v0.2.1

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

v0.2.0

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

v0.1.8

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

v0.1.7

What's Changed

• Generalize the cuda-bias test cases by replacing hardcoded "cuda" literal with the DEVICE variable by @EikanWang in #775
• Make progress bar prettier by @oulgen in #786
• Upgrade ruff==0.13.3 pyright==1.1.406 by @jansel in #790
• Add hl.split and hl.join by @jansel in #791
• Generalize test_print and test_tensor_descriptor to support different accelerators by @EikanWang in #801
• Limit rebench to 1000 iterations by @jansel in #789
• Turn down autotuner defaults by @jansel in #788
• Enable torch.xpu._XpuDeviceProperties in Helion kernel by @EikanWang in #798
• Better error message for augmented assignment (e.g. +=) on host tensor without subscript by @yf225 in #807
• Add Pattern Search autotuning algorithm to docs. by @choijon5 in #810
• Support 0dim tensor in output code printing by @oulgen in #806
• Set range_num_stages <= 1 if using tensor_descriptor, to avoid CUDA misaligned address error by @yf225 in #792
• Add hl.inline_triton API by @jansel in #811
• Add out_dtype arg to hl.dot by @jansel in #813
• Add autotune_config_overrides by @jansel in #814
• Reduce initial_population to 100 by @jansel in #800
• Disable range_num_stages for kernels with aliasing by @jansel in #812
• Adding new setting, autotune_max_generations, that allows user to set the maximum number of generations for autotuning by @choijon5 in #796
• Increase tolerance for test_matmul_reshape_m_2 by @jansel in #816
• Update docs by @jansel in #815
• Fix torch version check by @adam-smnk in #818
• [Benchmark] Keep going when a single benchmark fails by @oulgen in #820
• Faster Helion JSD by @PaulZhang12 in #733
• Faster KL Div by @PaulZhang12 in #822
• Normalize device name and decorate cuda-only test cases by @EikanWang in #819
• Improved log messages for autotuning by @choijon5 in #817
• Apply simplification to range indexing in order to reuse block size symbols by @yf225 in #809
• Fix hl.rand to use tile specific offsets instead of fixed offsets, ensure unique random num per tile by @karthickai in #685
• Match cuda versions for benchmark by @oulgen in #828
• Print nvidia-smi/rocminfo by @oulgen in #827
• Dump nvidia-smi/rocminfo on benchmarks by @oulgen in #829
• Add 3.14 support by @oulgen in #830
• Remove py312 vanilla test by @oulgen in #831
• Pad to next power of 2 for hl.specialize'ed shape value used in device tensor creation by @yf225 in #804
• Autotune eviction policy by @oulgen in #823
• [Docs] Consistent pre-commit/lint by @oulgen in #836
• [Docs] Recommend venv instead of conda by @oulgen in #837
• [Docs] Helion works on 3.10 through 3.14 by @oulgen in #838
• [Docs] Add eviction policy by @oulgen in #839
• Update to use the new attribute setting for tf32. by @choijon5 in #835

Full Changelog: v0.1.6...v0.1.7

v0.1.6

What's Changed

• ci: Always auth for benchmarking workflows by @seemethere in #719
• [Benchmark] jagged_sum kernel and test by @Sibylau in #676
• Skip default config printing if in ref eager mode by @yf225 in #721
• [Benchmark CI] Make benchmark runner respect custom CLI args by @yf225 in #723
• Upgrade rocm CI to 7.0 by @oulgen in #720
• Add eviction policy argument to tl.load by @oulgen in #714
• [CI] use complete rocm docker images by @oulgen in #724
• More inconsistent naming by @oulgen in #725
• [Benchmark] jagged_layer_norm kernel and test by @Sibylau in #704
• [Bug fix] Preserve masks on reduction inputs that depend on reduction outputs; fix layer_norm accuracy check failure by @yf225 in #722
• Support torch.matmul with 3D inputs by @yf225 in #715
• Slightly improve logs by @angelayi in #740
• Autotuning Progress Bar by @msaroufim in #739
• make tritonbench optional in run.py so install works again by @v0i0 in #746
• fix new factory when size comes from kwargs by @v0i0 in #750
• Add linting instructions to README by @msaroufim in #763
• Add backward kernel for exp by @aditvenk in #736
• fix roll reduction meta when for ops with none output (like wait), cl… by @v0i0 in #767
• Move upload benchmark results to a separate workflows by @huydhn in #758
• Add flash_attention to benchmarks by @oulgen in #769
• Fix jagged_layer_norm linter error by @yf225 in #770
• Add SIGINT handler for clean interrupt of autotuning background processes by @msaroufim in #766
• Enable tensor descriptor for XPU by @EikanWang in #765
• Fix the issue that the XPU kernels cannot be cached well by @EikanWang in #761
• Print Helion kernel source line in symbolic shape debugging by @yf225 in #771
• ci: Set fail-fast to false by @seemethere in #776
• Add XPU support for RNG operations by @EikanWang in #774
• Enable test_dot for XPU by @EikanWang in #773
• Handle XPU compilation error by @adam-smnk in #779
• Fix type prop for and/or by @oulgen in #781
• Make print output code more robust by @oulgen in #780
• Revert "Add SIGINT handler for clean interrupt of autotuning background processes" by @oulgen in #784
• Add torch compile unit test to helion by @oulgen in #782

New Contributors

• @seemethere made their first contribution in #719
• @angelayi made their first contribution in #740
• @msaroufim made their first contribution in #739
• @aditvenk made their first contribution in #736
• @EikanWang made their first contribution in #765
• @adam-smnk made their first contribution in #779

Full Changelog: v0.1.5...v0.1.6

v0.1.5

What's Changed

• [Benchmark CI] Print config that causes tritonbench accuracy check failure by @yf225 in #716
• Add AMD to benchmarks by @oulgen in #717
• [Docs] Move docs requirements to docs/requirements.txt to make compatible with pypi by @oulgen in #718

Full Changelog: v0.1.4...v0.1.5

v0.1.4

What's Changed

• Update benchmark.yml by @oulgen in #570
• Update benchmark.yml by @oulgen in #571
• [Benchmark] Use custom kernel metric mappings list to accomodate for inconsistent namings by @oulgen in #567
• Add rms norm and cross entropy by @oulgen in #568
• Update benchmark_dispatch.yml by @oulgen in #573
• Update linters by @oulgen in #569
• Print config for PassManager::run triton errors by @jansel in #565
• Error when invalid loop reduction number config is generated by @oulgen in #572
• Add skipIfLowVRAM or use_default_config=False to specific unit tests to enable local testing by @yf225 in #574
• Fix bug with block_size smaller than minimum by @jansel in #575
• Better shape errors for mismatched tile sizes by @jansel in #566
• Print warning if block_size is specified in interpret mode. by @choijon5 in #576
• Run all shapes for benchmarks by @oulgen in #578
• [Benchmarks] Cooldown the GPU before recording results by @oulgen in #579
• [Benchmark] Fix layer_norm accuracy issue by @yf225 in #580
• [Benchmark] Remove hardcoded num_inputs for rms_norm kernel by @yf225 in #581
• Do not benchmark twice by @oulgen in #583
• Add missing functions to docs by @jansel in #586
• hl.atomic_add: support 1D tensor as index by @yf225 in #587
• Add atomic and/or/min/max/cas/xchg by @jansel in #589
• Add test shard with HELION_DEBUG_DTYPE_ASSERTS=1, only run one ref-eager shard by @jansel in #590
• Add link to github to docs by @jansel in #591
• Support layernorm without bias by @mengluy0125 in #585
• Allow passing tritonbench operator instance into kernel benchmark wrapper; Always return lambda for timing measurement by @yf225 in #596
• Add layer_norm backward kernels by @yf225 in #588
• Fix tf32 warning by @jansel in #592
• [Benchmark] geglu example and test by @Sibylau in #582
• Print default config when running with it by @oulgen in #599
• [Benchmark] swiglu example and test by @Sibylau in #584
• Login to Docker from the workflows by @huydhn in #601
• Add rms_norm backward kernels by @mengluy0125 in #597
• Revert "Login to Docker from the workflows" by @oulgen in #604
• Fix static shape typo by @oulgen in #609
• Add small dim size (<16) support to hl.dot and torch.addmm; Always prefer using tl.dot(acc=...) for addmm / baddbmm by @yf225 in #564
• Fix rms_norm and layer_norm by @mengluy0125 in #603
• [Benchmark] jsd kernel and test by @Sibylau in #611
• Refactor autotune error handling by @jansel in #595
• Possible fix for CI failures by @jansel in #617
• [Benchmark] Welford kernel and example by @karthickai in #614
• [Benchmark] kl_div kernel and test by @Sibylau in #615
• Ignore TServiceRouterException errors while autotuning by @jansel in #618
• [Example] int4_gemm kernel example and tritonbench integration by @yf225 in #613
• Set requires_grad=True for rms_norm backward inputs by @yf225 in #629
• Adjust tolerance for test_rms_norm_bwd_dx by @yf225 in #628
• Add more kernels to benchmarking by @oulgen in #632
• Reorder benchmarks by @oulgen in #633
• [Ref Mode] Fix hl.store for complex mask pattern by @yf225 in #621
• Support using block size var outside of hl.tile loop by @yf225 in #619
• [Benchmark CI] Print input shapes and surface problematic Helion config by @yf225 in #626
• Fix ValueError: numel (2097152) exceeds triton maximum tensor numel (1048576) by @mengluy0125 in #625
• Always clear inductor cache before benchmark by @yf225 in #608
• Make hl.specialize work on sequences by @jansel in #636
• Better error for passing Tile to hl.tile by @jansel in #640
• [Example] grouped_gemm kernel example and tritonbench integration by @yf225 in #620
• int4_gemm: remove use_default_config=True by @yf225 in #639
• [Easy][Benchmark CI] Exit job on any exception, for easier error catching by @yf225 in #643
• Avoid skipping CUDA errors that crashes the CUDA context by @yf225 in #645
• Add HELION_AUTOTUNE_RANDOM_SEED env var and autotune_random_seed setting by @yf225 in #644
• Bump linter by @oulgen in #647
• Skip test_autotune_random_seed_from_env_var on rocm by @oulgen in #648
• Fix lint related to welford and also local_cache by @yf225 in #646
• Skip test_autotune_random_seed_from_settings on rocm by @yf225 in #651
• PT Sphinx Theme Test by @sekyondaMeta in #600
• Print static_shapes settings value along with config for accurate repro by @yf225 in #649
• [Benchmark] gather_gemv kernel and test by @Sibylau in #635
• Add HELION_SKIP_CACHE env by @jansel in #653
• [lint] Remove UP038 reference by @jansel in #650
• Fix register_block_size codegen by @yf225 in #659
• Raise better error when hl.atomic_* is used on device tensor by @yf225 in #658
• [Autotune] Filter bad config with accuracy check by @yf225 in #655
• Add hl.rand op with seed arg lowering to tl.rand by @karthickai in #652
• Log autotune random seed for easier repro by @yf225 in #661
• Fix misaligned address error for matmul by @yf225 in #662
• skip gather_gemv code check for B200 and fb_code by @Sibylau in #666
• rms_norm: get weight from function args by @yf225 in #664
• skip full autotune if configs are provided by @xuanzhang816 in #670
• [example] fused_linear_jsd by @v0i0 in #494
• Fix CI by moving B200 to cuda13 and downgrade a100/h100 to cuda12.8 by @oulgen in #674
• No background image by @sekyondaMeta in #663
• Remove github link from index.md by @oulgen in #675
• [Autotune] Allow skipping Triton compilation error by @yf225 in #679
• [Benchmark CI] Run one kernel per gpu to maximize successful kernel reporting by @yf225 in #681
• Fix missing block size constexpr assignment in host code by @yf225 in #678
• [CI] Fix missing setuptools by @yf225 in #680
• faster rms norm backwards kernel by @v0i0 in #624
• [Benchmark CI] Use do_bench cudagraph to avoid profiler failure; select specific kernel impls to run by @yf225 in #682
• [Benchmark CI] use --op instead of --kernel for better tritonbench compat by @yf225 in #694
• Increase tolerance for _validate_against_baseline by @jansel in #691
• [Benchmark CI] Use equally-spaced K input shapes by @yf225 in #689
• Print bad default config if compute baseline fails by @yf225 in #688
• Support HELION_AUTOTUNE_ACCURACY_CHECK=0 by @jansel in #692
• rms norm: improve fwd perf by @v0i0 in #669
• Revert "Add hl.rand op with seed arg lowering to tl.rand (#652)" by @jansel in #698
• [Autotune] Skip Triton shared memory OOM by @yf225 in https://git...

v0.1.3

What's Changed

• Add torch compile to benchmark by @oulgen in #545
• Fix issues with wrong dtypes in generated code by @jansel in #542
• Limit concurrent precompile jobs while autotuning by @jansel in #543
• Create basic helion benchmark runner by @oulgen in #544
• Add multi selection radio buttons by @oulgen in #547
• Fix benchmark condition by @oulgen in #548
• Move to dispatcher model for benchmarking by @oulgen in #549
• Give permissions by @oulgen in #550
• Do not downgrade torch/triton by @oulgen in #551
• Use uv for pip freeze by @oulgen in #552
• Add jagged hstu attention example (i.e. ragged_attention) by @xuanzhang816 in #554
• Install quack/torchbench with no deps by @oulgen in #553
• Update test-reports dir by @oulgen in #556
• torch.rand_like and torch.randn_like support by @yf225 in #530
• [Benchmark] add addmm example and test by @Sibylau in #555
• Kick off benchmarks at midnight by @oulgen in #559
• Use profiler instead of inductor_benchmarker by @oulgen in #560
• Shard kernels by @oulgen in #561
• Add layer_norm and softmax by @oulgen in #562
• [Fix CI] Convert tiles to sizes for all torch.* functions by @yf225 in #563

Full Changelog: v0.1.2...v0.1.3

v0.1.2

What's Changed

• Support symbolic range with multiples of block-size as length by @yf225 in #509
• Handle new return type of triton's JITFunction.create_binder(). by @gueraf in #517
• Lower symbolic slices to hl.arange by @yf225 in #518
• Add call function to triton output for easier repros by @oulgen in #514
• Prevent naming conflicts in expr_from_string placeholder replacement by @yf225 in #519
• Display error message when too many arguments are passed by @oulgen in #526
• Fix missing min block size for hl.dot by @jansel in #522
• Swap from gcc13 to clang14 by @oulgen in #537
• Pass int arg instead of dummy tensor into example kernels by @yf225 in #538
• Fix local runs for test_triton_repro tests by @yf225 in #539
• Update expected test results by @oulgen in #541
• Prepare benchmark runner for running on CI by @oulgen in #534
• Error message for kernel without device loop by @jansel in #531
• Upgrade ruff/pyright by @jansel in #532
• Allow dynamic fill values in full by @jansel in #533
• Add torch.stack support by @yf225 in #524
• Fixes #447: throw an error when printing output code in eager mode by @Sibylau in #528

New Contributors

• @gueraf made their first contribution in #517
• @Sibylau made their first contribution in #528

Full Changelog: v0.1.1...v0.1.2

v0.1.1

What's Changed

• [Benchmark] Avoid using _run in TritonBench integration by @yf225 in #444
• Add H100 CI by @oulgen in #435
• Add B200 CI by @oulgen in #436
• Skip illegal memory access for autotuning by @oulgen in #453
• Re-enable associative_scan tests in ref eager mode by @yf225 in #443
• Fix tritonbench integration issue by @yf225 in #463
• [Benchmark] Allow passing kwargs; Set static_shape = True for better benchmark perf by @yf225 in #465
• [Example] One shot all reduce by @joydddd in #245
• Fix lint by @oulgen in #469
• Improve signal/wait doc by @joydddd in #478
• Cleanup ci by @oulgen in #449
• Run CI on mi325x by @oulgen in #441
• Improve Stacktensor Doc by @joydddd in #479
• Require tests to be faster than 30s by @oulgen in #471
• Improve error message when no good config is found by @oulgen in #455
• Add SequenceType Eq comparison by @oulgen in #482
• [Benchmark] Add try-catch for tritonbench import path by @yf225 in #487
• Add helion prefix to Triton kernel name by @yf225 in #486
• Support GraphModule inputs by @jansel in #488
• Improve stack trace for #457 by @jansel in #489
• [EZ] Replace pytorch-labs with meta-pytorch by @ZainRizvi in #490
• [generate_ast] providing AST args, and fall back to api._codegen when output is a tuple by @HanGuo97 in #481
• Support reshape with block_size expressions by @yf225 in #495
• [example] add jagged_softmax example by @pianpwk in #480
• Fix handling of fixed size reductions by @jansel in #499
• Improve error message for rank mismatch in control flow by @jansel in #502
• Fix reshape + sum case by @yf225 in #504
• Sort config keys alphabetically in __str__ by @yf225 in #505
• Fix issue with fp64 constants by @jansel in #506

New Contributors

• @ZainRizvi made their first contribution in #490
• @HanGuo97 made their first contribution in #481
• @pianpwk made their first contribution in #480

Full Changelog: v0.1.0...v0.1.1