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安霸cv22平台编译报错 #4222

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Oliverwang opened this issue Sep 26, 2022 · 3 comments
Closed

安霸cv22平台编译报错 #4222

Oliverwang opened this issue Sep 26, 2022 · 3 comments

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@Oliverwang
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-- Performing Test NCNN_COMPILER_SUPPORT_ARM_VFPV4
-- Performing Test NCNN_COMPILER_SUPPORT_ARM_VFPV4 - Failed
-- Performing Test NCNN_COMPILER_SUPPORT_ARM_VFPV4_FP16
-- Performing Test NCNN_COMPILER_SUPPORT_ARM_VFPV4_FP16 - Failed
-- Performing Test NCNN_COMPILER_SUPPORT_ARM82_FP16
-- Performing Test NCNN_COMPILER_SUPPORT_ARM82_FP16 - Success
-- Performing Test NCNN_COMPILER_SUPPORT_ARM82_DOTPROD
-- Performing Test NCNN_COMPILER_SUPPORT_ARM82_DOTPROD - Success
-- Performing Test NCNN_COMPILER_SUPPORT_ARM82_FP16FML
-- Performing Test NCNN_COMPILER_SUPPORT_ARM82_FP16FML - Success
-- Performing Test NCNN_COMPILER_SUPPORT_ARM84_BF16
-- Performing Test NCNN_COMPILER_SUPPORT_ARM84_BF16 - Success
-- Performing Test NCNN_COMPILER_SUPPORT_ARM84_I8MM
-- Performing Test NCNN_COMPILER_SUPPORT_ARM84_I8MM - Success
-- Performing Test NCNN_COMPILER_SUPPORT_ARM86_SVE
-- Performing Test NCNN_COMPILER_SUPPORT_ARM86_SVE - Success
-- Performing Test NCNN_COMPILER_SUPPORT_ARM86_SVE2
-- Performing Test NCNN_COMPILER_SUPPORT_ARM86_SVE2 - Success
-- Performing Test NCNN_COMPILER_SUPPORT_ARM86_SVEBF16
-- Performing Test NCNN_COMPILER_SUPPORT_ARM86_SVEBF16 - Success
-- Performing Test NCNN_COMPILER_SUPPORT_ARM86_SVEI8MM
-- Performing Test NCNN_COMPILER_SUPPORT_ARM86_SVEI8MM - Success
-- Performing Test NCNN_COMPILER_SUPPORT_ARM86_SVEF32MM
-- Performing Test NCNN_COMPILER_SUPPORT_ARM86_SVEF32MM - Success
CMake Warning at CMakeLists.txt:198 (message):
The compiler does not support arm vfpv4. NCNN_VFPV4 will be OFF.

-- Target arch: arm
-- Performing Test COMPILER_HAS_HIDDEN_VISIBILITY
-- Performing Test COMPILER_HAS_HIDDEN_VISIBILITY - Success
-- Performing Test COMPILER_HAS_HIDDEN_INLINE_VISIBILITY
-- Performing Test COMPILER_HAS_HIDDEN_INLINE_VISIBILITY - Success
-- Performing Test COMPILER_HAS_DEPRECATED_ATTR
-- Performing Test COMPILER_HAS_DEPRECATED_ATTR - Success
-- Found OpenMP_C: -fopenmp (found version "4.5")
-- Found OpenMP_CXX: -fopenmp (found version "4.5")
-- Found OpenMP: TRUE (found version "4.5")
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Looking for pthread_create
-- Looking for pthread_create - not found
-- Check if compiler accepts -pthread
-- Check if compiler accepts -pthread - yes
-- Found Threads: TRUE
-- Configuring done
-- Generating done
-- Build files have been written to: /home/project/ncnn-20220729/build_cv22

编译错误信息如下：
In file included from /home/project/ncnn-20220729/src/layer/arm/cast_arm_bf16.cpp:20:
/home/project/ncnn-20220729/src/layer/arm/cast_bf16.h: In function 'void ncnn::cast_bf16_to_fp32_neon(const ncnn::Mat&, ncnn::Mat&, const ncnn::Option&)':
/home/project/ncnn-20220729/src/layer/arm/cast_bf16.h:217:50: error: 'vget_low_bf16' was not declared in this scope; did you mean 'vget_low_f16'?
217 | float32x4_t _p0_fp32 = vcvt_f32_bf16(vget_low_bf16(_p_bf16));
| ^~~~~~~~~~~~~
| vget_low_f16
/home/project/ncnn-20220729/src/layer/arm/cast_bf16.h:217:36: error: 'vcvt_f32_bf16' was not declared in this scope; did you mean 'vcvt_f32_f16'?
217 | float32x4_t _p0_fp32 = vcvt_f32_bf16(vget_low_bf16(_p_bf16));
| ^~~~~~~~~~~~~
| vcvt_f32_f16
/home/project/ncnn-20220729/src/layer/arm/cast_bf16.h:218:50: error: 'vget_high_bf16' was not declared in this scope; did you mean 'vget_high_f16'?
218 | float32x4_t _p1_fp32 = vcvt_f32_bf16(vget_high_bf16(_p_bf16));
| ^~~~~~~~~~~~~~
| vget_high_f16
/home/project/ncnn-20220729/src/layer/arm/cast_bf16.h:233:35: error: 'vcvt_f32_bf16' was not declared in this scope; did you mean 'vcvt_f32_f16'?
233 | float32x4_t _p_fp32 = vcvt_f32_bf16(_p_bf16);
| ^~~~~~~~~~~~~
| vcvt_f32_f16
/home/project/ncnn-20220729/src/layer/arm/cast_bf16.h:246:25: error: 'vcvtah_f32_bf16' was not declared in this scope; did you mean 'vcvtah_u32_f16'?
246 | *outptr++ = vcvtah_f32_bf16(*ptr++);
| ^~~~~~~~~~~~~~~
| vcvtah_u32_f16
src/CMakeFiles/ncnn.dir/build.make:3614: recipe for target 'src/CMakeFiles/ncnn.dir/layer/arm/cast_arm_bf16.cpp.o' failed
make[2]: *** [src/CMakeFiles/ncnn.dir/layer/arm/cast_arm_bf16.cpp.o] Error 1
CMakeFiles/Makefile2:86: recipe for target 'src/CMakeFiles/ncnn.dir/all' failed
make[1]: *** [src/CMakeFiles/ncnn.dir/all] Error 2
Makefile:129: recipe for target 'all' failed
make: *** [all] Error 2
@nihui
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nihui commented Sep 26, 2022

临时的workaround
cmake -DNCNN_ARM84BF16=OFF ..

@Oliverwang
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临时的workaround cmake -DNCNN_ARM84BF16=OFF ..
感谢大佬，问题已解决

nihui added a commit to nihui/ncnn that referenced this issue Oct 9, 2022
@nihui
more stricter armv7 fp16 and armv84 bf16 compiler check, fix Tencent#…
40c874b 
…4147 fix Tencent#4222
nihui added a commit that referenced this issue Oct 10, 2022
@nihui
more stricter armv7 fp16 and armv84 bf16 compiler check, fix #4147 fix …
3e2b3fa 
…#4222 (#4247)
@nihui
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nihui commented Oct 10, 2022

fixed

csukuangfj added a commit to csukuangfj/ncnn that referenced this issue Dec 1, 2022
@csukuangfj @MollySophia
@Menci @luqiang-guo @LRY89757 @magicse @zchrissirhcz @dependabot @tonori @thelastlin @nihui @YuzukiTsuru @ZhangGe6 @LinHeLurking @StarNek0 @LiuYi-Up @luyanaa @miemie2013 @veahow @hwdef @Yoh-Z @Zepan @bestpower @shaoshengsong @EdVince @junchao-loongson @eltociear @qiqikit @tpoisonooo
Merge the master branch from tecent/ncnn (#6)
2655d0b 
* 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] <support@github.com>

Signed-off-by: dependabot[bot] <support@github.com>
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 <thelastlin@users.noreply.github.com>
Co-authored-by: nihui <shuizhuyuanluo@126.com>

* 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] <support@github.com>

Signed-off-by: dependabot[bot] <support@github.com>
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 <ZhangGe6@users.noreply.github.com>

* 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 <LinHeLurking@users.noreply.github.com>
Co-authored-by: nihuini <nihuini@tencent.com>

* 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 <veahow@users.noreply.github.com>

* 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] <support@github.com>

Signed-off-by: dependabot[bot] <support@github.com>
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 <786794414@qq.com>

* 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] <support@github.com>

Signed-off-by: dependabot[bot] <support@github.com>
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 <LRY89757@users.noreply.github.com>
Co-authored-by: nihuini <nihuini@tencent.com>
Co-authored-by: nihui <shuizhuyuanluo@126.com>

* 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 <yuyuyezi@vip.qq.com>

* 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] <support@github.com>
Co-authored-by: Molly Sophia <mollysophia379@gmail.com>
Co-authored-by: Menci <huanghaorui301@gmail.com>
Co-authored-by: luqiang guo <702572275@qq.com>
Co-authored-by: Lry89757 <77330637+LRY89757@users.noreply.github.com>
Co-authored-by: magicse <magicse@users.noreply.github.com>
Co-authored-by: Zhuo Zhang <imzhuo@foxmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: 汤圆奶昔 <47135403+tonori@users.noreply.github.com>
Co-authored-by: Xavier Hsinyuan <me@lstlx.com>
Co-authored-by: thelastlin <thelastlin@users.noreply.github.com>
Co-authored-by: nihui <shuizhuyuanluo@126.com>
Co-authored-by: 柚木鉉 <740291272@qq.com>
Co-authored-by: Zhang Ge <sjtu.zg123@gmail.com>
Co-authored-by: ZhangGe6 <ZhangGe6@users.noreply.github.com>
Co-authored-by: LinHe <LinHe.Lurking@gmail.com>
Co-authored-by: LinHeLurking <LinHeLurking@users.noreply.github.com>
Co-authored-by: nihuini <nihuini@tencent.com>
Co-authored-by: MisakaBit <MisakaBit@gmail.com>
Co-authored-by: LiuYi-Up <73060646+LiuYi-Up@users.noreply.github.com>
Co-authored-by: 陸 言 <robinluaa@outlook.com>
Co-authored-by: miemie2013 <53960695+miemie2013@users.noreply.github.com>
Co-authored-by: Eahow Chen <15228088+veahow@users.noreply.github.com>
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Co-authored-by: li mengyang <hwdefcom@outlook.com>
Co-authored-by: Yoh <wpz_yoh@163.com>
Co-authored-by: Caize Wu <zepanwucai@gmail.com>
Co-authored-by: bestpower <wangyu117136@gmail.com>
Co-authored-by: wangyu <786794414@qq.com>
Co-authored-by: shaoshengsong <30892500+shaoshengsong@users.noreply.github.com>
Co-authored-by: WuJinxuan <2456510228@qq.com>
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Co-authored-by: tpoisonooo <khj.application@aliyun.com>
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