Ignore .xmake directory #4212
Merged
Ignore .xmake directory #4212
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
nihui
approved these changes
Sep 21, 2022
|
Thanks for your contribution ! |
csukuangfj
added a commit
to csukuangfj/ncnn
that referenced
this pull request
Dec 1, 2022
* remove duplicated newline (Tencent#4187) * remove duplicated newline (Tencent#4188) * optmize softmax arm neon (Tencent#4171) * [docs] Fix typo (Tencent#4201) * [Prelu x86] Finish intrinsic with elempack merged (Tencent#4177) * changed size of images for pretty formatting of page (Tencent#4193) * [Gelu x86] Finish intrinsic with elempack merged(fast version) (Tencent#4144) * Finish the gelu x86 intrinsics * Finish the fast tanh x86 simd impl * Ignore .xmake directory (Tencent#4212) * Bump pypa/cibuildwheel from 2.9.0 to 2.10.1 (Tencent#4207) Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.9.0 to 2.10.1. - [Release notes](https://github.com/pypa/cibuildwheel/releases) - [Changelog](https://github.com/pypa/cibuildwheel/blob/main/docs/changelog.md) - [Commits](pypa/cibuildwheel@v2.9.0...v2.10.1) --- updated-dependencies: - dependency-name: pypa/cibuildwheel dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <[email protected]> Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * style: space alignment (Tencent#4217) * Ignore CMakeSettings.json, the Visual Studio CMake schema file (Tencent#4228) * RVV: use new interface for segment load/store & change word_type to size_t&add clang ci (part Tencent#4100) (Tencent#4118) * RVV: use size_t for vl * RVV: replace vsseg.v tuple type by using regex ----- search: vsseg([1-9])e(8|16|32)_v_(f|i|u)\2m(1|2|4|8)x\1\(([ -~]+), vcreate_\3\2m\4x\1\(([ -~]+)\), vl\); substitute by: vsseg$1e$2_v_$3$2m$4($5, $6, vl); * RVV: replace vssseg.v tuple types by using regex --- search: vssseg([1-9])e(8|16|32)_v_f\2m1x\1\(([ -~]+), vcreate_f\2m1x\1\(([ -~]+)\), vl\); substitute by: vssseg$1e$2_v_f$2m1($3, $4, vl); * RVV: replace vlseg.v tuple types in load/store * RVV: replace vloxseg2ei32.v tuple types * RVV: add a wrapper for old compilers * RVV: add segment load/store wrapper in pakcing * RVV: fix cmake test * RVV: make clang happy by dropping VLAs in sgemm * RVV: add clang cmake toolchain configure * RVV: add clang ci, riscv64-unknown-linux-gnu Co-authored-by: thelastlin <[email protected]> Co-authored-by: nihui <[email protected]> * Bump pypa/cibuildwheel from 2.10.1 to 2.10.2 (Tencent#4220) Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.10.1 to 2.10.2. - [Release notes](https://github.com/pypa/cibuildwheel/releases) - [Changelog](https://github.com/pypa/cibuildwheel/blob/main/docs/changelog.md) - [Commits](pypa/cibuildwheel@v2.10.1...v2.10.2) --- updated-dependencies: - dependency-name: pypa/cibuildwheel dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <[email protected]> Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * add c906 build ci (Tencent#4232) * Add benchmark result of T-Head TH1520 (Tencent#4240) `cpuinfo`: ``` isa : rv64imafdcvsu mmu : sv39 cpu-freq : 1.848Ghz cpu-icache : 64KB cpu-dcache : 64KB cpu-l2cache : 1MB cpu-tlb : 1024 4-ways cpu-cacheline : 64Bytes cpu-vector : 0.7.1 ``` Compiled with `-DCMAKE_TOOLCHAIN_FILE=../toolchains/c910-v240.toolchain.cmake -DCMAKE_BUILD_TYPE=release -DNCNN_OPENMP=OFF -DNCNN_THREADS=OFF -DNCNN_RUNTIME_CPU=OFF -DNCNN_RVV=ON -DNCNN_SIMPLEOCV=ON -DNCNN_BUILD_EXAMPLES=ON` Seems much worse than expected 🤔 * fix param parsing issue when layer/blob name exceeds 255 (Tencent#4236) * fix param parsing issue when layer/blob name exceeds 255 * apply code-format changes Co-authored-by: ZhangGe6 <[email protected]> * Memory Pool Improvement For Variadic Sized Inputs (Tencent#4190) * Simple miss count for better space efficiency * Simple double ended greedy; * Add size drop threshold setter; * set workspace allocator cr to zero as we had some sort of recylcing capability :P Co-authored-by: LinHeLurking <[email protected]> Co-authored-by: nihuini <[email protected]> * docs: disable fp16 when wrong results encountered caused by overflow (Tencent#4248) * pnnx math operation (Tencent#4251) * more stricter armv7 fp16 and armv84 bf16 compiler check, fix Tencent#4147 fix Tencent#4222 (Tencent#4247) * modified the param axes of expanddims in modelwriter (Tencent#4259) * Add TH1520 (4*C910V) toolchain support. (Tencent#4267) * implement lstm proj_size (Tencent#4263) * Optimize x86 DeformableConv2D (Tencent#4128) * fix compile warning with gcc 9.1.0 including simplestl.h file (Tencent#4274) * fix compile warning with gcc 9.1.0 including simplestl.h file * apply code-format changes Co-authored-by: veahow <[email protected]> * add benchmark for rk3588 on rock5b (Tencent#4275) * linux-x64-cpu-gcc on tencent ci * implement layer feature disabled bit (Tencent#4278) * add elu vulkan operator (Tencent#4280) * fix tencent ci (Tencent#4277) * implement GLU and pnnx conversion (Tencent#4283) * Bump pypa/cibuildwheel from 2.10.2 to 2.11.1 (Tencent#4271) Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.10.2 to 2.11.1. - [Release notes](https://github.com/pypa/cibuildwheel/releases) - [Changelog](https://github.com/pypa/cibuildwheel/blob/main/docs/changelog.md) - [Commits](pypa/cibuildwheel@v2.10.2...v2.11.1) --- updated-dependencies: - dependency-name: pypa/cibuildwheel dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <[email protected]> Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * fix pnnx softmax/normalize/slice negative axis conversion to ncnn (Tencent#4284) * pnnx glu batchindex aware conversion (Tencent#4285) * 1. Fix typo in readme (Tencent#4287) * x86 sse2/avx2 optimization for convolution sgemm/winograd int8 family (Tencent#4286) * pnnx skip dynamic size evaluation (Tencent#4291) * Fix linux build error(Tencent#4265) (Tencent#4294) Co-authored-by: wangyu <[email protected]> * general cpu feature detection on macos/ios, enable bf16 and i8mm on a15 a16 and m2 (Tencent#4300) * x86 unified fc fp32/fp16s (Tencent#4303) * more fma * more transpose utility function * Bump pypa/cibuildwheel from 2.11.1 to 2.11.2 (Tencent#4308) Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.11.1 to 2.11.2. - [Release notes](https://github.com/pypa/cibuildwheel/releases) - [Changelog](https://github.com/pypa/cibuildwheel/blob/main/docs/changelog.md) - [Commits](pypa/cibuildwheel@v2.11.1...v2.11.2) --- updated-dependencies: - dependency-name: pypa/cibuildwheel dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <[email protected]> Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * pnnx pytorch 1.13 (Tencent#4314) * fix Tencent#4315 (Tencent#4316) * get_physical_cpu_count api family (Tencent#4302) * get_physical_cpu_count api family * set default to physical big cpu * always treat smt core as big core * is_smt_cpu * get max freq mhz on windows * windows thread affinity * groupnorm 1d/2d/4d (Tencent#4312) * fix slice end index, fix fp16 model weight alignment (Tencent#4317) * tencent ci test-coverage pnnx (Tencent#4305) * RVV: BatchNorm with fp16s(a) support (Tencent#4075) * RVV: InstanceNorm with fp16s(a) support (Tencent#4078) * fix ci pnnx build * fold new_full and full_like (Tencent#4323) * pnnx convert nn.Softmax2d (Tencent#4324) * pnnx convert fold unfold (Tencent#4325) * support yolov5 6.2 (Tencent#4328) * implement ncnn fold and unfold (Tencent#4326) * pnnx load gpu torchscript and reset device (Tencent#4330) * fix:pnnx-softmax (Tencent#4333) * pnnx save onnx zero (Tencent#4077) * save foldable constants in file for reducing memory usage (Tencent#4337) * match inplace slice copy pattern, rewrite copy uses (Tencent#4338) * add vector optimization for loongarch64 (Tencent#4242) * ci loongarch64 lsx (Tencent#4344) * gridsample op support (Tencent#4288) Co-authored-by: LRY89757 <[email protected]> Co-authored-by: nihuini <[email protected]> Co-authored-by: nihui <[email protected]> * squeeze and expanddims 4d (Tencent#4346) * implement MultiheadAttention kdim vdim (Tencent#4347) * pnnx convert torch bitwise left_shift right_shift (Tencent#4349) * pnnx fp16 option for ncnn and onnx weight type (Tencent#4350) * pnnx fuse more function to module (Tencent#4351) * pnnx fuse more function to module * rename some pass name * fuse adjacent reshape, fuse pad conv2d * fuse pad conv1d * split tests (Tencent#4354) * Support mat.numpy() in Python (Tencent#4356) * Fix typo in stb_image.h (Tencent#4358) exitting -> exiting * Fix windows-arm64 build for non-neon case (Tencent#4227) * update release ci (Tencent#4359) * update release ci * find modern glslang * parallel jobs on windows * Fix c api allocator (Tencent#4360) * add some c_api interfaces related to allocator setup. * fix errors in allocator parameters in c_api. * test c api allocator Co-authored-by: zhangtongshe <[email protected]> * update glslang (Tencent#4361) * disable out-of-line atomics since ndk23+ for resolving linking issue with old ndk (Tencent#4362) * I added one more project to the list of examples. (Tencent#4205) * Dedicated to coloring black and white photographs. * add example project link (Tencent#4365) * fix(pybind11): build error (Tencent#4368) * fix openmp affinity abort when cpu goes offline (Tencent#4370) * Update release-python.yml * small fixes * unpack list input * Remove LSTM2 * fix LSTM Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: Molly Sophia <[email protected]> Co-authored-by: Menci <[email protected]> Co-authored-by: luqiang guo <[email protected]> Co-authored-by: Lry89757 <[email protected]> Co-authored-by: magicse <[email protected]> Co-authored-by: Zhuo Zhang <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: 汤圆奶昔 <[email protected]> Co-authored-by: Xavier Hsinyuan <[email protected]> Co-authored-by: thelastlin <[email protected]> Co-authored-by: nihui <[email protected]> Co-authored-by: 柚木鉉 <[email protected]> Co-authored-by: Zhang Ge <[email protected]> Co-authored-by: ZhangGe6 <[email protected]> Co-authored-by: LinHe <[email protected]> Co-authored-by: LinHeLurking <[email protected]> Co-authored-by: nihuini <[email protected]> Co-authored-by: MisakaBit <[email protected]> Co-authored-by: LiuYi-Up <[email protected]> Co-authored-by: 陸 言 <[email protected]> Co-authored-by: miemie2013 <[email protected]> Co-authored-by: Eahow Chen <[email protected]> Co-authored-by: veahow <[email protected]> Co-authored-by: li mengyang <[email protected]> Co-authored-by: Yoh <[email protected]> Co-authored-by: Caize Wu <[email protected]> Co-authored-by: bestpower <[email protected]> Co-authored-by: wangyu <[email protected]> Co-authored-by: shaoshengsong <[email protected]> Co-authored-by: WuJinxuan <[email protected]> Co-authored-by: junchao-loongson <[email protected]> Co-authored-by: LRY89757 <[email protected]> Co-authored-by: Ikko Ashimine <[email protected]> Co-authored-by: zhangtongshe <[email protected]> Co-authored-by: tpoisonooo <[email protected]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.