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 in #302
• Multiple concat by @cliffburdick in #303
• Meshgrid API Changes by @luitjens in #304
• Fixing slice operator not working with operator inputs by @cliffburdick in #306
• Adding reduce apis that take reduction dims by @luitjens in #308
• Median nd by @luitjens in #309
• added 4d reduction benchmark by @luitjens in #312
• Change Semantics of collapse APIs by @luitjens in #313
• Change from CUDA_CC to CUDA_ARCH by @cliffburdick in #316
• bug fix in get_grid_dims when z dim was > 64 by @luitjens in #318
• Support axis selection and operators in FFTs by @luitjens in #319
• added missing consts by @luitjens in #320
• clone/slice op optimization: Return a tensor when passed in a tensor. by @luitjens in #321
• adding axis parameter to convolution and correlation APIs by @luitjens in #322
• Adding axis support to gemms. by @luitjens in #323
• Added tests for matrix inverse using LU by @cliffburdick in #327
• Added batched inverse tests by @cliffburdick in #328
• Fix calculation for pulses/channel/sec by @awthomp in #329
• Fixed reading complex CSVs by @cliffburdick in #330
• Fixed Python dtypes to use objects instead of string by @cliffburdick in #331
• Adding op and unsupported tensor shape support to matmul. by @luitjens in #326
• Fixed dangling reference found by valgrind by @cliffburdick in #333
• Legendre by @luitjens in #332
• Added tensor swap() by @cliffburdick in #336
• Added sph2cart and cart2sph by @luitjens in #334
• fixes for complex add and sub and fixes for their unit tests by @tylera-nvidia in #339
• Cgsolve by @luitjens in #337
• fix for real - complex by @tylera-nvidia in #341
• fixing some valgrind warnings by @luitjens in #342
• Leg2 by @luitjens in #340
• adding more error checking for operator sizes by @luitjens in #343
• Fix typos in documentation by @Yaraslaut in #344
• Fixed errors related to CUDA 12 update by @cliffburdick in #347
• make concat axis a runtime parameter instead of compile time. by @luitjens in #348
• adding stack operator by @luitjens in #350
• Convolution overhaul. by @luitjens in #351
• Added complex support to SVD by @cliffburdick in #354
• Optimizing conv2d by @luitjens in #352
• Added softmax operator by @cliffburdick in #355
• Fix by justin for expanded dims not working in certain cases by @cliffburdick in #356
• Added test for strided batched gemm and updated docs by @cliffburdick in #357
• Updates for Offline Deployment and General Bug/QoL Fixes by @tylera-nvidia in #349

New Contributors

• @galv made their first contribution in #182
• @luitjens made their first contribution in #187
• @cwharris made their first contribution in #192
• @pkestene made their first contribution in #200
• @dagardner-nv made their first contribution in #202
• @tylera-nvidia made their first contribution in #225
• @leofang made their first contribution in #241
• @Yaraslaut made their first contribution in #344

Full Changelog: v0.2.5...v0.3.0