ERROR: avx512fintrin.h(9146): error: identifier "__builtin_ia32_rndscaless_round" is undefined

[SpaceView]

• 标题：请包含关键词“安装错误”/“编译错误”，例如“Mac编译错误”
• 版本、环境信息：    1）PaddlePaddle版本：2.2.2    2）CPU：i5-11400H    3）GPU：NVIDIA GeForce RTX 3050 Laptop GPU, cuda_11.4.3_470.82.01_linux, cudnn-11.4-linux-x64-v8.2.4.15    4）系统环境：AsusLaptop TUF Gaming (FX506HCB) + Ubuntu20.04 + Python3.8.10 + gcc-9.4.0

本地编译：请提供cmake命令，编译命令 完全根据官网安装 https://paddle-inference.readthedocs.io/en/latest/user_guides/source_compile.html#ubuntu-18-04 第一步，下载配置 git clone https://github.com/PaddlePaddle/Paddle.git cd Paddle git checkout release/2.2 mkdir build_cuda && cd build_cuda cmake .. -DPY_VERSION=3 \ -DWITH_TESTING=OFF \ -DWITH_MKL=ON \ -DWITH_GPU=ON \ -DON_INFER=ON \ .. 第二步 make -j12

• 复现信息：如为报错，请给出复现环境、复现步骤
• 问题描述：请详细描述您的问题，同步贴出报错信息、日志/代码关键片段 make -j12 [ 0%] Built target extern_gflags [ 1%] Built target extern_zlib [ 1%] Built target extern_lapack [ 1%] Built target extern_utf8proc [ 1%] Built target extern_warpctc [ 1%] Built target extern_dlpack [ 1%] Built target extern_boost [ 2%] Built target extern_threadpool [ 3%] Built target extern_eigen3 [ 3%] copy_if_different /home/mc/ocr/Paddle/build_cuda/paddle/fluid/operators/jit/kernels.h [ 3%] Built target copy_kernels_command [ 3%] copy_if_different /home/mc/ocr/Paddle/build_cuda/paddle/fluid/inference/api/paddle_inference_pass.h [ 3%] copy_if_different /home/mc/ocr/Paddle/build_cuda/paddle/fluid/pybind/pybind.h [ 3%] Built target download_externalError [ 3%] Built target extern_xbyak [ 3%] Built target extern_gloo [ 3%] Built target copy_paddle_inference_pass_command [ 3%] Built target copy_pybind_command [ 3%] Built target extern_cryptopp [ 3%] Built target extern_pocketfft [ 3%] Built target extern_protobuf [ 3%] Built target extern_pybind [ 4%] Built target extern_mkldnn [ 4%] Built target profiler_py_proto_init [ 4%] Built target extern_glog [ 4%] Built target extern_mklml Consolidate compiler generated dependencies of target heter_service_proto Consolidate compiler generated dependencies of target error_codes_proto [ 4%] Built target framework_py_proto_init Consolidate compiler generated dependencies of target data_feed_proto Consolidate compiler generated dependencies of target framework_proto Consolidate compiler generated dependencies of target external_error_proto Copy generated python proto into directory paddle/fluid/proto/profiler. [ 4%] Built target mkldnn_cmd [ 4%] Built target trainer_py_proto [ 5%] Built target distributed_strategy_py_proto [ 5%] Built target pass_desc_py_proto Consolidate compiler generated dependencies of target cudnn_workspace_helper Consolidate compiler generated dependencies of target mkldnn [ 5%] Built target mkldnn [ 5%] Built target profiler_py_proto [ 5%] Built target fleet_proto_init Consolidate compiler generated dependencies of target monitor Consolidate compiler generated dependencies of target version Consolidate compiler generated dependencies of target denormal Consolidate compiler generated dependencies of target shape_range_info_proto [ 5%] Built target cudnn_workspace_helper [ 5%] Built target version [ 5%] Built target denormal [ 5%] Built target error_codes_proto [ 5%] Built target heter_service_proto [ 5%] Built target framework_proto [ 5%] Built target data_feed_proto [ 5%] Built target external_error_proto Copy generated python proto into directory paddle/fluid/proto. [ 5%] Built target shape_range_info_proto Consolidate compiler generated dependencies of target timer Consolidate compiler generated dependencies of target pass_desc_proto [ 5%] Built target pass_desc_proto Consolidate compiler generated dependencies of target flags Consolidate compiler generated dependencies of target string_array Consolidate compiler generated dependencies of target op_def_proto [ 5%] Built target op_def_proto [ 5%] Built target monitor [ 5%] Built target timer Consolidate compiler generated dependencies of target zero_copy_tensor_dummy [ 6%] Built target zero_copy_tensor_dummy Consolidate compiler generated dependencies of target profiler_proto [ 6%] Built target profiler_proto Consolidate compiler generated dependencies of target trainer_desc_proto [ 6%] Built target trainer_desc_proto Consolidate compiler generated dependencies of target errors Consolidate compiler generated dependencies of target op_version_proto [ 6%] Built target errors [ 6%] Built target op_version_proto Consolidate compiler generated dependencies of target table_printer [ 7%] Built target table_printer [ 7%] Built target string_array [ 7%] Built target extern_xxhash Consolidate compiler generated dependencies of target paddle_pass_builder Consolidate compiler generated dependencies of target op_def_api [ 7%] Built target third_party [ 7%] Built target op_def_api [ 7%] Built target framework_py_proto Consolidate compiler generated dependencies of target prune Consolidate compiler generated dependencies of target op_version_registry Consolidate compiler generated dependencies of target activation_functions [ 7%] Built target paddle_pass_builder [ 7%] Built target activation_functions [ 7%] Built target flags Consolidate compiler generated dependencies of target enforce [ 7%] Built target enforce Consolidate compiler generated dependencies of target imperative_profiler [ 7%] Built target imperative_profiler Consolidate compiler generated dependencies of target 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generated dependencies of target dynload_cuda [ 7%] Built target cuda_stream [ 7%] Built target dynload_cuda [ 7%] Built target eigen_function Consolidate compiler generated dependencies of target jit_kernel_base [ 7%] Built target jit_kernel_base Consolidate compiler generated dependencies of target gpu_info Consolidate compiler generated dependencies of target device_tracer [ 7%] Built target gpu_info [ 7%] Built target device_tracer Consolidate compiler generated dependencies of target jit_kernel_refer Consolidate compiler generated dependencies of target jit_kernel_mkl [ 7%] Built target jit_kernel_refer [ 7%] Built target jit_kernel_mkl Consolidate compiler generated dependencies of target jit_kernel_intrinsic Consolidate compiler generated dependencies of target device_memory_aligment Consolidate compiler generated dependencies of target cuda_resource_pool [ 7%] Built target jit_kernel_intrinsic [ 7%] Built target device_memory_aligment [ 7%] Built target cuda_resource_pool Consolidate compiler generated dependencies of target system_allocator [ 7%] Built target system_allocator Consolidate compiler generated dependencies of target cuda_device_guard [ 7%] Built target cuda_device_guard Consolidate compiler generated dependencies of target jit_kernel_mix [ 7%] Built target jit_kernel_mix Consolidate compiler generated dependencies of target buddy_allocator [ 7%] Built target buddy_allocator Consolidate compiler generated dependencies of target cuda_allocator [ 7%] Built target cuda_allocator Consolidate compiler generated dependencies of target profiler [ 8%] Built target profiler Consolidate compiler generated dependencies of target naive_best_fit_allocator [ 8%] Built target naive_best_fit_allocator Consolidate compiler generated dependencies of target allocator_strategy [ 8%] Built target allocator_strategy Consolidate compiler generated dependencies of target allocator_facade Consolidate compiler generated dependencies of target jit_kernel_jitcode [ 8%] Built target allocator_facade Consolidate compiler generated dependencies of target cuda_graph [ 9%] Built target jit_kernel_jitcode [ 9%] Built target cuda_graph Consolidate compiler generated dependencies of target jit_kernel_helper [ 9%] Built target jit_kernel_helper Consolidate compiler generated dependencies of target malloc [ 9%] Built target malloc Consolidate compiler generated dependencies of target device_context [ 10%] Built target device_context Consolidate compiler generated dependencies of target data_type Consolidate compiler generated dependencies of target op_kernel_type [ 10%] Built target data_type Consolidate compiler generated dependencies of target device_code [ 10%] Built target op_kernel_type [ 10%] Built target device_code Consolidate compiler generated dependencies of target no_need_buffer_vars_inference Consolidate compiler generated dependencies of target memcpy [ 10%] Built target no_need_buffer_vars_inference [ 10%] Built target memcpy Consolidate compiler generated dependencies of target shape_inference [ 10%] Built target shape_inference Consolidate compiler generated dependencies of target mkldnn_axpy_handler [ 10%] Built target mkldnn_axpy_handler Consolidate compiler generated dependencies of target sequence_padding Consolidate compiler generated dependencies of target blas Consolidate compiler generated dependencies of target cos_sim_functor Consolidate compiler generated dependencies of target im2col [ 10%] Built target blas [ 10%] Built target sequence_padding Consolidate compiler generated dependencies of target sequence_scale [ 10%] Built target cos_sim_functor [ 10%] Built target im2col Consolidate compiler generated dependencies of target cross_entropy Consolidate compiler generated dependencies of target depthwise_conv [ 10%] Built target sequence_scale [ 10%] Built target cross_entropy Consolidate compiler generated dependencies of target concat_and_split Consolidate compiler generated dependencies of target lstm_compute [ 10%] Built target concat_and_split [ 10%] Building CUDA object paddle/fluid/operators/math/CMakeFiles/lstm_compute.dir/lstm_compute.cu.o Consolidate compiler generated dependencies of target maxouting Consolidate compiler generated dependencies of target sample_prob [ 10%] Building CXX object paddle/fluid/operators/math/CMakeFiles/fc.dir/fc.cc.o [ 10%] Building CXX object paddle/fluid/operators/math/CMakeFiles/lapack_function.dir/lapack_function.cc.o [ 10%] Building CXX object paddle/fluid/operators/math/CMakeFiles/matrix_bit_code.dir/matrix_bit_code.cc.o [ 10%] Built target depthwise_conv [ 10%] Built target maxouting Consolidate compiler generated dependencies of target sampler [ 10%] Built target sampler Consolidate compiler generated dependencies of target heter_wrapper [ 10%] Built target heter_wrapper [ 10%] Building CUDA object paddle/fluid/operators/math/CMakeFiles/prelu.dir/prelu.cu.o Consolidate compiler generated dependencies of target collective_helper [ 10%] Building CXX object paddle/fluid/operators/math/CMakeFiles/unpooling.dir/unpooling.cc.o [ 10%] Building CXX object paddle/fluid/operators/math/CMakeFiles/vol2col.dir/vol2col.cc.o Consolidate compiler generated dependencies of target pooling Consolidate compiler generated dependencies of target sequence2batch [ 10%] Built target pooling [ 10%] Built target sequence2batch [ 10%] Building CUDA object paddle/fluid/operators/math/CMakeFiles/vol2col.dir/vol2col.cu.o [ 10%] Building CUDA object paddle/fluid/operators/math/CMakeFiles/fc.dir/fc.cu.o [ 10%] Built target sample_prob [ 10%] Building CUDA object paddle/fluid/operators/math/CMakeFiles/bert_encoder_functor.dir/bert_encoder_functor.cu.o [ 10%] Built target collective_helper [ 10%] Building CXX object paddle/fluid/operators/math/CMakeFiles/matrix_inverse.dir/matrix_inverse.cc.o [ 10%] Building CXX object paddle/fluid/operators/math/CMakeFiles/segment_pooling.dir/segment_pooling.cc.o [ 10%] Linking CXX static library liblapack_function.a [ 10%] Built target lapack_function [ 10%] Building CXX object paddle/fluid/operators/math/CMakeFiles/matrix_inverse.dir/matrix_inverse.cu.cc.o /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(9146): error: identifier "__builtin_ia32_rndscaless_round" is undefined

/usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(9155): error: identifier "__builtin_ia32_rndscalesd_round" is undefined

/usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(14797): error: identifier "__builtin_ia32_rndscaless_round" is undefined

/usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(14806): error: identifier "__builtin_ia32_rndscalesd_round" is undefined

/usr/lib/gcc/x86_64-linux-gnu/9/include/avx512dqintrin.h(1365): error: identifier "__builtin_ia32_fpclassss" is undefined

/usr/lib/gcc/x86_64-linux-gnu/9/include/avx512dqintrin.h(1372): error: identifier "__builtin_ia32_fpclasssd" is undefined

6 errors detected in the compilation of "/home/mc/ocr/Paddle/paddle/fluid/operators/math/lstm_compute.cu". make[2]: [paddle/fluid/operators/math/CMakeFiles/lstm_compute.dir/build.make:90：paddle/fluid/operators/math/CMakeFiles/lstm_compute.dir/lstm_compute.cu.o] 错误 1 make[1]: [CMakeFiles/Makefile2:77899：paddle/fluid/operators/math/CMakeFiles/lstm_compute.dir/all] 错误 2 make[1]: 正在等待未完成的任务.... [ 11%] Building CUDA object paddle/fluid/operators/math/CMakeFiles/segment_pooling.dir/segment_pooling.cu.o [ 11%] Building CUDA object paddle/fluid/operators/math/CMakeFiles/unpooling.dir/unpooling.cu.o [ 11%] Linking CXX static library libmatrix_bit_code.a [ 11%] Built target matrix_bit_code [ 11%] Linking CXX static library libmatrix_inverse.a [ 11%] Built target matrix_inverse [ 11%] Linking CXX static library libvol2col.a [ 11%] Built target vol2col [ 11%] Linking CXX static library libprelu.a [ 11%] Built target prelu [ 11%] Linking CXX static library libunpooling.a [ 11%] Built target unpooling [ 11%] Linking CXX static library libfc.a [ 11%] Linking CXX static library libbert_encoder_functor.a [ 11%] Built target bert_encoder_functor [ 11%] Built target fc [ 11%] Linking CXX static library libsegment_pooling.a [ 11%] Built target segment_pooling make: [Makefile:136：all] 错误 2

[paddle-bot-old[bot]]

您好，我们已经收到了您的问题，会安排技术人员尽快解答您的问题，请耐心等待。请您再次检查是否提供了清晰的问题描述、复现代码、环境&版本、报错信息等。同时，您也可以通过查看官网API文档、常见问题、历史Issue、AI社区来寻求解答。祝您生活愉快～

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[SpaceView]

同样的配置，我试图使用不同的paddle版本，发现没有用；Paddle2.1也出现了类似的报错，主要都在fluid/operators/math下面的cuda算子函数，不清楚是否因为cuda版本问题引起， [ 13%] Built target blas [ 13%] Building CUDA object paddle/fluid/operators/math/CMakeFiles/depthwise_conv.dir/depthwise_conv.cu.o /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(9146): error: identifier "builtin_ia32_rndscaless_round" is undefined /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(9155): error: identifier "builtin_ia32_rndscalesd_round" is undefined /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(14797): error: identifier "builtin_ia32_rndscaless_round" is undefined /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(14806): error: identifier "builtin_ia32_rndscalesd_round" is undefined /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512dqintrin.h(1365): error: identifier "__builtin_ia32_fpclassss" is undefined /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512dqintrin.h(1372): error: identifier "__builtin_ia32_fpclasssd" is undefined

[tianshuo78520a]

你不加ON_INFER参数呢？ 试下

[SpaceView]

我尝试了一下，换成gcc-8编译成功了。 所以，解决办法是： ubuntu20.04+cuda11.4+gcc-8.4.0+python3.8.10 谢谢。

[engineer1109]

Use GCC 9.4.0 and Cuda 11.7 to Solve I met this problem also on on GCC 9.4.0 and Cuda 11.5. This seems because old cuda lack some defines support for gcc compiler. 好像GCC 9.4.0和Cuda旧版本 有编译器预定义缺少的问题，Cuda 11.7修复。 你可以关闭这个问题了

[yflin1]

同样的配置，我试图使用不同的paddle版本，发现没有用；Paddle2.1也出现了类似的报错，主要都在fluid/operators/math下面的cuda算子函数，不清楚是否因为cuda版本问题引起， [ 13%] Built target blas [ 13%] Building CUDA object paddle/fluid/operators/math/CMakeFiles/depthwise_conv.dir/depthwise_conv.cu.o /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(9146): error: identifier "builtin_ia32_rndscaless_round" is undefined /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(9155): error: identifier "builtin_ia32_rndscalesd_round" is undefined /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(14797): error: identifier "builtin_ia32_rndscaless_round" is undefined /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512fintrin.h(14806): error: identifier "builtin_ia32_rndscalesd_round" is undefined /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512dqintrin.h(1365): error: identifier "__builtin_ia32_fpclassss" is undefined /usr/lib/gcc/x86_64-linux-gnu/9/include/avx512dqintrin.h(1372): error: identifier "__builtin_ia32_fpclasssd" is undefined

我在 Paddle develop 分支 + ubuntu22.04 + gcc-9.5.0 + cuda 11.7 也出现了一样的问题。

[paddle-bot[bot]]

Since you haven\'t replied for more than a year, we have closed this issue/pr. If the problem is not solved or there is a follow-up one, please reopen it at any time and we will continue to follow up. 由于您超过一年未回复，我们将关闭这个issue/pr。 若问题未解决或有后续问题，请随时重新打开，我们会继续跟进。