The pass which instruments checkers before
memory accesses (load/store).
This allows to handle invalid memory accesses.

The patch is related to issue:
https://discuss.tvm.ai/t/array-bounds-checking/944

[TOPI][GL] OpenGL topi.

* Support rank-0 tensor

* fix lint

* [BUFFER] Smarter slice to detect compactness

* move simplify of begins early

* [SCHEDULE][PASS] support storage_align of certain axis

* fix lint

* [TEST] Upgrade gpu docker to cudnn7

* fx

* [RUNTIME][PASS] Allow declare vector type array

* fix bcast

* [BUFFER] Enable vload/store function in buffer

* ok

* [SCHEDULE] Remap the cached bind_scope.

* more fix

* prefetch interface added

* prefetch python comments modified. prefetch info data structure maintained.

* start injecting prefetches. first step (domain touch) implemented.

* domain touch tested.

* Prefetch ir_mutator and ir_visitor dispatch registered.

* modify domain touched from passing a func_ref to passing a tensor

* modify domain touched from passing a func_ref to passing a tensor

* modify Tensor copy to Tensor ref

* temp commit for rebase

* debug info removed, typo fixed, ready to rebase

* prefetch flatten test add!

* roll back builtin functions to side effect functions

* lint error fixed!

* add cache line size to storage flatten argument

* forgot modifications add

* change code style to dmlc-like; get rid of can_prove, use manually compute instead

* python lint error fixed

* modify instrinsic name to pass tests

* [TEST] get rid of str(), replace them by accessing attributes

* change map to list comprehension

* redundant numpy import removed

* [C API] Make DSL API registerable, add copy from/to raw bytes

* fix cython

* [CODEGEN/PASS] add restricted, alignment option

* fix lint

* Fix the alloca

* [REFACTOR/PASS] Formalize argument bind and match util

* grammar

* Support for batch ComputeOp

* Support for batch ComputeOp

* Fix CrossThreadReduction

* Fix lint

* Add UpdateArray, remove support for batch reduce

* Tuple input support for reduce

* rfactor works with multiple reducer; support multiple reducers with different types

* Small fix

* Small fix

* Change return type of rfactor to Array<Expr>

* Fix lint

* Improve

* Add tutorial

* Improve tutorial

* Improve tutorial

* [OP/LANG] Support Extern Call, more regression tests

* [TEST] Include pylintrc

[TEST/PYTHON] Add unittest folder, add a build pipeline. Rename Buffer.ptr to Buffer.data to be consistent with Array. (#29)