* [HEADER] ASF header dir=include

* [HEADER] ASF Header dir=src

* [HEADER] ASF Header -dir=python

* [HEADER] ASF header dir=topi

* [HEADER] ASF Header dir=nnvm

* [HEADER] ASF Header -dir=tutorials

* [HEADER] ASF Header dir=tests

* [HEADER] ASF Header -dir=docker

* fix whitespace

* [HEADER] ASF Header -dir=jvm

* [HEADER] ASF Header -dir=web

* [HEADER] ASF Header --dir=apps

* [HEADER] ASF Header --dir=vta

* [HEADER] ASF Header -dir=go

* temp

* [HEADER] ASF Header --dir=rust

* [HEADER] Add ASF Header --dir=cmake

* [HEADER] ASF Header --dir=docs

* [HEADER] Header for Jenkinsfile

* [HEADER] ASF Header to toml and md

* [HEADER] ASF Header to gradle

* Finalize rat cleanup

* Fix permission

* Fix java test

* temporary remove nnvm onnx test

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

* [SCHEDULE][PASS] Enable Warp memory and lower to shuffle

* OpenCL dispatches for now to intel shuffle

* [BACKEND] Vulkan Runtime and SPIRV Codegen

* fix doc

* Ported injective schedules to C++. Added some elementwise ops.

* Fix lint errors

* Added reduction ops and schedules

* Fix lint errors

* Fix lint errors

* Fix lint errors

* Added transform ops

* Fix lint errors

* Fix lint errors

* Added softmax, log_softmax, leaky_relu and flatten ops.
Fixed issue where TVM_DECLARE_INTRIN_UNARY used the PureExtern flag
instead of PureIntrinsic.
Added softmax CUDA schedule.

* Fix lint

* Fix lint

* Added binary_dense, batch_norm_inference, dense, dilate, scale_shift_*,
global_pool and pool ops.
Extended pad to allow specifying pad_value.
Fixed issue where pad would throw if padding was zero in all dimensions.

* Fix lint

* Fix lint

* Added CUDA schedules for dense, pool and global_pool

* Added extern schedules for generic and CUDA

* Fix lint

* Added x86 binary schedules

* Fix lint

* Added rocm dense schedule. Added rocBLAS and cuBLAS support to dense ops

* Added pow ops. Added x86 default and injective schedules

* Fix lint

* Fix lint

* Fix lint

* Fix lint

* Fix lint

* Fix indent

* Removed schedules directory

* Changed left_shift, right_shift to operators. Changed pad_value in pad() to remove pointer usage

* Fixed usage of pad in nn/pooling.h. Fixed declaration of operator>>

* Fixed comments for shift operators

* Added comments to utility functions

* Added TOPI C++ library, exporting broadcast_add op

* Fix lint

* Share libinfo.py with TVM

* Fix lint

* Add other broadcast ops

* Fix lint

* Fix imports in topi

* Fix lib names

* Fixed build issue where windows builds don't apply correct definitions

* Removed TVM_EXPORTS from topi library

* Attempted CI build fix

* Add topi lib to tvm_multilib

* Fix Jenkinsfile

* Added TOPI build target to Makefile

* Fix nn op namespaces.

* Fix lint

* Renamed TOPI lib to libtvm_topi

* Removed _ffi/base.py

* Remove _ffi from topi, now shared with tvm.

* Make libtvm_topi loading optional

* Fix compiler warnings

* Fix lint

* Fix lint

* Fix lint

* Fix build error by making new libs argument to Target optional

* Added C++ Target type interop. Added registration of remaining C++ ops and schedules. Added test of broadcast ops

* Fix lint

* Fix lint

* Fix compile error

* Fix compiler warnings

* Fix compiler warnings

* Fixed int vector interop. Fixed argmin incorrectly invoking argmax. Fixed corner case in default schedules of attempting to fuse 0 length axes. Added tests for reduce ops.

* Refactored reduce builders

* Fixed typos in topi.cc. Added basic test.

* Fixed padding size error. Added dense, dilate, pooling tests

* Fixed issue where clip would output a different dtype to the input. Added split_sections op to cover the other mode of the python split op. Added tests.

* Changed extension type numbers to avoid clash with NNVM

* Fix lint

* Fix compiler warnings

* Removed use of std::vector from the public TOPI API

* Fix lint

* Add TOPI C++ tests to CI

* Fixed detail namespacing. Improved comments.

* [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

In unroll_loop.cc the parameter name is "auto_max_depth", but in ir_pass.h the parameter name is "auto_min_depth"

* [PASS/SETUP] Fix minior issues

* fix lint

* [PASS] copy intrin

* update comment thanks to derisavi

* [PASS] Refactor thread storage sync to a common visitor

* Fix the sync scope check behavior

* [STORAGE][BUFFER] Support access ptr for clear access pattern.

* fix lint

* 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

* [RUNTIME] Add workspace pool

* fix doc

* fix the free list

* avoid zero size

* [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