnatelee in #58
• Force left alignment for pointers and references by @magnatelee in #59
• Don't alter the GC priority �for external instances by @magnatelee in #60
• Be strict when importing legate.numpy in examples by @manopapad in #61
• Fix for reinterpret casts that are actually unsafe in the modern c++ by @magnatelee in #62
• Remove the return type of the void-returning function in the mapper by @magnatelee in #63
• Remove dependency on numpy>=1.20 by @manopapad in #64
• Stop using looping templates by @magnatelee in #65
• Bug fix for release mode by @magnatelee in #66
• Port nozero to the new buffer API by @magnatelee in #68
• Missing constraint for bincount by @magnatelee in #69
• Clean up install script by @manopapad in #70
• Fixes to compile on MacOS by @manopapad in #71
• Disable absolute and allcose for complex types only with Clang by @magnatelee in #72
• Generalize the reshape operator by @magnatelee in #73
• Improve dot product for half precision floats by @magnatelee in #74
• Support for tensordot by @magnatelee in #75
• Bugfixes on operations by @manopapad in #76
• Add missing type casts for __half by @magnatelee in #77
• Pull the correct Core image by @marcinz in #78
• Port remaining fixes from old branch by @manopapad in #80
• Remove remaining conditional legate.numpy imports from examples by @manopapad in #81
• Always dump test output by @marcinz in #83
• Minor code cleanups by @manopapad in #85
• Attempt to address #84 by @manopapad in #86
• Always follow the core's choice regarding CUDA/OpenMP support by @manopapad in #88
• Fix legate data interface by @magnatelee in #92
• Handle overlapping stores correctly in dot by @magnatelee in #93
• Improvements to handling of scalar arrays by @manopapad in #90
• Port to the new calling convention by @magnatelee in #89
• Prevent CI on forks by @marcinz in #94
• Emptiness checks for matrix ops by @magnatelee in #95
• Mapper update by @magnatelee in #82
• Port to the new reduction op interface by @magnatelee in #96
• Stop using delinearization by @magnatelee in #97
• Dead code elimination by @magnatelee in #98
• Reorganizing source files by @magnatelee in #99
• Remove leftover requirements.txt by @manopapad in #100
• Update for build system changes by @manopapad in #101
• Updates for new attachment interface by @manopapad in #102
• Fix for matrix-vector multiplication by @magnatelee in #104
• Another attempt to fix degenerate cases by @magnatelee in #107
• Fix #111 by @magnatelee in #116
• Release 21.11.00 by @marcinz in #121

New Contributors

• @marcinz made their first contribution in #43

Full Changelog: https://github.com/nv-legate/cunumeric/commits/v21.11.00