Co-authored-by: NArtem Kopytin <a.kopytin@antisleep.ru>

* fix(source/device/cpu/op/prelu/ref_prelu_int8()): fix bug

* fix(source/device/cpu/op/prelu/ref_prelu_int8()): fix bug

Bumps [styfle/cancel-workflow-action](https://github.com/styfle/cancel-workflow-action) from 0.10.1 to 0.11.0.
- [Release notes](https://github.com/styfle/cancel-workflow-action/releases)
- [Commits](https://github.com/styfle/cancel-workflow-action/compare/0.10.1...0.11.0)

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updated-dependencies:
- dependency-name: styfle/cancel-workflow-action
  dependency-type: direct:production
  update-type: version-update:semver-minor
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After flatten layer, the input dims 4 should be squeezed to 2. The original bug with output dims 4 is corrected.

* Bump styfle/cancel-workflow-action from 0.10.0 to 0.10.1

Bumps [styfle/cancel-workflow-action](https://github.com/styfle/cancel-workflow-action) from 0.10.0 to 0.10.1.
- [Release notes](https://github.com/styfle/cancel-workflow-action/releases)
- [Commits](https://github.com/styfle/cancel-workflow-action/compare/0.10.0...0.10.1)

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- dependency-name: styfle/cancel-workflow-action
  dependency-type: direct:production
  update-type: version-update:semver-patch
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* apply code-format changes
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Co-authored-by: Ndependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Ndependabot[bot] <dependabot[bot]@users.noreply.github.com>

fix bug, since loader may be 0x0; for example  ["StridedSlice"] = {first = 0, second = 0x0}

* migrate ci android ndk-bundle to ANDROID_NDK_LATEST_HOME env

* drop fno-integrated-as for fixing build with new android ndk

Bumps [styfle/cancel-workflow-action](https://github.com/styfle/cancel-workflow-action) from 0.9.1 to 0.10.0.
- [Release notes](https://github.com/styfle/cancel-workflow-action/releases)
- [Commits](https://github.com/styfle/cancel-workflow-action/compare/0.9.1...0.10.0)

---
updated-dependencies:
- dependency-name: styfle/cancel-workflow-action
  dependency-type: direct:production
  update-type: version-update:semver-minor
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* try to fix ci

* apply code-format changes

* Update build-and-test.yml
Co-authored-by: NBUG1989 <BUG1989@users.noreply.github.com>

* std::max_element in range [first, last)

* Comment out misleading output

* fix yolov4-tiny anchors bug

* add sub graph output

* std::max_element in range [first, last)

* Comment out misleading output

* fix yolov4-tiny anchors bug

* fix timvx bug with deconv_depthwise

* update EAIS-750E compile manul

* update yolov5s_timvx example to v6.0 version

Co-authored-by: NZhiquan Wang <wangzhiquan@axera-tech.com>

* opencl add generate_cl_binary

* remove chinese cl

* add opencl cache, fix winograd limit support yolov3

* apply code-format changes

* add opencl cache, fix winograd limit support yolov3

* apply code-format changes
Co-authored-by: Nshitouren1994 <shitouren1994@users.noreply.github.com>

Bumps [github/codeql-action](https://github.com/github/codeql-action) from 1 to 2.
- [Release notes](https://github.com/github/codeql-action/releases)
- [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md)
- [Commits](https://github.com/github/codeql-action/compare/v1...v2)

---
updated-dependencies:
- dependency-name: github/codeql-action
  dependency-type: direct:production
  update-type: version-update:semver-major
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Update README.md

更新khadas最新版本timvx编译流程

* opencl add generate_cl_binary

* apply code-format changes
Co-authored-by: Nshitouren1994 <shitouren1994@users.noreply.github.com>

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)

---
updated-dependencies:
- dependency-name: codecov/codecov-action
  dependency-type: direct:production
  update-type: version-update:semver-major
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* std::max_element in range [first, last)

* Comment out misleading output

* fix yolov4-tiny anchors bug

* Bump actions/cache from 2.1.7 to 3

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)

---
updated-dependencies:
- dependency-name: actions/cache
  dependency-type: direct:production
  update-type: version-update:semver-major
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* apply code-format changes
Co-authored-by: Ndependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Ndependabot[bot] <dependabot[bot]@users.noreply.github.com>

Tools like `onnxsim.simplify` may convert complex subgraphs into
one node with a few `Constant` nodes in `input`,
like `Expand` and `Slice` graphs exported from PyTorch.

* std::max_element in range [first, last)

* Comment out misleading output

* std::max_element in range [first, last)

* add pytengine examples with timvx

Bumps [actions/checkout](https://github.com/actions/checkout) from 2.4.0 to 3.
- [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/v2.4.0...v3)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-type: direct:production
  update-type: version-update:semver-major
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* read tensor data as numpy array instead of python list

this is faster by 700 times

* apply code-format changes

* read char tensor as numpy array instead of python list

* apply code-format changes

* change build sources aux

* change loop var type from @AddSalt8227
Co-authored-by: Nkalcohol <kalcohol@users.noreply.github.com>

* apply code-format changes

* fix python example error

* fix missing 'fprintf' 'stderr' problem

* fix missing <cstdlib> header problem.

* updated en doc to compile for NXP i.MX 8M Plus linux.

* adding timvx version mobilenet ssd

* updated makefile

* adding save func for operator maximum and minimum
Co-authored-by: NWang Feng <feng.wang1@hexagon.com>

* fix upsample support error

* add support for float type constant data loading

* support opset 11 version of clip op convertion

* support conv+clip fusion in graph_opt

* add asymmetric transformation mode support for resize op

* add hardswish fusion function support

* add hardswish support
Co-authored-by: Nyejunxian <yejunxian@dm-ai.com>
Co-authored-by: Nyejunxian <yejunxian@dmai.com>

* Allow cut postprocess but preserve input

* apply code-format changes
Co-authored-by: Nsunnycase <sunnycase@users.noreply.github.com>