What's Changed

• Support passing Triton function object to hl.triton_kernel() by @yf225 in #1263
• chore: Bump actions/download-artifact from 6 to 7 by @dependabot[bot] in #1270
• chore: Bump actions/upload-artifact from 5 to 6 by @dependabot[bot] in #1271
• [Distributed] one_shot_allreduce_bias_rmsnorm example by @yf225 in #1266
• [Distributed] matmul_reduce_scatter example by @yf225 in #1269
• feat(benchmarks): add shapes to json output by @fulvius31 in #1273
• [Autotuner] Log the 'started' state to CSV, for easier user monitoring of kernel hanging at runtime by @yf225 in #1279
• default pattern search by @v0i0 in #1259
• Set LFBOPatternSearch as default by @ethche in #1280
• fix surrogate search for singleton population by @v0i0 in #1281
• Ignore bzl files in git. by @Myrthan in #1282
• chunk fused_linear_jsd by @v0i0 in #1277
• Fix buggy interation between XYZProgramIDs and L2GroupingProgramIDs by @jansel in #1288
• Fix bug with torch.rand_like compile error by @jansel in #1289
• [autotuner] print path to generated Triton code after selection of kernel by @bringlein in #1285
• Add support for torch.gather by @jansel in #1290
• [docs] Add more example to docs by @oulgen in #1301
• [lint] remove dead ignores by @oulgen in #1302
• Add proper error handling for torch.split and torch.tensor_split in device loops by @oulgen in #1297
• Fix BlockReductionStrategy to use existing index variables for argmax/argmin operations by @oulgen in #1298
• Skip more failing tests on cpu backend by @oulgen in #1304
• [CI] Fix broken notebook by @oulgen in #1305
• Fix shape inference for tile indexing on size-1 dimensions and use broadcast_to for block_ptr by @oulgen in #1299
• Fix codegen broadcasting for tile indexing on size-1 tensor dimensions by @oulgen in #1300
• Enable tests on py314 by @oulgen in #1306

New Contributors

• @bringlein made their first contribution in #1285

Full Changelog: v0.2.7...v0.2.8

What's Changed

• [CI] Skip all failing distributed tests by @yf225 in #1206
• Include index_dtype in the printed decorator snippet by @choijon5 in #1207
• Add dict comprehension support by @oulgen in #1191
• settings: set appropriate dot_precision default by @fulvius31 in #1184
• [Interpret Mode] Support custom block size by @yf225 in #1194
• [Autotuner] Add autotune_benchmark_fn setting by @yf225 in #1199
• jagged_dense_bmm (#1126) by @trieuat in #1213
• benchmarks: Include AMD GCN arch in get_device_name() by @fulvius31 in #1214
• Fix linter errors by @yf225 in #1218
• Fix unit test breakage due to upstream change by @yf225 in #1219
• Fix static_shapes setting in test_dot.py by @yf225 in #1220
• Fix memory leak when Triton compile error occurs by @yf225 in #1217
• [Interpret Mode] Re-enable block-size dependent tests by @yf225 in #1212
• [Interpret Mode] Raise error if hl.store is used with duplicate indices by @yf225 in #1221
• [Interpret Mode] Fix hl.store automatic dtype conversion by @yf225 in #1226
• [Interpret Mode] Fix hl.load with multiple 1D tensor indices by @yf225 in #1227
• [CI] Fix NVSHMEM env vars and re-enable distributed CI job by @yf225 in #1201
• Move jagged_dense_bmm expected code to the right place by @yf225 in #1232
• Reduce log volume by moving output code logging behind HELION_PRINT_OUTPUT_CODE=1 by @yf225 in #1233
• Add setup for Helion to compile on MTIA with basic test by @Myrthan in #1169
• Make hl.triton_kernel support global var and recursive kernel call by @yf225 in #1234
• Make hl.triton_kernel support output_like=None without being DCE'd by @yf225 in #1237
• Show errors when pre-commit fails by @oulgen in #1238
• example: gated delta net fwd_h by @v0i0 in #1119
• Change property name from camel case to snake case. by @Myrthan in #1239
• Move distributed examples to examples/distributed/ by @yf225 in #1240
• fix for circular dependency by @mengluy0125 in #1236
• Fix mask propagation for indexed stores when block_id is 0 by checking is not None instead of truthiness by @oulgen in #1244
• Clean up distributed examples path refs by @yf225 in #1241
• Fix RNG codegen for constant (specialized) dimensions by @yf225 in #1253
• Avoid broadcasting for non-consecutive tensor indexers by @yf225 in #1254
• Implement torch.sort support by @oulgen in #1247
• Implement torch.topk support by @oulgen in #1248
• Allow using hl.specialize to specialize on tensor strides by @yf225 in #1215
• Use torch._dynamo.mark_static() API to allow tensor shape specialization outside of the kernel code by @yf225 in #1210
• chore: Bump actions/cache from 4 to 5 by @dependabot[bot] in #1257
• Fix invalid Triton code for mixed scalar/block indexing in store operations when block dimension has size 1 by @oulgen in #1258

New Contributors

• @trieuat made their first contribution in #1213
• @Myrthan made their first contribution in #1169

Full Changelog: v0.2.6...v0.2.7

What's Changed

• Add tests for tile.index floor division pattern in indexing by @oulgen in #1189
• Update pyrefly pre-commit hook. by @rchen152 in #1186
• [CI] Skip failing distributed test by @yf225 in #1196
• [CI] Pin networkx for py3.14 by @oulgen in #1197
• Add tuple comprehension support by @oulgen in #1190
• Print repro code on autotune success by @yf225 in #1203
• Use int64 indexing for pids as well by @Chillee in #1195

New Contributors

• @Chillee made their first contribution in #1195

Full Changelog: v0.2.5...v0.2.6

What's Changed

• Add 2d and 3d indirect indexing support by @yf225 in #593

Full Changelog: v0.2.4...v0.2.5

What's Changed

• Add user-customizable autotune_baseline_atol / rtol settings by @yf225 in #1136
• Fix specialize + reshape use case by @yf225 in #1146
• Emit tl.constexpr dims for block-size-only view/reshape shapes by @oulgen in #1149
• Add hl.triton_kernel to call Triton kernels from device code by @oulgen in #1150
• Add torch.library.custom_op compatibility to @helion.kernel by @gmagogsfm in #1153
• chore: Bump actions/checkout from 5 to 6 by @dependabot[bot] in #1154
• Skip Resource temporarily unavailable error by @mengluy0125 in #1156
• Automatically use zero tolerance for bitwise comparison for fp8 dtypes during autotuning by @gmagogsfm in #1158
• Fix min hoisting bug by @yf225 in #1157
• Fix scalar broadcast bug in inductor lowering by @gmagogsfm in #1159
• Add LFBO Pattern Search by @ethche in #1115
• benchmarks: allow external kernel mappings for Helion run.py by @fulvius31 in #1160
• Fix CI dependency error for nvidia-nvshmem-cu12 when using PyTorch nightly and other CI lint errors from pyrefly change. by @choijon5 in #1165
• Support AMD-specific autotune parameters: waves_per_eu and matrix_instr_nonkdim by @choijon5 in #1162
• Get remote tensors inside @helion.kernel by @kwen2501 in #1122
• fix shape bug in lfbo pattern search by @ethche in #1170
• Fix lint errors in local dev env by @yf225 in #1174
• [Ref Mode] Fix error message by @yf225 in #1175
• Add support for x.view() by @oulgen in #1176
• Add support for hl.randint by @oulgen in #1177
• Support torch.tensor in helion.kernel by @oulgen in #1178
• Support data-dependent hl.tile/hl.grid bounds in persistent kernels by @oulgen in #1180
• [CI] remove all conda and move to uv by @oulgen in #1181
• Fix unbackend symints in generated code by @oulgen in #1179

New Contributors

• @gmagogsfm made their first contribution in #1153
• @ethche made their first contribution in #1115
• @kwen2501 made their first contribution in #1122

Full Changelog: v0.2.3...v0.2.4

What's Changed

• [CI] Fail the distributed CI job if any unit test fails by @yf225 in #1125
• Add DE-Surrogate hybrid autotuner algorithm + early stopping option for DE and DE-Surrogate by @FranciscoThiesen in #1096
• Update AGENTS.md by @jansel in #1128
• Add Settings.persistent_reserved_sms by @jansel in #1129
• Add Settings.autotune_force_persistent by @jansel in #1130
• [CI] Fix fbcode test_breakpoint error by @yf225 in #1132
• Auto-select index_dtype by @jansel in #1131
• Support tuple indexing by hl.static_range iterator by @yf225 in #1134
• Fix CI to surface errors correctly, fix all existing errors by @yf225 in #1138
• Workaround TRITON_INTERPRET bug breaking tests by @jansel in #1139
• Fix size 0 tensor handling by @jansel in #1140
• [Benchmark CI] Print generated Triton code for the best config by @yf225 in #1142
• Use pyrefly for type checking by @rchen152 in #1143
• fix pyrefly errors by @oulgen in #1144
• [CI] Skip TestBreakpoint in ref-eager CI job by @yf225 in #1141
• Bump pyrefly to 0.42.1 and remove 'sed' workaround. by @rchen152 in #1145

New Contributors

• @FranciscoThiesen made their first contribution in #1096
• @rchen152 made their first contribution in #1143

Full Changelog: v0.2.2...v0.2.3

What's Changed

• [Benchmark] Update welford torch.compile function name by @yf225 in #1029
• chore: Bump actions/upload-artifact from 4 to 5 by @dependabot[bot] in #1030
• chore: Bump actions/download-artifact from 5 to 6 by @dependabot[bot] in #1031
• [Benchmark CI] Set welford num_inputs to 6 to avoid timeout by @yf225 in #1032
• Default config: reduce block_size and num_stages to avoid shared mem OOM by @yf225 in #1033
• Default config: reduce block_size further to avoid shared mem OOM by @yf225 in #1034
• Disable autotuner progress bar in fbcode unit test by @yf225 in #1035
• Always print cached config by @oulgen in #1036
• Fix dtype mismatch error in se_block example by @yf225 in #1040
• Upgrade clang version by @oulgen in #1043
• Fix missing static_shapes=False in deployment_autotuning.md by @jansel in #1042
• Fix matmul output dtype to match PyTorch eager behavior by @yf225 in #1044
• Fix layernorm bwd unit test by @yf225 in #1047
• Fix FlattenedTileStrategy to handle unit-sized block dimensions by @yf225 in #1048
• [CI] Fix debug_str() to be compatible with latest PyTorch nightly by @yf225 in #1050
• [Fix upcoming CI error] Set current node in inductor lowering by @yf225 in #1052
• Remove Section Navigation pane from Deployment and Autotuning page. by @choijon5 in #1051
• Add settings.autotune_baseline_fn to allow passing in custom baseline function to autotuner by @yf225 in #1054
• Add HELION_PRINT_REPRO=1 to print Helion kernel repro script to console by @yf225 in #1049
• Fix caching for CPUs by @oulgen in #1055
• Add get_num_sm for cpu by @oulgen in #1056
• Support torch.rand / torch.rand_like with dynamic tile sizes by @yf225 in #1057
• Remove line numbers from expected files by @oulgen in #1061
• Ignore passed in config when force autotune is turned on by @oulgen in #1060
• Update Watch Talk link to Triton conf talk. by @choijon5 in #1058
• Helion Puzzle docs bug fixes by @Athe-kunal in #1062
• Update test_persistent_kernels.expected by @jansel in #1070
• Make HELION_PRINT_REPRO=1 take effect in more error cases by @yf225 in #1066
• add geglu backward by @parsshar-RH in #1069
• [Unblock internal] Fix log capture issue on internal tests by @yf225 in #1076
• Add best effort triton-cpu support by @oulgen in #1037
• Update test_debug_utils.py by @oulgen in #1077
• Raise user error if device-loop is empty after DCE by @yf225 in #1074
• Add GRPO loss example by @ighoshsubho in #1063
• Use HELION_PRINT_REPRO=1 to print repro when device IR lowering or Triton codegen error by @yf225 in #1078
• add AMD demo link by @vivienfanghuagood in #1068
• Update test.yml by @oulgen in #1083
• Fix GRPO loss example unit tests by @yf225 in #1079
• Remove requirements.txt by @oulgen in #1088
• Relax requirements for inline_triton output_like=None by @jansel in #1087
• feat(autotuner): Make autotune cache class configurable via env var by @fulvius31 in #1071
• Add support for while and pass by @jansel in #1090
• Update sphinxtheme to pull from pypi package by @sekyondaMeta in #1091
• [Autotuner] Better error message for default config error by @yf225 in #1092
• Ignore illegal instruction errors by @jansel in #1093
• Update talk links to PTC version by @jansel in #1094
• Add autotuning log by @jansel in #1095
• Fix builtin min / max handling in device loop by @yf225 in #1085
• Add skipIfRocm to failing test on main by @jansel in #1101
• Fix lint in newer triton by @jansel in #1098
• Add AGENTS.md by @jansel in #1100
• Refactor _decorators.codegen to allow multiple backends by @jansel in #1099
• Add extra line before repro log; update repro log tests by @yf225 in #1102
• Refactor inductor_lowering.py into two files by @jansel in #1103
• Use CPU machine for triton-cpu by @oulgen in #1105
• Fix no libdw.so issue on AMD CI by @yf225 in #1107
• Fixes in helion puzzles by @Athe-kunal in #1104
• Add distributed CI job (4xH100) and example unit tests by @yf225 in #1106
• Generalize aten_lowering.py for multiple backends by @jansel in #1108
• Support tensor.T for transpose by @yf225 in #1110
• Add warning to discourage use of acc += lhs @ rhs pattern by @yf225 in #1111
• Remove @helion.jit usage and advise use of @helion.kernel by @yf225 in #1116

New Contributors

• @Athe-kunal made their first contribution in #1062
• @parsshar-RH made their first contribution in #1069
• @ighoshsubho made their first contribution in #1063
• @vivienfanghuagood made their first contribution in #1068
• @fulvius31 made their first contribution in #1071

Full Changelog: v0.2.1...v0.2.2

What's Changed

• No autotuning on block_ptr if tma is available by @PaulZhang12 in #997
• Add reps for benchmarking stability by @PaulZhang12 in #999
• Prioritize outermost loop for warp spec by @PaulZhang12 in #1000
• Add backward pass for softmax kernel by @karthickai in #744
• Fix linter in softmax by @oulgen in #1003
• Fix test_examples.expected by @oulgen in #1002
• Beef up caching tests by @oulgen in #1001
• Add HELION_ASSERT_CACHE_HIT to debug/explain cache miss by @oulgen in #1006
• Better error message for calling Helion kernel from another kernel by @yf225 in #1008
• Assert that we are cache hitting on the CI by @oulgen in #1007
• Always raise FailedToUnpackTile when for tile_m, tile_d in hl.tile(m, d) is used by @yf225 in #1009
• Adding demo for running softmax kernel on Google colab by @choijon5 in #944
• int4 gemm accurate baselines by @PaulZhang12 in #1010
• Add sitemap xml by @sekyondaMeta in #1013
• [helion] backward support for swiglu by @shunting314 in #756
• Raise informative error when hl.dot with 3D inputs have batch dim mismatch by @yf225 in #1012
• [CI] Fix AMD journal check errors by @yf225 in #1016
• Support breakpoint() in device code when interpret mode is on by @yf225 in #1020
• Sort requirements file by @oulgen in #1021
• Better type checking for eviction policies by @oulgen in #1024
• Bump linter versions by @jansel in #1018
• Garbage collect expected results by @jansel in #1017
• Make indexing choice a list by @oulgen in #1025
• [Docs] Add list of indexing autotuning docs by @oulgen in #1027
• Make store indexing also individually tunable by @oulgen in #1028

New Contributors

• @shunting314 made their first contribution in #756

Full Changelog: v0.2.0...v0.2.1

What's Changed

• Verify compiled kernels in subprocess by @jansel in #914
• Auto-shrink autotune_precompile_jobs based on free memory by @jansel in #940
• Make HELION_FORCE_AUTOTUNE or kernel.autotune() skip the cache by @jansel in #930
• Support warp specialization on B200 by @oulgen in #935
• Update README.md by @oulgen in #943
• Register tile symbol origin, to support tile + offset use case in blackwell attention by @yf225 in #939
• [CI] Print failed tests by @oulgen in #942
• Update examples to use run_example by @jansel in #941
• blackwell attn with triton attr set by @v0i0 in #918
• Set static_shapes=True by @oulgen in #937
• run.py env var to skip exception logging by @v0i0 in #946
• Fix bug with unit sized dims and block_sizes by @jansel in #932
• Update static_shapes docs by @jansel in #951
• Add tile.count by @oulgen in #955
• Auto detect low vram by @oulgen in #956
• [CI] Use official PyTorch 2.9 by @oulgen in #962
• Use interleaved_bench for run_example by @jansel in #945
• Generalize tile_with_offset pass by @jansel in #949
• Docstring updates by @jansel in #952
• Import updates by @jansel in #953
• Add missing environment variables to docs by @jansel in #957
• Print out errors vs timeouts in autotuning status by @jansel in #960
• Add HELION_AUTOTUNE_IGNORE_ERRORS by @jansel in #961
• Exit autotuning faster on KeyboardInterrupt by @jansel in #963
• Remove default settings by @jansel in #964
• Add missing settings environment variables by @jansel in #965
• Skip test_differential_evolution_search due to slowness by @jansel in #968
• [Benchmark CI] Give nightly job permissions by @oulgen in #970
• [Benchmark CI] Allow kicking off workflow dispatch by @oulgen in #971
• [Benchmark CI] Allow specifying custom env vars via UI by @yf225 in #972
• [blackwell attn example] qk scale as param by @v0i0 in #969
• [Benchmark CI] Allow specifying custom args to benchmark runner via UI by @yf225 in #974
• Add initial backwards compatibility tests by @oulgen in #958
• Remove unrolling + warp spec by @PaulZhang12 in #967
• [Benchmark CI] Set atol and rtol to 1e-2 by @yf225 in #976
• [Benchmark] Fix tritonbench auto-installation by @yf225 in #980
• [Autotuner] Fix fork-based autotuner to avoid re-initializing CUDA context in subprocess by @yf225 in #981
• Make fork default precompilation strategy by @oulgen in #979
• [benchmarks] change tritonbench path by @xuzhao9 in #966
• Add skipIfA10G decorator by @yf225 in #982
• Suggest HELION_AUTOTUNE_PRECOMPILE=spawn when IMA happens by @jansel in #984
• Layer Norm bwd kernel to support large B*M case used by internal by @yf225 in #973
• Fix timeouts in autotuning by @jansel in #985
• Log generated triton code at the DEBUG level rather than INFO by @jansel in #986
• Remove extra debug log for timeouts by @jansel in #987
• Add squeeze_and_excitation_net kernel by @mengluy0125 in #870
• Generalize test cases to support XPU by @EikanWang in #983
• Updated README with News section of upcoming events. Added link to GPU mode talk. by @choijon5 in #991
• Update README.md by @oulgen in #992
• Update README.md by @oulgen in #993
• Mamba2 Chunk Scan & State by @v0i0 in #950
• Remove unrolling with tma + pipelining by @PaulZhang12 in #994
• Add provenance annotations to output code by @jansel in #988

Full Changelog: v0.1.8...v0.2.0

What's Changed

• fix rmsnorm fwd tritonbench by @v0i0 in #840
• Update input shapes for example kernels by @yf225 in #845
• Extend eviction policy tests to all indexing types by @oulgen in #833
• [Docs] Remove early development warning by @oulgen in #846
• [Docs] Add link to gpumode discord by @oulgen in #847
• [Docs] Add PTC promotional material by @oulgen in #848
• [Benchmark] Add low mem dropout example by @karthickai in #641
• Update lint.yml by @oulgen in #854
• Remove hl.register_reduction_dim API by @yf225 in #834
• Error message for boolean masking or torch.nonzero by @yf225 in #687
• Remove hardcoded block_size=1 usage in attention kernel example by @yf225 in #843
• Revert "Update to use the new attribute setting for tf32." by @choijon5 in #856
• Decrease num_stages default from 3 to 2, to avoid shared memory OOM by @yf225 in #841
• Allow user-defined specialization key by @jansel in #853
• [Benchmark CI] Use fewer num_inputs for flash_attention to avoid timeout by @yf225 in #857
• Remove legacy register_inductor_lowering code by @yf225 in #864
• Set setstate/getstate methods to Config by @jansel in #868
• [doc] Add deployment/autotuning guide by @jansel in #869
• [Benchmark CI] Use equally-spaced-k mode to sample input shapes by @yf225 in #861
• Fix sphinx warnings by @jansel in #871
• Normalize tl.sqrt and libdevice.sqrt for tests by @oulgen in #866
• [CI] Pin py3.10 and one py3.12 on pytorch2.9 by @oulgen in #858
• [Docs] Suggest PyTorch 2.9 or above by @oulgen in #859
• [Benchmark] Pin benchmarks to PyTorch 2.9 by @oulgen in #860
• Print Triton code when error for easier debugging by @yf225 in #874
• Terminate autotuning faster if progress is minimal by @oulgen in #855
• Update README.md by @oulgen in #877
• [CI] pin b200 to pytorch2.9 by @oulgen in #878
• [Autotuner] Run CUDA synchronize before / after candidate func call, to surface CUDA errors sooner by @yf225 in #872
• [Benchmark] bf16 x int16 helion kernel by @karthickai in #794
• Install git for benchmarks by @oulgen in #882
• Pin AMD to 6.4.4 by @oulgen in #883
• Faster int4 gemm by @PaulZhang12 in #751
• Pin AMD to 6.4.4 by @oulgen in #881
• Remove PyTorch requirement from deps so that it is easier to install arbitrary version of pytorch by @oulgen in #879
• [Benchmark CI] Use regular matmul instead of split-k by @yf225 in #884
• [Benchmark] Use bespoke setup-python action by @oulgen in #885
• [Benchmark] Drop memory bound kernels and replace them with gemms by @oulgen in #887
• Add dependabot by @oulgen in #888
• Update dependabot.yml by @oulgen in #891
• chore: Bump actions/setup-python from 5 to 6 by @dependabot[bot] in #893
• chore: Bump actions/download-artifact from 4 to 5 by @dependabot[bot] in #895
• chore: Bump actions/upload-pages-artifact from 3 to 4 by @dependabot[bot] in #894
• chore: Bump actions/checkout from 4 to 5 by @dependabot[bot] in #892
• Upgrade ruff==0.14.0 by @jansel in #889
• [Benchmark CI] grouped_gemm: include input preproc in timing measurement; update gemm backend name mapping by @yf225 in #898
• chore: Bump astral-sh/setup-uv from 6 to 7 by @dependabot[bot] in #896
• [Benchmark] use logger.exception for process errors by @oulgen in #902
• [Benchmark CI] Reduce num_inputs for grouped_gemm and gemm benchmarks by @yf225 in #903
• Query minimum dot size for XPU by @EikanWang in #900
• Add matmul/addmm bwd examples and add test coverage by @tianrengao in #748
• [CI] Pin amd to rocm7.0 by @oulgen in #907
• [Benchmark] Move benchmark kernel sharding to dispatch by @oulgen in #905
• [Benchmark] Provide a way to pass custom list of kernels by @oulgen in #906
• [Benchmark CI] Use triton_tutorial_matmul for triton matmul baseline by @yf225 in #911
• Remove cache around set_triton_allocator by @oulgen in #912
• Add int4_gemm by @oulgen in #917
• chore: Bump actions/github-script from 7 to 8 by @dependabot[bot] in #916
• Catch missing cudnn error by @jansel in #873
• Add progress bar for precompiling by @jansel in #919
• Adding new setting, autotune_effort=[none/quick/full] by @choijon5 in #913
• Print error message for torch.chunk / torch.unbind to redirect users to hl.split by @yf225 in #921
• Avoid setting default --input-sample-mode to equally-spaced-k by @yf225 in #922
• Remove triton_helpers.* usage in lifted device function arguments by @yf225 in #849
• Set HELION_DEV_LOW_VRAM=1 on a10g CI machines by @yf225 in #923
• Suggest use of @helion.kernel(index_dtype=torch.int64) if index offset is out of bound for int32 by @yf225 in #850
• Deprecate use_default_config and replace all its uses with autotune_effort by @choijon5 in #924
• Support hl.arange() with non-power-of-2 input by @yf225 in #862
• Setting up RunLLm AI Chatbot by @sekyondaMeta in #925
• Generalize examples with the DEVICE variable by @adam-smnk in #915
• Fix lint error by @jansel in #926
• Add lint to make sure examples and tests use device=DEVICE by @oulgen in #929
• Support tile+offset and tensor descriptors by @jansel in #928
• Fix triton/torch.compile compability issue by @jansel in #927
• Fix CUDA IMA from combination of unrolling + pipelining by @PaulZhang12 in #920
• Update the Agent ID by @sekyondaMeta in #931
• [Benchmark CI] Use --non-square flag for gemm by @yf225 in #938

New Contributors

• @dependabot[bot] made their first contribution in #893
• @tianrengao made their first contribution in #748

Full Changelog: v0.1.7...v0.1.8