ysh329 opened a new issue, #16911:
URL: https://github.com/apache/tvm/issues/16911

   # Introduction
   
   The TVM community has worked since the v0.15.0 release to deliver the 
following new exciting improvements! This release version is:
   
   - **First support of Relax**, with dynamic shape and pipeline
   - Dlight module for optimizing LLM TIR workloads on GPU
   - Disco module for initial SPMD multi-GPU support
   
   The main tags are below (**bold text is with lots of progress**):
   
   - Community, RFCs
   - Adreno, ArmComputeLibrary, Metal, cuda & cutlass & tensorrt, micoNPU, 
Runtime
   - **Relax**, **Dlight**, **Disco**
   - Arith, **TIR**, TVMScript
   - Docs, CI, **Misc**, **BugFix**
   
   Please visit the full listing of commits for a complete view: 
[v0.16.dev0...v0.16.0.rc0](https://github.com/apache/tvm/compare/v0.16.dev0...v0.16.0.rc0).
   
   ### Community
   
    * [#16695](https://github.com/apache/tvm/pull/16695) - Add new key for 
release signing
    * [#16419](https://github.com/apache/tvm/pull/16419) - Add new key for 
release signing
   
    ### RFCs
   
   This new RFC explores how TVM can be utilized to generate code for the SME 
ISA to achieve improved inference performance on supported Arm®-based hardware 
implementing the SME extension.
   
    * [#107](https://github.com/apache/tvm-rfcs/pull/107) - [RFC] Scalable 
Matrix Extension enablement
   ----
   
   ### Arith
    * [#16735](https://github.com/apache/tvm/pull/16735) - [Fixup] Require 
feature flag for tighter inequality bounds
    * [#16588](https://github.com/apache/tvm/pull/16588) - Provide tighter 
ConstIntBounds for special cases
    * [#16704](https://github.com/apache/tvm/pull/16704) - [Fix]Fix canonical 
simplification of LE
   
   ### BYOC
    * [#16567](https://github.com/apache/tvm/pull/16567) - Skip processed 
functions in FuseOpsByPattern and RunCodegen
   
   ### BugFix
    * [#16766](https://github.com/apache/tvm/pull/16766) - [Target] Added null 
check to fix segfault at ->defined() in cpu.cc DetectSystemTriple()
    * [#16739](https://github.com/apache/tvm/pull/16739) - [Ansor] Fixing Ansor 
Gradient Bug
    * [#16820](https://github.com/apache/tvm/pull/16820) - [Fix] PAPI docs
    * [#16793](https://github.com/apache/tvm/pull/16793) - [Fix] fix for numpy 
2.0 compatibility
    * [#16790](https://github.com/apache/tvm/pull/16790) - [Fix] Fix build 
errors with VS2022
    * [#16780](https://github.com/apache/tvm/pull/16780) - [Fix] Fix numpy 
dtype map
    * [#16773](https://github.com/apache/tvm/pull/16773) - [Fix] Fix the purity 
flag of "vm.call_tir_dyn" and "kill" ops
    * [#16770](https://github.com/apache/tvm/pull/16770) - [Hotfix] Revert 
driver API pass ordering that breaks MLC, mark failing test
    * [#16771](https://github.com/apache/tvm/pull/16771) - [Fix] Remove 
redundant "remove_all_unused" in IPC memory lowering
    * [#16746](https://github.com/apache/tvm/pull/16746) - [Fix][Builtin] Fix 
"GetQueryPosition" of PagedKVCache
    * [#16728](https://github.com/apache/tvm/pull/16728) - [Fix] Introduce 
TVM_DEBUG_WITH_ABI_CHANGE to warn ABI changes in debug mode
    * [#16714](https://github.com/apache/tvm/pull/16714) - [Fix] PagedKVCache 
fetching compute stream when copy stream is needed
    * [#16684](https://github.com/apache/tvm/pull/16684) - [SLM] Produce 
well-formed Relax for nn.modules.KVCache
    * [#16659](https://github.com/apache/tvm/pull/16659) - add the default 
value for DFT in ONNX frontend
    * [#16637](https://github.com/apache/tvm/pull/16637) - [Transform] Preserve 
symbolic variables in FuseOps
    * [#16649](https://github.com/apache/tvm/pull/16649) - [FFI] Add a missing 
default for datatype lanes
    * [#16492](https://github.com/apache/tvm/pull/16492) - [Executor] fix 
debug_executor function debug_get_output
    * [#16598](https://github.com/apache/tvm/pull/16598) - [Transform]Handle 
non-composite lambda functions in FuseOps
    * [#16565](https://github.com/apache/tvm/pull/16565) - [Transform] Keep 
private non-primitive functions in FuseTIR
    * [#16518](https://github.com/apache/tvm/pull/16518) - Use x*x*x instead of 
pow(x,3)
    * [#16436](https://github.com/apache/tvm/pull/16436) - Ensure that bf16 
arrays are created as expected
    * [#16361](https://github.com/apache/tvm/pull/16361) - Disable 
SingleEnvThreadVerifier
    * [#16289](https://github.com/apache/tvm/pull/16289) - [AUTOTVM][FIX] Typo 
fixes and add a warning in the Droplet Search
   
   ### CI
    * [#16837](https://github.com/apache/tvm/pull/16837) - Disable flaky unit 
test
    * [#16765](https://github.com/apache/tvm/pull/16765) - [AOT][Testing] 
Improve output mismatch information on test failure
    * [#16661](https://github.com/apache/tvm/pull/16661) - add merge_with_main 
in unity
    * [#16611](https://github.com/apache/tvm/pull/16611) - [AOT][Testing] Print 
output values on test failure
    * [#16546](https://github.com/apache/tvm/pull/16546) - Disable testing that 
downloads from mxnet
    * [#16521](https://github.com/apache/tvm/pull/16521) - Fix CI Script and 
Broken Tests
    * [#16502](https://github.com/apache/tvm/pull/16502) - Support tvm-bot 
rerun for tvm-unity task
    * [#16435](https://github.com/apache/tvm/pull/16435) - Update image tag to 
20240126-070121-8ade9c30e
    * [#16420](https://github.com/apache/tvm/pull/16420) - [WASM] Update emsdk 
and nodejs version
    * [#16384](https://github.com/apache/tvm/pull/16384) - Remove 
NVIDIA_DISABLE_REQUIRE
    * [#16382](https://github.com/apache/tvm/pull/16382) - In 
jenkins.cmd_utils.Sh.tee, check for failing subprocess
    * [#16366](https://github.com/apache/tvm/pull/16366) - Upgrade sccache 
version to 0.7.*
    * [#16369](https://github.com/apache/tvm/pull/16369) - Upgrade Unity ci 
images
    * [#16344](https://github.com/apache/tvm/pull/16344) - Update docker images 
tag to 20240105-165030-51bdaec6
    * [#16340](https://github.com/apache/tvm/pull/16340) - [Unity][UnitTest] 
Increase atol to resolve flaky CI failure
    * [#16337](https://github.com/apache/tvm/pull/16337) - [Hexagon][UnitTest] 
Disable flaky quantization test
    * [#16336](https://github.com/apache/tvm/pull/16336) - Upgrade cmake 
version to 3.24.0
   
   ### Docker
    * [#16755](https://github.com/apache/tvm/pull/16755) - [SME]Add Fixed 
Virtual Platform (FVP) and toolchain install
    * [#16348](https://github.com/apache/tvm/pull/16348) - Upgrade pip in i386 
container
   
   ### Dlight
    * [#16775](https://github.com/apache/tvm/pull/16775) - [Fix][Dlight] 
(Low-batched-)GeMV on small spatial loops
    * [#16429](https://github.com/apache/tvm/pull/16429) - [Unity][Dlight][Fix] 
Reduction rule support dyn-shape epilogue
    * [#16351](https://github.com/apache/tvm/pull/16351) - [Unity] Add 
dlight.gpu.Fallback in DispatchSortScan, add argsort, topk, and cumprod
    * [#16338](https://github.com/apache/tvm/pull/16338) - [Unity][DLight] 
Introduce Specific Rule for RMSNorm
    * [#16251](https://github.com/apache/tvm/pull/16251) - [Unity][Dlight] 
Support dlight gemv rule on nested inner block
    * [#16878](https://github.com/apache/tvm/pull/16878) - [Dlight] Enhance 
vectorization loading weight for gemv
    * [#16848](https://github.com/apache/tvm/pull/16848) - [DLight] Fix a 
corner case for reduction rule
    * [#16701](https://github.com/apache/tvm/pull/16701) - [Dlight] Add 
fallback for low batch gemv with outer reduction
    * [#16678](https://github.com/apache/tvm/pull/16678) - [Dlight] 
LowBatchGemv rule only apply to function with spatial symbolic var
    * [#16665](https://github.com/apache/tvm/pull/16665) - [Dlight] Skip GeMV 
when normalization fails
    * [#16579](https://github.com/apache/tvm/pull/16579) - [Dlight] Scheduling 
Low batch GEMM using GEMV-like rule
    * [#16579](https://github.com/apache/tvm/pull/16579) - [Dlight] Scheduling 
Low batch GEMM using GEMV-like rule
    * [#16321](https://github.com/apache/tvm/pull/16321) - [DLight] Skip rule 
if target is not suitable
    * [#16731](https://github.com/apache/tvm/pull/16731) - [Dlight] Fix GeMV 
shared memory estimation
   
   ### Docs
    * [#16792](https://github.com/apache/tvm/pull/16792) - [Doc] Fix 
set_axis_separator example
    * [#16610](https://github.com/apache/tvm/pull/16610) - [Doc] Fixed 
Docstring usage example in `tvm.ir.make_node`
    * [#16572](https://github.com/apache/tvm/pull/16572) - [Doc] Remove MxNet 
related tutorials
    * [#16514](https://github.com/apache/tvm/pull/16514) - [Unity][Doc] 
Document passes that depend on `DataflowBlock`s and encourage using 
`ConvertToDataflow`
    * [#16482](https://github.com/apache/tvm/pull/16482) - [Doc] Fix Docstring 
in `extern.py` for Sphinx
    * [#16346](https://github.com/apache/tvm/pull/16346) - [Doc] Fix minor 
error in "Expressions in Relay"
   
   ### Frontend
    * [#16001](https://github.com/apache/tvm/pull/16001) - [ONNX] Fix 
interpreting auto_pad parameters in ConvTranspose operator
    * [#16651](https://github.com/apache/tvm/pull/16651) - [PaddlePaddle] 
PaddlePaddle model with NCHW data format that supports quantization
    * [#16616](https://github.com/apache/tvm/pull/16616) - [PaddlePaddle] 
Support conv2d when data_format is NHWC
    * [#16526](https://github.com/apache/tvm/pull/16526) - [Keras] Enable Dense 
operator for any input dims
    * [#16478](https://github.com/apache/tvm/pull/16478) - [PaddlePaddle] Fixed 
the bug that prevented the model from being successfully converted to microTVM 
on MacOS
   
   ### Hexagon
    * [#16762](https://github.com/apache/tvm/pull/16762) - [VM]Cache operations 
when bypass mode is enabled
    * [#16706](https://github.com/apache/tvm/pull/16706) - [VM] Add buffers to 
`dma_wait` builtin
    * [#16448](https://github.com/apache/tvm/pull/16448) - [VM]Implement 
dma_copy and dma_wait builtin for hexagon
   
   ### LLVM
    * [#16782](https://github.com/apache/tvm/pull/16782) - [SVE] Support 
scalable vectors in LoopVectorizer
    * [#16812](https://github.com/apache/tvm/pull/16812) - Fix compilation 
failure due to minor change
    * [#16808](https://github.com/apache/tvm/pull/16808) - [Runtime]Fix errors 
during loading of target tags
    * [#16748](https://github.com/apache/tvm/pull/16748) - Lack of DWARF type 
is not an error
    * [#16696](https://github.com/apache/tvm/pull/16696) - [SVE] Add codegen 
support for scalable buffer accesses
    * [#15964](https://github.com/apache/tvm/pull/15964) - [RUNTIME] Add 
optional LLVM ORCJIT runtime executor
    * [#16612](https://github.com/apache/tvm/pull/16612) - [SVE] Add support 
for scalable data type strings
    * [#16523](https://github.com/apache/tvm/pull/16523) - [SVE] Change the 
dtype of Ramp and Broadcast lanes to PrimExpr
    * [#16484](https://github.com/apache/tvm/pull/16484) - [SVE] Add vscale 
builtin
    * [#16373](https://github.com/apache/tvm/pull/16373) - Update Host.h path
   
   ### MetaSchedule
    * [#16725](https://github.com/apache/tvm/pull/16725) - Make the `opt_level` 
of `tune_relay()` adjustable
   
   ### Metal
    * [#16713](https://github.com/apache/tvm/pull/16713) - [RUNTIME]Provide 
richer runtime when error happens
    * [#16605](https://github.com/apache/tvm/pull/16605) - [RUNTIME]Fix 
multithreading access of metal runtime
    * [#16438](https://github.com/apache/tvm/pull/16438) - Dispatch numerically 
stable tanh for metal
   
   ### OpenCL & CLML
    * [#16854](https://github.com/apache/tvm/pull/16854) - [OpenCL] Add OpenCL 
device for automatic target detection
    * [#16846](https://github.com/apache/tvm/pull/16846) - 
[Meta-Schedule][OpenCL] Enable MS tuning for Android OpenCL
    * [#16768](https://github.com/apache/tvm/pull/16768) - [RUNTIME][OPENCL] 
Bugfix for ciImage create with host ptr
    * [#16672](https://github.com/apache/tvm/pull/16672) - [CLML] Fix build TVM 
with CLML on MacOS
    * [#16328](https://github.com/apache/tvm/pull/16328) - [RUNTIME][CLML] Fix 
for Softmax op for 4D tensors
    * [#16394](https://github.com/apache/tvm/pull/16394) - [OpenCL][CMake] Fix 
OpenCL tests compilation
   
   ### ROCm
    * [#16441](https://github.com/apache/tvm/pull/16441) - [WebGPU] Intrin 
Dispatch: `tanh`, `erf`, `log`
    * [#16404](https://github.com/apache/tvm/pull/16404) - Some fixes of ROCm 
codegen
   
   ### Relax
    * [#16872](https://github.com/apache/tvm/pull/16872) - Enhance symbolic 
expr estimation in memory planning
    * [#16867](https://github.com/apache/tvm/pull/16867) - Dispatch sort/scan 
for non-cuda gpu backends
    * [#16852](https://github.com/apache/tvm/pull/16852) - Fix 
EliminiateCommonSubexpr removing alloc tensor
    * [#16851](https://github.com/apache/tvm/pull/16851) - [Relax,Topi] Allow 
passing workspace to thrust to avoid allocations
    * [#16841](https://github.com/apache/tvm/pull/16841) - Provide well-formed 
output in `transform.LazyGetInput`
    * [#16798](https://github.com/apache/tvm/pull/16798) - [Transform] Provide 
callback versions of LazyTransformParams
    * [#16801](https://github.com/apache/tvm/pull/16801) - Allow 
DeadCodeElimination within ApplyPassToFunction
    * [#16834](https://github.com/apache/tvm/pull/16834) - Capture symbolic 
vars in struct info of weights
    * [#16830](https://github.com/apache/tvm/pull/16830) - Share storage allocs 
among functions after cuda graph rewriting
    * [#16823](https://github.com/apache/tvm/pull/16823) - [VM] Refactor CUDA 
graph builtins as VM extension
    * [#16828](https://github.com/apache/tvm/pull/16828) - [Bugfix] Provide the 
full Expr to pattern-match rewriter
    * [#16805](https://github.com/apache/tvm/pull/16805) - [Bugfix]BlockBuilder 
may not assume unique input functions
    * [#16815](https://github.com/apache/tvm/pull/16815) - Enable capturing 
symbolic shapes in cuda graph
    * [#16642](https://github.com/apache/tvm/pull/16642) - Allow R.Prim('bool') 
in relax::If and assert_op
    * [#16796](https://github.com/apache/tvm/pull/16796) - Unit-test for 
structural equal of recursive function
    * [#16732](https://github.com/apache/tvm/pull/16732) - Allow composition of 
DFPattern replacements
    * [#16783](https://github.com/apache/tvm/pull/16783) - Improve 
CanonicalizeBindings in DataflowVar edge case
    * [#16721](https://github.com/apache/tvm/pull/16721) - Implement operators 
to inspec DLTensor::strides and offset
    * [#16730](https://github.com/apache/tvm/pull/16730) - Refactor 
PatternRewriter into separate Block/Expr mutators
    * [#16756](https://github.com/apache/tvm/pull/16756) - [IR]Improve 
highlighting in assert_structural_equal
    * [#16779](https://github.com/apache/tvm/pull/16779) - Improve malform 
error msg
    * [#16569](https://github.com/apache/tvm/pull/16569) - [Unity][Parser] 
Check well-formedness in the parser
    * [#16759](https://github.com/apache/tvm/pull/16759) - [Pass] Lowering 
passes for GPU IPC memory and allreduce
    * [#16697](https://github.com/apache/tvm/pull/16697) - Implement 
relax.transform.TopologicalSort
    * [#16658](https://github.com/apache/tvm/pull/16658) - Normalize use of 
void-type variable to inline R.tuple()
    * [#16711](https://github.com/apache/tvm/pull/16711) - [Frontend] Add op 
`tanh`, `exp`, `negative`, and `permute`
    * [#16703](https://github.com/apache/tvm/pull/16703) - [Fix]Fix top-p/top-k 
sampling kernel
    * [#16669](https://github.com/apache/tvm/pull/16669) - [Frontend][Onnx] add 
sum and globalavgpool 1d/3d op
    * [#16691](https://github.com/apache/tvm/pull/16691) - CUDA graph rewrite 
treating StringImm as static
    * [#16685](https://github.com/apache/tvm/pull/16685) - Implement 
StructInfoPattern for dataflow pattern matching
    * [#16681](https://github.com/apache/tvm/pull/16681) - [Frontend][Onnx] 
support MaxPool1/2/3D and AveragePool1/2/3D
    * [#16584](https://github.com/apache/tvm/pull/16584) - [Unity][TIR] Clear 
struct info when specializing PrimFunc
    * [#16676](https://github.com/apache/tvm/pull/16676) - Remove the 
legalization of cumsum/cumprob
    * [#16654](https://github.com/apache/tvm/pull/16654) - [Frontend][NN] Add 
support for Conv3D
    * [#16674](https://github.com/apache/tvm/pull/16674) - Eager free original 
weights in transform_params
    * [#16675](https://github.com/apache/tvm/pull/16675) - add sample_indices 
in sampling
    * [#16648](https://github.com/apache/tvm/pull/16648) - [Runtime] Support 
Unpack API for NDArrayCache
    * [#16591](https://github.com/apache/tvm/pull/16591) - [Unity][Transform] 
Handle dynamic shapes in CombineParallelMatmul
    * [#16594](https://github.com/apache/tvm/pull/16594) - [Transform] Preserve 
param names in LiftTransformParams
    * [#16575](https://github.com/apache/tvm/pull/16575) - [Unity] GPU sampling
    * [#16574](https://github.com/apache/tvm/pull/16574) - Additional unit 
tests for RemoveUnusedParameters
    * [#16585](https://github.com/apache/tvm/pull/16585) - [Unity][Analysis] 
Include impure call in VerifyWellFormed errors
    * [#16421](https://github.com/apache/tvm/pull/16421) - [Unity][Transform] 
Raise error in FuseOpsByPattern for SSA violation
    * [#16629](https://github.com/apache/tvm/pull/16629) - Fix error message in 
BlockBuilder
    * [#16592](https://github.com/apache/tvm/pull/16592) - Handle dynamic 
arguments in legalization of nn.attention
    * [#16590](https://github.com/apache/tvm/pull/16590) - [Unity][Transform] 
Check for permute_dims in ExpandMatmulOfSum
    * [#16604](https://github.com/apache/tvm/pull/16604) - [Frontend][Onnx] fix 
clip unsqueeze opset implement
    * [#16568](https://github.com/apache/tvm/pull/16568) - [Runtime] RNNState 
for Space State Models
    * [#16563](https://github.com/apache/tvm/pull/16563) - Implement operators 
to read runtime DLTensor* information
    * [#16581](https://github.com/apache/tvm/pull/16581) - 
[Unity][MSC][M4.2][Step2] Enable plugin with manager, test plugins in compile 
pipeline
    * [#16600](https://github.com/apache/tvm/pull/16600) - Expose name_hint 
field for BlockBuilder.match_cast
    * [#16601](https://github.com/apache/tvm/pull/16601) - [Transform] 
Canonicalize `let var = R.const` bindings
    * [#16583](https://github.com/apache/tvm/pull/16583) - [Unity][VM] 
Recursively visit match bindings in VMShapeLowerMutator
    * [#16586](https://github.com/apache/tvm/pull/16586) - Ignore non-relax 
functions in relax.transform.RunCodegen
    * [#16573](https://github.com/apache/tvm/pull/16573) - [VM] 
Re-implementation of callback functions
    * [#16561](https://github.com/apache/tvm/pull/16561) - [Bugfix]Remove call 
to tvm.build for empty TIR module
    * [#16564](https://github.com/apache/tvm/pull/16564) - [Unity] Check for 
symbolic vars in PrimValue in when lowering to TIR
    * [#16558](https://github.com/apache/tvm/pull/16558) - Minor updates for NN 
frontend
    * [#16542](https://github.com/apache/tvm/pull/16542) - Support callback as 
argument
    * [#16487](https://github.com/apache/tvm/pull/16487) - [Unity][Transform] 
Handle `call_tir_inplace` in `FuseTIR` and `FuseOps`
    * [#16355](https://github.com/apache/tvm/pull/16355) - [Unity] Infer struct 
info for relax.op.split on dynamic-sized index
    * [#16465](https://github.com/apache/tvm/pull/16465) - [Redo][Unity] Split 
DecomposeOpsForTraining into two steps
    * [#16495](https://github.com/apache/tvm/pull/16495) - 
[Unity][MSC][M4.2][Step1] Enable plugin with manager, test plugins in compile 
pipeline
    * [#16498](https://github.com/apache/tvm/pull/16498) - [Frontent] 
"tensor_ir_inplace" op
    * [#16500](https://github.com/apache/tvm/pull/16500) - [Unity] Support 
storage reuse for dynamic shapes
    * [#16493](https://github.com/apache/tvm/pull/16493) - [Pass] Skip data 
type node for CSE pass
    * [#16467](https://github.com/apache/tvm/pull/16467) - 
[Unity][MSC][Refactor] Reconstruct BYOC and runner
    * [#16422](https://github.com/apache/tvm/pull/16422) - [Unity][CodeGen] 
RunCodegen based on externally-exposed functions
    * [#16483](https://github.com/apache/tvm/pull/16483) - [Unity][Frontend] 
Add Sigmoid and Square Op
    * [#16472](https://github.com/apache/tvm/pull/16472) - [Unity] Improved 
error message in tvm::relax::UpdateStructInfo
    * [#16473](https://github.com/apache/tvm/pull/16473) - [Unity] Improve 
error message in tensor_to_shape struct inference
    * [#16466](https://github.com/apache/tvm/pull/16466) - Memory planning for 
"partially dynamic" shapes
    * [#16464](https://github.com/apache/tvm/pull/16464) - NDArray Cache Update 
with DLTensor Support
    * [#16315](https://github.com/apache/tvm/pull/16315) - [Unity][Transform] 
Implement relax.transform.ReorderTakeAfterMatmul
    * [#16313](https://github.com/apache/tvm/pull/16313) - [Unity][Transform] 
Implement relax.transform.ExpandMatmulOfSum
    * [#16411](https://github.com/apache/tvm/pull/16411) - [Unity][Transform] 
Handle symbolic variables in LambdaLift
    * [#16443](https://github.com/apache/tvm/pull/16443) - [Unity][FIX] fix 
thread dtype mismatch
    * [#16442](https://github.com/apache/tvm/pull/16442) - Revert "[Unity] 
Split DecomposeOpsForTraining into two steps"
    * [#16437](https://github.com/apache/tvm/pull/16437) - [Unity] Improve 
buffer allocation for handling duplicated buffer names.
    * [#16439](https://github.com/apache/tvm/pull/16439) - [Unity]  Support 
cumsum with pure int32
    * [#16432](https://github.com/apache/tvm/pull/16432) - [Unity] downgrade 
cmake version requirement
    * [#16427](https://github.com/apache/tvm/pull/16427) - 
[Unity][Frontend][NN] Better support for dynamic convolutions
    * [#16418](https://github.com/apache/tvm/pull/16418) - [Unity][Fix] Fix 
mismatched intrinsic name
    * [#16129](https://github.com/apache/tvm/pull/16129) - [Unity][Transform] 
Replace eligible operators with in-place versions in dataflow blocks
    * [#16414](https://github.com/apache/tvm/pull/16414) - [Bugfix][Unity] 
Recover MSVC/NVCC/ROCm/Vulkan
    * [#15954](https://github.com/apache/tvm/pull/15954) - [Unity] Split 
DecomposeOpsForTraining into two steps
    * [#16111](https://github.com/apache/tvm/pull/16111) - [Unity][Transform] 
Memory planning for dynamic-shape func return
    * [#16396](https://github.com/apache/tvm/pull/16396) - [Unity] PagedKVCache 
supporting on-the-fly RoPE calculation
    * [#16395](https://github.com/apache/tvm/pull/16395) - [Frontend][ONNX]fix 
onnx frontend parse
    * [#16385](https://github.com/apache/tvm/pull/16385) - [Unity][Op] Add 
Conv3D Operator
    * [#16284](https://github.com/apache/tvm/pull/16284) - [Unity][nnModule] 
Dynamic shape support in nn Module
    * [#16378](https://github.com/apache/tvm/pull/16378) - 
[Unity][BlockBuilder] Restore bb.get()
    * [#16374](https://github.com/apache/tvm/pull/16374) - [Unity] Support TIR 
kernel for PagedKVCache
    * [#16314](https://github.com/apache/tvm/pull/16314) - [Unity][Transform] 
Implement relax.transform.AdjustMatmulOrder
    * [#16349](https://github.com/apache/tvm/pull/16349) - [Unity][MSC] Avoid 
depending on trivial bindings in Relax intermediate
    * [#16376](https://github.com/apache/tvm/pull/16376) - [Unity][Contrib] Fix 
a bug due to typo in vllm `reconstruct_from_cache` kernel and add test
    * [#16388](https://github.com/apache/tvm/pull/16388) - [Unity] Update 
dispatch test cases following the merge from main
    * [#16335](https://github.com/apache/tvm/pull/16335) - [Unity] Set 
CMAKE_CUDA_ARCHITECTURES default to native
    * [#16306](https://github.com/apache/tvm/pull/16306) - [Unity][Transform] 
Update LambdaLift to use name of lifted lambda
    * [#16310](https://github.com/apache/tvm/pull/16310) - [Unity][Analysis] 
Show objects instead of names in WellFormedChecker
    * [#16362](https://github.com/apache/tvm/pull/16362) - [Unity][Fix] Memory 
planning check value type of 'tir_var_upper_bound'
    * [#16367](https://github.com/apache/tvm/pull/16367) - [Unity][Transform] 
Handle replacement at both var binding and usage
    * [#16309](https://github.com/apache/tvm/pull/16309) - [Unity][Transform] 
Use parameter name in BundleModelParams
    * [#16307](https://github.com/apache/tvm/pull/16307) - [Unity] Improved 
error message in ExprMutator::ReEmitBinding
    * [#16308](https://github.com/apache/tvm/pull/16308) - [Unity] Improved 
error message for matmul shape mismatch
    * [#16360](https://github.com/apache/tvm/pull/16360) - [Unity] Enhance 
Torch-consistency in rehsape
    * [#16350](https://github.com/apache/tvm/pull/16350) - [Unity][Contrib] Add 
vLLM paged attention kernel
    * [#16303](https://github.com/apache/tvm/pull/16303) - [Unity][NN] Use 
Linear name for nn.op.permute_dims
    * [#16325](https://github.com/apache/tvm/pull/16325) - 
[Unity][MSC][Legalize] legalize codes and mute logging
    * [#16312](https://github.com/apache/tvm/pull/16312) - [Unity][Analysis] 
Add utility for collecting compile-time bindings
    * [#16330](https://github.com/apache/tvm/pull/16330) - [Unity][WEBGPU] 
Enable wasm exception propagation
    * [#16304](https://github.com/apache/tvm/pull/16304) - [Unity][Analysis] 
Handle PrimStructInfo in EraseToWellDefined
    * [#16305](https://github.com/apache/tvm/pull/16305) - [Unity][Transform] 
Implement UpdateParamStructInfo
    * [#16331](https://github.com/apache/tvm/pull/16331) - [Unity] Alter op 
impl handling empty transform for output
    * [#16254](https://github.com/apache/tvm/pull/16254) - [Unity] Dispatch 
cumsum and sort
    * [#16120](https://github.com/apache/tvm/pull/16120) - [Unity][Transform] 
Extract partial-tuple-usage from FuseTIR
    * [#16311](https://github.com/apache/tvm/pull/16311) - [Unity] Validate 
struct info in relax::Call constructor
    * [#16333](https://github.com/apache/tvm/pull/16333) - [Unity] Fix 
nn.op.tensor_ir_op signature
    * [#16302](https://github.com/apache/tvm/pull/16302) - [Unity] Cutlass 
kernel compatibility with cmake 3.18+
   
   ### Relay
    * [#16622](https://github.com/apache/tvm/pull/16622) - [ONNX] Fix the 
attribute mode parse of operator Upsample
    * [#16626](https://github.com/apache/tvm/pull/16626) - [ONNX] Fix the 
Resize operator in ONNX frontend
    * [#16624](https://github.com/apache/tvm/pull/16624) - [ONNX] fix the wrong 
default value about dtype in Multinomial converter
    * [#16417](https://github.com/apache/tvm/pull/16417) - [Frontend][Torch] 
fix pytorch frontend linspace op
    * [#16400](https://github.com/apache/tvm/pull/16400) - [Frontend][Torch] 
fix pytorch frontend not support logical or
    * [#16390](https://github.com/apache/tvm/pull/16390) - [Frontend][Torch] 
fix a typo mistake in nonzero_numpy
    * [#16324](https://github.com/apache/tvm/pull/16324) - make "ToScalar" 
support directly obtaining "int64_t"
   
   ### Runtime
    * [#16804](https://github.com/apache/tvm/pull/16804) - Introduce MSCCLPP 
with NCCL equivalent interface
    * [#16809](https://github.com/apache/tvm/pull/16809) - Add "TVM_DLL" to 
NVTX header
    * [#16750](https://github.com/apache/tvm/pull/16750) - CUDA IPC Memory 
support and custom allreduce kernels
    * [#16738](https://github.com/apache/tvm/pull/16738) - [Refactor]Always 
specify device in allocator interface
    * [#16716](https://github.com/apache/tvm/pull/16716) - Ensure 
NDArray.CopyTo(Device) always sync
    * [#16705](https://github.com/apache/tvm/pull/16705) - Add TVM_DLL to 
memory manager functions
    * [#16692](https://github.com/apache/tvm/pull/16692) - PagedKVCache execute 
data copy on a separate stream
    * [#16647](https://github.com/apache/tvm/pull/16647) - [RPC] Fix FreeObject 
in minrpc server
    * [#16667](https://github.com/apache/tvm/pull/16667) - [Builtin] Using 
float32 accumulation in attention kernel
    * [#16635](https://github.com/apache/tvm/pull/16635) - [RPC] Enable 
RPCObjectRef over multi-hop RPC
    * [#16630](https://github.com/apache/tvm/pull/16630) - Add TVM_DLL to 
threading backend funcs
    * [#16541](https://github.com/apache/tvm/pull/16541) - Add "TVM_DLL" to 
NDArray cache load func
    * [#16550](https://github.com/apache/tvm/pull/16550) - [ROCM] Properly 
align rocm parameter buffer
    * [#16545](https://github.com/apache/tvm/pull/16545) - Fix dtype conversion 
for bf16 and fp8
    * [#16508](https://github.com/apache/tvm/pull/16508) - ParallelFor skipping 
thread backend for unit extent
    * [#16486](https://github.com/apache/tvm/pull/16486) - KV cache providing 
workspace for attn kernel
    * [#16456](https://github.com/apache/tvm/pull/16456) - [KVCache] 
AttentionWithFusedQKV and RoPE mode
    * [#16415](https://github.com/apache/tvm/pull/16415) - [Memory] Implement 
support for non-zero offset within a storage object in AllocNDArr…
    * [#16387](https://github.com/apache/tvm/pull/16387) - [RPC] Enable 
RPCObjectRef return in RPC
    * [#16377](https://github.com/apache/tvm/pull/16377) - Use 
cudaGetDeviceCount to check if device exists
   
   ### TIR
    * [#16832](https://github.com/apache/tvm/pull/16832) - Use constructor for 
new PrimFunc in TransformLayout
    * [#16543](https://github.com/apache/tvm/pull/16543) - Fix segfaults from 
ordering of Let/Assert in MakePackedAPI
    * [#16795](https://github.com/apache/tvm/pull/16795) - Ramp and Broadcast 
lanes fixed to int32 dtype
    * [#16767](https://github.com/apache/tvm/pull/16767) - [Driver] Use 
`BindTarget` to specify target for FP8 legalization
    * [#16742](https://github.com/apache/tvm/pull/16742) - [Bugfix]Fix 
cache_read update buffer region
    * [#16726](https://github.com/apache/tvm/pull/16726) - [Bugfix]Avoid 
overwrite of unmanaged buffer allocations
    * [#16548](https://github.com/apache/tvm/pull/16548) - [CUDA] Add native 
FP8 support to codegen
    * [#16723](https://github.com/apache/tvm/pull/16723) - Implement 
max/min_value for fp8 data types
    * [#16655](https://github.com/apache/tvm/pull/16655) - Improve well-formed 
check's handling of match buffer
    * [#16673](https://github.com/apache/tvm/pull/16673) - Support Vector 
Reinterpret Calls
    * [#16682](https://github.com/apache/tvm/pull/16682) - [Bugfix]Handle 
AttrStmt of upcoming tir.Var in ConvertSSA
    * [#16560](https://github.com/apache/tvm/pull/16560) - Enhance and fix 
tensorize schedule for some case
    * [#16660](https://github.com/apache/tvm/pull/16660) - [Bugfix]Fix 
duplicate AllocateConst in CacheReadWrite schedule primitive
    * [#16544](https://github.com/apache/tvm/pull/16544) - Expand debug symbol 
output for CodeGenLLVM
    * [#16553](https://github.com/apache/tvm/pull/16553) - Fix 
get_block_access_region for let bindings
    * [#16515](https://github.com/apache/tvm/pull/16515) - Require exactly 
same-dtype matching for Vulkan smem reuse
    * [#16406](https://github.com/apache/tvm/pull/16406) - Fix of inter thread 
reduction with shared memory prefetch
    * [#16293](https://github.com/apache/tvm/pull/16293) - Extend DP4A tensor 
intrin
    * [#16345](https://github.com/apache/tvm/pull/16345) - Allow sync threads 
inside condition
    * [#16250](https://github.com/apache/tvm/pull/16250) - In SplitHostDevice, 
check for variables in thread extents
    * [#16184](https://github.com/apache/tvm/pull/16184) - [Transform] 
Implement InlinePrivateFunctions
   
   ### TOPI
    * [#16652](https://github.com/apache/tvm/pull/16652) - improve 
inclusive_scan for thrust
    * [#16383](https://github.com/apache/tvm/pull/16383) - [Target] Add fp16 
SIMD support for conv2d on `arm_cpu` targets
   
   ### TVMC
    * [#16261](https://github.com/apache/tvm/pull/16261) - Add tvmc flag to 
print ir before and print ir after named pass
   
   ### TVMScript
    * [#16864](https://github.com/apache/tvm/pull/16864) - Add parser and 
printer support for e4m3/e5m2 fp8
    * [#16844](https://github.com/apache/tvm/pull/16844) - Produce empty 
DictAttrs when R.func_attrs is absent
    * [#16811](https://github.com/apache/tvm/pull/16811) - Do not throw error 
for duplicate definitions
    * [#16641](https://github.com/apache/tvm/pull/16641) - Allow use of 
relax.Expr with void type as a statement
    * [#16663](https://github.com/apache/tvm/pull/16663) - Infer T.reads() for 
DeclBuffer nodes
    * [#16640](https://github.com/apache/tvm/pull/16640) - Represent 
tir::builtin::ret() using python "return"
    * [#16562](https://github.com/apache/tvm/pull/16562) - [Bugfix]Handle 
R.match_cast as last binding in if/else
    * [#16593](https://github.com/apache/tvm/pull/16593) - [Unity]Parse 
R.Object return type from call_pure_packed
    * [#16356](https://github.com/apache/tvm/pull/16356) - [Unity]Optionally 
hide StructInfo that can be inferred
    * [#16379](https://github.com/apache/tvm/pull/16379) - [Unity]Update 
`call_packed` semantics to support empty sinfo_args
   
   ### Vulkan
    * [#16858](https://github.com/apache/tvm/pull/16858) - Fix CLZ support for 
Vulkan
   
   ### cuda & cutlass & tensorrt
    * [#16865](https://github.com/apache/tvm/pull/16865) - [Codegen, CUDA] Add 
handling of fp8 broadcast / const
    * [#16818](https://github.com/apache/tvm/pull/16818) - [Cutlass] Fix usage 
of cuda stream for group gemm
    * [#16788](https://github.com/apache/tvm/pull/16788) - [Cutlass] Add check 
for group gemm param shapes
    * [#16789](https://github.com/apache/tvm/pull/16789) - [Bugfix][Cutlass] 
Remove a typo in cutlass build
    * [#16787](https://github.com/apache/tvm/pull/16787) - [Codegen, Cuda] Add 
overload for fp8x4 e5m2 <-> half4 conversion
    * [#16751](https://github.com/apache/tvm/pull/16751) - [Cutlass] Add group 
gemm kernels
    * [#16736](https://github.com/apache/tvm/pull/16736) - [Target][CUDA] Allow 
non-numeric arch as needed for latest gpu
    * [#16619](https://github.com/apache/tvm/pull/16619) - [Bugfix][Cutlass] 
Check if function attributes is None
    * [#16342](https://github.com/apache/tvm/pull/16342) - [CUDA] Simple extend 
to optimize reuse for static shared memory.
    * [#16342](https://github.com/apache/tvm/pull/16342) - [CUDA] Simple extend 
to optimize reuse for static shared memory.
    * [#16342](https://github.com/apache/tvm/pull/16342) - [CUDA] Simple extend 
to optimize reuse for static shared memory.
    * [#16342](https://github.com/apache/tvm/pull/16342) - [CUDA] Simple extend 
to optimize reuse for static shared memory.
    * [#16342](https://github.com/apache/tvm/pull/16342) - [CUDA] Simple extend 
to optimize reuse for static shared memory.
   
   ### micoNPU
    * [#16266](https://github.com/apache/tvm/pull/16266) - [microNPU][ETHOSU] 
Add fixed point for tanh
    * [#16680](https://github.com/apache/tvm/pull/16680) - [microNPU][ETHOSU] 
Fix LUT size for int16 activations
    * [#16401](https://github.com/apache/tvm/pull/16401) - [microNPU][ETHOSU] 
Add fixed point for matmul
   
   ### web
    * [#16733](https://github.com/apache/tvm/pull/16733) - Support web indexDB 
cache for larger model storage
    * [#16810](https://github.com/apache/tvm/pull/16810) - Support building 
tvm/web on Windows
    * [#16825](https://github.com/apache/tvm/pull/16825) - Allow custom bc 
files in emcc making
    * [#16791](https://github.com/apache/tvm/pull/16791) - Add `kv_state` and 
`rnn_state` to wasm_runtime
    * [#16722](https://github.com/apache/tvm/pull/16722) - Implement linear 
congruential generator, make runtime seedable
    * [#16650](https://github.com/apache/tvm/pull/16650) - Seperate parallel 
shard download and iterative shard loading
    * [#16694](https://github.com/apache/tvm/pull/16694) - Initial support for 
asyncify
    * [#16631](https://github.com/apache/tvm/pull/16631) - Fix NDArrayCache 
loading report callback
    * [#16525](https://github.com/apache/tvm/pull/16525) - Move ArtifactCache 
to Interface, Support Cache delete and Batch Delete, Remove typo
    * [#16554](https://github.com/apache/tvm/pull/16554) - Compatibility with 
PagedKVCache in WebGPU
    * [#16527](https://github.com/apache/tvm/pull/16527) - Revert "[Unity]Temp 
disable wasm exception (#16444)"
    * [#16504](https://github.com/apache/tvm/pull/16504) - [Relax]Add 
ApplyPresenceAndRequencyPenalty
    * [#16485](https://github.com/apache/tvm/pull/16485) - [wasm] Enlarge 
initial memory for emcc
    * [#16444](https://github.com/apache/tvm/pull/16444) - [Unity]Temp disable 
wasm exception
   
   ### Misc
    * [#16873](https://github.com/apache/tvm/pull/16873) - [Thrust] Fix thrust 
workspace allocation
    * [#16868](https://github.com/apache/tvm/pull/16868) - [3rdparty] Bump 
flashinfer
    * [#16871](https://github.com/apache/tvm/pull/16871) - [PageKV] allow PopN 
to pop all the tokens in last block
    * [#16866](https://github.com/apache/tvm/pull/16866) - [3rdparty] Bump 
FlashInfer
    * [#16863](https://github.com/apache/tvm/pull/16863) - [Picojson] Let the 
key of objects in json be ordered by default
    * [#16856](https://github.com/apache/tvm/pull/16856) - [Thrust] Use pointer 
to tls pool to prevent creating new pool
    * [#16850](https://github.com/apache/tvm/pull/16850) - Fixing probability 
comment
    * [#16849](https://github.com/apache/tvm/pull/16849) - [KVCache] Initialize 
one extra page than specified
    * [#16843](https://github.com/apache/tvm/pull/16843) - [IR] Provide 
well-formed intermediate in ApplyPassToFunction
    * [#16772](https://github.com/apache/tvm/pull/16772) - [MSC][M5.3] Support 
torch.dynamo for dynamic models
    * [#16839](https://github.com/apache/tvm/pull/16839) - Bump pillow from 
10.2.0 to 10.3.0 in /apps/microtvm/cmsisnn
    * [#16838](https://github.com/apache/tvm/pull/16838) - Bump pillow from 
10.2.0 to 10.3.0 in /apps/microtvm/ethosu
    * [#16831](https://github.com/apache/tvm/pull/16831) - [KVCache] Reducing 
CacheAuxDataManager copy size
    * [#16794](https://github.com/apache/tvm/pull/16794) - [SME] Target parser 
support for SME
    * [#16824](https://github.com/apache/tvm/pull/16824) - [KVCache] 
Introducing auxiliary data manager
    * [#16800](https://github.com/apache/tvm/pull/16800) - [BugTIR]fix error 
merging shared memory for ptx_cp_async
    * [#16822](https://github.com/apache/tvm/pull/16822) - [VM] Recycle VMFrame
    * [#16813](https://github.com/apache/tvm/pull/16813) - [KVCache] Support 
forking sequence at specific posotion
    * [#16786](https://github.com/apache/tvm/pull/16786) - [Codegen] Add check 
to disable invalid reinterpret
    * [#16816](https://github.com/apache/tvm/pull/16816) - [Cmake] Allow using 
custom CCCL path for thrust
    * [#16784](https://github.com/apache/tvm/pull/16784) - [SLM] Add unit tests 
for SLM to Relax exporter
    * [#16814](https://github.com/apache/tvm/pull/16814) - Fix includes of 
custom allreduce kernel
    * [#16806](https://github.com/apache/tvm/pull/16806) - [Debug] Improve 
error message in VMShapeLower
    * [#16802](https://github.com/apache/tvm/pull/16802) - [Debug] Improve 
error messages in LiftTransformParams
    * [#16425](https://github.com/apache/tvm/pull/16425) - [Target] Use LLVM 
target parser for determining Arm(R) A-Profile Architecture features
    * [#16797](https://github.com/apache/tvm/pull/16797) - [3rdparty] AUTO mode 
for custom all-reduce strategy
    * [#16761](https://github.com/apache/tvm/pull/16761) - [SME] Add support 
for inserting processor state annotations
    * [#16778](https://github.com/apache/tvm/pull/16778) - [Analysis] Allow 
calls to GlobalVar in @R.function
    * [#16745](https://github.com/apache/tvm/pull/16745) - [IR] Default to 
empty attributes, instead of NULL
    * [#16777](https://github.com/apache/tvm/pull/16777) - Revert "[SLM] Allow 
modules to define pre-processing of weights"
    * [#16776](https://github.com/apache/tvm/pull/16776) - [Contrib] Remove 
thrust "built but not used" warning
    * [#16757](https://github.com/apache/tvm/pull/16757) - [SLM] Allow modules 
to define pre-processing of weights
    * [#16763](https://github.com/apache/tvm/pull/16763) - [CONTRIB] Add nm 
symbol dump
    * [#16717](https://github.com/apache/tvm/pull/16717) - Enable Shared 
Function in LiftTransformParam Pass
    * [#16729](https://github.com/apache/tvm/pull/16729) - [Builtin] Sliding 
window and sink support for PagedKVCache
    * [#16724](https://github.com/apache/tvm/pull/16724) - Fix cpp_rtvm cmake 
build on Windows
    * [#16513](https://github.com/apache/tvm/pull/16513) - [Target] 
Automatically detect system triple when not specified by the user
    * [#16710](https://github.com/apache/tvm/pull/16710) - [CMake] Add 
"USE_FLASHINFER" to libinfo
    * [#16702](https://github.com/apache/tvm/pull/16702) - [MSC][M5.2] Enable 
quantize && prune with gym by wrapper
    * [#16699](https://github.com/apache/tvm/pull/16699) - [Transform] Remove 
R.Object parameters after LazyTransformParams
    * [#16668](https://github.com/apache/tvm/pull/16668) - [MSC][M5.1] Build 
wrapper to support compression
    * [#16693](https://github.com/apache/tvm/pull/16693) - [Contrib] Support 
NDArray cache taking generator
    * [#16412](https://github.com/apache/tvm/pull/16412) - [Lint] Add check to 
prevent usage of #include <regex>
    * [#16689](https://github.com/apache/tvm/pull/16689) - [DeviceAPI] Support 
"GetCurrentStream"
    * [#16690](https://github.com/apache/tvm/pull/16690) - Use target name 
instead of node name as function name
    * [#16683](https://github.com/apache/tvm/pull/16683) - [skip ci] Fix wasm 
exception flag
    * [#16609](https://github.com/apache/tvm/pull/16609) - Minor update docs 
instructions
    * [#16656](https://github.com/apache/tvm/pull/16656) - Simplify Windows 
CMake Command
    * [#16666](https://github.com/apache/tvm/pull/16666) - [KVCache] Fix the 
reference counter in sequence fork
    * [#16662](https://github.com/apache/tvm/pull/16662) - Fixing workload 
comment
    * [#16595](https://github.com/apache/tvm/pull/16595) - [Transform] Check 
for zero-param operators in LiftTransformParams
    * [#16599](https://github.com/apache/tvm/pull/16599) - [Transform] 
De-duplicate MatchCast nodes in EliminateCommonSubexpr
    * [#16596](https://github.com/apache/tvm/pull/16596) - [Transform] 
Implement relax.transform.ReorderPermuteDimsAfterConcat
    * [#16597](https://github.com/apache/tvm/pull/16597) - [Transform] Allow 
explicit name of bundled model parameters
    * [#16602](https://github.com/apache/tvm/pull/16602) - [Transform] 
Improvements to LazyTransformParams
    * [#16606](https://github.com/apache/tvm/pull/16606) - [KVCache] Support 
passing in attn_score_scaling_factor into KV cache
    * [#16608](https://github.com/apache/tvm/pull/16608) - Extend gpu memory 
bandwidth test to work through RPC
    * [#16587](https://github.com/apache/tvm/pull/16587) - [Debug] Improve 
error message for codegen pattern mismatches
    * [#16570](https://github.com/apache/tvm/pull/16570) - [Marvell BYOC]: 
Marvell AI Accelerator Integration - Phase 1
    * [#16576](https://github.com/apache/tvm/pull/16576) - Update the 
3rdparty/libflash_attn submodule
    * [#16580](https://github.com/apache/tvm/pull/16580) - [KVCache] Support 
mode "None" for Rotary Embebdding
    * [#16578](https://github.com/apache/tvm/pull/16578) - [KVCache] Support 
returning query positions
    * [#16571](https://github.com/apache/tvm/pull/16571) - Fix compile warnings
    * [#16540](https://github.com/apache/tvm/pull/16540) - [Upd] Enable lld 
search to include /opt/rocm/llvm/bin for rocm
    * [#16539](https://github.com/apache/tvm/pull/16539) - Improve error 
message in NDArray::CopyFromTo
    * [#16524](https://github.com/apache/tvm/pull/16524) - [Build] Improving 
debug and build-dir options
    * [#16551](https://github.com/apache/tvm/pull/16551) - [KVCache] Fix 
attention kernel for ROCm
    * [#16512](https://github.com/apache/tvm/pull/16512) - Cut 
pytest-lazy-fixture
    * [#16506](https://github.com/apache/tvm/pull/16506) - Bump 
3rdparty/cutlass_fpA_intB_gemm version
    * [#16511](https://github.com/apache/tvm/pull/16511) - [Minor] Fix Clang 
compilation warning in fuse_tir.cc and codegen_c_host.cc
    * [#16516](https://github.com/apache/tvm/pull/16516) - Add Relax, Unity 
Tags in make_notes.py
    * [#16497](https://github.com/apache/tvm/pull/16497) - [Instrument] Add 
default instrument to print all passes
    * [#16494](https://github.com/apache/tvm/pull/16494) - [DPL] Support 
tir_vars field in is_call_tir pattern
    * [#16453](https://github.com/apache/tvm/pull/16453) - Bump pillow from 
10.0.1 to 10.2.0 in /apps/microtvm
    * [#16454](https://github.com/apache/tvm/pull/16454) - [BugTIR] fix 
thread_sync occurs in letstmt
    * [#16468](https://github.com/apache/tvm/pull/16468) - [LINT] Fix pylint 
issues in test_dma_builtin.py
    * [#16413](https://github.com/apache/tvm/pull/16413) - [Contrib] Workspace 
for cuBLAS backend
    * [#16460](https://github.com/apache/tvm/pull/16460) - 
[Cherry-pick][MSC][M4.1] Add plugin && plugin_builder, enable build and test in 
different frameworks (#16397)
    * [#16461](https://github.com/apache/tvm/pull/16461) - [Minor] Fix 
Docstring for sphinx-build
    * [#16431](https://github.com/apache/tvm/pull/16431) - [Schedule] 
Loop-Partition Scheduling Primitive
    * [#16451](https://github.com/apache/tvm/pull/16451) - Bump pillow from 
10.0.1 to 10.2.0 in /apps/microtvm/ethosu
    * [#16452](https://github.com/apache/tvm/pull/16452) - Bump pillow from 
10.0.1 to 10.2.0 in /apps/microtvm/cmsisnn
    * [#16445](https://github.com/apache/tvm/pull/16445) - [skip ci] update 
branch rule to prepare for unity transition
    * [#16426](https://github.com/apache/tvm/pull/16426) - [CMake] Enable cuda 
lang if USE_CUDA is on
    * [#16407](https://github.com/apache/tvm/pull/16407) - Add NVIDIA Hopper 
H100 target tag
    * [#16398](https://github.com/apache/tvm/pull/16398) - [DeviceAPI] Support 
querying total global memory
    * [#16357](https://github.com/apache/tvm/pull/16357) - [RPC] Fix tuning on 
macOS and Windows (#15771)
    * [#16386](https://github.com/apache/tvm/pull/16386) - [Thrust] Use no sync 
exec policy and caching allocator
    * [#16343](https://github.com/apache/tvm/pull/16343) - [CMake][MSVC] 
Disable permissive mode for MSVC builds
    * [#16242](https://github.com/apache/tvm/pull/16242) - [Codegen] Fix 
if_then_else codegen
    * [#16341](https://github.com/apache/tvm/pull/16341) - [CMake] Use ccache 
as CMAKE_CUDA_COMPILER_LAUNCHER
    * [#16332](https://github.com/apache/tvm/pull/16332) - Change metal dtype 
of ceil_log2 to fp32


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