Bumps [actions/checkout](https://github.com/actions/checkout) from 3 to 4.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/checkout/compare/v3...v4)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Co-authored-by: theflyingzamboni <theaerialzamboni@gmail.com>

Signed-off-by: daquexian <daquexian566@gmail.com>

* reset device check dtype kind int

* placeholder for ncnn sign

* convert torch maximum minimum

* torch.max as expression

* torch.min as expression

* Add logxxx to log comp xxx rewriter

* Use pattern matching for LogSigmoid and LogSoftmax

* Add conversion passes for functional counterparts

* Update documentation

Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.13.1 to 2.15.0.
- [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/v2.13.1...v2.15.0)

---
updated-dependencies:
- dependency-name: pypa/cibuildwheel
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Add POWER8 VSX toolchains

POWER8, though slower than POWER9, is still used in the wild; these
toolchains should still be much faster on POWER8 than POWER8 without VSX
optimizations.

* VSX toolchains: set -cpu arg in QEMU CI tests

* enable VK_KHR_cooperative_matrix
* add khr cm shader
* update glslang
* print matrix info

Tensor.fill
Tensor.index_put
Tensor.to
Tensor.type_as
torch.topk
fmod
call Tensor member functions with inputnames
static shape_as_tensor
nn.Linear dynamic bias
eliminate noop type_as
convert two-dim nn.Linear to ncnn gemm
convert torch.stack to ncnn concat+reshape
ignore torch einsum path input

Improves compatibility with Clang 11.

Also rename NCNN_SSE* options to NCNN_VSX_SSE* to avoid conflict between
x86 and POWER (went unnoticed before because x86 doesn't have an option
for toggling SSE 4.1).

Co-authored-by: Jeremy Rand <jeremyrand@danwin1210.de>