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>

Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.13.0 to 2.13.1.
- [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/v2.13.0...v2.13.1)

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

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

* fix build, prepend batch for broadcast reshape

* sanitize filename

* do not fuse to eltwise if broadcast

* Add POWER9 VSX toolchains

Translating x86_64 SSE to ppc64le VSX intrinsics yields a quite large
speedup on POWER9. See this article for background:

https://www.talospace.com/2019/07/easier-power-vectorizing-for-fun-and.html

* Add power9le docs

* power9le clang toolchain: Document Clang 13+ requirement

---------

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

* fix non-sse non-neon weight pack

* update riscv qemu

* c906 test on qemu

* fix qemu aarch64

* simplify binaryop

* less gpu test

* update binaryop broadcast doc

* do not test atan2 zero

* write shape, fuse sam image encoder attention

* set more dynamic shape as static

* less warning for constant tensor node

fuse F.scaled_dot_product_attention

Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.12.3 to 2.13.0.
- [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/v2.12.3...v2.13.0)

---
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>