不支持avx指令集的国产换皮AMD CPU能安装什么版本的paddle？

[gl94]

从这个网址：https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#Compile
安装noavx-openblas版本的paddle2.2.1，运行paddle.utils.run_check()报错：

paddle.utils.run_check()
Running verify PaddlePaddle program ...

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C++ Traceback (most recent call last):

0 paddle::framework::Executor::Run(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool, std::vector<std::string, std::allocator<std::string > > const&, bool, bool)
1 paddle::framework::Executor::RunPreparedContext(paddle::framework::ExecutorPrepareContext*, paddle::framework::Scope*, bool, bool, bool)
2 paddle::framework::Executor::RunPartialPreparedContext(paddle::framework::ExecutorPrepareContext*, paddle::framework::Scope*, long, long, bool, bool, bool)
3 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, paddle::platform::Place const&)
4 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&) const
5 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&, paddle::framework::RuntimeContext*) const
6 std::_Function_handler<void (paddle::framework::ExecutionContext const&), paddle::framework::OpKernelRegistrarFunctor<paddle::platform::CPUPlace, false, 0ul, paddle::operators::MatMulV2Kernel<paddle::platform::CPUDeviceContext, float>, paddle::operators::MatMulV2Kernel<paddle::platform::CPUDeviceContext, double>, paddle::operators::MatMulV2Kernel<paddle::platform::CPUDeviceContext, paddle::platform::complex >, paddle::operators::MatMulV2Kernel<paddle::platform::CPUDeviceContext, paddle::platform::complex > >::operator()(char const*, char const*, int) const::{lambda(paddle::framework::ExecutionContext const&)#1}>::_M_invoke(std::_Any_data const&, paddle::framework::ExecutionContext const&)
7 void paddle::operators::MatMulFunction<paddle::platform::CPUDeviceContext, float>(paddle::framework::Tensor const*, paddle::framework::Tensor const*, paddle::framework::Tensor*, bool, bool, paddle::framework::ExecutionContext const&, bool)
8 void paddle::operators::MatMulFunction<paddle::platform::CPUDeviceContext, float>(paddle::framework::Tensor const*, paddle::framework::Tensor const*, std::vector<long, std::allocator > const&, std::vector<long, std::allocator > const&, paddle::framework::Tensor*, bool, bool, paddle::framework::ExecutionContext const&, bool)
9 cblas_sgemm
10 sgemm_kernel_direct

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Error Message Summary:

FatalError: Illegal instruction is detected by the operating system.

lscpu信息：
架构： x86_64
CPU 运行模式： 32-bit, 64-bit
字节序： Little Endian
Address sizes: 40 bits physical, 48 bits virtual
CPU: 8
在线 CPU 列表： 0-7
每个核的线程数： 1
每个座的核数： 8
座： 1
NUMA 节点： 1
厂商 ID： HygonGenuine
CPU 系列： 15
型号： 6
型号名称： Common KVM processor
步进： 1
CPU MHz： 2199.998
BogoMIPS： 4399.99
超管理器厂商： KVM
虚拟化类型： 完全
NUMA 节点0 CPU： 0-7
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec store bypass: Vulnerable
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines, STIBP disabled, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
标记： fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 h
t syscall nx lm rep_good nopl cpuid extd_apicid tsc_known_freq pni cx16 x2apic hypervisor lahf_lm c
mp_legacy cpb vmmcall arat

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