* convolution winograd pack16to1

* x86 deconvolution and deconvolutiondepthwise

* simpleomp allow 32 arguments

* drop shadow variable workaround

* less winograd test error

* convolution sgemm pack16to1

* convolution sgemm pack4to16

* eltwise avx512

Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 2 to 3.
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/v2...v3)

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updated-dependencies:
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Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 2 to 3.
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/v2...v3)

---
updated-dependencies:
- dependency-name: actions/upload-artifact
  dependency-type: direct:production
  update-type: version-update:semver-major
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* unified relu avx512

* unifed clip avx512

* unaryop avx512

* sigmoid avx512

* binaryop avx512

* padding convolution avx512

* convolutiondepthwise avx512

* innerproduct avx512

* reshape avx512

* slice avx512

* hardsigmoid hardswish avx512

* swish avx512

* pooling avx512

* crop avx512

* convolution sgemm pack16

* convolution 3x3 winograd pack16

* interp avx512

* convolution sgemm pack1to16

* convolution sgemm pack16to8

* convolution sgemm pack8to16

* convolution sgemm pack16to4

* fix vulkan permute pack8

* fix vulkan convolution gemm pack8to1

Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 2.1.0 to 3.
- [Release notes](https://github.com/codecov/codecov-action/releases)
- [Changelog](https://github.com/codecov/codecov-action/blob/master/CHANGELOG.md)
- [Commits](https://github.com/codecov/codecov-action/compare/v2.1.0...v3)

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* basic mips msa optimization for convolution int8

* mips msa optimization for convolution int8 gemm

* mips msa optimization for convolution int8 winograd pack8to4/pack8to1

* mention msa maddv/msubv intrinsics bug

Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.3.1 to 2.4.0.
- [Release notes](https://github.com/pypa/cibuildwheel/releases)
- [Changelog](https://github.com/pypa/cibuildwheel/blob/main/docs/changelog.md)
- [Commits](https://github.com/pypa/cibuildwheel/compare/v2.3.1...v2.4.0)

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* add:multiheadattention_arm

* pass the test in local

* add omp

* return naive

Co-authored-by: EdVince <EdVince@users.noreply.github.com>

* query and enable cooperative matrix

* fix build with old vulkan sdk

* implement cooperative matrix optimization

* add nvidia-t4 coverage

* adjust test option for more coverage

fix rect position bug.

Bumps [actions/cache](https://github.com/actions/cache) from 2.1.7 to 3.
- [Release notes](https://github.com/actions/cache/releases)
- [Commits](https://github.com/actions/cache/compare/v2.1.7...v3)

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* mix vulkan winograd f23 and f43

* larget epsilon for winograd optimization test

* implicit gemm

* unroll direct conv by 2x2x2

* vulkan local memory optimization for conv1x1 pack4 and winograd on dgpu

* unified innerproduct pipeline creation

* reorder deconvolution weight layout

* flexible local memory data type

* more local memory optimization for conv/deconv gemm

Co-authored-by: MegEngine <megengine@megvii.com>
Co-authored-by: tpoisonooo <tpoisonooo@users.noreply.github.com>

Co-authored-by: MegEngine <megengine@megvii.com>

* adapt torch 1.11.0 api changes

* find python library for torchvision linking

* vulkan deconvolution sgemm col2im

* vulkan convolution winograd43

* improve fp16s numeric stablity

* vulkan convolution im2col sgemm

* check squeezenet top2, as top3 vs top4 score too close..

* Make some typos for SSE2 floor.

* Improve the implementation of SSE2 abs.

* Improve the implementation of SSE2 ceil.

* Add SSE2 implementation of floor and ceil in x86 targets.

* apply code-format changes

* Update the SSE2 floor implementation.

Co-authored-by: MouriNaruto <MouriNaruto@users.noreply.github.com>