julia 版本：1.4.0-rc1.0
安装cuda后test CUDAnative 报错
请问有同样情况的么，如何解决
julia> Pkg.test(["CUDAnative"])
Testing CUDAnative
Status `/tmp/jl_CjB770/Manifest.toml`
[621f4979] AbstractFFTs v0.5.0
[79e6a3ab] Adapt v1.0.0
[b99e7846] BinaryProvider v0.5.8
[fa961155] CEnum v0.2.0
[3895d2a7] CUDAapi v3.1.0
[c5f51814] CUDAdrv v6.0.0
[be33ccc6] CUDAnative v2.10.2
[3a865a2d] CuArrays v1.7.2
[864edb3b] DataStructures v0.17.9
[0c68f7d7] GPUArrays v2.0.1
[929cbde3] LLVM v1.3.3
[1914dd2f] MacroTools v0.5.3
[872c559c] NNlib v0.6.4
[bac558e1] OrderedCollections v1.1.0
[ae029012] Requires v0.5.2
[a759f4b9] TimerOutputs v0.5.3
[2a0f44e3] Base64
[8ba89e20] Distributed
[b77e0a4c] InteractiveUtils
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[de0858da] Printf
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[8dfed614] Test
[4ec0a83e] Unicode
┌ Warning: Incompatibility detected between CUDA and LLVM 8.0+; disabling debug info emission for CUDA kernels
└ @ CUDAnative ~/.julia/packages/CUDAnative/hfulr/src/CUDAnative.jl:114
[ Info: Testing using device GeForce GTX 1060 (compute capability 6.1.0, 5.798 GiB available memory) on CUDA driver 10.2.0 and toolkit 10.2.89
┌ Warning: Incompatibility detected between CUDA and LLVM 8.0+; disabling debug info emission for CUDA kernels
└ @ CUDAnative ~/.julia/packages/CUDAnative/hfulr/src/CUDAnative.jl:114
ERROR: LoadError: CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
ptxas application ptx input, line 29; error : Feature 'WMMA with floating point types' requires .target sm_70 or higher
ptxas application ptx input, line 29; error : Modifier '.m16n16k16' requires .target sm_70 or higher
ptxas application ptx input, line 30; error : Feature 'WMMA with floating point types' requires .target sm_70 or higher
ptxas application ptx input, line 30; error : Modifier '.m16n16k16' requires .target sm_70 or higher
ptxas application ptx input, line 31; error : Feature 'WMMA with floating point types' requires .target sm_70 or higher
ptxas application ptx input, line 31; error : Modifier '.m16n16k16' requires .target sm_70 or higher
ptxas application ptx input, line 40; error : Feature 'WMMA with floating point types' requires .target sm_70 or higher
ptxas application ptx input, line 40; error : Modifier '.m16n16k16' requires .target sm_70 or higher
ptxas application ptx input, line 45; error : Feature 'WMMA with floating point types' requires .target sm_70 or higher
ptxas application ptx input, line 45; error : Modifier '.m16n16k16' requires .target sm_70 or higher
ptxas fatal : Ptx assembly aborted due to errors
Stacktrace:
[1] CUDAdrv.CuModule(::String, ::Dict{CUDAdrv.CUjit_option_enum,Any}) at /home/soliva/.julia/packages/CUDAdrv/b1mvw/src/module.jl:40
[2] macro expansion at /home/soliva/.julia/packages/CUDAnative/hfulr/src/execution.jl:423 [inlined]
[3] cufunction(::typeof(kernel), ::Type{Tuple{CuDeviceArray{Float16,2,CUDAnative.AS.Global},CuDeviceArray{Float16,2,CUDAnative.AS.Global},CuDeviceArray{Float32,2,CUDAnative.AS.Global},CuDeviceArray{Float32,2,CUDAnative.AS.Global}}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/soliva/.julia/packages/CUDAnative/hfulr/src/execution.jl:360
[4] cufunction(::Function, ::Type{T} where T) at /home/soliva/.julia/packages/CUDAnative/hfulr/src/execution.jl:360
[5] top-level scope at /home/soliva/.julia/packages/CUDAnative/hfulr/src/execution.jl:179
[6] include(::Module, ::String) at ./Base.jl:377
[7] exec_options(::Base.JLOptions) at ./client.jl:288
[8] _start() at ./client.jl:484
in expression starting at /home/soliva/.julia/packages/CUDAnative/hfulr/examples/wmma/high-level.jl:42
example = wmma/high-level.jl: Test Failed at /home/soliva/.julia/packages/CUDAnative/hfulr/test/examples.jl:34
Expression: rv
Stacktrace:
[1] macro expansion at /home/soliva/.julia/packages/CUDAnative/hfulr/test/examples.jl:34 [inlined]
[2] macro expansion at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.4/Test/src/Test.jl:1186 [inlined]
[3] (::var"#680#683"{String})() at /home/soliva/.julia/packages/CUDAnative/hfulr/test/examples.jl:20
┌ Warning: Incompatibility detected between CUDA and LLVM 8.0+; disabling debug info emission for CUDA kernels
└ @ CUDAnative ~/.julia/packages/CUDAnative/hfulr/src/CUDAnative.jl:114
ERROR: LoadError: CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
ptxas application ptx input, line 29; error : Feature 'WMMA with floating point types' requires .target sm_70 or higher
ptxas application ptx input, line 29; error : Modifier '.m16n16k16' requires .target sm_70 or higher
ptxas application ptx input, line 30; error : Feature 'WMMA with floating point types' requires .target sm_70 or higher
ptxas application ptx input, line 30; error : Modifier '.m16n16k16' requires .target sm_70 or higher
ptxas application ptx input, line 31; error : Feature 'WMMA with floating point types' requires .target sm_70 or higher
ptxas application ptx input, line 31; error : Modifier '.m16n16k16' requires .target sm_70 or higher
ptxas application ptx input, line 32; error : Feature 'WMMA with floating point types' requires .target sm_70 or higher
ptxas application ptx input, line 32; error : Modifier '.m16n16k16' requires .target sm_70 or higher
ptxas application ptx input, line 37; error : Feature 'WMMA with floating point types' requires .target sm_70 or higher
ptxas application ptx input, line 37; error : Modifier '.m16n16k16' requires .target sm_70 or higher
ptxas fatal : Ptx assembly aborted due to errors
Stacktrace:
[1] CUDAdrv.CuModule(::String, ::Dict{CUDAdrv.CUjit_option_enum,Any}) at /home/soliva/.julia/packages/CUDAdrv/b1mvw/src/module.jl:40
[2] macro expansion at /home/soliva/.julia/packages/CUDAnative/hfulr/src/execution.jl:423 [inlined]
[3] cufunction(::typeof(kernel), ::Type{Tuple{CuDeviceArray{Float16,2,CUDAnative.AS.Global},CuDeviceArray{Float16,2,CUDAnative.AS.Global},CuDeviceArray{Float32,2,CUDAnative.AS.Global},CuDeviceArray{Float32,2,CUDAnative.AS.Global}}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/soliva/.julia/packages/CUDAnative/hfulr/src/execution.jl:360
[4] cufunction(::Function, ::Type{T} where T) at /home/soliva/.julia/packages/CUDAnative/hfulr/src/execution.jl:360
[5] top-level scope at /home/soliva/.julia/packages/CUDAnative/hfulr/src/execution.jl:179
[6] include(::Module, ::String) at ./Base.jl:377
[7] exec_options(::Base.JLOptions) at ./client.jl:288
[8] _start() at ./client.jl:484
in expression starting at /home/soliva/.julia/packages/CUDAnative/hfulr/examples/wmma/low-level.jl:40
example = wmma/low-level.jl: Test Failed at /home/soliva/.julia/packages/CUDAnative/hfulr/test/examples.jl:34
Expression: rv
Stacktrace:
[1] macro expansion at /home/soliva/.julia/packages/CUDAnative/hfulr/test/examples.jl:34 [inlined]
[2] macro expansion at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.4/Test/src/Test.jl:1186 [inlined]
[3] (::var"#680#683"{String})() at /home/soliva/.julia/packages/CUDAnative/hfulr/test/examples.jl:20
Test Summary: | Pass Fail Total
CUDAnative | 522 2 524
base interface | No tests
pointer | 20 20
code generation | 92 92
code generation (relying on a device) | 8 8
execution | 77 77
pointer | 41 41
device arrays | 20 20
CUDA functionality | 251 251
examples | 6 2 8
example = hello_world.jl | 1 1
example = pairwise.jl | 1 1
example = peakflops.jl | 1 1
example = reduce/verify.jl | 1 1
example = scan.jl | 1 1
example = vadd.jl | 1 1
example = wmma/high-level.jl | 1 1
example = wmma/low-level.jl | 1 1
ERROR: LoadError: Some tests did not pass: 522 passed, 2 failed, 0 errored, 0 broken.
in expression starting at /home/soliva/.julia/packages/CUDAnative/hfulr/test/runtests.jl:8
ERROR: Package CUDAnative errored during testing
Stacktrace:
[1] pkgerror(::String, ::Vararg{String,N} where N) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.4/Pkg/src/Types.jl:53
[2] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.4/Pkg/src/Operations.jl:1503
[3] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.4/Pkg/src/API.jl:316
[4] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.4/Pkg/src/API.jl:303
[5] #test#68 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.4/Pkg/src/API.jl:297 [inlined]
[6] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.4/Pkg/src/API.jl:297 [inlined]
[7] #test#67 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.4/Pkg/src/API.jl:296 [inlined]
[8] test(::Array{String,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.4/Pkg/src/API.jl:296
[9] top-level scope at REPL[7]:1