* [topi] add ARM v8.2 udot (uint8) support

* fix test case

* fix common conv2d schedule

* add back fp32_time in test

* fix lint

* fix doc, add support for int32_lanes=4, signed int

* fix lint

* add ic_bn % 4 checker in schedule

[TOPI][x86] Introduce schedule_injective_from_existing and unify external schedules for all targets (#3983)

* Fix extern schedule for x86

* Register x86::schedule_extern

* Fix

* Fix

* Replace extern.py with extern.h

* Introduce new generic function schedule_injective_from_existing

* Fix

* Fix

* Add back to C++

* Fix style

* Injective schedule calls local schedule_injective_from_existing

* Fix

* Remove target arg from schedule_injective_from_existing

* Fix docs

* Try to fix unit test

* Fix test

* Fix other tests

* Fix bug

More schedules are making the conv2d.py file too large, so
we'd like to move the spatial pack schedule to dedicated file
before introducing NHWC schedule. No logic change in this patch.

This reverts commit 23727eb4.

* Added tesnorizeation for avx2 based gemm.

Summary:
Tensorized the same region as avx512. Names produce 16x1 int32 results.
Does by doing two sets of AVX2 instructions to do reduction on 8x4 int8
kernel with 1x4 data.

Test Plan:
on avx2 machine:
python tests/python/contrib/test_gemm_avx2_acc32.py

Reviewers:

Subscribers:

Tasks:

Tags:

* Fix lint errors. Removed commented out code.

Summary:

Test Plan:

Reviewers:

Subscribers:

Tasks:

Tags:

* add expr `isnan`

* move to intrinsic

* doc & add to topi

* fix error from ci

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

* 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

* [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

* Enable miopen transpose convolution and fp16 support

* linter

* Refine policies for define_split

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

* Refine search space

* add doc

* Support cuBLAS BatchMatMul

* Add test and check target name

* support LLVM trunk

* guard with USE_LLVM in if condition for c++14

* GREATER_EQUAL -> GREATER

* [Arm] parallel batch axis

* add more ops

* stop vectorization for erf

* x

* cleanup

* fix

* add whitelist for vectorizable intrin

* add tf converter

* fix dense

* fix

* add missing intrin

* fix mxnet frontend

* fix nvptx

* update lint

* lint fixed

* lint updated

* lint fixed

* lint fixed

* lint fixed

* updates

* add intel graphics as a package

* remove print info

* depthwise conv2d schedule added for intel graphics

* asdf

* fix lint

* fix lint

* fix ci

* add channels

* Added arm_cpu NHWC schedules.

* Fixed kernel shape legalization.

* Added bitserial ops to relay.

* Snapshot and more missing files.

* Added dense testing.

* Added tests

* Added ASF header to new files.

* cc lint

* Pylint change.

* pylint fixes.

* Change arm legalize test.

* Added assert check to arm legalize.

* Added better documentation, fixed some bad style

* Reverted arm conv2d nhwc changes.

* Add one-hot to Relay

* topi implementation

* Working

* add topi test

* Add TF test

* Fix check

* fix linting issues

* fix documentation

* Fix documentation

* Add support for on_value, off_value, axis, dtype

* Add full support for axis

* Fix compute and update test_forward

* Move on_value and off_value to inputs

* Add topi test

* Update tests

* Update docs

* Fix style

* re-enable tests

* Add one_hot to mxnet converter

* Support cblas library in dense

* start to add support for generic batch_matmul compute

* Add x86 override for batch_matmul

* Fix linting

* reset file

* Fix typos

* dummy change to re-trigger CI

* Added relay and topi mirror_pad operator.

* Added mirror_padding to tensorflow frontend.

* Added mirrorpad testing in tensorflow frontent.

* Added space_to_depth in tf frontend.

* Added tests for spacetodepth.

* spacetodepth bug fix.

* Lint fix

* Added mirror pad python attrs.

* Pad code formatting.

* Syntax improvement

* Hopefully last lint fix

* Fix mxnet converter for hybrid block

* tweak

* fix rebase

* fix

* add test

* Fix the tile_rx and tile_ry issue.

    Note that this patch depends on pull request #9 in tvm-distro.

* add build gcn tutorial

* add transpose operator for square sparse matrices

* remove extra files

* change loop tag

* comply with lint

* comply with lint -- line too long

* comply with lint

* lint check

* lint check

* lint check

* apply marisa and theirry's reviews

* Update Softmax compute and CPU schedule

* Add C++ compute

* Fix schedule

* Update CUDA and OpenGL schedules

* Fix log_softmax

* Fix hls and opengl schedules

* Fix CUDA schedule

* [TOPI] Memoize winograd matrix

* lint

* Fix name

The patch adds support for Tensorflow operators log1p and cos
Tensorflow log1p is described at https://www.tensorflow.org/api_docs/python/tf/math/log1p
Tensorflow cos is described at https://www.tensorflow.org/api_docs/python/tf/math/cos
Tensorflow sin is described at https://www.tensorflow.org/api_docs/python/tf/math/sin

* [TOPI][CUDA] schedule for group_conv2d

* Fix #flops