v0.9.2

New operator: interp

Other Additions:

• Improvements to sparse support including new batched tri-diagonal solver
• Automatic vectorization and ILP support
• DLPack updated to 1.1
• Many bug fixes

What's Changed

• Fix partial any/all reduction by @simonbyrne in #959
• interp1: add support for higher dimensional sample points and values by @simonbyrne in #963
• Introduce DIA and SkewDIA format by @aartbik in #964
• Refactor MATX_CUDA_CHECK to prevent multiple evaluation by @tmartin-gh in #957
• Introduce DIA format factory method by @aartbik in #965
• reformat sparse files with clang-format by @aartbik in #966
• Implement DIA SpMV kernel by @aartbik in #967
• Generalize SpMV from square to m x n DIA by @aartbik in #969
• replace static_assert(false) with host-only THROW by @aartbik in #968
• Generalize DIA to DIA-I and DIA-J by @aartbik in #972
• Avoid name collision with cpu_set_t from sched.h by @tbensonatl in #971
• Add axis argument to interp1. by @simonbyrne in #970
• Add operator tests back by @cliffburdick in #977
• clang-format on sparse tests by @aartbik in #973
• Add SpMV test for DIA-I and DIA-J by @aartbik in #974
• (re) enable all sparse tests by @aartbik in #979
• Let X = solve(A, B) take X and B along rows by @aartbik in #981
• Add tri-diagonal solve support by @aartbik in #982
• update doc with latest DIA support by @aartbik in #983
• minor sparse documentation refinement by @aartbik in #984
• Updating Google Test by @cliffburdick in #985
• Minor fix in UST level order for DIA by @aartbik in #986
• Vectorization and ILP by @cliffburdick in #980
• Fixing compile error with FFT conv by @cliffburdick in #989
• Fixing another 12.9 compiler bug by @cliffburdick in #991
• Removing unused parameter in lambda causing error on clang by @cliffburdick in #992
• proper lvl2dim computation for add/sub by @aartbik in #994
• add braces to if-then-else by @aartbik in #997
• Avoid fmod become ambiguous once CCCL specializes it for extended floating point types by @miscco in #996
• clang formatting by @aartbik in #998
• implement batched tri-diagonal direct solve by @aartbik in #999
• add streams to alloc/free in cusparse sequences by @aartbik in #1001
• test for batched tri-diag direct solver by @aartbik in #1000
• fix minor typos in comments by @aartbik in #1002
• DLPack 1.1 update by @cliffburdick in #1004
• Fix host compiler errors when using -Wall -Werror by @tmartin-gh in #1006
• Fix ARM relocation trucation build errors by @dylan-eustice in #1008
• Allocate pinned host memory instead of managed when managed isn't available by @cliffburdick in #1010
• Added executor to cache by @cliffburdick in #1009
• Remove template parameters in constructor by @cliffburdick in #1012
• fix flipud for 1D tensors by @simonbyrne in #1011
• Fix warnings in clang19 by @cliffburdick in #1015
• Missing unit test syncs by @dylan-eustice in #1013
• add convenience constructor for batched tri diag sparse tensor by @aartbik in #1019
• Remove runtime checks on memory spaces by @aartbik in #1018
• build each test file as a separate executable by @simonbyrne in #1017
• use batched sparse solve for interp by @simonbyrne in #1016

New Contributors

• @miscco made their first contribution in #996
• @dylan-eustice made their first contribution in #1008

Full Changelog: v0.9.1...v0.9.2

v0.9.1

Sparse support + bugfixes

• New operators: argminmax, dense2sparse, sparse2dense, interp1, normalize, argsort
• Removed requirement for --relaxed-constexpr
• Added MatX NVTX domain
• Significantly improved speed of svd and inv
• Python integration sample
• Experimental sparse tensor support (SpMM and solver routines supported)
• Significantly reduced FFT memory usage

What's Changed

• Moving definition of CUB cache up by @cliffburdick in #771
• Added documentation of memory types by @cliffburdick in #770
• Cleaning up non-const operator() to avoid code duplication by @cliffburdick in #769
• Switch to CUB/Thrust backend for cuda executor argmax by @tmartin-gh in #772
• Refactor cub argmax to generic cub reduce, use for argmin. Fixes #774. by @tmartin-gh in #776
• Change any() and all() to use CUB's reduce by @tmartin-gh in #777
• Add argminmax operator by @tmartin-gh in #778
• Fix matx::HostExecutor segfault with argmin/argmax by @tmartin-gh in #780
• Added new cusolverDnXsyevBatched API for batched eigen calls for CTK 12.6.2 and up by @cliffburdick in #781
• cub.h CUDACC guards for custom ops by @nvjonwong in #782
• Add example compiled with host compiler to catch regressions. by @tmartin-gh in #783
• Remove relaxed constexpr by @cliffburdick in #775
• Cleanup versions.json so jq can parse it. by @alliepiper in #785
• Allow rapids-cmake's version file to be overridden. by @alliepiper in #786
• Update rapids-cmake (branch-24.12@03ec7ef) by @alliepiper in #787
• Created MatX NVTX domain by @cliffburdick in #784
• Update docs github action by @tmartin-gh in #789
• Update docs github action by @tmartin-gh in #790
• Work around compiler parser bug by @cliffburdick in #791
• Updating developer documentation by @cliffburdick in #793
• Modify concat op to enable concatenating float3. by @nvjonwong in #792
• Fix rapids cmake by @alliepiper in #799
• Switched to getRs instead of getRi for faster inverse by @cliffburdick in #797
• Update CMakeLists.txt by @cliffburdick in #801
• Support half precision R2C transforms by @cliffburdick in #796
• Fix gcc13 erroneous warning by @cliffburdick in #802
• fixed missing forwarding code for allocate by @aartbik in #804
• Fix bug with eye, and also zero workspace before LU factorization by @cliffburdick in #807
• Change shape_type for the remap op by @nvjonwong in #806
• Faster batched SVD for small sizes by @cliffburdick in #805
• Fixing broadcasting in all operator() by @cliffburdick in #795
• Add a better error on memory allocation failure by @cliffburdick in #808
• Fix solver interfaces to use executor in cache by @cliffburdick in #809
• Python integration sample by @tmartin-gh in #812
• Fixes for clang17 errors/warnings by @cliffburdick in #815
• Misc Cleanup by @tmartin-gh in #814
• frexp_fix by @cliffburdick in #817
• Adding structures needed for sparse support by @cliffburdick in #819
• fix missing newline at EOF (to avoid future diff issues) by @aartbik in #822
• add size() to container storage by @aartbik in #824
• minor edit for sparse (layout and proper swap def) by @aartbik in #820
• add a to-string method for memory space by @aartbik in #823
• Cleanup cmake usage when MatX is a dependent project by @tmartin-gh in #827
• Fixing warnings issues by clang-19, both host and device by @cliffburdick in #825
• Update build_docs actions to newest. Add CI_RUN_DATETIME in version.rst by @tmartin-gh in #829
• introduce a versatile sparse tensor type to MatX (experimental) by @aartbik in #821
• Add initial tiff support by @tmartin-gh in #831
• Make dim2lvl translation for printing more in the style of MatX by @aartbik in #832
• Expose tensor format (and lvl specs) to sparse tensor data by @aartbik in #833
• Add cross product operator by @mfzmullen in #818
• remove LVL depth restriction with constexpr templating by @aartbik in #834
• Guard all DIM/LVL recursion against completely empty format by @aartbik in #835
• Adjust half-type threshold for cross product unit tests by @mfzmullen in #838
• Added fp32 version of normcdf by @cliffburdick in #839
• Changing black scholes to float and improving performance by @cliffburdick in #840
• Implement the () operator on sparse tensors by @aartbik in #837
• Support operators into einsum interface by @cliffburdick in #845
• Add print function with nonzero dim args by @tbensonatl in #844
• Updated CCCL to fix regression in newer CTK versions by @cliffburdick in #846
• First version of MATX SpMM (using dispatch to cuSPARSE) by @aartbik in #843
• Moved sparse operator() into tensor_impl_t by @cliffburdick in #841
• Adding timing metrics to CUDA and host executors by @cliffburdick in #842
• Remove dense "testers" from the sparse tensor format type by @aartbik in #847
• cuDSS by @cliffburdick in #848
• Update deprecated CUB types by @cliffburdick in #851
• Renamed versatile into universal for sparse tensor types by @aartbik in #850
• Ignore incorrect gcc warning in einsum by @cliffburdick in #853
• Added documentation on integrating with existing software by @cliffburdick in #852
• Add compile-time check for minimum CUDA arch by @tbensonatl in #855
• First version of MATX Sparse-Direct-Solve (using dispatch to cuDSS) by @aartbik in #849
• First version of MATX sparse2dense conversion (dispatch to cuSPARSE) by @aartbik in #856
• Improve cuFFT errors by @cliffburdick in #860
• workaround for CTAD bug in NVC++ by @cliffburdick in #859
• Add note about host-allocated memory to external guide by @cliffburdick in #862
• Cleanup to use pass-by-reference more consistently by @aartbik in #861
• Move empty storage construction to inline helper method by @aartbik in #857
• Make CCCL copy false by @cliffburdick in #865
• Remove test for free memory on FFTs by @cliffburdick in #864
• Fix initializer list order by @tmartin-gh in #867
• Initialize host cuRAND API when using host compiler by @cliffburdick in #866
• Add user-friendly assertions to make_sparse_tensor by @aartbik in #869
• Add "zero" matrix factor methods for COO,CSR,CSC by @aartbik in #870
• First version of MATX dense2sparse conversion (dispatch to cuSPARSE) by @aartbik in #868
• Add sparse factory method tests by @aartbik in #871
• Enforce library restrictions on MatX transformations by @aartbik in #872
• Add sparse conversion tests (dense2sparse, sparse2dense) by @aartbik in #873
• Add sparse direct-solver tests by @aartbik in #874
• Add SpMM tests by @aartbik in #875
• Refactored OperatorTests.cu for faster compilation time by @cliffburdick in #876
• Test feeding dense output as intermediate for the new sparse ops by @aartbik in #877
• Use transitive include in benchmarks cmake by @cliffburdick in #880
• Remove const qualifier on input to thrust ...

v0.9.0

Version v0.9.0 adds comprehensive support for more host CPU transforms such as BLAS and LAPACK, including multi-threaded versions.

Beyond the CPU support, there are many more minor improvements:

• Added several new operators include vector_norm, matrix_norm, frexp, diag, and more
• Many compiler fixes to support a wider range of older and newer compilers
• Performance improvements to avoid overhead of permutation operators when unnecessary
• Much more!

A full changelist is below

What's Changed

• Update pybyind to v2.12.0. Fixes issue #591. by @tmartin-gh in #604
• Change print macro to matx namespaced function by @tmartin-gh in #607
• Added frexp() operator by @cliffburdick in #609
• Disable CUTLASS compile option by @cliffburdick in #610
• Created dimensionless versions of ones() and zeros() by @cliffburdick in #611
• Add smem-based polyphase channelizer kernel by @tbensonatl in #613
• Eigen guide by @tylera-nvidia in #612
• Multithreaded docs build Fix by @tylera-nvidia in #614
• Fixed issues with static tensor unit tests compiling by @cliffburdick in #615
• Implement csqrt by @tylera-nvidia in #619
• Automatic Enumeration of NVTX Range IDs by @tylera-nvidia in #616
• Fixing Clang errors to compile with clang-17 by @cliffburdick in #621
• Update to CCCL 2.4.0 and fix CMake to not use system includes by @cliffburdick in #623
• Remove options that nvc++ doesn't support by @cliffburdick in #624
• Fixing some warnings on certain compilers by @cliffburdick in #625
• More nvc++ warning fixes. Increase minimum supported CUDA to 11.5 by @cliffburdick in #627
• More nvc++ fixes + code coverage generation by @cliffburdick in #628
• fixed printing 0D tensors by @tylera-nvidia in #618
• Remove conversion for double to half by @cliffburdick in #631
• Add NVTX Tests for Code Coverage by @tylera-nvidia in #632
• Feature/add complex cast operators by @tbensonatl in #633
• Avoid array indices passthrough in matxOpTDKernel by @tbensonatl in #634
• Add mixed precision support for channelize_poly by @tbensonatl in #640
• Add test cases for stride kernels by @cliffburdick in #641
• Basic synchronization support with sync() by @aayushg55 in #642
• Converting old std:: types to cuda::std:: types by @cliffburdick in #629
• Fix pybind iterator bug on newer g++ by @cliffburdick in #643
• Initialize NVTX variable by @cliffburdick in #644
• Fixed remaining nvc++ warnings by @cliffburdick in #645
• Change cmake option/project order by @raplonu in #649
• Change check on build type to avoid short circuiting by @cliffburdick in #647
• Add complex cast operators for split inputs by @tbensonatl in #650
• Added norm() operator by @cliffburdick in #620
• Add zero-copy interface from MatX to NumPy by @cliffburdick in #653
• Added host multithreading support for FFTW by @aayushg55 in #652
• Fixed OpenMP compiler flags by @aayushg55 in #654
• Fixed issue with operator types used as both lvalue/rvalue not assigning by @cliffburdick in #655
• Smaller FFT test sizes for faster CI/CD by @aayushg55 in #656
• Docs for matrix/vector norm by @cliffburdick in #657
• Change matmul to use tensor_t temp until issue with impl is fixed by @cliffburdick in #658
• Added plan caching for FFTW host plans by @aayushg55 in #659
• Fixed fftw guards and temp allocation by @aayushg55 in #660
• Fixed fftw guards to be fine-grained by @aayushg55 in #661
• Enabled FFT conv for host by @aayushg55 in #662
• NVPL BLAS Support by @aayushg55 in #665
• Change supported CUDA to 11.8 by @cliffburdick in #670
• enh: add macro to define cuda functions accessible at global scope by @mfzmullen in #668
• Add workaround for pre-11.8 CTK smem init errors by @tbensonatl in #673
• Fix to ConvCorr tests to skip host tests when host not enabled by @aayushg55 in #674
• Expanded Host BLAS support by @aayushg55 in #675
• Update README.md by @HugoPhibbs in #676
• Improved the error messages when sizes are incompatible by @cliffburdick in #682
• Added toeplitz operator by @cliffburdick in #683
• Simplified cmake file so no definitions are required by default by @cliffburdick in #684
• fix type for permuted ops in norm. by @luitjens in #696
• Fix c++20 warning by @cliffburdick in #698
• Update Cub Cache Creation to new Method by @tylera-nvidia in #694
• Fixed base operator types by @cliffburdick in #703
• Update slice.rst by @HugoPhibbs in #704
• Fixed issues with host compiler with C++17 and C++20 modes by @cliffburdick in #706
• NVPL LAPACK Solver Support on ARM by @aayushg55 in #701
• Add detail:: namespace to CUB struct by @cliffburdick in #708
• OpenBLAS LAPACK Solver Support for x86 by @aayushg55 in #709
• Exclude examples/cmake_sample_project/build* from doxygen search by @tmartin-gh in #711
• Fixed random pre/post run signature by @cliffburdick in #715
• Rapids cmake 24 06 package by @cliffburdick in #716
• Add support for UINT Generation by @tylera-nvidia in #695
• Update svd docstring by @cliffburdick in #717
• Solver SVD Optimizations and Improved cuSolver batching by @aayushg55 in #721
• MATX_EN_CUTENSOR / MATX_ENABLE_CUTENSOR Unified Variable by @tylera-nvidia in #720
• mtie should output the correct rank and size for the output operator. by @luitjens in #726
• Update bug_report.md by @HugoPhibbs in #729
• eliminate auto spills in permute by @luitjens in #731
• Revert accidental commit to main by @cliffburdick in #734
• Host Solver workspace query fix by @aayushg55 in #733
• Add in-place transform support for inv() by @tbensonatl in #736
• Allow access to Data() pointer from device by @tmartin-gh in #738
• Use cublasmatinvBatched() for N <= 32 by @tbensonatl in #739
• Added new pinv() operator and updated Reduced SVD by @aayushg55 in #740
• optimize our iterator to avoid an unnecessary constructor call by @luitjens in #741
• Updated Solver documentation by @aayushg55 in #742
• Updated documentation for CPU support by @aayushg55 in #743
• Slice optimizations to reduce spills by @cliffburdick in #732
• Fixing shadow declaration by @cliffburdick in #745
• Workaround for constexpr bug inside lambda in CUDA 11.8 by @cliffburdick in #671
• Added diag operator taking 1D operator to generate 2D operator by @cliffburdick in #746
• Add normcdf docs by @cliffburdick in #747
• Refactor template arguments to reductions to force no permutes when unnecessary by @cliffburdick in #749
• Adding workarounds for false positives on gcc14 by @cliffburdick in #751
• Visibility fix for cache static deinit issue by @nvjonwong in #752
• Don't allow in-place make_tensor to change ownership by @cliffburdick in #753
• Fix for erroneous errors on gcc14.1 by @cliffburdick in #755
• Create temp contiguous tensors if needed for sor...

v0.8.0

Release highlights:

• Features
  • Updated cuTENSOR and cuTensorNet versions
  • Added configurable print formatting
  • ARM FFT support via NVPL
  • New operators: abs2(), outer(), isnan(), isinf()
  • Many more unit tests for CPU tests
• Bug fixes for matmul on Hopper, 2D FFTs, and more

Full changelist:

What's Changed

• Increase cublas workspace to 32 MiB for Hopper+ by @tbensonatl in #545
• matmul bug fixes. by @luitjens in #547
• Added missing synchronization by @luitjens in #552
• Refine some file I/O functions' doxygen comments by @AtomicVar in #549
• Update docs by @tmartin-gh in #551
• Export used environment variables in sphinx config by @tmartin-gh in #553
• Import os by @tmartin-gh in #554
• Add version info by @tmartin-gh in #555
• Fix typo by @tmartin-gh in #556
• Adds IsNan and IsInf Operators by @nvjonwong in #557
• Use cmake project version info in sphinx config by @tmartin-gh in #560
• outer() operator for outer product by @cliffburdick in #559
• Fix nans in QR and SVD. by @luitjens in #558
• Update CMakeLists.txt by @cliffburdick in #548
• Fix CMake to allow multiple rapids-cmake to coexist by @cliffburdick in #562
• Return 0D arrays for 0D shape in operators by @cliffburdick in #561
• Fix NVTX3 include path by @AtomicVar in #564
• Add .npy File I/O by @AtomicVar in #565
• SVD & QR improvements by @luitjens in #563
• chore: Fix typo s/whereever/wherever/ by @hugo-syn in #566
• Add rapids-cmake-dir, if defined, to CMAKE_MODULE_PATH by @tbensonatl in #567
• Add abs2() operator for squared abs() by @tbensonatl in #568
• Fixed issue on g++13 with nullptr dereference that cannot happen at r… by @cliffburdick in #571
• Force max(min) size of direct convolution dimension to be < 1024 by @cliffburdick in #573
• Remove incorrect warning check for any compiler other than gcc by @cliffburdick in #577
• stream memory cleanup by @cliffburdick in #579
• Update reshape indices by @cliffburdick in #580
• Update matlabpython.rst by @cliffburdick in #583
• Prevent potential oob read in matxOpTDKernel by @tbensonatl in #586
• Broadcast lower-rank tensors during batched matmul by @tbensonatl in #585
• Fix bugs in 2D FFTs and add tests by @benbarsdell in #587
• Added ARM FFT Support by @cliffburdick in #576
• Various bug fixes for older compilers by @cliffburdick in #588
• Renamed rmin/rmax functions to min/max and element-wise are now minimum/maximum to match Python by @cliffburdick in #589
• Fix clang macro by @cliffburdick in #592
• Fix misplaced sentence in README by @lucifer1004 in #594
• Add configurable print formatting types by @tmartin-gh in #593
• Fixing return types to allow either prvalue or lvalue in operator() by @cliffburdick in #598
• Rework einsum for new cache style. Fix for issue #597 by @tmartin-gh in #599
• Updated cutensornet to 24.03 and cutensor to 2.0.1 by @cliffburdick in #600
• adding file name and line number to ease debug by @bhaskarrakshit in #601
• Updating versions and notes for v0.8.0 by @cliffburdick in #602

New Contributors

• @hugo-syn made their first contribution in #566
• @benbarsdell made their first contribution in #587
• @lucifer1004 made their first contribution in #594
• @bhaskarrakshit made their first contribution in #601

Full Changelog: v0.7.0...v0.8.0

v0.7.0

Features

• Convert libcudacxx to CCCL by @cliffburdick in #501
• Add PreRun and tests for at/clone/diag operators by @tbensonatl in #502
• Add explicit FFT length to fft_conv example by @tbensonatl in #503
• Add Pre/PostRun support for collapse, concat ops by @tbensonatl in #506
• polyval operator by @cliffburdick in #508
• Optimize resample poly kernels by @tbensonatl in #512
• Allow negative indexing on slices by @cliffburdick in #516
• Automatically publish docs to GH Pages on merge to main by @tmartin-gh in #520
• Add configurable precision support of print(). by @AtomicVar in #521
• Make matxHalf trivially copyable by @tbensonatl in #513
• Added operator for matvec by @cliffburdick in #514
• New rapids and nvbench by @cliffburdick in #529

Fixes

• Add FFT1D tensor size checks by @tbensonatl in #499
• Fix errors which caused some unit tests failed to compile. by @AtomicVar in #504
• Fix upsample output size by @cliffburdick in #507
• removing print characters accidently left behind by @tylera-nvidia in #510
• Renamed host executor and prepared for multi-threaded additions by @cliffburdick in #511
• removing old hardcoded limit for repmat rank size by @tylera-nvidia in #515
• Avoid async alloc in some Cholesky decomp cases by @tbensonatl in #517
• Workaround for maybe_unused parse bug in old gcc by @tbensonatl in #522
• Fix matvec output dims to match A rather than B by @tbensonatl in #523
• Remove CUDA system include by @cliffburdick in #525
• Zero-initialize batches field in CUB params by @tbensonatl in #527
• Fixing host include guard on resample poly by @cliffburdick in #528
• Update device.h for host compiler by @cliffburdick in #530
• Made allocator an inline function by @cliffburdick in #532
• Build and publish documentation on merge to main by @tmartin-gh in #533
• Remove doxygen parameter to match tensor_t constructor signature by @tmartin-gh in #534
• Update iterator.h by @cliffburdick in #536
• Update Bug Report Issue Template by @AtomicVar in #539
• Fix CCCL libcudacxx path by @cliffburdick in #537
• Check matmul types and error at compile-time if the backend doesn't support them by @cliffburdick in #540
• Fix batched cov transform by @tbensonatl in #541
• Update caching for transforms to fixing all leaks reported by compute-sanitizer by @cliffburdick in #542
• Update docs for v0.7.0 by @cliffburdick in #544

Full Changelog: v0.6.0...v0.7.0

v0.6.0

Notable Updates

• Transforms as operators by @cliffburdick in #452
• resample_poly optimizations and operator support by @tbensonatl in #465

Full changelog below:

What's Changed

• Added upsample and downsample operators by @cliffburdick in #442
• Added lvalue semantics to operators that needed it by @cliffburdick in #443
• Added operator support to solver functions by @cliffburdick in #444
• Added shapeless version of diag() and eye() by @cliffburdick in #445
• Deprecated random interface by @cliffburdick in #446
• Updated cuTENSOR/cuTensorNet and added example for trace by @cliffburdick in #447
• Fixing host compilation where device code snuck in by @cliffburdick in #453
• Added Protections for Shift Operator inputs and fixed issues with size/Shape returns for certain input sizes by @tylera-nvidia in #454
• Added isclose and allclose functions by @cliffburdick in #448
• Adds normalization options for fft and ifft by @nvjonwong in #456
• Updated 0D tensor syntax and expanded simple radar pipeline by @cliffburdick in #458
• Add initial polyphase channelizer operator by @tbensonatl in #459
• Fixed inverse from stomping on input by @cliffburdick in #461
• Fix cache issue with strides by @cliffburdick in #460
• Added const to Pre/PostRun by @cliffburdick in #462
• Revert inv by @cliffburdick in #463
• Added proper LHS handling for transforms by @cliffburdick in #464
• Updated incorrect license by @cliffburdick in #466
• Use device mem instead of managed for fft workbuf by @tbensonatl in #467
• Added at() and percentile() operators by @cliffburdick in #471
• Add overlap operator by @cliffburdick in #472
• Support stride 0 A/B batches for GEMMs by @cliffburdick in #473
• Added FFT-based convolution to conv1d() by @cliffburdick in #475
• Documentation cleanup by @tmartin-gh in #477
• Adding FFT convolution benchmarks by @cliffburdick in #476
• Fixed rank of output in matmul operator when A/B had 0 stride by @cliffburdick in #478
• Updating header image by @cliffburdick in #480
• Add pwelch operator by @tmartin-gh in #479
• Docs cleanup. Enforce warning-as-error for doxygen and sphinx. by @tmartin-gh in #481
• Fixes for CUDA 12.3 compiler by @cliffburdick in #483
• Update pwelch.h by @cliffburdick in #486
• Fixes for new compiler issues by @cliffburdick in #488
• Fixing sample Cmake Project by @tylera-nvidia in #489
• Update base_operator.h by @cliffburdick in #490
• Add window operator input to pwelch by @tmartin-gh in #491
• Add PreRun methods for slice/fftshift operators by @tbensonatl in #493
• PreRun support for r2c and other fft related fixes by @tbensonatl in #494

New Contributors

• @tmartin-gh made their first contribution in #477

Full Changelog: v0.5.0...v0.6.0

v0.5.0

Notable Updates

• Documentation rewritten to include working examples for every function based on unit tests
• Polyphase resampler based on SciPy/cuSignal's resample_poly

Full changelog below:

What's Changed

• Modifies TensorViewToNumpy and NumpyToTensorView for rank = 5 by @nvjonwong in #427
• NumpyToTensorView overload which returns new TensorView by @nvjonwong in #428
• Added fftfreq() generator by @cliffburdick in #430
• Latest NumpyToTensorView function requires complex conversion for complex types by @nvjonwong in #431
• Fixed print function to work on device in certain cases by @cliffburdick in #436
• Fixed unused variable warning by @cliffburdick in #435
• Adding initial polyphase resampler transform by @tbensonatl in #437
• Revamped documentation by @cliffburdick in #438
• Fixing typo in Cholesky docs by @cliffburdick in #439
• Added broadcasting documentation by @cliffburdick in #440
• Broadcast docs by @cliffburdick in #441

New Contributors

• @nvjonwong made their first contribution in #427

Full Changelog: v0.4.1...v0.5.0

v0.4.1

This is a minor release mostly focused on bug fixes for different compilers and CUDA versions. One major feature added was all reductions are supported on the host using a single threaded executor. Multi-threaded executor support coming soon.

What's Changed

• Host reductions by @cliffburdick in #385
• Reduced cuBLASLt workspace size by @cliffburdick in #404
• Fix benchmarks that broke with new executors by @cliffburdick in #405
• All operator tests converted to use host and device, and improved 16b by @cliffburdick in #403
• Add single argument copy() and copy() tests by @tbensonatl in #407
• Add rank0 tensor remap support by @tbensonatl in #408
• Add Mutex to support multithread NVTX markers by @tylera-nvidia in #406
• Fix a few issues highlighted by linters/clang by @tbensonatl in #409
• Fixed compilation for Pascal by @cliffburdick in #412
• Fixed issue with constructor when passing strides and sizes by @cliffburdick in #413
• CMake fixes found by user by @cliffburdick in #416
• Update libcudacxx to 2.1.0 by @cliffburdick in #417
• Fixed cupy check for unit tests, default constructors, and file IO by @cliffburdick in #419
• Added delta degrees of freedom on var() to mimic Python by @cliffburdick in #421
• Adding correct license on files that were wrong by @cliffburdick in #423
• Fixed two issues with release mode and DLPack and reductions on the host by @cliffburdick in #424

Full Changelog: v0.4.0...v0.4.1

v0.4.0

New Features

• slice optimization to use builtin tensor function when possible by @luitjens in #360
• Slice support for std::array shapes by @luitjens in #363
• svd power iteration example, benchmark and unit tests. by @luitjens in #366
• matmul: support real/complex tensors by @kshitij12345 in #362
• Adding sign/index operators: by @luitjens in #369
• optimized cast and conj op to return a tensor view when possible. by @luitjens in #371
• implement QR for small batched matrices. by @luitjens in #373
• Implement block power iteration (qr iterations) for svd by @luitjens in #375
• Added output iterator support for CUB sums, and converted all sum() by @cliffburdick in #380
• Removing inheritance from std::iterator by @cliffburdick in #381
• DLPack support by @cliffburdick in #392
• Adding ref-count for DLPack by @cliffburdick in #394
• updating cub optimization selection for >= 2.0 by @tylera-nvidia in #395
• Refactored make_tensor to allow lvalue init by @cliffburdick in #397
• Updated notebook documentation and refactored some code by @cliffburdick in #398
• Allow 0-stride dimensions for cublas input/output by @tbensonatl in #400
• 16-bit float reductions + updated softmax by @cliffburdick in #399

Bug Fixes

• Fix Duplicate Print and remove member prints by @tylera-nvidia in #364
• cublasLT col major detection fix. by @luitjens in #368
• Fixes for 32b mode by @cliffburdick in #388
• Fixed a bogus maybe-unitialized warning/error in release mode by @cliffburdick in #389
• Fixed issue with using const pointers by @cliffburdick in #393
• Generator Printing Patch by @tylera-nvidia in #370

New Contributors

• @kshitij12345 made their first contribution in #362
• @tbensonatl made their first contribution in #400

Full Changelog: v0.3.0...v0.4.0

v0.3.0

v0.3.0 marks a major release with over 100 features and bug fixes. Release cadence will occur more frequently after this release to support users not living at the HEAD.

What's Changed

• Added squeeze operator by @cliffburdick in #163
• Change name of squeeze to flatten by @cliffburdick in #164
• Updated version of cuTENSOR and fixed paths by @cliffburdick in #166
• Added reduction example with einsum by @cliffburdick in #168
• Fixed bug with wrong type on argmin/max by @cliffburdick in #170
• Fixed missing return on operator() for sum by @cliffburdick in #171
• Fixed error with reduction with invalid indices. Only shows up on Jetson by @cliffburdick in #172
• Fixed bug with matmul use-after-free by @cliffburdick in #173
• Added test for batches GEMMs by @cliffburdick in #174
• Throw an exception if using SetVals on non-managed pointer by @cliffburdick in #176
• Added missing assert in release mode by @cliffburdick in #178
• Fixed einsum in release mode by @cliffburdick in #179
• Updates to docs by @cliffburdick in #180
• Added unit test for transpose and fixed bug with grid size by @cliffburdick in #181
• Fix grid dimensions for transpose. by @galv in #182
• Added missing include by @cliffburdick in #184
• Remove CUB from sum reduction while bug is being investigated by @cliffburdick in #186
• Fix for cub reductions by @luitjens in #187
• Reenable CUB tests by @cliffburdick in #188
• Fixing incorrect parameter to CUB sort for 2D tensors by @cliffburdick in #190
• Remove 4D restriction on Clone by @cliffburdick in #191
• Added support for N-D convolutions by @cliffburdick in #189
• Download RAPIDS.cmake only if it does not exist. by @cwharris in #192
• Fix 11.4 compilation issues by @cliffburdick in #195
• Improve FFT batching by @cliffburdick in #196
• Fixed argmax initialization value by @cliffburdick in #198
• Fix issue #199 by @pkestene in #200
• Fix type on concatenate by @cliffburdick in #201
• Fix documentation type-o by @dagardner-nv in #202
• Missing host annotation on some generators by @cliffburdick in #203
• Fixed TotalSize on cub operators by @cliffburdick in #204
• Implementing remap operator. by @luitjens in #205
• Update reverse/shift APIs by @luitjens in #207
• batching conv1d across filters. by @luitjens in #208
• Added Print for operators by @cliffburdick in #211
• Complex div by @cliffburdick in #213
• Added lcollapse and rcollapse operator by @luitjens in #212
• Baseops by @luitjens in #214
• Only allow View() on contigious tensors. by @luitjens in #215
• Remove caching on some CUB types temporarily by @cliffburdick in #216
• Fixed convolution mode SAME and added unit tests by @cliffburdick in #217
• Added convolution VALID support by @cliffburdick in #218
• Allow operators on cumsum by @cliffburdick in #219
• Using async allocation in median() by @cliffburdick in #220
• Various CUB fixes -- got rid of offset pointers (async allocation + copy), allowed operators on more types, and fixed caching on sort by @cliffburdick in #222
• Fixed memory leak on CUB cache bypass by @cliffburdick in #223
• Update to pipe type through for scalars on set operation by @tylera-nvidia in #225
• Added complex version of mean and variance by @cliffburdick in #227
• Fixed FFT batching for non-contiguous tensors by @cliffburdick in #228
• Added fmod operator by @cliffburdick in #230
• Fmod by @cliffburdick in #231
• Changing name to fmod by @cliffburdick in #232
• Cloneop by @luitjens in #233
• Making the shift parameter in shift an operator by @luitjens in #234
• Change sign of shift to match python/matlab. by @luitjens in #235
• Changing output operator type to by value to allow temporary operators to be used as an output type. by @luitjens in #236
• Adding slice() operator. by @luitjens in #237
• Fix cuTensorNet workspace size by @leofang in #241
• adding permute operator by @luitjens in #239
• Cleaning up operators/transforms. by @luitjens in #243
• Rapids cmake no fetch by @cliffburdick in #245
• Cleanup of include directory by @luitjens in #246
• Fixed conv SAME mode by @cliffburdick in #248
• Use singleton on GIL interpreter by @cliffburdick in #249
• make owning a runtime parameter by @luitjens in #247
• Fixed bug with batched 1D convoultion size by @cliffburdick in #250
• Adding 2d convolution tests by @luitjens in #251
• Properly initialize pybind object by @cliffburdick in #252
• Fixed sum() using wrong iterator type by @cliffburdick in #253
• g++11 fixes by @cliffburdick in #254
• Fixed size on conv and added benchmarks by @cliffburdick in #256
• Adding unit tests for collapse with remap by @luitjens in #255
• Collapse tests by @luitjens in #257
• adding madd function to improve convolution throughput by @luitjens in #258
• Conv opt by @luitjens in #259
• Fixed compiler errors in release mode by @cliffburdick in #261
• Add streaming make_tensor APIs. by @luitjens in #262
• adding random benchmark by @luitjens in #264
• remove depricated APIs in make_tensor by @luitjens in #266
• Host unit tests by @luitjens in #267
• Fixed bug with FFT size shorter than length of tensor by @cliffburdick in #270
• removing unused pybind call made before pybind initialize by @tylera-nvidia in #271
• Fixed visualization tests by @cliffburdick in #275
• Fix cmake function check_python_libs. by @pkestene in #274
• Support CubSortSegmented by @tylera-nvidia in #272
• Executor cleanup. by @luitjens in #277
• Transpose operators changes by @luitjens in #278
• Remove Deprecated Shape and add metadata to Print by @tylera-nvidia in #280
• Update Documentation by @tylera-nvidia in #282
• NVTX Macros by @tylera-nvidia in #276
• Adding throw to file reading by @tylera-nvidia in #281
• Adding str() function to generators and operators by @luitjens in #283
• Added reshape op by @luitjens in #287
• 0D tensor printing was broken since they don't have a stride by @cliffburdick in #289
• Allow hermitian to take any rank by @cliffburdick in #292
• Hermitian nd by @cliffburdick in #293
• Fixed batched inverse by @cliffburdick in #294
• Added 4D matmul unit test and fixed batching bug by @cliffburdick in #297
• Fixing batched half precision complex GEMM by @cliffburdick in #298
• Rename simple_pipeline to simple_radar_pipeline for added clarity by @awthomp in #299
• Remove cuda::std::min/max by @cliffburdick in #301
• Fixed chained concatenations by @cliffburdick ...