# Feature Improvement ## Accelerator and Microcontroller Support
- Cleanup legacy verilog code ([#4576](https://github.com/apache/incubator-tvm/pull/4576)) - uTVM support for ARM STM32F746XX boards ([#4274](https://github.com/apache/incubator-tvm/pull/4274)) - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145) ## Arithmetic Analysis - Linear system and equation solver ([#5171](https://github.com/apache/incubator-tvm/pull/5171)) - Inequalities solver [#5618](https://github.com/apache/incubator-tvm/pull/5618) - Improve IntervalSet's floormod ([#5367](https://github.com/apache/incubator-tvm/pull/5367)) - Remove legacy const pattern functions ([#5387](https://github.com/apache/incubator-tvm/pull/5387)) - Handle likely in IRMutatorWithAnalyzer [#5665](https://github.com/apache/incubator-tvm/pull/5665) - ExtendedEuclidean merge impl to int_operator [#5625](https://github.com/apache/incubator-tvm/pull/5625) - Rewrite simplify fix for Vectorized Cooperative Fetching [#5924](https://github.com/apache/incubator-tvm/pull/5924) ## AutoTVM and Graph Tuner - Adding ROCM schedules for TOPI ([#4507](https://github.com/apache/incubator-tvm/pull/4507)) - NHWC conv2d schedule templates for ARM ([#3859](https://github.com/apache/incubator-tvm/pull/3859)) - Use VM compile to extract autotvm tasks [#4328](https://github.com/apache/incubator-tvm/issues/4328) - Download fallback schedule file if it does not exist [#4671](https://github.com/apache/incubator-tvm/issues/4671) - Ignore error when removing tmpdir [#4781](https://github.com/apache/incubator-tvm/issues/4781) - Fix a bug in generating the search space [#4779](https://github.com/apache/incubator-tvm/issues/4779) - Minor bug fixes in AutoTVM for QNN graphs [#4797](https://github.com/apache/incubator-tvm/issues/4797) - Fix autotvm customized template [#5034](https://github.com/apache/incubator-tvm/pull/5034) - Add opt out operator for has_multiple_inputs for graph tuner [#5000](https://github.com/apache/incubator-tvm/pull/5000) - Customize SI prefix in logging ([#5411](https://github.com/apache/incubator-tvm/pull/5411)) - Update XGBoost verbosity option [#5649](https://github.com/apache/incubator-tvm/pull/5649) - Support range in index based tuners [#4870](https://github.com/apache/incubator-tvm/pull/4870) ## BYOC - [BYOC] Bind constant tuples in graph partitioner ([#5476](https://github.com/apache/incubator-tvm/pull/5476)) - [BYOC] Add support for composite functions in BYOC ([#5261](https://github.com/apache/incubator-tvm/pull/5261)) - [BYOC] Register pattern tables from external codegens ([#5262](https://github.com/apache/incubator-tvm/pull/5262)) - [BYOC] Enhance partitioning and external codegen ([#5310](https://github.com/apache/incubator-tvm/pull/5310)) - [BYOC] Refine AnnotateTarget and MergeCompilerRegion Passes ([#5277](https://github.com/apache/incubator-tvm/pull/5277)) - [BYOC] Use Non-Recursive Visitor/Mutator ([#5410](https://github.com/apache/incubator-tvm/pull/5410)) - [BYOC] Refine DNNL Codegen ([#5288](https://github.com/apache/incubator-tvm/pull/5288)) - [BYOC] Add example of Composite + Annotate for DNNL fused op ([#5272](https://github.com/apache/incubator-tvm/pull/5272)) - [BYOC] Prevent duplicate outputs in subgraph Tuple ([#5320](https://github.com/apache/incubator-tvm/pull/5320)) ## Codegen - Intrinsic dispatching with OCML instead of LLVM for ROCm ([#4499](https://github.com/apache/incubator-tvm/pull/4499)) - Make target codegen take IRModule and PrimFunc. [#5107](https://github.com/apache/incubator-tvm/pull/5107) - Enhance CUDA codegen for SelectNode [#4983](https://github.com/apache/incubator-tvm/pull/4983) - Vectorization for intrinsics [#5101](https://github.com/apache/incubator-tvm/pull/5101) - [LLVM] Do not use x86_vcvtph2ps_256 intrinsic with LLVM 11+ ([#5267](https://github.com/apache/incubator-tvm/pull/5267)) - [LLVM] Use llvm::ElementCount with LLVM 11+ when creating vectors ([#5265](https://github.com/apache/incubator-tvm/pull/5265)) - [LLVM] Use llvm::FunctionCallee in IRBuilder::CreateCall with LLVM 11+ ([#5338](https://github.com/apache/incubator-tvm/pull/5338)) - [LLVM] Include Support/Host.h for declaration of getDefaultTargetTriple ([#5268](https://github.com/apache/incubator-tvm/pull/5268)) - [LLVM] Replace calls to Type::getVectorNumElements ([#5398](https://github.com/apache/incubator-tvm/pull/5398)) - [LLVM] Use ArrayRef in calls to CreateShuffleVector ([#5399](https://github.com/apache/incubator-tvm/pull/5399)) - [LLVM] Use llvm::Align with LLVM 11+ to avoid warnings ([#5264](https://github.com/apache/incubator-tvm/pull/5264)) - [CodeGen] Cleanup generated code (#5424) - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199) - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211) - Creating Target from JSON-like Configuration [#6218](https://github.com/apache/incubator-tvm/pull/6218) - Add python binding to new JSON target construction [#6315](https://github.com/apache/incubator-tvm/pull/6315) - Use target class in all codegens [#6347](https://github.com/apache/incubator-tvm/pull/6347) - Initial support for Hexagon codegen [#6261](https://github.com/apache/incubator-tvm/pull/6261) - Add --runtime=c, remove micro_dev target, enable LLVM backend [#6145](https://github.com/apache/incubator-tvm/pull/6145) - Add tvm::support::hexdump() debug utility [#6154](https://github.com/apache/incubator-tvm/pull/6154) - Adding AMD codegen unit tests ([#4509](https://github.com/apache/incubator-tvm/pull/4509)) - Support cuda tensorcore subbyte int data type in auto tensorcore [#4546](https://github.com/apache/incubator-tvm/pull/4546) - Handle empty LLVMModule in GetFunction [#5146](https://github.com/apache/incubator-tvm/pull/5146) - Support int4/int8 conv2d tensor core with HWNC layout [#6121](https://github.com/apache/incubator-tvm/pull/6121) ## Dynamism Support - Add shape function for zero, zeros_like, ones, ones_like ([#4448](https://github.com/apache/incubator-tvm/pull/4448)), tile ([#4441](https://github.com/apache/incubator-tvm/pull/4441/files)) - Support symbolic newshape for Reshape #5429 - Support symbolic TopK, Ones, Zeros and Full [#5459](https://github.com/apache/incubator-tvm/pull/5459) - Add shape_of instruction [#5855](https://github.com/apache/incubator-tvm/pull/5855) - symbolic max_output_size [#5844](https://github.com/apache/incubator-tvm/pull/5844) - Dynamic TopK Op [#6008](https://github.com/apache/incubator-tvm/pull/6008) - Dynamic broadcast_to, zeros, ones [#6007](https://github.com/apache/incubator-tvm/pull/6007) - Add dynamic reshape grad [#6080](https://github.com/apache/incubator-tvm/pull/6080) - Keep fixed dim when unifying dynamic shape [#5795](https://github.com/apache/incubator-tvm/pull/5795) - OneHot operation [#6209](https://github.com/apache/incubator-tvm/pull/6209) - Add Dynamic Resize Op [#6198](https://github.com/apache/incubator-tvm/pull/6198) - Dynamic full operator [#6260](https://github.com/apache/incubator-tvm/pull/6260) - Dynamic upsampling relay op [#6273](https://github.com/apache/incubator-tvm/pull/6273) - Dynamic Tile Op [#5983](https://github.com/apache/incubator-tvm/pull/5983) ## Frontend and User Interface - TFLite parser support for transpose_conv ([#4440](https://github.com/apache/incubator-tvm/pull/4440)), unpack ([#4447](https://github.com/apache/incubator-tvm/pull/4447)) - LLDB pretty printers for relay ([#4453](https://github.com/apache/incubator-tvm/pull/4453)) - ONNX to Relay converter op support: expand op ([#4483](https://github.com/apache/incubator-tvm/pull/4483)) - ONNX auto_pad in conv and convtranspose ([#4563](https://github.com/apache/incubator-tvm/pull/4563/)) - TF to Relay converter op support: bilinear and neighbour implementation refactor ([#4504](https://github.com/apache/incubator-tvm/pull/4504)), max_pool3d ([#4551](https://github.com/apache/incubator-tvm/pull/4551)), conv2d_transpose with “same” padding support for larger than 1x1 kernels ([#4484](https://github.com/apache/incubator-tvm/pull/4484)) - Remove unnecessary cast of constants in ONNX converter ([#4573](https://github.com/apache/incubator-tvm/pull/4573)) - Add support for tf.Keras networks in Relay Keras frontend [#4630](https://github.com/apache/incubator-tvm/issues/4630) - Add conv3d [#4604](https://github.com/apache/incubator-tvm/issues/4604) - Fix incorrect calculations in tf SLICE [#4518](https://github.com/apache/incubator-tvm/issues/4518) - Dynamically calculate input_stats of any fake_quant range [#4789](https://github.com/apache/incubator-tvm/pull/4789) - LSTM Support [#4825](https://github.com/apache/incubator-tvm/pull/4825) - Add MIRROR_PAD operator [#4822](https://github.com/apache/incubator-tvm/pull/4822) - use qnn helper function in softmax [#4840](https://github.com/apache/incubator-tvm/pull/4840) - Add Resize op converter [#4838](https://github.com/apache/incubator-tvm/pull/4838) - Add support for TFLite_Detection_PostProcess [#4543](https://github.com/apache/incubator-tvm/pull/4543) - Fix tests for tflite unary elemwise operations [#4913](https://github.com/apache/incubator-tvm/pull/4913) - GaussianDropout/Noise parsing support [#4928](https://github.com/apache/incubator-tvm/pull/4928) - Add parser support for 'square' operator [#4915](https://github.com/apache/incubator-tvm/pull/4915) - make_loss operator support [#4930](https://github.com/apache/incubator-tvm/pull/4930) - Add parser support for l2_normalization [#4966](https://github.com/apache/incubator-tvm/pull/4966) - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952) - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992) - support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980) - TFLite: Using real image for QNN testing. [#4816](https://github.com/apache/incubator-tvm/pull/4816) - TFLite: FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971) - PyTorch: Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961) - PyTorch: fix unordered dictionary problem for python version under 3.6 [#4982](https://github.com/apache/incubator-tvm/pull/4982) - Operator support NonZero [#5073](https://github.com/apache/incubator-tvm/pull/5073) - Upsampling op support and enable registering a user defined op conversion map [#4961](https://github.com/apache/incubator-tvm/pull/4961) - Check graph inputs match expected [#4992](https://github.com/apache/incubator-tvm/pull/4992) - Add support for quantized models via QNN [#4977](https://github.com/apache/incubator-tvm/pull/4977) - Add initial control flow support [#4964](https://github.com/apache/incubator-tvm/pull/4964) - Remove FP32 piggy back and use QNN add/mul/concatenate [#5061](https://github.com/apache/incubator-tvm/pull/5061) - Add missing upcast to uint8 avg_pool conversion [#5089](https://github.com/apache/incubator-tvm/pull/5089) - Add initial 3D op support and test on Resnet 3D [#5075](https://github.com/apache/incubator-tvm/pull/5075) - Fix conv2d conversion for group conv (group > 1 but != in channels) [#5132](https://github.com/apache/incubator-tvm/pull/5132) - Add support for max_pool1d [#5142](https://github.com/apache/incubator-tvm/pull/5142) - Add support for split [#5174](https://github.com/apache/incubator-tvm/pull/5174) - FLOOR_MOD & FLOOR_DIV support [#4971](https://github.com/apache/incubator-tvm/pull/4971) - Activation functions support [#4978](https://github.com/apache/incubator-tvm/pull/4978) - Round op parsing support added [#5022](https://github.com/apache/incubator-tvm/pull/5022) - DepthToSpace and SpaceToDepth support [#5041](https://github.com/apache/incubator-tvm/pull/5041) - TOP_K op parser support [#5051](https://github.com/apache/incubator-tvm/pull/5051) - ReadVariableOp operator support [#4952](https://github.com/apache/incubator-tvm/pull/4952) - Support multiply outputs [#4980](https://github.com/apache/incubator-tvm/pull/4980) - Reduce_any op parsing support [#4926](https://github.com/apache/incubator-tvm/pull/4926) - TensorFlow Parser Control Flow Enhancement [#5020](https://github.com/apache/incubator-tvm/pull/5020) - TensorFlow Frontend support with shared params [#5042](https://github.com/apache/incubator-tvm/pull/5042) - Support for AddV2 in Relay Tensorflow frontend converter. [#5046](https://github.com/apache/incubator-tvm/pull/5046) - conv3d frontend operator support [#5080](https://github.com/apache/incubator-tvm/pull/5080) - Max_pool3d and Averagepool3d operator support [#5085](https://github.com/apache/incubator-tvm/pull/5085) - Support for Atan/Atan2 in Relay Tensorflow frontend converter. [#5104](https://github.com/apache/incubator-tvm/pull/5104) - Use leaky by default for LeakyReLU [#5192](https://github.com/apache/incubator-tvm/pull/5192) - Conv3D ONNX support and conv3D_ncdhw x86 schedules [#4949](https://github.com/apache/incubator-tvm/pull/4949) - Add support for FusedBatchNormV3 [#5065](https://github.com/apache/incubator-tvm/pull/5065) - Activations for pytorch [#5194](https://github.com/apache/incubator-tvm/pull/5194) - Dropouts And InstanceNorm support added [#5203](https://github.com/apache/incubator-tvm/pull/5203) - [Frontend] Asymmetric padding of convolution support ([#4803](https://github.com/apache/incubator-tvm/pull/4803)) - [ONNX]Pool3d & upsample3d op support ([#5135](https://github.com/apache/incubator-tvm/pull/5135)) - Add TopK to ONNX Frontend ([#5441](https://github.com/apache/incubator-tvm/pull/5441)) - Add RoiAlign to Onnx frontend ([#5454](https://github.com/apache/incubator-tvm/pull/5454)) - [PYTORCH]AvgPool3d, MaxPool3d and Squeeze op support ([#5220](https://github.com/apache/incubator-tvm/pull/5220)) - [PYTORCH]celu, gelu, selu activations ([#5263](https://github.com/apache/incubator-tvm/pull/5263)) - [Pytorch]layernorm bug fix and testcase updated ([#5257](https://github.com/apache/incubator-tvm/pull/5257)) - [PYTORCH]LayerNorm support added ([#5249](https://github.com/apache/incubator-tvm/pull/5249)) - [RELAY-OP][PYTORCH]GroupNorm op support added ([#5358](https://github.com/apache/incubator-tvm/pull/5358)) - [TOPI][PYTORCH]Logical & Bitwise operator support ([#5341](https://github.com/apache/incubator-tvm/pull/5341)) - [PYTORCH]Tensor creation ops support ([#5347](https://github.com/apache/incubator-tvm/pull/5347)) - [RELAY][PYTORCH]cosh,sinh,log2,log10,log1p op support ([#5395](https://github.com/apache/incubator-tvm/pull/5395)) - [PYTORCH]Rsub, Embedded, OneHot ops support ([#5434](https://github.com/apache/incubator-tvm/pull/5434)) - [PYTORCH]Abs, Arange, Softplus ops ([#5295](https://github.com/apache/incubator-tvm/pull/5295)) - [RELAY][PYTORCH]isNan, isinf, isfinite, ceil, clamp, round ops ([#5316](https://github.com/apache/incubator-tvm/pull/5316)) - [PYTORCH]Activations for pytorch ([#5194](https://github.com/apache/incubator-tvm/pull/5194)) - [PYTORCH]Repeat, Reciprocal & Reshape Op support ([#5280](https://github.com/apache/incubator-tvm/pull/5280)) - [PYTORCH]Reduce_ops support added ([#5308](https://github.com/apache/incubator-tvm/pull/5308)) - [PYTORCH]Take, Topk op support ([#5332](https://github.com/apache/incubator-tvm/pull/5332)) - [PYTORCH]Dropouts And InstanceNorm support added ([#5203](https://github.com/apache/incubator-tvm/pull/5203)) - [PYTORCH]Unary Ops frontend support. ([#5378](https://github.com/apache/incubator-tvm/pull/5378)) - [Torch] Support Python list, more realistic recurrent networks ([#5306](https://github.com/apache/incubator-tvm/pull/5306)) - [PYTORCH]where, addcdiv, addcmul op support ([#5383](https://github.com/apache/incubator-tvm/pull/5383)) - [Torch] Add support for split ([#5174](https://github.com/apache/incubator-tvm/pull/5174)) - [Frontend][Torch] Fix up graph input handling ([#5204](https://github.com/apache/incubator-tvm/pull/5204)) - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475)) - [TFLITE]Hard Swish & MobilnetV3 model testing ([#5239](https://github.com/apache/incubator-tvm/pull/5239)) - [FRONTEND][TFLITE]Gather, StridedSlice op support added ([#4788](https://github.com/apache/incubator-tvm/pull/4788)) - [TFLITE] Match TFLite shape for SSD custom op ([#5473](https://github.com/apache/incubator-tvm/pull/5473)) - Factor out import of common tflite.Operator in tflite frontend. ([#5355](https://github.com/apache/incubator-tvm/pull/5355)) - [Frontend][TFLite] support for FILL and SPLIT_V operators ([#5330](https://github.com/apache/incubator-tvm/pull/5330)) - [Frontend][TFLite] L2_POOL_2D operator ([#5452](https://github.com/apache/incubator-tvm/pull/5452)) - [TFLite] Add config option to specify FlatBuffers location ([#5425](https://github.com/apache/incubator-tvm/pull/5425)) - [FRONTEND][TFLITE]Logical not op support ([#5475](https://github.com/apache/incubator-tvm/pull/5475)) - [TENSORFLOW]reduce ops updated ([#5180](https://github.com/apache/incubator-tvm/pull/5180)) - [FRONTEND][TENSORFLOW] Fix gather_nd indices ([#5279](https://github.com/apache/incubator-tvm/pull/5279)) - [Frontend][TensorFlow]Improve TensorFlow Static Shape Tensor Array ([#5243](https://github.com/apache/incubator-tvm/pull/5243)) - [KERAS]Minimum & AlphaDropout op support ([#5380](https://github.com/apache/incubator-tvm/pull/5380)) - [KERAS]Embedding layer ([#5444](https://github.com/apache/incubator-tvm/pull/5444)) - [FRONTEND][KERAS]Max_pool3d and Averagepool3d operator support ([#5085](https://github.com/apache/incubator-tvm/pull/5085)) - [RELAY][FRONTEND][CAFFE2] add Mul and ConvTranspose operator ([#5302](https://github.com/apache/incubator-tvm/pull/5302)) - [MXNET]DepthToSpace & SpaceToDepth Operator ([#5408](https://github.com/apache/incubator-tvm/pull/5408)) - [MXNET]broadcast and logical op support ([#5461](https://github.com/apache/incubator-tvm/pull/5461)) - [FRONTEND][MXNET] Use leaky by default for LeakyReLU ([#5192](https://github.com/apache/incubator-tvm/pull/5192)) - [FRONTEND][MXNET] support elemwise logic ops ([#5361](https://github.com/apache/incubator-tvm/pull/5361)) - [Frontend|MXNet] SwapAxis operator support ([#5246](https://github.com/apache/incubator-tvm/pull/5246)) - [RELAY] Move frontend utils (#5345) - [Fontend][Pytorch] Fix translation of transpose when axis argument is as a list (#5451) - LpPool Support added [#5696](https://github.com/apache/incubator-tvm/pull/5696) - Skip ADD inside Gemm op when vector is zero [#5697](https://github.com/apache/incubator-tvm/pull/5697) - ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721) - MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729) - Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800) - StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617) - Don't add cast for batch norm when type isn't changing [#5731](https://github.com/apache/incubator-tvm/pull/5731) - Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775) - expand bug fix [#5576](https://github.com/apache/incubator-tvm/pull/5576) - Support max_pool2d_with_indices [#5549](https://github.com/apache/incubator-tvm/pull/5549) - Add prim::device op [#5584](https://github.com/apache/incubator-tvm/pull/5584) - ImplicitTensorToNum support added [#5603](https://github.com/apache/incubator-tvm/pull/5603) - Matmul fix for batch_matmul [#5604](https://github.com/apache/incubator-tvm/pull/5604) - ReflectionPad2d op [#5624](https://github.com/apache/incubator-tvm/pull/5624) - Padding op support [#5638](https://github.com/apache/incubator-tvm/pull/5638) - Minor bug fixes [#5683](https://github.com/apache/incubator-tvm/pull/5683) - floor_divide support for squeezenet [#5702](https://github.com/apache/incubator-tvm/pull/5702) - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708) - aten::norm support added [#5776](https://github.com/apache/incubator-tvm/pull/5776) - broadcast and logical op support [#5461](https://github.com/apache/incubator-tvm/pull/5461) - MaxPool3d and AvgPool3d Ops support added [#5614](https://github.com/apache/incubator-tvm/pull/5614) - Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715) - conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814) - Model importer to be compatible with tflite 2.1.0 [#5497](https://github.com/apache/incubator-tvm/pull/5497) - Nit: Function names made consistent [#5515](https://github.com/apache/incubator-tvm/pull/5515) - Select op support for tflite frontend [#5486](https://github.com/apache/incubator-tvm/pull/5486) - GATHER_ND [#5508](https://github.com/apache/incubator-tvm/pull/5508) - Quantize & Dequantize op [#5394](https://github.com/apache/incubator-tvm/pull/5394) - Fully connected op conversion made in sync with TFLite [#5510](https://github.com/apache/incubator-tvm/pull/5510) - ADD_N operator [#5474](https://github.com/apache/incubator-tvm/pull/5474) - onnx, mxnet, pytorch mathops added [#5561](https://github.com/apache/incubator-tvm/pull/5561) - abs, round, reciprocal, sign, softsign, hard_sigmoid ops support [#5587](https://github.com/apache/incubator-tvm/pull/5587) - Gather nd bug fix for one dim support in tensorflow [#5588](https://github.com/apache/incubator-tvm/pull/5588) - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329) - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688) - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699) - MXNet: Softmin, trunc op support added [#5715](https://github.com/apache/incubator-tvm/pull/5715) - MXNet: conv3d and conv3d_transpose addedx [#5814](https://github.com/apache/incubator-tvm/pull/5814) - MXNet: Add parser for contrib.box_decode [#5967](https://github.com/apache/incubator-tvm/pull/5967) - Onnx: ReduceL1, ReduceL2, ReduceSumSquare, ReduceLogSum ops added [#5721](https://github.com/apache/incubator-tvm/pull/5721) - Onnx: MaxRoiPool, Mod & Xor op support added [#5729](https://github.com/apache/incubator-tvm/pull/5729) - Onnx: Skip multiply with 1.0f constant for GEMM import [#5800](https://github.com/apache/incubator-tvm/pull/5800) - Onnx: Fix an issue with #5755 and add Batch norm unit tests. [#5845](https://github.com/apache/incubator-tvm/pull/5845) - TensorFlow: StatefulPartitionedCall/PartitionedCall Ops support added [#5617](https://github.com/apache/incubator-tvm/pull/5617) - TensorFlow: Don’t add cast for batch norm when type isn’t changing [#5731](https://github.com/apache/incubator-tvm/pull/5731) - TensorFlow: Conv3d Transpose OP added [#5775](https://github.com/apache/incubator-tvm/pull/5775) - Add parser support for shape and range [#5329](https://github.com/apache/incubator-tvm/pull/5329) - Darknet support batch size for yolo [#5688](https://github.com/apache/incubator-tvm/pull/5688) - Improve Control Flow and TensorArray [#5699](https://github.com/apache/incubator-tvm/pull/5699) - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794) - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805) - Fix TF Dynamic input shape [#5825](https://github.com/apache/incubator-tvm/pull/5825) - Support a few contrib ops in mxnet [#5819](https://github.com/apache/incubator-tvm/pull/5819) - Improve TF Parser to keep output nodes for saved_model [#5794](https://github.com/apache/incubator-tvm/pull/5794) - Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax [#4805](https://github.com/apache/incubator-tvm/pull/4805) - Check all unsupported ops before raising an exception [#5929](https://github.com/apache/incubator-tvm/pull/5929) - Add Pytorch advanced indexing [#6318](https://github.com/apache/incubator-tvm/pull/6318) - Support index_select [#6295](https://github.com/apache/incubator-tvm/pull/6295) - Fix cast to long [#6301](https://github.com/apache/incubator-tvm/pull/6301) - Fix dtype handling for modules with integer parameters [#6311](https://github.com/apache/incubator-tvm/pull/6311) - pytorch frontend support conv1d [#6203](https://github.com/apache/incubator-tvm/pull/6203) - Add cast to double, fix flatten conversion [#6357](https://github.com/apache/incubator-tvm/pull/6357) - Fix aten::max and aten::min conversion [#6372](https://github.com/apache/incubator-tvm/pull/6372) - Match pytorch 1.6 googlenet pretrained model (#6201) [#6212](https://github.com/apache/incubator-tvm/pull/6212)Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232) - Implemented PADV2 Operator for TFLite and added support for constant values in PAD. [#6167](https://github.com/apache/incubator-tvm/pull/6167) - Implemented ONE_HOT Operator for TFLite. [#6223](https://github.com/apache/incubator-tvm/pull/6223) - Implemented EXPAND_DIMS Operator for TFLite. [#6243](https://github.com/apache/incubator-tvm/pull/6243) - Implemented REVERSE_V2 Operator for TFLite. [#6304](https://github.com/apache/incubator-tvm/pull/6304) - Implemented MATRIX_SET_DIAG Operator for Relay/TOPI and TFLite Frontend. [#6303](https://github.com/apache/incubator-tvm/pull/6303) - RESHAPE with dynamic shape arg in TFLite frontend [#6208](https://github.com/apache/incubator-tvm/pull/6208) - Constant input attr added to fully connected operation in TFLite frontend [#6228](https://github.com/apache/incubator-tvm/pull/6228) - Gather operation with indices as tensor expr in TFLite frontend [#6168](https://github.com/apache/incubator-tvm/pull/6168) - Added support for tflite quantized maximum and minimum [#6018](https://github.com/apache/incubator-tvm/pull/6018) - Unary ops support added in frontend [#6196](https://github.com/apache/incubator-tvm/pull/6196) - Introduce caffe frontend for tvm [#6206](https://github.com/apache/incubator-tvm/pull/6206) - Keras softmax and prelu fix under NHWC [#6278](https://github.com/apache/incubator-tvm/pull/6278) - add support for MXNET numpy operators [#6054](https://github.com/apache/incubator-tvm/pull/6054) - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240) - Reduceops support added to frontend [#6252](https://github.com/apache/incubator-tvm/pull/6252) - Update precision in the ONNX strided_slice, update precision of ToScalar [#6272](https://github.com/apache/incubator-tvm/pull/6272) - NHWC import support. [#4899](https://github.com/apache/incubator-tvm/pull/4899) - Refine tensorflow frontend 1.x & 2.x compatibility [#6240](https://github.com/apache/incubator-tvm/pull/6240) - Fix node indices attribute error for tensorflow 2.3 [#6288](https://github.com/apache/incubator-tvm/pull/6288) - Support NMSv4 [#6085](https://github.com/apache/incubator-tvm/pull/6085) - Support for PyTorch Non-Maximum Suppression [#6314](https://github.com/apache/incubator-tvm/pull/6314) - ReplicationPad support added [#5708](https://github.com/apache/incubator-tvm/pull/5708) - MXNet pre-quantized BERT [#6039](https://github.com/apache/incubator-tvm/pull/6039) - Keep parameter names from PyTorch [#5887](https://github.com/apache/incubator-tvm/pull/5887) - Refine LSTMBlockCell to support dynamic rnn [#5963](https://github.com/apache/incubator-tvm/pull/5963) ## Relay - Add function attributes to IR hash ([#4479](https://github.com/apache/incubator-tvm/pull/4479/files)) - Relay passes lookup overhead optimization ([#4594](https://github.com/apache/incubator-tvm/pull/4594)) - Add half_pixel option to Resize op [#4610](https://github.com/apache/incubator-tvm/issues/4610) - Skip example json runtime test when config is not set [#4614](https://github.com/apache/incubator-tvm/issues/4614) - Test tensor_array in vm [#4608](https://github.com/apache/incubator-tvm/issues/4608) - Improve memory_allocation pass to support multiple i/o dynamic kernels [#4595](https://github.com/apache/incubator-tvm/issues/4595) - Add unit test for tensor_array_split [#4619](https://github.com/apache/incubator-tvm/issues/4619) - Add parses support for unary elemwise ops [#4634](https://github.com/apache/incubator-tvm/issues/4634) - Add parses support for SLICE [#4502](https://github.com/apache/incubator-tvm/issues/4502) - Added pool autopadding and simplified converters. [#4672](https://github.com/apache/incubator-tvm/issues/4672) - Fix meaning of conv2d_transpose output_padding parameter [#4318](https://github.com/apache/incubator-tvm/issues/4318) - Use packed func macro for external codegen [#4710](https://github.com/apache/incubator-tvm/issues/4710) - Fix _parse_param bug [#4711](https://github.com/apache/incubator-tvm/issues/4711) - Add constant input support for elemwise ops [#4666](https://github.com/apache/incubator-tvm/issues/4666) - Add parser support for squared difference [#4652](https://github.com/apache/incubator-tvm/issues/4652) - Add type check to dense [#4724](https://github.com/apache/incubator-tvm/issues/4724) - Invoke tvm::build from relay compile_engine and interpreter [#4723](https://github.com/apache/incubator-tvm/issues/4723) - Broadcast condition, x, and y for Where op [#4774](https://github.com/apache/incubator-tvm/issues/4774) - Add parser support for relational ops [#4695](https://github.com/apache/incubator-tvm/issues/4695) - Remove duplicated BindParamByName function in VM compiler [#4793](https://github.com/apache/incubator-tvm/issues/4793) - Use SimplifyInference for L2 Normalization. [#4795](https://github.com/apache/incubator-tvm/issues/4795) - Expose vm OptimizeModule to Python [#4800](https://github.com/apache/incubator-tvm/issues/4800) - Add parser support for logical operators [#4642](https://github.com/apache/incubator-tvm/pull/4642) - Conv2D padding representation [#4787](https://github.com/apache/incubator-tvm/pull/4787) - Add support for quantized LOGISTIC [#4696](https://github.com/apache/incubator-tvm/pull/4696) - Fix VM compiler for while loop with free vars [#4889](https://github.com/apache/incubator-tvm/pull/4889) - Fix bug in re-processing call node in MergeComposite pass [#4879](https://github.com/apache/incubator-tvm/pull/4879) - Expose FunctionGetAttr to Python [#4905](https://github.com/apache/incubator-tvm/pull/4905) - Add a PyTorch to Relay Parser [#4497](https://github.com/apache/incubator-tvm/pull/4497) - Support data types for CSourceModuleCodegen args and output [#4934](https://github.com/apache/incubator-tvm/pull/4934) - Clean up and refactor PyTorch frontend [#4944](https://github.com/apache/incubator-tvm/pull/4944) - Relay pass to use fast exp/tanh [#4873](https://github.com/apache/incubator-tvm/pull/4873) - BatchNorm support with run-time mean and variance calculation [#4990](https://github.com/apache/incubator-tvm/pull/4990) - Reduce plevel of conv2d winograd implementation on cuda [#4987](https://github.com/apache/incubator-tvm/pull/4987) - Add operation tan to TVM [#4938](https://github.com/apache/incubator-tvm/pull/4938) - Outline and inline lifted functions for external codegen [#4996](https://github.com/apache/incubator-tvm/pull/4996) - Remove primitive attribute from composite function [#5014](https://github.com/apache/incubator-tvm/pull/5014) - Refactor Relay Python to use new FFI [#5077](https://github.com/apache/incubator-tvm/pull/5077) - Fix relay node registration after refactor [#5083](https://github.com/apache/incubator-tvm/pull/5083) - Codegen_c.h should include relay.function [#5093](https://github.com/apache/incubator-tvm/pull/5093) - Move expr.Function to function.py [#5087](https://github.com/apache/incubator-tvm/pull/5087) - Propagate constant to subgraphs [#5094](https://github.com/apache/incubator-tvm/pull/5094) - Adjust strategy plevel to achieve expected performance by default [#5118](https://github.com/apache/incubator-tvm/pull/5118) - Added a AnnotatedRegion utility class [#5030](https://github.com/apache/incubator-tvm/pull/5030) - Support TupleGetItem in body of pattern [#5106](https://github.com/apache/incubator-tvm/pull/5106) - Partition graph codestyle fixes [#5202](https://github.com/apache/incubator-tvm/pull/5202) - Re-wrote the Graph Partitioner to support multiple outputs [#5143](https://github.com/apache/incubator-tvm/pull/5143) - Fixes to MergeCompilerRegions [#5195](https://github.com/apache/incubator-tvm/pull/5195) - Refactor build module to take IRModule [#4988](https://github.com/apache/incubator-tvm/pull/4988) - Separate analysis and transform passes [#5035](https://github.com/apache/incubator-tvm/pull/5035) - Relay Node::make to constructor [#5128](https://github.com/apache/incubator-tvm/pull/5128) - relay::StructuralHash to tvm::StructuralHash [#5166](https://github.com/apache/incubator-tvm/pull/5166) - Conditions updated to cover better user scenarios [#5043](https://github.com/apache/incubator-tvm/pull/5043) - Replace UseDefaultCompiler with GetAttr [#5088](https://github.com/apache/incubator-tvm/pull/5088) - Return empty CSourceModule when no lowered_funcs exists in Relay mod [#4847](https://github.com/apache/incubator-tvm/pull/4847) - [Runtime][Relay][Cleanup] Clean up for memory pass to enable heterogenous execution support. (#5324) - [RELAY] Remove re-exports of tvm.transform (#5337) - [Refactor] Add memoized expr translator for use by backend codegen (#5325) - Legalize - Use Non-recursive Rewriter. (#5296) - Add additional check before re-using the cached match [#5552](https://github.com/apache/incubator-tvm/pull/5552) - Remove kCompiler attr from external functions [#5615](https://github.com/apache/incubator-tvm/pull/5615) - Pattern Language MergeComposite [#5656](https://github.com/apache/incubator-tvm/pull/5656) - Support Tuple Output in C/DNNL Codegen [#5701](https://github.com/apache/incubator-tvm/pull/5701) - Infer types in MergeComposite [#5766](https://github.com/apache/incubator-tvm/pull/5766) - Convert PatternGrouper to do pre-order, non-recursive analysis [#5653](https://github.com/apache/incubator-tvm/pull/5653) - Remove constants from partitioned functions [#5663](https://github.com/apache/incubator-tvm/pull/5663) - Add a check for null function attributes [#5674](https://github.com/apache/incubator-tvm/pull/5674) - Add ConstantPattern [#5689](https://github.com/apache/incubator-tvm/pull/5689) - Conditionally Embedding Constants in Partitioned Functions [#5693](https://github.com/apache/incubator-tvm/pull/5693) - Simplify Pattern API Implementations [#5703](https://github.com/apache/incubator-tvm/pull/5703) - Add ShapePattern and DataTypePattern [#5760](https://github.com/apache/incubator-tvm/pull/5760) - Remove unnecessary print [#5642](https://github.com/apache/incubator-tvm/pull/5642) - Improve Shape Func handling for Tuple inputs [#5467](https://github.com/apache/incubator-tvm/pull/5467) - Relay updated with String [#5578](https://github.com/apache/incubator-tvm/pull/5578) - Fix the creation of tuple of tuples in PartitionGraph [#5616](https://github.com/apache/incubator-tvm/pull/5616) - Preserve type information in Merge Composite [#5640](https://github.com/apache/incubator-tvm/pull/5640) - Move compiler_begin/end_op to local static objects [#5622](https://github.com/apache/incubator-tvm/pull/5622) - Fix dataflow_pattern.rewrite() hang if Match in IR [#5680](https://github.com/apache/incubator-tvm/pull/5680) - Fix segfault in pretty print when ObjectRef is null [#5681](https://github.com/apache/incubator-tvm/pull/5681) - Move fallback_device to config [#5690](https://github.com/apache/incubator-tvm/pull/5690) - Replace build_config with PassContext [#5698](https://github.com/apache/incubator-tvm/pull/5698) - Clear compile engine after task extraction [#5724](https://github.com/apache/incubator-tvm/pull/5724) - Add storage_order ignore in pooling layer. [#5781](https://github.com/apache/incubator-tvm/pull/5781) - Tweak cublas/cudnn priority level [#5820](https://github.com/apache/incubator-tvm/pull/5820) - Skip Unknown Function Symbols [#5888](https://github.com/apache/incubator-tvm/pull/5888) - Allow every runtime module to handle constants [#5885](https://github.com/apache/incubator-tvm/pull/5885) - handle Tuple/TupleGetItem in first order gradient [#5946](https://github.com/apache/incubator-tvm/pull/5946) - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945) - Use TargetNode::attrs for Target serialization [#5993](https://github.com/apache/incubator-tvm/pull/5993) - each option of target str should only contain one ‘=’ [#5988](https://github.com/apache/incubator-tvm/pull/5988) - Rename target_id => target_kind [#6199](https://github.com/apache/incubator-tvm/pull/6199) - 64-bit RPi4b target [#6211](https://github.com/apache/incubator-tvm/pull/6211) - Add resnet-3d & Update network definitions for NHWC layout [#5945](https://github.com/apache/incubator-tvm/pull/5945) - Small bug fix for Conv1D imports. [#5995](https://github.com/apache/incubator-tvm/pull/5995) - Move invoke_tvm_op and shape_func to vm dialect [#5958](https://github.com/apache/incubator-tvm/pull/5958) - GRU Layer Support [#6020](https://github.com/apache/incubator-tvm/pull/6020) - Add pass for getting calibration data from a relay module [#5997](https://github.com/apache/incubator-tvm/pull/5997) - Merge two consecutive reshape ops [#6052](https://github.com/apache/incubator-tvm/pull/6052) - Add operation scatter_add to relay, based on scatter implementation. [#6030](https://github.com/apache/incubator-tvm/pull/6030) - i64 indices [#5235](https://github.com/apache/incubator-tvm/pull/5235) - Port eliminate_common_subexpr to non-recursive form [#6134](https://github.com/apache/incubator-tvm/pull/6134) - Fix interpreter for dyanmic shape input of ndarray_size [#6086](https://github.com/apache/incubator-tvm/pull/6086) - Allow to config allocator type and refactor vm code structure [#6105](https://github.com/apache/incubator-tvm/pull/6105) - Handle ndarray_size in FoldConstant [#6156](https://github.com/apache/incubator-tvm/pull/6156) - when converting constant nodes with types of int64 or float64 [#6159](https://github.com/apache/incubator-tvm/pull/6159) - Add ReshapeTensor instruction in the VM to replace the reshape op [#6089](https://github.com/apache/incubator-tvm/pull/6089) - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062) - Add unbiased variance op and corresponding support in pytorch frontend [#6232](https://github.com/apache/incubator-tvm/pull/6232) - Specify additional layouts in convert layout pass [#5422](https://github.com/apache/incubator-tvm/pull/5422) - Safe check added for Merge Composite Call Node [#5562](https://github.com/apache/incubator-tvm/pull/5562) - Non recursive partitioning [#5493](https://github.com/apache/incubator-tvm/pull/5493) - Support combine multiple dense op just into dense [#6062](https://github.com/apache/incubator-tvm/pull/6062) - Make the max number of fused ops configurable [#6327](https://github.com/apache/incubator-tvm/pull/6327) - Implementation of the dynamic pad operator [#6284](https://github.com/apache/incubator-tvm/pull/6284) - change device annotation from post DFS to recursive [#6124](https://github.com/apache/incubator-tvm/pull/6124) - Make check stricter: disallow inserting function with free vars into module [#6313](https://github.com/apache/incubator-tvm/pull/6313) - Make check stricter by using Feature. Fixed multiple bugs [#6326](https://github.com/apache/incubator-tvm/pull/6326) - Resize support for NCHW-convertible layouts [#6293](https://github.com/apache/incubator-tvm/pull/6293) - Make AutoDiff thread through global function [#6336](https://github.com/apache/incubator-tvm/pull/6336) - Create Interpreter for each constant subgraph [#6195](https://github.com/apache/incubator-tvm/pull/6195) - Add Dynamic reshape to a dynamic namespace and add DynamicToStatic Pass [#5826](https://github.com/apache/incubator-tvm/pull/5826) - Expose relay BindParamsByName to Python [#4751](https://github.com/apache/incubator-tvm/issues/4751) - Implement pass manager tracing API [#4782](https://github.com/apache/incubator-tvm/issues/4782) - Move Ops in relay.op.contrib.* [#4942](https://github.com/apache/incubator-tvm/pull/4942) - Conditions updated to cover better user scenarios [#4951](https://github.com/apache/incubator-tvm/pull/4951) - [External codegen] Add test cases for fused ops with manual annotation ([#4741](https://github.com/apache/incubator-tvm/pull/4741)) - Multiple output support, reshape, split ops added [#6296](https://github.com/apache/incubator-tvm/pull/6296) ## Operator Coverage - Allow empty tensor for reshape, tile and strided_slice [#4618](https://github.com/apache/incubator-tvm/issues/4618) - Fix meaning of conv2d_transpose output_padding parameter"; [#4708](https://github.com/apache/incubator-tvm/issues/4708) - Remove cpp upsampling and resize op [#4769](https://github.com/apache/incubator-tvm/issues/4769) - upsample operator 'NCHWinic' format support. [#4791](https://github.com/apache/incubator-tvm/pull/4791) - Injective schedule improvement [#4786](https://github.com/apache/incubator-tvm/pull/4786) - Enable vectorization on fp16 type [#4867](https://github.com/apache/incubator-tvm/pull/4867) - Support for Int8 schedules - CUDA/x86 [#5031](https://github.com/apache/incubator-tvm/pull/5031) - New PR to re-add tan to TVM [#5025](https://github.com/apache/incubator-tvm/pull/5025) - Register topi schedule for Relay fast_exp and fast_tanh [#5131](https://github.com/apache/incubator-tvm/pull/5131) - Move Dilation2d from nn to image namespace [#5110](https://github.com/apache/incubator-tvm/pull/5110) - Use Thrust sort for argsort and topk [#5097](https://github.com/apache/incubator-tvm/pull/5097) - Conv2d and Dense ops support on Tensor Core [#5099](https://github.com/apache/incubator-tvm/pull/5099) - Setting workload correctly for Depthwise Spatial conv ARM. [#5182](https://github.com/apache/incubator-tvm/pull/5182) - Adding a few missing math intrin [#5011](https://github.com/apache/incubator-tvm/pull/5011) - Missing vectorize for depthwise conv2d. [#5196](https://github.com/apache/incubator-tvm/pull/5196) - [TOPI] Using x86 schedules for ARM conv2d ([#5334](https://github.com/apache/incubator-tvm/pull/5334)) - [TOPI-ARM] Do not alter layout if layout is NHWC ([#5350](https://github.com/apache/incubator-tvm/pull/5350)) - [TOPI] Setting workload correctly for Depthwise Spatial conv ARM. ([#5182](https://github.com/apache/incubator-tvm/pull/5182)) - [Relay][OP] Add fast_erf implementation ([#5241](https://github.com/apache/incubator-tvm/pull/5241)) - [Topi] Tensorcore support for Conv3D ([#5284](https://github.com/apache/incubator-tvm/pull/5284)) - [intrin] a few more math functions ([#5468](https://github.com/apache/incubator-tvm/pull/5468)) - [Intrinsic] Add log1p, ldexp, atan2, hypot, nextafter, copysign ([#5312](https://github.com/apache/incubator-tvm/pull/5312)) - [relay][topi] Add operation relay.nn.dilate() which calls topi.nn.dilate() ([#5331](https://github.com/apache/incubator-tvm/pull/5331)) - [Topi x86] Missing vectorize for depthwise conv2d. ([#5196](https://github.com/apache/incubator-tvm/pull/5196)) - [TOPI x86] Adding unroll_kw config option for depthwise conv2d. (#5197) - [Topi] Breakdown [topi.cc](http://topi.cc/) into smaller files ([#5253](https://github.com/apache/incubator-tvm/pull/5253)) - ReduceLogSumExp Operator support [#5453](https://github.com/apache/incubator-tvm/pull/5453) - Math ops added [#5502](https://github.com/apache/incubator-tvm/pull/5502) - Enable blocking format in x86 conv2d and fold scale axis [#5357](https://github.com/apache/incubator-tvm/pull/5357) - Add operation gather to relay. [#5716](https://github.com/apache/incubator-tvm/pull/5716) - Add storage_order ignore in pooling layer. [#5781](https://github.com/apache/incubator-tvm/pull/5781) - Fix bifrost spatial packing conv2d auto tune [#5684](https://github.com/apache/incubator-tvm/pull/5684) - Fix reshape usage in ARM schedule [#5732](https://github.com/apache/incubator-tvm/pull/5732) - Block sparse dense on cuda [#5746](https://github.com/apache/incubator-tvm/pull/5746) - Improve CUDA softmax scheduling [#5600](https://github.com/apache/incubator-tvm/pull/5600) - block sparse dense on cuda [#5746](https://github.com/apache/incubator-tvm/pull/5746) - pass-by-value -> pass-by-const-reference [#5783](https://github.com/apache/incubator-tvm/pull/5783) - Using MKL blas for quantized dense [#6115](https://github.com/apache/incubator-tvm/pull/6115) - topi -> tvm/topi [#6186](https://github.com/apache/incubator-tvm/pull/6186) - Use auto-tuner to improve conv2d_gemm performance [#6117](https://github.com/apache/incubator-tvm/pull/6117) - Improve CUDA conv2d_transpose_nchw [#4762](https://github.com/apache/incubator-tvm/issues/4762) - Add CUDA conv2d for NHWC layout [#4737](https://github.com/apache/incubator-tvm/issues/4737) - conv3d_ndhwc schedule [#4775](https://github.com/apache/incubator-tvm/issues/4775) - Fast exponent [#4790](https://github.com/apache/incubator-tvm/pull/4790) - Add Scatter to Topi/Relay/ONNX via hybrid script [#5619](https://github.com/apache/incubator-tvm/pull/5619) - Split MKL from BLAS. [#6182](https://github.com/apache/incubator-tvm/pull/6182) - Change the meaning of conv3d_transpose output_padding to match conv{1,2}d_transpose [#6065](https://github.com/apache/incubator-tvm/pull/6065) - Gather op support added [#6013](https://github.com/apache/incubator-tvm/pull/6013) ## Runtime and Backend - Cythonize NDArray.copyto ([#4549](https://github.com/apache/incubator-tvm/pull/4549)) - Unified Object System runtime refactor ([#4578](https://github.com/apache/incubator-tvm/pull/4578), [#4581](https://github.com/apache/incubator-tvm/pull/4581), [#4603](https://github.com/apache/incubator-tvm/pull/4603)) - VM profiler: sort VM stats by time ([#4601](https://github.com/apache/incubator-tvm/pull/4601)) - Update RPC runtime to allow remote module as arg ([#4462](https://github.com/apache/incubator-tvm/pull/4462)) - Refactorying system lib and dso lib into library module ([#4481](https://github.com/apache/incubator-tvm/pull/4481)) - Improve TSIM virtual memory mapping ([#4545](https://github.com/apache/incubator-tvm/pull/4545)) - make adt tag signed [#4605](https://github.com/apache/incubator-tvm/issues/4605) - Improve TVMBackendPackedCFunc to allow return val [#4637](https://github.com/apache/incubator-tvm/issues/4637) - EdgeTPU runtime for Coral Boards [#4698](https://github.com/apache/incubator-tvm/issues/4698) - Fix memory leak when using openMP [#4811](https://github.com/apache/incubator-tvm/issues/4811) - Fix memory leakage of TVMByteArray [#4856](https://github.com/apache/incubator-tvm/pull/4856) - Fix TVM_DLL_EXPORT_TYPED_FUNC to work on Windows [#4955](https://github.com/apache/incubator-tvm/pull/4955) - Fix memory leak when using openMP [#4811](https://github.com/apache/incubator-tvm/pull/4811) - Export GraphRuntime in tvm_runtime.dll [#5002](https://github.com/apache/incubator-tvm/pull/5002) - MISRA-C compliant TVM runtime [#3934](https://github.com/apache/incubator-tvm/pull/3934) - Update the type_keys to reflect the code-org [#5074](https://github.com/apache/incubator-tvm/pull/5074) - Fix AttrEqual for Array and StrMap, double [#5054](https://github.com/apache/incubator-tvm/pull/5054) - Export GraphRuntime in tvm_runtime.dll [#5002](https://github.com/apache/incubator-tvm/pull/5002) - Fix unused-value warning [#5140](https://github.com/apache/incubator-tvm/pull/5140) - crt error handling [#5147](https://github.com/apache/incubator-tvm/pull/5147) - Bundle deployment with static linking [#5158](https://github.com/apache/incubator-tvm/pull/5158) - Implemented kDLCPUPinned (cudaMallocHost) [#4985](https://github.com/apache/incubator-tvm/pull/4985) - Explicitly cast min/max operands [#5090](https://github.com/apache/incubator-tvm/pull/5090) - ref_counter -> ref_counter_ [#5184](https://github.com/apache/incubator-tvm/pull/5184) - Expose runtime::String to Python ([#5212](https://github.com/apache/incubator-tvm/pull/5212)) - [PY][FFI] Refactor runtime.String to subclass str ([#5426](https://github.com/apache/incubator-tvm/pull/5426)) - [RUNTIME] Auto conversion from str to runtime::String in PackedFUnc ([#5251](https://github.com/apache/incubator-tvm/pull/5251)) - [RUNTIME] Improved Packed FFI for optional. ([#5478](https://github.com/apache/incubator-tvm/pull/5478)) - [Hexagon] Add hexagon_posix.cc to TVM/RT sources in the right place (#5346) - [PY][FFI] Refactor runtime.String to subclass str (#5426) - Fix workspace [#5503](https://github.com/apache/incubator-tvm/pull/5503) - Store nullptr PackedFunc as nullptr for better error propagation [#5540](https://github.com/apache/incubator-tvm/pull/5540) - Improve PackedFunc robustness [#5517](https://github.com/apache/incubator-tvm/pull/5517) - Seg fault in WorkspacePool's destructor (#5632) [#5636](https://github.com/apache/incubator-tvm/pull/5636) - Resolve constexpr issue in debug mode. [#5651](https://github.com/apache/incubator-tvm/pull/5651) - Add compile_shared option to linux compile utility fn [#5751](https://github.com/apache/incubator-tvm/pull/5751) - Call sync in CopyFromRemote and CopyToRemote [#5512](https://github.com/apache/incubator-tvm/pull/5512) - Fix the multihop cpu case [#5522](https://github.com/apache/incubator-tvm/pull/5522) - Improve RPCServer AsyncIO support. [#5544](https://github.com/apache/incubator-tvm/pull/5544) - Modularize the RPC infra [#5484](https://github.com/apache/incubator-tvm/pull/5484) - Add compile_shared option to linux compile utility fn [#5751](https://github.com/apache/incubator-tvm/pull/5751) - Overload string operators [#5806](https://github.com/apache/incubator-tvm/pull/5806) - Only initialize required module [#5926](https://github.com/apache/incubator-tvm/pull/5926) - if a param not in input, we should still consume it’s data [#5990](https://github.com/apache/incubator-tvm/pull/5990) - init TVMPackedFunc’s name [#6044](https://github.com/apache/incubator-tvm/pull/6044) - Enable auto conversion String->DLDataType [#6214](https://github.com/apache/incubator-tvm/pull/6214) - Support random fill [#5913](https://github.com/apache/incubator-tvm/pull/5913) - Use new to avoid exit-time de-allocation order [#6292](https://github.com/apache/incubator-tvm/pull/6292) - Add parallel_for support to run a loop in parallel [#6275](https://github.com/apache/incubator-tvm/pull/6275) - Solve ARM BIG.LITTLE heterogeneous multicores [#4747](https://github.com/apache/incubator-tvm/issues/4747) - [RUNTIME] Quick fix PackedFunc String passing ([#5266](https://github.com/apache/incubator-tvm/pull/5266)) - Introduce runtime::String::CanConvertFrom [#5718](https://github.com/apache/incubator-tvm/pull/5718) - Restore the StrMap behavior in JSON/SHash/SEqual [#5719](https://github.com/apache/incubator-tvm/pull/5719) - Support overriding RPCWatchdog termination behavior on Android and other platforms [#6216](https://github.com/apache/incubator-tvm/pull/6216) - Set NDArray::Container.shape_ in NDArray::FromDLPack ([#5301](https://github.com/apache/incubator-tvm/pull/5301)) - Enable x86 cpu cache flush [#5914](https://github.com/apache/incubator-tvm/pull/5914) -- You are receiving this because you are subscribed to this thread. 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