* [SCHEDULE]enable partition const loop with build flag (#719)

    * enable partition loop with build flag

    * add a testcase, and modify LoopPartition related cases

*     * add document for split_const_loop

* [IRbuild]Support automatically Name Loop Variable in IRBuilder (#719)

    * add idx_num in class

* using typical index [i, j, k] first, then i_suffix

* keep inputs names

* fix lint

* improve comment of name

* fix lint

* [SCHEDULE]Improve bound deduce for loop partition (#743)

    * add divided checking when deducing

    * related testcase

* fix

* * transform LE and GE first
* remove is_equal
* modify testcase for edge cases checking

* * fix comment

* * fix lint

* * apply transformation form LT -> LE, GT -> GE

* * fix lint

* simplify code and testcase

* add negative co-efficient case

* More complicated cases

* add testcase

* simplify testcase

* comment case for now

* fix testcase

* [CODEGEN] use charp for voidp

* fx

* rocblas integration

* fix include

* fix lint

* modified schedule_dataflow_rewrite.cc to fix losing tensor problem

* modified schedule_dataflow_rewrite.cc for lint scan

* modified schedule_dataflow_rewrite.cc for lint scan

* using tensor's value_index to index output of stage op

* [CODEGEN] update codegen for vector operation

* update comment, fix for metal

* fix some bugs in codegen

* use 'restrict' in every argument

* fix

* fix

* add cublas support

* integrate cublas to topi dense

* add cublas error check

* minor fix

* fix lint

* remove topi import from contrib unittest

* [SCHEDULE]enable partition const loop with build flag (#719)

    * enable partition loop with build flag

    * add a testcase, and modify LoopPartition related cases

*     * add document for split_const_loop

* [IRbuild]Support automatically Name Loop Variable in IRBuilder (#719)

    * add idx_num in class

* using typical index [i, j, k] first, then i_suffix

* keep inputs names

* fix lint

* improve comment of name

* fix lint

* [SCHEDULE]enable partition const loop with build flag (#719)

    * enable partition loop with build flag

    * add a testcase, and modify LoopPartition related cases

*     * add document for split_const_loop

* use cudnn findalgo to choose the best algo

* fix lint

* when there is no intrin func, using body for initialization. For issue 714.

* Refine code per review comments, and add a test case.

* Fix lint issues.

* Re-organize the tensorize test cases, and add a new case for none-reset
mode.

* Fix a typo.

* Delete the unit case because merged it into test_schedule_tensorize.py already.

* when there is no intrin func, using body for initialization. For issue 714.

* Refine code per review comments, and add a test case.

* Fix lint issues.

* support dim-0 tensor in topi ops

revert transform

* revert

* add target.libs to target str representation

* integrate cudnn into topi cuda

* append target.libs to target.options

* add extern schedule for miopen

* fix comment

* optionally dispatch to miopen from topi

* fix lint

* check if current target is None

* use generic dispatch for rocm conv2d

* fix lint

* fix workspace bug

* remove blank line

* remove blank line

* remove blank line

* add x86_64 target

* add binary dense operator

* rebase

* improve schedule

* remove x86 target

* improve schedule

* fist working miopen support

* do FindFwdAlgo during build time

* fix lint

* update doc string

* import topi after checking if rocm is enabled

* add miopen namespace

* fixed descriptor overwrite bug

* add use_miopen option

* fix lint

* better miopen option handling

* fix typo

* fix options handling

* [CODEGEN] update codegen for vector operation

* update comment, fix for metal

* Make duplicated function name checker working

* Fix dependency checking problem for reducer condition (#712); add test

* Fix dependency checking problem for reducer condition (#712); add test

* Specify R to be computed inlined

During tensorize, call Simplify on algorithm and intrinsic definitions before CanonicalSimplify. This will prevent a number of false tensorize mismatches. (#718)

thanks, this we can use this solution for now 

* 1) removed non-determinism from CanonicalSimplify
2) added couple of testcases for CanonicalSimplify

* Use IRDeepCompare instead of comparison of string representation

* Give a warning (instead of fatal error) when two "ComExprEntry"s are equal

* Simplify expressions early on

* fixed lint errors

* 1) Refactored some parts of the unrolling code into their own methods so we can reuse unrolling functionality in other parts of the code. E.g., to explicitly unroll loops with count of 1 when they are programmatically created.
2) Reorder based on top operator before resorting to pointers, which causes non-determinism.

* Fixed lint errors

* Use long long for platforms where long is 32 bits (like windows).

* Make sure scalar chars are signed.

* Re-add NOLINT marker.

* [CODEGEN] add fp16 and fp64 enable pragma for opencl

* fix style

* Port build_module.py to C++

* Fix lint errors

* Fix more lint errors

* Fix more lint errors

* Fix more lint errors

* Fix build error

* Implemented style fixes

* Fix lint errors

* Added function to construct target from string
lower now returns array

* Fix lint error

* Implemented review changes - style & Target options -> std::vector

* Fixed lint, argument alignment and added unit test

* Changed test to target LLVM, fixed sign compare warnings

* Reverted unit test to CUDA, changed Jenkinsfile to enable GPU for C++ tests

* Slight change to Jenkinsfile

* Changed build_module test from CUDA to LLVM

* Added function var() to construct a Var instance.
Changed implementation of LLVMEnabled()

* Reverted Jenkinsfile

* [CI] Enable llvm in CPU test

* fix llvm

* Support rank-0 tensor

* fix lint

* [RANDOM] Init contrib.random library

* [RANDOM] Add uniform

* [RANDOM] Fix lint

* [RANDOM] Add comments and tests

* [RANDOM] Fix lint

* [CUDA] Enable int64

* [PYTHON] Fix rpc tutorial with opencl

* OK

* update