# 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) -- You are receiving this because you are subscribed to this thread. 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