# Introduction The TVM community has worked since the v0.12.0 release to deliver the following new exciting improvements! The main tags are below (**bold text is with lots of progress**):
- Community, RFC; - Frontend: TensorFlow/TFLite, Pytorch/Torch, Paddle, keras; - Runtime: Adreno, OpenCL & CLML, ROCm, CUDA & CUTLASS & TensorRT, Ethosn, Vulkan, Hexagon, Metal, others about runtime; - Relay, BYOC, TOPI, Arith, **TIR, TVMScript, MetaSchedule**; - microTVM, AOT, TVMC, LLVM; - CI, BugFix, Docs, Docker, Miscs; Please visit the full listing of commits for a complete view: [v0.12.0...v0.13.0](https://github.com/apache/tvm/compare/v0.12.0...v0.13.0). ### Community * [#15086](https://github.com/apache/tvm/pull/15086) - Aleksei-grovety -> Reviewer * [#14676](https://github.com/apache/tvm/pull/14676) - Jiajun Jiang -> Reviewer * [#14677](https://github.com/apache/tvm/pull/14677) - Qiang Zhang -> Reviewer * [#14622](https://github.com/apache/tvm/pull/14622) - Sunghyun Park -> Reviewer * [#14578](https://github.com/apache/tvm/pull/14578) - Zihao Ye -> Committer * [#14853](https://github.com/apache/tvm/pull/14853) - Anirudh Sundar Subramaniam -> Committer * [#14772](https://github.com/apache/tvm/pull/14772) - Add new key for release signing ### RFC * https://github.com/apache/tvm-rfcs/pull/100 ---- ### Frontend * [#14830](https://github.com/apache/tvm/pull/14830) - Use f-strings for string formatting, NFC * Keras * [#15122](https://github.com/apache/tvm/pull/15122) - [Relay][Keras] Fix SeparableConv2D conversion in dilation_rate attribute * [#15107](https://github.com/apache/tvm/pull/15107) - [Relay][Keras] Fix a wrong variable name in keras frontend * [#15053](https://github.com/apache/tvm/pull/15053) - [Relay][Keras] Fix the wrong implementation logic about cropping2D * [#15082](https://github.com/apache/tvm/pull/15082) - [Relay][Keras] Fix UpSampling2D about the wrong assertion about size * [#15060](https://github.com/apache/tvm/pull/15060) - [Relay][keras] Fix the bug about the attribute 'output_padding' in Deconv * [#14707](https://github.com/apache/tvm/pull/14707) - [Keras]fix a bug about alpha attribute in LeakyReLU which lead to passes conflict * [#15175](https://github.com/apache/tvm/pull/15175) - [Relay][Keras] Fix concatenate convert function in axis parsing * Paddle * [#14801](https://github.com/apache/tvm/pull/14801) - [Paddle] [PaddlePaddle Hackathon 4]add attribute support for gaussian_random/softplus/Conv3d/Conv2d * [#14973](https://github.com/apache/tvm/pull/14973) - [Paddle] [PaddlePaddle Hackathon 4] add convert support for tanhshrink/pool3d/set_value ops for paddle frontend * [#14826](https://github.com/apache/tvm/pull/14826) - [Paddle] [PaddlePaddle Hackathon 4] add convert support for p_norm/roi_align/softmax_with_cross_entropy * [#14575](https://github.com/apache/tvm/pull/14575) - [Paddle] [PaddlePaddle Hackathon 4]add attribute support for dropout/hard_sigmoid/pixel_shuffle * TFLite * [#14667](https://github.com/apache/tvm/pull/14667) - [TFLite]Support for quantized squared difference * [#14819](https://github.com/apache/tvm/pull/14819) - [TFLite]Generate name when tensor name is missing * [#15173](https://github.com/apache/tvm/pull/15173) - [FRONTEND][TFLITE]Fix int16 transpose conv loading * TensorFlow * [#14546](https://github.com/apache/tvm/pull/14546) - [Tensorflow] Fix conv2d_transpose for NHWC layout * PyTorch * [#14747](https://github.com/apache/tvm/pull/14747) - [PyTorch] Add aten::new_zeros * [#14699](https://github.com/apache/tvm/pull/14699) - [Torch] fix typo in new_full * [#14963](https://github.com/apache/tvm/pull/14963) - [PyTorch] Support use_input_stats in instance_norm * [#14930](https://github.com/apache/tvm/pull/14930) - Fix pytorch axis * ONNX * [#15017](https://github.com/apache/tvm/pull/15017) - [ONNX] Fix bug in scatter_elements ### Runtime * [#15182](https://github.com/apache/tvm/pull/15182) - Add weak symbol to builtin fp16 * [#15161](https://github.com/apache/tvm/pull/15161) - Clean TVM stacktrace in error messages * [#15162](https://github.com/apache/tvm/pull/15162) - Support void as dtype in FFI * [#14902](https://github.com/apache/tvm/pull/14902) - Update Module and Registry to use String Container * [#14967](https://github.com/apache/tvm/pull/14967) - [Runtime,RPC] Use f-strings for string formatting, NFC * [#14887](https://github.com/apache/tvm/pull/14887) - Make systemlib unique per prefix * [#14775](https://github.com/apache/tvm/pull/14775) - Added __str__ for tvm._ffi.runtime_ctypes.TVMArray * [#14656](https://github.com/apache/tvm/pull/14656) - Fix Can't "query_imports" Bug of VM Executable ### Adreno * [#15061](https://github.com/apache/tvm/pull/15061) - [TOPI]Fix problem with ceil_log2 * [#14996](https://github.com/apache/tvm/pull/14996) - [OpenCL]Fix conv2d when output channels < 4 ### CMSIS-NN * [#15059](https://github.com/apache/tvm/pull/15059) - Update CMSIS-NN release to v4.1.0 ### OpenCL & CLML * [#14972](https://github.com/apache/tvm/pull/14972) - [OPENCL] Always use convert_T for type conversion * [#14995](https://github.com/apache/tvm/pull/14995) - [OpenCL] Improve diagnostic message * [#14833](https://github.com/apache/tvm/pull/14833) - [Codegen][OpenCL] fix amibiguous selection operator call * [#14792](https://github.com/apache/tvm/pull/14792) - [OpenCL] Refactor OpenCL runtime to support SPIRV binary ingestion * [#14922](https://github.com/apache/tvm/pull/14922) - [OpenCLML] Reactor and introduce on chip memory and memory planner * [#14949](https://github.com/apache/tvm/pull/14949) - [CodegenC] Updated unit test for sorted CodegenC output * [#14767](https://github.com/apache/tvm/pull/14767) - [OpenCLML] Transposed convolution support and other fixes ### cuda & cutlass & tensorrt * [#14751](https://github.com/apache/tvm/pull/14751) - [CUDA] Fixed the call of the min function in the schedule for cuda * [#14798](https://github.com/apache/tvm/pull/14798) - [CUTLASS] Add NDEBUG option to CUTLASS compile to speed up attention kernel * [#14782](https://github.com/apache/tvm/pull/14782) - [Bugfix][Codegen][CUDA] Wrong casting in ASM ### metal * [#14962](https://github.com/apache/tvm/pull/14962) - Fix int8 vectorized cast * [#14846](https://github.com/apache/tvm/pull/14846) - Fix vectorized select * [#14727](https://github.com/apache/tvm/pull/14727) - Update metal runtime to directly store kernel map * [#14671](https://github.com/apache/tvm/pull/14671) - Fix flaky memory issue due to racing ### Vulkan * [#15035](https://github.com/apache/tvm/pull/15035) - [Vulkan] Allow DeclBuffer in CodeGenSPIRV * [#14817](https://github.com/apache/tvm/pull/14817) - [Vulkan] Add cooperative matrix support ### Hexagon * [#14997](https://github.com/apache/tvm/pull/14997) - Remove "c" as aot_host_target tvm/contrib/hexagon/pytest_pl… * [#14948](https://github.com/apache/tvm/pull/14948) - Update instructions to compile hexagon runtime * [#14965](https://github.com/apache/tvm/pull/14965) - Add support for v73, make v68 default * [#14720](https://github.com/apache/tvm/pull/14720) - [TIR] Add get_vtcm_allocation_sizes with lowering * [#14567](https://github.com/apache/tvm/pull/14567) - [TIR] Use the "target" value in T.func_attr for VTCM limit ### ROCm * [#15106](https://github.com/apache/tvm/pull/15106) - [TensorIR]AMD Matrix Core Support * [#15088](https://github.com/apache/tvm/pull/15088) - [Target]Replace rocm arch parsing from int to string ### microTVM * [#14872](https://github.com/apache/tvm/pull/14872) - Use self.close_transport() on error ### AOT * [#15033](https://github.com/apache/tvm/pull/15033) - Avoid Var-to-Var Let binding in AOTExecutorCodegen * [#15032](https://github.com/apache/tvm/pull/15032) - Remove duplication in tvm.testing.aot.compile_models * [#14529](https://github.com/apache/tvm/pull/14529) - Fix warning on dropping const in TVMAotExecutor_GetInputName ### micoNPU * [#15159](https://github.com/apache/tvm/pull/15159) - [microNPU][ETHOSU] Fix compiler attributes types * [#15147](https://github.com/apache/tvm/pull/15147) - [microNPU][ETHOSU] Add option to disable copying constants for case without cascader * [#15069](https://github.com/apache/tvm/pull/15069) - [microNPU][ETHOSU] Fix SoftMax legalization parameters * [#15115](https://github.com/apache/tvm/pull/15115) - [microNPU][ETHOSU] Upgrade to 23.05 version of Arm(R) Ethos(TM)-U NPU drivers * [#15114](https://github.com/apache/tvm/pull/15114) - [microNPU] Upgrade Vela to v3.8.0 * [#15104](https://github.com/apache/tvm/pull/15104) - [microNPU][ETHOSU] Fix minimum buffer size * [#15063](https://github.com/apache/tvm/pull/15063) - [microNPU][ETHOSU] Fix CopyComputeReordering pass arguments * [#14861](https://github.com/apache/tvm/pull/14861) - [microNPU][ETHOSU] Add offloading to the NPU the nn.avg_pool2d operator with a stride > 3 * [#14765](https://github.com/apache/tvm/pull/14765) - [microNPU][ETHOSU] Channel pad offloaded to NPU * [#14774](https://github.com/apache/tvm/pull/14774) - [microNPU][ETHOSU] Fix Softmax quantization parameters * [#14629](https://github.com/apache/tvm/pull/14629) - [microNPU][ETHOSU] Softmax int8 legalization support * [#14353](https://github.com/apache/tvm/pull/14353) - [microNPU] Add support for MEAN with uint8 ifm * [#14587](https://github.com/apache/tvm/pull/14587) - [microNPU] Fix skip tests when Vela is not present * [#14464](https://github.com/apache/tvm/pull/14464) - [microNPU][ETHOSU] Add restrictions to convert to NHCWB16 layout in LayoutOptimization pass ### BYOC * [#15046](https://github.com/apache/tvm/pull/15046) - Add GEMM kernel from FasterTransformer as submodule * [#15029](https://github.com/apache/tvm/pull/15029) - Hide internal cutlass symbols ### Relay * [#15068](https://github.com/apache/tvm/pull/15068) - Improve the "clip" op optimization in simplify expr pass * [#14925](https://github.com/apache/tvm/pull/14925) - add a dimension check to reject invalid input * [#14858](https://github.com/apache/tvm/pull/14858) - [simplify_expr]: Add pass to remove trivial transpose ops * [#14838](https://github.com/apache/tvm/pull/14838) - Use f-strings for string formatting, NFC * [#14831](https://github.com/apache/tvm/pull/14831) - [Relay/Op] Use f-strings for string formatting, NFC * [#14580](https://github.com/apache/tvm/pull/14580) - Simplify the square of a binomial * [#14735](https://github.com/apache/tvm/pull/14735) - Handle pad value coming from Tensor instead of scalar * [#14601](https://github.com/apache/tvm/pull/14601) - Enhance type infer for dynamic shape * [#14885](https://github.com/apache/tvm/pull/14885) - [Relay] fix broadcast in PyTorch frontend * [#15090](https://github.com/apache/tvm/pull/15090) - [Relay] Insertion of "device_copy" CallNode to Resolve Device Conflict on Unconstrained Nodes * [#14845](https://github.com/apache/tvm/pull/14845) - [Relay] Fix softplus in paddlepaddle frontend * [#14837](https://github.com/apache/tvm/pull/14837) - [Relay] Fix AdaptiveAvgPool2d about wrong dtype prasing * [#14821](https://github.com/apache/tvm/pull/14821) - [Relay] Fix softplus about the wrong calculation formula in Relay PyTorch frontend * [#14820](https://github.com/apache/tvm/pull/14820) - [Relay] Fix threshold calculation logic in PyTorch frontend * [#14824](https://github.com/apache/tvm/pull/14824) - [Relay] fix a bug about ReLu in the threshold attribute which causes a different results with keras * [#14796](https://github.com/apache/tvm/pull/14796) - [relay] fix wrong calculate logic about celu * [#14773](https://github.com/apache/tvm/pull/14773) - [Relay] fix `scatter_nd` type relation * [#14742](https://github.com/apache/tvm/pull/14742) - [relay] Fix alpha attribute with None in ELU * [#14740](https://github.com/apache/tvm/pull/14740) - [Relay] Fix stride in LpPool for default * [#14556](https://github.com/apache/tvm/pull/14556) - [Relay] fix a bug caused by IncompleteTypeNode in EinsumRel while doing MergeComposite * [#15057](https://github.com/apache/tvm/pull/15057) - [QNN] Implement quantized avg_pool2d * [#14536](https://github.com/apache/tvm/pull/14536) - [QNN] Implement 'qnn.softmax' * [#14875](https://github.com/apache/tvm/pull/14875) - [Quantization]: Update simulated_quantize to infer correct layout ### TOPI * [#15018](https://github.com/apache/tvm/pull/15018) - Fix dynamic dimensions support for Dense on TOPI side * [#14856](https://github.com/apache/tvm/pull/14856) - Fix in interpretation of empty axis parameter in reduction fun… * [#14483](https://github.com/apache/tvm/pull/14483) - [Target] Add SVE specific convolution * [#14839](https://github.com/apache/tvm/pull/14839) - Use f-strings for string formatting, NFC * [#14822](https://github.com/apache/tvm/pull/14822) - Use f-strings for string formatting, NFC * [#14519](https://github.com/apache/tvm/pull/14519) - Vectorize depthwise conv2d output operator * [#14549](https://github.com/apache/tvm/pull/14549) - remove the i32 cast for output shape of pool * [#14566](https://github.com/apache/tvm/pull/14566) - [Topi] Output strides in pack_buffer() utility ### Arith * [#15131](https://github.com/apache/tvm/pull/15131) - Hotfix flaky test in padded matmul * [#15120](https://github.com/apache/tvm/pull/15120) - NormalizeToIterSum * [#15081](https://github.com/apache/tvm/pull/15081) - Improve arith simplify to handle symbolic reshape pattern * [#14532](https://github.com/apache/tvm/pull/14532) - Implement statistics counters for RewriteSimplifier * [#14704](https://github.com/apache/tvm/pull/14704) - [cherry-pick][BUGFIX] Fix a bug of iter map floormod(x,2) simplify * [#14849](https://github.com/apache/tvm/pull/14849) - [TVMScript] Capture fails if var appears only in annotation * [#14596](https://github.com/apache/tvm/pull/14596) - [TensorIR] Improve CompactBufferRegion for symbolic shape * [#15129](https://github.com/apache/tvm/pull/15129) - [TIR] Recognize empty extents * [#14982](https://github.com/apache/tvm/pull/14982) - [TIR][VTA] Update host-side target, even without device func * [#14547](https://github.com/apache/tvm/pull/14547) - Enhance IterMapSimplify for symbolic * [#14571](https://github.com/apache/tvm/pull/14571) - [BUGFIX] Fix a bug of iter map floormod(x,2) simplify * [#14582](https://github.com/apache/tvm/pull/14582) - Fix solve inequality of unbound var ranges * [#14538](https://github.com/apache/tvm/pull/14538) - Enhance CanonicalSimplify to Simplify ProdDiv ### MetaSchedule * [#14781](https://github.com/apache/tvm/pull/14781) - [MetaSchedule] RPC port needs to be an integer * [#14673](https://github.com/apache/tvm/pull/14673) - Introduce MMA Tensor Core Multilevel Tiling * [#14784](https://github.com/apache/tvm/pull/14784) - Enhance `tune_tir` to tune IRModule of TIR Collections * [#14783](https://github.com/apache/tvm/pull/14783) - Add an API to dump a pruned database * [#14785](https://github.com/apache/tvm/pull/14785) - Clear screen only when specified * [#14654](https://github.com/apache/tvm/pull/14654) - Handle output cases for InlineConstantScalars * [#14642](https://github.com/apache/tvm/pull/14642) - PostProc not rewriting unroll for purely spatial block * [#14591](https://github.com/apache/tvm/pull/14591) - Handle cases when no features found by FeatureExtractor * [#14584](https://github.com/apache/tvm/pull/14584) - [ARM] Beautification of the function names ### TIR * [#15153](https://github.com/apache/tvm/pull/15153) - [TensorIR][Visitor] Visit buffer members in `match_buffer`'s in block visitor functions * [#15168](https://github.com/apache/tvm/pull/15168) - [Schedule] Support padding-by-factor in PadEinsum * [#15165](https://github.com/apache/tvm/pull/15165) - Expose UndefinedVars to Python * [#15163](https://github.com/apache/tvm/pull/15163) - Fix RenewDef for symbolic input shapes * [#15142](https://github.com/apache/tvm/pull/15142) - [Schedule] Enhance `compute-inline` for fusion * [#15150](https://github.com/apache/tvm/pull/15150) - Fix typo in code example * [#15144](https://github.com/apache/tvm/pull/15144) - [TensorIR][Schedule] New schedule primitive `unsafe_hide_buffer_access` * [#15146](https://github.com/apache/tvm/pull/15146) - Block dependence analysis without schedules * [#15119](https://github.com/apache/tvm/pull/15119) - Avoid duplicate GlobalVar names in SplitHostDevice * [#15037](https://github.com/apache/tvm/pull/15037) - Handle DeclBuffer in CacheReadWrite schedule primitive * [#15098](https://github.com/apache/tvm/pull/15098) - [Ethos-U]Handle DeclBuffer in Ethos-U inputs * [#15044](https://github.com/apache/tvm/pull/15044) - [USMP] Preserve DeclBuffer in PoolAllocationToOffsetConverter * [#15078](https://github.com/apache/tvm/pull/15078) - Handle DeclBuffer in LowerThreadAllreduce * [#15094](https://github.com/apache/tvm/pull/15094) - Handle DeclBuffer in MergeDynamicSharedMemoryAllocations * [#15093](https://github.com/apache/tvm/pull/15093) - Handle DeclBuffer in StorageAccessInfoLower * [#15045](https://github.com/apache/tvm/pull/15045) - Handle DeclBuffer in InjectDoubleBuffer * [#15096](https://github.com/apache/tvm/pull/15096) - Handle DeclBuffer in RemoveNoOp * [#15076](https://github.com/apache/tvm/pull/15076) - [CodeGen] Define PackedFunc error code in MakePackedAPI * [#15102](https://github.com/apache/tvm/pull/15102) - Update primfunc host attachment to include host * [#14854](https://github.com/apache/tvm/pull/14854) - [Compute-at] Enable complex floordiv/floormod expressions in compute_at * [#15041](https://github.com/apache/tvm/pull/15041) - Handle DeclBuffer in LowerCustomDatatypes * [#15038](https://github.com/apache/tvm/pull/15038) - Handle DeclBuffer in Inline/ComputeAt/ReverseComputeAt * [#15052](https://github.com/apache/tvm/pull/15052) - [Analysis] Handle DeclBuffer in FlopEstimator * [#15051](https://github.com/apache/tvm/pull/15051) - Handle DeclBuffer in StorageRewrite * [#15050](https://github.com/apache/tvm/pull/15050) - [Schedule] Fix decompose_padding bug with dtypes * [#15034](https://github.com/apache/tvm/pull/15034) - Refactor BlockScope outside schedule * [#15054](https://github.com/apache/tvm/pull/15054) - Handle DeclBuffer in IRSubstitute * [#14986](https://github.com/apache/tvm/pull/14986) - Move SplitHostDevice to before MakePackedAPI * [#15042](https://github.com/apache/tvm/pull/15042) - Handle DeclBuffer in StorageFlatten's input * [#15040](https://github.com/apache/tvm/pull/15040) - Preserve object equality in Buffer::GetFlattenedBuffer * [#14693](https://github.com/apache/tvm/pull/14693) - Enhance TVMScript Buffer Slice Access * [#14988](https://github.com/apache/tvm/pull/14988) - Handle callees on same target, different codegen * [#14951](https://github.com/apache/tvm/pull/14951) - Keep trivial LetStmt in tir.Simplify when used in buffer decl * [#14944](https://github.com/apache/tvm/pull/14944) - Restrict tir.transform.LowerTVMBuiltin to host functions * [#14990](https://github.com/apache/tvm/pull/14990) - [IR,TE,TIR] Use f-strings for string formatting, NFC * [#14993](https://github.com/apache/tvm/pull/14993) - Fix incorrect construction of block frames * [#14952](https://github.com/apache/tvm/pull/14952) - Avoid re-defining `var = arg_var` in ArgBinder * [#14918](https://github.com/apache/tvm/pull/14918) - SplitHostDevice, handle subroutines * [#14943](https://github.com/apache/tvm/pull/14943) - Restrict tir.transform.InstallDebugSpans to host functions * [#14942](https://github.com/apache/tvm/pull/14942) - Preserve existing kTarget function attribute in BindTarget * [#14945](https://github.com/apache/tvm/pull/14945) - Restrict tir.transform.CombineContextCall to host functions * [#14914](https://github.com/apache/tvm/pull/14914) - Handle subroutine calls in MakeUnpackedAPI * [#14913](https://github.com/apache/tvm/pull/14913) - Handle subroutine calls in MakePackedAPI * [#14892](https://github.com/apache/tvm/pull/14892) - Expand unit tests for ConvertSSA * [#14866](https://github.com/apache/tvm/pull/14866) - Avoid too complex predicate in compaction * [#14766](https://github.com/apache/tvm/pull/14766) - [Schedule] Improve blockize to support blockizing multiple blocks * [#14776](https://github.com/apache/tvm/pull/14776) - Improved parameter name in DLTensor unpacking error messages * [#14562](https://github.com/apache/tvm/pull/14562) - [Driver] Move ShouldAnnotateEntryFunc logic into transform * [#14741](https://github.com/apache/tvm/pull/14741) - Keep block annotations from tensorization * [#14021](https://github.com/apache/tvm/pull/14021) - More flexible buffer compaction * [#14711](https://github.com/apache/tvm/pull/14711) - [Analysis] Calculate allocated memory at module level * [#14492](https://github.com/apache/tvm/pull/14492) - Flatten SeqStmt on construction * [#14598](https://github.com/apache/tvm/pull/14598) - Add CUDA int4 tensor core intrinsics * [#14593](https://github.com/apache/tvm/pull/14593) - [Schedule] Method returning the function being worked on * [#14592](https://github.com/apache/tvm/pull/14592) - [TensorIR] Fix ComputeAt with perfect symbolic bound * [#14491](https://github.com/apache/tvm/pull/14491) - Use String instead of StringImm for AttrStmtNode::node * [#14626](https://github.com/apache/tvm/pull/14626) - [TensorIR]`reindex_cache_write` do not mutate init statement * [#14588](https://github.com/apache/tvm/pull/14588) - [Fix][TIR] UnifyThreadBinding creating unit loop with annotation * [#14589](https://github.com/apache/tvm/pull/14589) - [Fix][TIR][Analysis] Reduction block checking alloc_buffers ### TVMScript * [#15083](https://github.com/apache/tvm/pull/15083) - Avoid visiting repetition tensor in SetCommonPrefix Visitor * [#15091](https://github.com/apache/tvm/pull/15091) - [TIR]Convert tir.op operands to PrimExpr * [#14919](https://github.com/apache/tvm/pull/14919) - [TIR] Parse subroutine calls with no arguments * [#14941](https://github.com/apache/tvm/pull/14941) - Prevent bool to int conversion in T.Assert condition * [#14915](https://github.com/apache/tvm/pull/14915) - Allow T.target("device", host="host") to specify host * [#14900](https://github.com/apache/tvm/pull/14900) - Round-trip DeclBuffer with undefined data pointer * [#14889](https://github.com/apache/tvm/pull/14889) - [TIR]Added format/parsing of subroutine calls * [#14874](https://github.com/apache/tvm/pull/14874) - Use default fallback for un-registered type * [#14840](https://github.com/apache/tvm/pull/14840) - Print Executor, Runtime, and FunctionInfo as metadata * [#14812](https://github.com/apache/tvm/pull/14812) - Handle AllocatedPoolInfo, ConstantPoolInfo, ConstantInfo * [#14786](https://github.com/apache/tvm/pull/14786) - Add `__name__` attr for parsed PrimFunc and IRModule * [#14531](https://github.com/apache/tvm/pull/14531) - Preserve LetStmt of constants * [#14488](https://github.com/apache/tvm/pull/14488) - Distinguish between void* and handle ### TVMC * [#14994](https://github.com/apache/tvm/pull/14994) - [Bugfix]Fix tvmc option for printing which operators are offloaded to the Ethos-U ### LLVM * [#15127](https://github.com/apache/tvm/pull/15127) - Remove the "ret_void" argument of AddFunction * [#15139](https://github.com/apache/tvm/pull/15139) - Minor refactor to LLVMModuleNode::SaveToFile * [#14958](https://github.com/apache/tvm/pull/14958) - [Codegen]Allow void return type from PackedFunc * [#14946](https://github.com/apache/tvm/pull/14946) - Expose Host CPU Feature Detection * [#14901](https://github.com/apache/tvm/pull/14901) - Codegen subroutine call when CallNode::op is GlobalVar * [#14570](https://github.com/apache/tvm/pull/14570) - Use Var annotation in LetStmt for pointer type * [#14843](https://github.com/apache/tvm/pull/14843) - [RUNTIME] Enable multi systemlib with device code * [#14564](https://github.com/apache/tvm/pull/14564) - Validate generated LLVM module before optimization * [#14568](https://github.com/apache/tvm/pull/14568) - Expand tvm::Type to DWARF conversion * [#14563](https://github.com/apache/tvm/pull/14563) - [Codegen]Remove cast to i8* in builtin::address_of ### BugFix * [#14960](https://github.com/apache/tvm/pull/14960) - [Bug] Add typing_extensions requirement again * [#15015](https://github.com/apache/tvm/pull/15015) - [Hotfix] Remove `LOG(INFO)` from unsupported dtype legalization pass * [#14991](https://github.com/apache/tvm/pull/14991) - Make ThreadAllReduce pass compatible with int64 * [#14950](https://github.com/apache/tvm/pull/14950) - Avoid symbol conflicts in MakePackedAPI/MakeUnpackedAPI * [#14903](https://github.com/apache/tvm/pull/14903) - [Test Cases]Add some version check to make test cases run in all PyTorch versions * [#14890](https://github.com/apache/tvm/pull/14890) - [Fix] Fix typo in error message * [#14879](https://github.com/apache/tvm/pull/14879) - fix the undeclared identifier 'f' * [#14857](https://github.com/apache/tvm/pull/14857) - Fix batch_norm * [#14787](https://github.com/apache/tvm/pull/14787) - [FIX] fix typo in comment ## CI * [#15179](https://github.com/apache/tvm/pull/15179) - [Testing] Utility method to run TVM on remote device * [#15138](https://github.com/apache/tvm/pull/15138) - [Test] Improve check for TVMError exception in test_cast * [#15062](https://github.com/apache/tvm/pull/15062) - Clone submodule recursively * [#15065](https://github.com/apache/tvm/pull/15065) - Revert "Make Graviton3 default AArch64 job runner node (#14983)" * [#14983](https://github.com/apache/tvm/pull/14983) - Make Graviton3 default AArch64 job runner node * [#15056](https://github.com/apache/tvm/pull/15056) - [Bugfix]Fix CacheControl version constraint violation * [#14908](https://github.com/apache/tvm/pull/14908) - Update the expected CI jobs list in the update_branch script * [#14847](https://github.com/apache/tvm/pull/14847) - Update CPU image to install PyTorch * [#14808](https://github.com/apache/tvm/pull/14808) - [Testing] Use TVMScript's "name" argument for error messages * [#14780](https://github.com/apache/tvm/pull/14780) - fix doc deploy issue * [#14651](https://github.com/apache/tvm/pull/14651) - Modify test cases to accommodate the CI upgrades * [#14666](https://github.com/apache/tvm/pull/14666) - sccache support while using ci.py under multi user environments * [#14635](https://github.com/apache/tvm/pull/14635) - Upgrade CI * [#14713](https://github.com/apache/tvm/pull/14713) - Add PLATFORM env var to builds * [#14680](https://github.com/apache/tvm/pull/14680) - Downgrade ci_cpu llvm version back to 11 * [#14653](https://github.com/apache/tvm/pull/14653) - [tests][scripts][release] Optimize release note script about categories etc * [#14646](https://github.com/apache/tvm/pull/14646) - [test][script] Fix release gather_pr.py of script about ghost users or blank PR nodes * [#14550](https://github.com/apache/tvm/pull/14550) - Add JAX deps in Dockerfiles * [#14466](https://github.com/apache/tvm/pull/14466) - Update ci_cpu image and build with llvm-15 ### Docker * [#15149](https://github.com/apache/tvm/pull/15149) - Fix build.sh environment variables * [#15105](https://github.com/apache/tvm/pull/15105) - Update docker images for llvm-16 * [#15092](https://github.com/apache/tvm/pull/15092) - Update ci-cortexm docker image to contain CMSIS-NN release v… * [#15095](https://github.com/apache/tvm/pull/15095) - Add build.sh environment variables * [#15067](https://github.com/apache/tvm/pull/15067) - Migrate arm docker image to use llvm packages * [#15031](https://github.com/apache/tvm/pull/15031) - Update ci_cpu docker image to one containing polly package f… * [#15003](https://github.com/apache/tvm/pull/15003) - [ADRENO] Docker setup changes for multi user environments * [#14912](https://github.com/apache/tvm/pull/14912) - Add polly package * [#14842](https://github.com/apache/tvm/pull/14842) - Install PyTorch on cpu image * [#14590](https://github.com/apache/tvm/pull/14590) - Support rootless docker when using docker/bash.sh ### Docs * [#15126](https://github.com/apache/tvm/pull/15126) - [DOC] Add RPC System Setup Document * [#15071](https://github.com/apache/tvm/pull/15071) - Updated the copyright year from 2020 to 2023 * [#15055](https://github.com/apache/tvm/pull/15055) - [DOC][TUTORIAL] Fix typo for the 'Making your Hardware Accelerator TVM-ready with UMA' * [#14504](https://github.com/apache/tvm/pull/14504) - [TensorIR][Doc] Docstring of `reorder_block_iter_var` * [#14611](https://github.com/apache/tvm/pull/14611) - [TIR] Fix unsafe_set_dtype docstring * [#14585](https://github.com/apache/tvm/pull/14585) - Fix typo in the Vitis AI Integration docs ### Misc * [#15267](https://github.com/apache/tvm/pull/15267) - [release] Disable git merge to avoid conflict * [#15187](https://github.com/apache/tvm/pull/15187) - [RPC] Report RPC Session Timeout to Client Instead of "kShutdown" * [#15185](https://github.com/apache/tvm/pull/15185) - Update tvm_runtime.h * [#15164](https://github.com/apache/tvm/pull/15164) - [CMake] Support LLVM-16 static linking * [#15167](https://github.com/apache/tvm/pull/15167) - [Python] Enhance Wheel Packaging * [#15166](https://github.com/apache/tvm/pull/15166) - [Target] Add MetaSchedule-compatible attributes to OpenCL * [#15154](https://github.com/apache/tvm/pull/15154) - [Minor] Fix Compilation Warnings * [#15132](https://github.com/apache/tvm/pull/15132) - [NDArray] Allow creating a view from a strided array * [#15116](https://github.com/apache/tvm/pull/15116) - [RPC] Add Missing Option "port_end" to RPC Proxy * [#15073](https://github.com/apache/tvm/pull/15073) - [CodeGenC] Use PrimFuncNode::ret_type in function signature * [#15036](https://github.com/apache/tvm/pull/15036) - [StackVM] Updated CodeGenStackVM to handle DeclBuffer * [#15022](https://github.com/apache/tvm/pull/15022) - [Build] Fix missing virtual destructor in SIBuilder * [#15016](https://github.com/apache/tvm/pull/15016) - Fix type parse error about AdaptiveMaxPool * [#15007](https://github.com/apache/tvm/pull/15007) - [Minor] Fix compilation warnings * [#15000](https://github.com/apache/tvm/pull/15000) - [CMAKE] Introduce dummy build as an option * [#14863](https://github.com/apache/tvm/pull/14863) - [DataType] Initial support of fp8 (e4m3/e5m2) * [#14975](https://github.com/apache/tvm/pull/14975) - [CMAKE] Add a dummy target to defer libtvm dep * [#14574](https://github.com/apache/tvm/pull/14574) - [IR][SIBuilder] * [#14939](https://github.com/apache/tvm/pull/14939) - [Target] Add target to all TVM callbacks * [#14937](https://github.com/apache/tvm/pull/14937) - [BUILD] Enable log before throw message in windows * [#14934](https://github.com/apache/tvm/pull/14934) - [TestCases] fix unreachable test cases due to outside the for-loop * [#14916](https://github.com/apache/tvm/pull/14916) - [TypoFix] fix some typo problem in keras frontend * [#14893](https://github.com/apache/tvm/pull/14893) - [Contrib] Use f-strings for string formatting, NFC * [#14884](https://github.com/apache/tvm/pull/14884) - [AutoTVM] Use f-strings for string formatting, NFC * [#14876](https://github.com/apache/tvm/pull/14876) - [CONTRIB] Enable create_staticlib to take in tar files * [#14867](https://github.com/apache/tvm/pull/14867) - Fix f-string typo * [#14851](https://github.com/apache/tvm/pull/14851) - Add v0.12.0 docs * [#14813](https://github.com/apache/tvm/pull/14813) - [BUILD] Removed the duplicated MACROs in config.cmake * [#14743](https://github.com/apache/tvm/pull/14743) - [SUPPORT] Fix RingBuffer ReadWithCallback * [#14799](https://github.com/apache/tvm/pull/14799) - [LINT] Fix clang-format script for newest clang-format * [#14797](https://github.com/apache/tvm/pull/14797) - [NDArray] Allow arbitrary stride when the corresponding shape is 1 * [#14790](https://github.com/apache/tvm/pull/14790) - More clear ref of thirdparty license * [#14779](https://github.com/apache/tvm/pull/14779) - fix: use arm on demand instead of spot * [#14762](https://github.com/apache/tvm/pull/14762) - [Target][Minor] Add A6000 Target Tag * [#14683](https://github.com/apache/tvm/pull/14683) - [AutoTVM] Added Droplet algorithm in TVM * [#14694](https://github.com/apache/tvm/pull/14694) - unify search path approach to various libs * [#14686](https://github.com/apache/tvm/pull/14686) - [CMAKE] Update search pattern of config * [#14636](https://github.com/apache/tvm/pull/14636) - Fix bug about wrong attribute name * [#14628](https://github.com/apache/tvm/pull/14628) - [CODEGEN] Fix metal codegen when with only single working dim * [#14607](https://github.com/apache/tvm/pull/14607) - fix: deploy ci * [#14569](https://github.com/apache/tvm/pull/14569) - [Node] Allow alternative root names in ObjectPath::Root() * [#14522](https://github.com/apache/tvm/pull/14522) - [Object] Implemented .as<T> for ObjectRef param, returns Optional<T> * [#14477](https://github.com/apache/tvm/pull/14477) - feat: use spot instances for ci with on demand as a backup * [#14468](https://github.com/apache/tvm/pull/14468) - [AutoTVM] New rank-binary loss_type for the new xgboost >= 2.0.0 behaviour * [#14544](https://github.com/apache/tvm/pull/14544) - Update to v0.13.dev0 * [#14539](https://github.com/apache/tvm/pull/14539) - [Target] Add Apple M1 GPU tag with 256-thread restriction -- View it on GitHub: https://github.com/apache/tvm/releases/tag/v0.13.0 You are receiving this because you are subscribed to this thread. Message ID: <apache/tvm/releases/112194...@github.com>
