v0.2.9rc2

What's Changed

• Reduce the JIT compilation time of gen_gemm_sm100_module by @jinyangyuan-nvidia in #1251
• fix: correctly pass k_scale and v_scale to run() in forward_return_lse (#1023) by @vlev02 in #1254
• Made AR output optional + esthetic changes by @nvmbreughe in #1265
• init add gemm fp8 using cudnn backend by @ttyio in #1264
• Feature/sm100 low latency nvfp4 kernels by @azhurkevich in #1214
• CI: install nvidia-nvshmem-cu12 by @EmilienM in #1262
• feat: enable trtllm-gen mla MTP by @yyihuang in #1258
• Add trtllm-gen attention mha kernel with FP8 Q/K/V and FP8 output by @weireweire in #1242
• add trtllm-gen context attention by @IwakuraRein in #1239
• feat: add masked deepgemm support and benchmarking by @cyx-6 in #1266
• Add missing import in comm/init,py by @joker-eph in #1275
• hotfix: fix deepgemm artifactory hash by @cyx-6 in #1278
• Unify groupwise fp8 GEMM test by @cyx-6 in #1281
• fix: update trtllm-gen fmha benchmark by @yyihuang in #1280
• fix multiCtasKvScratchPtr misalignment issue (new one) by @nvpohanh in #1286
• Fix install folder regression, and JIT-vs-AOT differences by @directhex in #1279
• Add shuffle matrix flag by @aleozlx in #1272
• Convert scale_factor from scalar to Tensor in trt_allreduce_fusion by @ilmarkov in #1284
• patch error handling by @aleozlx in #1293
• Bug fix: guard fp8 e8m0 and e2m1 compile by @Edenzzzz in #1287
• refactor: Improved metainfo for trtllm-gen fmha by @cyx-6 in #1292
• add mm_fp4 use cudnn backend by @ttyio in #1288
• fix: minor errors in cubin loader by @yyihuang in #1295
• perfix: use lightweight API to query device property by @azhurkevich in #1298
• refactor: refactor trtllm-gen attention kernel integration code by @yzh119 in #1289
• Remove FAST_BUILD FLAG for MOE by @wenscarl in #1291
• bugfix: ensure graph is captured and executed on the same stream to avoid rep… by @elfiegg in #1303
• minor: some fix and cleanup for trtllm-gen mha by @yyihuang in #1302
• [Feature] SM level profiler by @Edenzzzz in #1305
• Heuristics + testing unification + CUDA Graphs by @azhurkevich in #1306
• Update cutlass fp4 moe kernels by @wenscarl in #1294
• Fix the bug of the kernel-selection heuristic in trtllm-gen by @PerkzZheng in #1307
• test qkvo quantization not equal to 1. by @weireweire in #1314
• [fix] fix integer overflow in FA2 customized_mask & add buffer overflow warning. by @happierpig in #1290
• Addition of flashinfer_benchmark.py for benchmarking routines by @bkryu in #1323
• minor: update devcontainer by @yyihuang in #1329
• Fix redundant argument in TrtllmGenDecodeModule by @IwakuraRein in #1326
• Optimizations for TRTLLM MNNVL Allreduce by @timlee0212 in #1321
• add torch float4_e2m1fn_x2 check for cudnn fp4 backend by @ttyio in #1333
• only add cudnn dependency for x86 platform by @ttyio in #1332
• Make Fp8 MoE routing_bias optional by @aleozlx in #1319
• feat: Add weight layout option for trtllm-gen fused moe by @aleozlx in #1297
• [Fix] remove torch 2.8 requirement for FP4 GEMM by @elfiegg in #1334
• Bug fix: fix duplicate launch in POD by @Edenzzzz in #1267

New Contributors

• @vlev02 made their first contribution in #1254
• @ttyio made their first contribution in #1264
• @azhurkevich made their first contribution in #1214
• @weireweire made their first contribution in #1242
• @IwakuraRein made their first contribution in #1239
• @nvpohanh made their first contribution in #1286
• @directhex made their first contribution in #1279
• @ilmarkov made their first contribution in #1284
• @elfiegg made their first contribution in #1303
• @PerkzZheng made their first contribution in #1307
• @bkryu made their first contribution in #1323
• @timlee0212 made their first contribution in #1321

Full Changelog: v0.2.8...v0.2.9rc2

v0.2.9rc1

What's Changed

• Reduce the JIT compilation time of gen_gemm_sm100_module by @jinyangyuan-nvidia in #1251
• fix: correctly pass k_scale and v_scale to run() in forward_return_lse (#1023) by @vlev02 in #1254
• Made AR output optional + esthetic changes by @nvmbreughe in #1265
• init add gemm fp8 using cudnn backend by @ttyio in #1264
• Feature/sm100 low latency nvfp4 kernels by @azhurkevich in #1214
• CI: install nvidia-nvshmem-cu12 by @EmilienM in #1262
• feat: enable trtllm-gen mla MTP by @yyihuang in #1258
• Add trtllm-gen attention mha kernel with FP8 Q/K/V and FP8 output by @weireweire in #1242
• add trtllm-gen context attention by @IwakuraRein in #1239
• feat: add masked deepgemm support and benchmarking by @cyx-6 in #1266
• Add missing import in comm/init,py by @joker-eph in #1275
• hotfix: fix deepgemm artifactory hash by @cyx-6 in #1278
• Unify groupwise fp8 GEMM test by @cyx-6 in #1281
• fix: update trtllm-gen fmha benchmark by @yyihuang in #1280
• fix multiCtasKvScratchPtr misalignment issue (new one) by @nvpohanh in #1286
• Fix install folder regression, and JIT-vs-AOT differences by @directhex in #1279
• Add shuffle matrix flag by @aleozlx in #1272
• Convert scale_factor from scalar to Tensor in trt_allreduce_fusion by @ilmarkov in #1284
• patch error handling by @aleozlx in #1293
• Bug fix: guard fp8 e8m0 and e2m1 compile by @Edenzzzz in #1287
• refactor: Improved metainfo for trtllm-gen fmha by @cyx-6 in #1292
• add mm_fp4 use cudnn backend by @ttyio in #1288
• fix: minor errors in cubin loader by @yyihuang in #1295
• perfix: use lightweight API to query device property by @azhurkevich in #1298
• refactor: refactor trtllm-gen attention kernel integration code by @yzh119 in #1289
• Remove FAST_BUILD FLAG for MOE by @wenscarl in #1291
• bugfix: ensure graph is captured and executed on the same stream to avoid rep… by @elfiegg in #1303
• minor: some fix and cleanup for trtllm-gen mha by @yyihuang in #1302
• [Feature] SM level profiler by @Edenzzzz in #1305
• Heuristics + testing unification + CUDA Graphs by @azhurkevich in #1306
• Update cutlass fp4 moe kernels by @wenscarl in #1294

New Contributors

• @vlev02 made their first contribution in #1254
• @ttyio made their first contribution in #1264
• @azhurkevich made their first contribution in #1214
• @weireweire made their first contribution in #1242
• @IwakuraRein made their first contribution in #1239
• @nvpohanh made their first contribution in #1286
• @directhex made their first contribution in #1279
• @ilmarkov made their first contribution in #1284
• @elfiegg made their first contribution in #1303

Full Changelog: v0.2.8...v0.2.9rc1

v0.2.8

What's Changed

• [fix] fix BatchAttention CTA_TILE_KV mask issue by @happierpig in #1206
• feat: enable and update all-reduce fused quantization by @yyihuang in #1164
• Fix the issue with auxillary kernel launch and grid dim calculation by @Anerudhan in #1208
• Fix test_groupwise_scaled_gemm_fp8.py by @jinyangyuan-nvidia in #1211
• [TVM] Remove enable_pdl from TVM binding interface by @MasterJH5574 in #1217
• misc: minor adds in readme by @yyihuang in #1218
• bugfix: fix blackwell fmha hanging issue for empty kv_len by @yzh119 in #1198
• update trtllm-gen decode attention kernel launcher by @wenscarl in #1189
• Handle allocation cutlass fused MoE output to caller by @wenscarl in #1225
• Fix missing hash in the cudnn cubin path by @Anerudhan in #1227
• bugfix: add logits processor to pyproject.toml by @yzh119 in #1224
• fix: add trtllm-allreduce-fusion api notes and fix memory error by @yyihuang in #1229
• feat: Add non-causal cudnn prefill kernels by @Anerudhan in #1230
• minor: update oneshot handling, add params notes by @yyihuang in #1232
• Enable cudnn decode and add tests for the cudnn decode kernel by @Anerudhan in #1221
• docker: add cuda-python to CI docker image by @yzh119 in #1233
• bugfix: Fix building without get_requires*() invocation by @mgorny in #1226
• bugfix: support uint8_t for vec_t class template by @chenyang78 in #1234
• feat: trtllm-gen fp8 moe kernels by @aleozlx in #1212
• Patch fp8 cubin availability by @aleozlx in #1240
• [comm] TRT-LLM's Multi-Node NVLink All-Reduce Kernel by @nvmbreughe in #1213
• feat: Support MXFP8 x MXFP4 CUTLASS grouped GEMM by @jinyangyuan-nvidia in #1241
• feat: add trtllm-gen mla cubin by @yyihuang in #1222
• Add DeepGEMM kernels by @cyx-6 in #1209
• Remove sm100+ requirment for trtllm allreduce kernels by @yzh119 in #1249
• Defer mpi import for comm module by @yzh119 in #1250
• feat: support environment variable overrides for NVSHMEM paths and linker flags by @EmilienM in #1253
• release: bump version to v0.2.8 by @yzh119 in #1257
• TRT-LLM's Multi-Node NVLink AR + fused RMSNorm kernel by @nvmbreughe in #1255

New Contributors

• @jinyangyuan-nvidia made their first contribution in #1211
• @mgorny made their first contribution in #1226
• @chenyang78 made their first contribution in #1234
• @aleozlx made their first contribution in #1212
• @nvmbreughe made their first contribution in #1213
• @EmilienM made their first contribution in #1253

Full Changelog: v0.2.7.post1...v0.2.8

v0.2.8rc1

What's Changed

• [fix] fix BatchAttention CTA_TILE_KV mask issue by @happierpig in #1206
• feat: enable and update all-reduce fused quantization by @yyihuang in #1164
• Fix the issue with auxillary kernel launch and grid dim calculation by @Anerudhan in #1208
• Fix test_groupwise_scaled_gemm_fp8.py by @jinyangyuan-nvidia in #1211
• [TVM] Remove enable_pdl from TVM binding interface by @MasterJH5574 in #1217
• misc: minor adds in readme by @yyihuang in #1218
• bugfix: fix blackwell fmha hanging issue for empty kv_len by @yzh119 in #1198
• update trtllm-gen decode attention kernel launcher by @wenscarl in #1189
• Handle allocation cutlass fused MoE output to caller by @wenscarl in #1225
• Fix missing hash in the cudnn cubin path by @Anerudhan in #1227
• bugfix: add logits processor to pyproject.toml by @yzh119 in #1224
• fix: add trtllm-allreduce-fusion api notes and fix memory error by @yyihuang in #1229
• feat: Add non-causal cudnn prefill kernels by @Anerudhan in #1230
• minor: update oneshot handling, add params notes by @yyihuang in #1232
• Enable cudnn decode and add tests for the cudnn decode kernel by @Anerudhan in #1221
• docker: add cuda-python to CI docker image by @yzh119 in #1233
• bugfix: Fix building without get_requires*() invocation by @mgorny in #1226
• bugfix: support uint8_t for vec_t class template by @chenyang78 in #1234

New Contributors

• @jinyangyuan-nvidia made their first contribution in #1211
• @mgorny made their first contribution in #1226
• @chenyang78 made their first contribution in #1234

Full Changelog: v0.2.7.post1...v0.2.8rc1

v0.2.7.post1

What's Changed

• [feat] optimize persistent batch attention perf. by @happierpig in #1200
• Feature/cudnn dynamic cubin by @Anerudhan in #1187
• Fix flashinfer.comm module missing by @BBuf in #1203
• chore: bump flashinfer v0.2.7.post1 by @zhyncs in #1205

New Contributors

• @Anerudhan made their first contribution in #1187
• @BBuf made their first contribution in #1203

Full Changelog: v0.2.7...v0.2.7.post1

v0.2.7

What's Changed

• ci: Update images for self-hosted ARM64 runner by @yongwww in #1128
• Fix pointer dtype bug in rope by @Edenzzzz in #1129
• feat: update and test create_ipc_buffer by @yyihuang in #1130
• misc: update runllm widget by @yzh119 in #1132
• misc: correct runllm widget (again) by @MasterJH5574 in #1133
• [Feature] Support PDL for batch Prefill and Decode by @Edenzzzz in #1117
• fix: negative zero by type trait --> binary value by @yyihuang in #1136
• fix: sync after create_workspace by @yyihuang in #1138
• refactor: use functools.cache instead of global dict for caching modules by @yzh119 in #1135
• [feat] add unified batch attention w/ correctness tests. by @happierpig in #1137
• Fix FA2 and FA3 multi-item scoring and cuda illegal memory access error by @arde171 in #1140
• feat: Add support for FLASHINFER_EXTRA_LDFLAGS environment variable by @jennifgcrl in #1144
• misc: remove sync between persistent runners and use packed_causal_kv_end for SM90Plan by @Edenzzzz in #1146
• [fix] fix precision errors when applying causal mask on Qwen-2.5 series models by @happierpig in #1148
• ci: Install mpi4py by @yongwww in #1149
• feat: add trtllm moe_allreduce_fusion by @yyihuang in #1108
• feat: add trtllm all-reduce fusion by @yyihuang in #1131
• Add more logging to TRTLLM-GEN debug trace (NFC) by @joker-eph in #1158
• feat: update non-fused moe by @yyihuang in #1161
• Add fp4 quantization swizzling tests by @wenscarl in #1157
• refactor: communication module by @yyihuang in #1162
• feat: add finalize_moe_allreduce from trtllm by @yyihuang in #1159
• feat: experimental support of green ctx by @yzh119 in #1163
• feat: Fused temperature online softmax kernel by @xslingcn in #1153
• MNNVL MoE All-to-All Support by @cyx-6 in #1134
• feat: nvshmem python bindings by @yzh119 in #1160
• Fix missing symbols in trtllm_utils.so by @tiran in #1168
• feat: logits processor fustion rule for temperature softmax by @xslingcn in #1170
• Expose fp4 blockscale swizzling kernel by @wenscarl in #1176
• add nvshmem sum_reduce for mnnvl allreduce by @Amir-19 in #1152
• bugfix: softmax NaN results caused by large -inf masks by @xslingcn in #1178
• [CI] Update is_last_build by @yongwww in #1183
• [feat] support block sparse attention w/ variable block sizes and head-wise sparse patterns by @happierpig in #1177
• bugfix: fix invalid blackwell fmha unittests by @yzh119 in #1181
• feat: support green ctx creation by a list of SM counts by @Conless in #1190
• fix: trtllm_comm module aot arch issues by @yyihuang in #1196
• bugfix: fix broken docs build by adding missing dependencies by @Conless in #1197
• chore: bump v0.2.7 by @zhyncs in #1199

New Contributors

• @jennifgcrl made their first contribution in #1144
• @tiran made their first contribution in #1168
• @Amir-19 made their first contribution in #1152
• @Conless made their first contribution in #1190

Full Changelog: v0.2.6.post1...v0.2.7

v0.2.6.post1

What's Changed

• [CI] Add x86_64 tag for x86 self-hosted runner by @yongwww in #1126
• hotfix: fix installation script behavior by @yzh119 in #1125

Full Changelog: v0.2.6...v0.2.6.post1

v0.2.6

What's Changed

• ci: select 2_28 manylinux builder for new torch+cuda versions by @yzh119 in #1000
• misc: update REAMDME.md by @yzh119 in #1003
• bugfix: Fix illegal memory access due to custom mask ptr by @yongchaoding in #1008
• misc: fix kv-layout doc references by @Edenzzzz in #1009
• misc: more benchmark scripts in Python by @yzh119 in #1010
• misc: fix instrument code for mla profiler by @yzh119 in #1014
• bugfix: import wrapper of mla decode by @dhy2000 in #1013
• feat: update decode attention APIs by @yzh119 in #1007
• doc: use latest protobuf for profiler by @xslingcn in #1021
• feat: SM-constraint Communication Kernels by @yyihuang in #994
• feat: ragged tensor padding kernel for blackwell kernel alignment by @yzh119 in #1025
• bugfix: fix custom mask not be reseted after convert custom mask into causal or non-causal by @yongchaoding in #1028
• fix: add zero init for KV tiled copy by @happierpig in #1029
• [NVIDIA] Add Cutlass MLA backend by @kaixih in #1031
• Add workflow to build aarch64 wheel by @yongwww in #1036
• Non-blocking host-to-device copy in the ragged prefill wrapper by @nandor in #1040
• fix: remove default ubuntu user in Lunar/Noble by @rickyfeng0119 in #1042
• feat: Softmax free sampling by @kf-zhang in #1035
• feat: add functional per-head FP8 quantization for FA3 by @happierpig in #1033
• add multi-item scoring by @arde171 in #1015
• [nvidia] cutlass fp8 blockwise/groupwise gemm support by @cyx-6 in #1045
• [nvidia] cutlass fp8 groupwise grouped gemm support by @cyx-6 in #1047
• fix: top_k_mask_logits hangs on -inf inputs by @xslingcn in #1050
• Benchmark: POD vs batched prefill by @Edenzzzz in #1052
• [nvidia] initial support for blackwell kernels by @yzh119 in #1039
• Fix KV chunking for POD. by @AKKamath in #1054
• bugfix: temporally disable split-kv in blackwell mla by @yzh119 in #1055
• bugfix: remove device allocation by @yzh119 in #1056
• Parameterize prefix mask call (needed by POD-Attention) by @AKKamath in #1059
• bugfix: move cum_m calculation inside kernels by @yzh119 in #1060
• misc: add pull request template by @yzh119 in #1062
• bugfix: Cast build paths to str before setuputils Extension by @farnasirim in #1058
• Add PyTorch 2.7.0 build by @huydhn in #1063
• bugfix: adding lse output to blackwell fmha kernels by @yzh119 in #1071
• bugfix: follow user-specified sm_scale for blackwell cutlass fmha by @yzh119 in #1072
• misc: jit: Introduce JitSpec and Generate ninja file by @abcdabcd987 in #1065
• fix: fix a typo in docs by @acelyc111 in #1077
• misc: jit: Deprecate load_cuda_ops() by @abcdabcd987 in #1066
• misc: jit: fix missing _get_glibcxx_abi_build_flags by @abcdabcd987 in #1080
• misc: jit: Refactor gen JitSpec out of get_xxx_module by @abcdabcd987 in #1069
• misc: jit: Replace parallel_load_modules() with build_jit_specs() by @abcdabcd987 in #1070
• misc: jit: Import jit_env as a module by @abcdabcd987 in #1073
• misc: aot: Add script to build all AOT ops by @abcdabcd987 in #1067
• misc: aot: Refactor AOT packaging by @abcdabcd987 in #1075
• misc: aot: Remove has_prebuilt_ops by @abcdabcd987 in #1076
• ci: upgrade docker ci image by @yzh119 in #1082
• bugfix: fix custom allreduce compilation in AOT mode by @yzh119 in #1083
• perf: accelerate blackwell grouped gemm by @yzh119 in #1086
• misc: update pull request template by @yzh119 in #1088
• Fix Cutlass grouped GEMM stride by @cyx-6 in #1081
• bugfix: fix fp8 attention kernels aot compilation issue by @yzh119 in #1087
• comm: refactor and initialize flashinfer.comm module by @yzh119 in #1089
• misc: cleanup by @b8zhong in #1092
• misc: followup by @b8zhong in #1093
• [nvidia] Add Blackwell FMHA decode kernel from TRT-LLM by @joker-eph in #1051
• bugfix: fix ninja generation rule for non-cuda input by @yzh119 in #1097
• jit: Update TVM JIT binding with the latest FFI refactor by @MasterJH5574 in #1100
• SM100 Groupwise GeMM K-Major Scale Supports by @cyx-6 in #1102
• misc: aot: Add platform tag to wheel by @abcdabcd987 in #1105
• feat: composable logits processor by @xslingcn in #1099
• feat: add trtllm all-reduce (non-MoE) by @yyihuang in #1096
• bugfix: host-precomuted plan function for blackwell fmha by @yzh119 in #1106
• doc: fix LogitsPipe example by @xslingcn in #1110
• bugfix: bugfix for blackwell mla split-k by @yzh119 in #1109
• Add CUTLASS fused moe kernels from TensorRT-LLM. by @wenscarl in #1113
• fix: initialize lamport buffer only once after creating new workspace by @yyihuang in #1111
• hotfix: fix the blackwell fmha stream by @yzh119 in #1116
• fix head_dim not defined if sm_scale is not None by @majian4work in #1119
• doc: add Ask-AI widget by @xslingcn in #1121
• bugfix: Fix test and output shape of fp4 quantize by @wenscarl in #1114
• misc: update slack link by @yzh119 in #1120
• release: bump version to v0.2.6 by @yzh119 in #1122

New Contributors

• @yongchaoding made their first contribution in #1008
• @Edenzzzz made their first contribution in #1009
• @dhy2000 made their first contribution in #1013
• @kaixih made their first contribution in #1031
• @yongwww made their first contribution in #1036
• @rickyfeng0119 made their first contribution in #1042
• @kf-zhang made their first contribution in #1035
• @arde171 made their first contribution in #1015
• @farnasirim made their first contribution in #1058
• @huydhn made their first contribution in #1063
• @acelyc111 made their first contribution in #1077
• @b8zhong made their first contribution in #1092
• @joker-eph made their first contribution in #1051
• @wenscarl made their first contribution in #1113
• @majian4work made their first contribution in #1119

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

v0.2.5

What's Changed

• Fix compilation with FP16_QK_REDUCTION enabled. by @diptorupd in #962
• misc: Use environment variable to control JIT verbose flag by @yzh119 in #981
• Triton rms_norm kernels by @nandor in #983
• Allow passing workspace base directory via environment variable by @jsuchome in #973
• [CHORE] Rename output_emitted_token_num -> output_emitted_draft_token_num by @jon-chuang in #977
• ci: switch to on-demand instances if spot instance is interrupted by @yzh119 in #987
• misc: update devcontainer by @yzh119 in #986
• ci: add torch 2.6+cu126 wheel by @yzh119 in #985
• misc: fix devcontainer conda path by @yzh119 in #989
• perf: prefetch page indices for mla kernel by @yzh119 in #991
• SM-constraint-GEMM by triton persistent kernel by @yyihuang in #982
• 3rdparty: upgrade cutlass to 3.9 by @yzh119 in #997
• perf: add -DNDEBUG compilation flag by @yzh119 in #998
• release: bump version to v0.2.5 by @yzh119 in #999

New Contributors

• @jsuchome made their first contribution in #973
• @jon-chuang made their first contribution in #977
• @yyihuang made their first contribution in #982

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

v0.2.4

What's Changed

• typo: fix pdl terminology by @yzh119 in #933
• Fix "specutate" typo by @markmc in #934
• typo: fix target_probs docs after uniform_samples removal by @markmc in #935
• typo: remove another uniform samples leftover by @markmc in #937
• Fix/precommit issues by @diptorupd in #931
• ci: setup Jenkins by @yzh119 in #874
• bugfix: fix include header name conflict by @yzh119 in #939
• fix: Fix MLA TVM binding for the latest changes by @MasterJH5574 in #940
• feat - support mla kvcache store by @baowendin in #888
• Add POD-Attention to FlashInfer by @AKKamath in #858
• bugfix: fix potential issues of FA3 template loading nans for PageAttention by @yzh119 in #945
• fix - fix bug when not relevant seq has nan data by @baowendin in #942
• misc: add ci-badge, update blog list by @yzh119 in #948
• bugfix: Fix missing PyModuleDef field initializers by @sampan26 in #946
• fix: fix pod-attention compilation time by @yzh119 in #954
• bugfix: bugfix to #949 by @yzh119 in #951
• misc: Temporarily disable POD from AOT wheels by @abcdabcd987 in #956
• ci: improve jenkins by @yzh119 in #943
• Fix compilation on cuda 12.2 by @goliaro in #961
• doc: remove misleading docstring about non_blocking by @yzh119 in #966
• perf: reduce torch.library dispatch overhead by @yzh119 in #968
• [TVM] Added tvm binding for sampling kernel by @annanyapr in #958
• perf: Fix python API overhead when CUDAGraph is not enabled by @yzh119 in #969
• Fix POD JIT bugs by @AKKamath in #971
• benchmark: add sampling.renorm benchmarks by @xslingcn in #970
• perf: dual pivot top-p/top-k renorm by @xslingcn in #974
• perf: Use 2WG pipeline design for MLA implementation on Hopper by @yzh119 in #952
• release: bump version to v0.2.4 by @yzh119 in #980

New Contributors

• @markmc made their first contribution in #934
• @diptorupd made their first contribution in #931
• @AKKamath made their first contribution in #858
• @sampan26 made their first contribution in #946
• @goliaro made their first contribution in #961
• @annanyapr made their first contribution in #958

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