* Refactor to create abstract ParallelOpCombiner

* First draft of CombineParallelDense

* Begin to work on tests

* Test

* Refactor to move out more common code

* Clean up

* Fix

* Remove statics

* fix wording

* Start to add combine_parallel_op_batch

* Resolve PR comments

* Resolve PR comments

* dummy change to retrigger CI

* Change special case from bias_add to add

* Revert special case change

* Ignore units check

* dummy change to retrigger CI

* dummy change to re-trigger CI

* Improve docs

* Update docs

* Update docs

* Add Erf to ONNX frontend

* dummy change to retrigger CI

* Qnn Dense layer.

* Reformatting code.

* Reformatting code and making the test case more readable.

* Fixing lint issues.

* Fixing test method names to pass the nose related configurations.

* Aligning the code for code style.

* add expr `isnan`

* move to intrinsic

* doc & add to topi

* fix error from ci

* enable group conv through miopen

* linter fix

* Fix unittest

* Fix pylint error: Line 915 too long

* Fix the conflicting files

* frontend operator support: space_to_batch_nd

* add test case for frontend operator support: space_to_batch_nd

* add test case for frontend operator support: space_to_batch_nd

* frontend operator support: space_to_batch_nd

* Fix ValueError: don't know how to convert type <class 'numpy.ndarray'> to node

* [Relay][Frontend][ONNX] operator support: Tile

* Trigger notification

* [ARITH] Add Lowering rule for FloorDiv/Mod

* add comment about constant folding

MXNet pad is described at:
https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.pad

Add support for parameter 'None' in MXNet slice operator.

MXNet 'slice' is described at
https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.slice

Add support for MXNet cos, sin, arctan

MXNet 'cos' is described at
https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.cos

MXNet 'sin' is described at
https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.sin

MXNet arctan is descirbed at
https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.arctan

Add support for MXNet 1D Convolution and 1D Deconvolution

MXNet convolution is described at:
https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.Convolution

MXNet Deconvolution is described at:
https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.Deconvolution

* add proper scheduling for dense on CUDA

* add fallback config and fix unit test

* fix corner cases

* refactoring

* fix bias and add testcase

* let fusion happen

adjust pylint output to show file location to make it possible to locate errors

* [Relay] add shape check for concat

* [Relay] add shape check for stack

* add test case for shape mismatch

* [typo] add the missing assert

* fix lint errors.

* replace int with size_t.

* statically cast param->axis to size_t.

* switch to run_infer_type.

* fix checking for negative index

* add static_cast for param->axis

* merge to latest tvm

* fix lint error

* Fix an error with negative index.

* Update transform.h

* Update transform.cc

* Fix upsample layout in keras frontend.

* Fixed group conv being used instead of conv when channels=1

* Add new conv2d test to catch bugs when channels=1.

* Adding support to check if an attribute is present or not without having to get the value.

* - Renaming the method to more appropriate name.

Use a hash map keyed on the descriptor set to avoid bad asymptotic behaviour.

* improve conv2d_transpose x86 performance by reusing conv2d schedule

* parallelize across batches to make large-batch conv2d and conv2d_transpose faster

* improve doc for autotvm.task.space.FallbackConfigEntity.fallback_with_reference_log

* add fallback schedule for schedule_conv2d_transpose_nchw_cuda

* fix pylint

* fix pylint

* unify conv2d_transpose declaration in topi.nn and topi.x86

* Fix graph tuner benchmarking layout transform

* Add test

* [tvm][codegen] Make buffer auto broadcast independent to the order of the input arg

* fix indent

* [TOPI] operator support: logical_and, logical_or, logical_not

* [TOPI] operator support: logical_and, logical_or, logical_not

* [TOPI] fix test cases for operator support: logical_and, logical_or, logical_not

* [TOPI] fix test cases for operator support: logical_not

* QNNLegalize for conv2d

* [QNN] Legalization for Intel x86 QNN Conv2D

* Enable miopen transpose convolution and fp16 support

* linter

* Add support for SquaredDifference and StopGradient; minor fix in BatchMatMul

* Remove stopgradient change

* Resolve PR comment

* Dummy change to retrigger CI

* dummy change to retrigger CI

* Refine policies for define_split

- Rename policy "all" to "factors"
- Add policy "verbose" and "power2"

* Refine search space

* add doc

2) Add EQ support in the loop partition and add test for the same
3) Change typo truc to trunc

Issue:
RPC path get changed into "vta_rpc" from "pynq_rpc", but related
document still use old informaiton.

Solution:
Update RPC path information.