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Test runner stumbles over path separators #236

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finmod opened this issue Jun 20, 2020 · 8 comments · Fixed by #241
Closed

Test runner stumbles over path separators #236

finmod opened this issue Jun 20, 2020 · 8 comments · Fixed by #241
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bug Something isn't working tests Adds or changes tests.

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@finmod
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finmod commented Jun 20, 2020 •
edited by maleadt
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test CUDA fails with the following message:

 ptxas application ptx input, line 348; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
   [1] CuModule(::String, ::Dict{CUDA.CUjit_option_enum,Any}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\lib\cuda\module.jl:40
   [2] _cufunction(::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},Float16,Float32}}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:335
   [3] _cufunction at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:302 [inlined]
   [4] #75 at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:21 [inlined]
   [5] get!(::GPUCompiler.var"#75#76"{Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(CUDA._cufunction),GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},Float16,Float32}}}, ::Dict{UInt64,Any}, ::UInt64) at .\dict.jl:452
   [6] macro expansion at .\lock.jl:183 [inlined]
   [7] check_cache(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:19
   [8] + at .\int.jl:53 [inlined]
   [9] hash_64_64 at .\hashing.jl:35 [inlined]
   [10] hash_uint64 at .\hashing.jl:62 [inlined]
   [11] hx at .\float.jl:568 [inlined]
   [12] hash at .\float.jl:571 [inlined]
   [13] cached_compilation(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:0
   [14] cached_compilation(::Function, ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:37
   [15] cufunction(::Function, ::Type; name::Nothing, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:296
   [16] cufunction(::Function, ::Type{T} where T) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:291
   [17] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:108
   [18] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\setup.jl:196
   [19] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:227
   [20] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1186
   [21] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184
   [22] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1113
   [23] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184

Error in testset device\wmma:
Error During Test at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\setup.jl:196
  Test threw exception
  Expression: $(Expr(:escape, quote
    #= C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:228 =# @cuda threads = 32 kernel(a_dev, b_dev, c_dev, d_dev, alpha, beta)
    d = Array(d_dev)
    new_a = if a_layout == ColMajor
            a
        else
            transpose(a)
        end
    new_b = if b_layout == ColMajor
            b
        else
            transpose(b)
        end
    new_c = if c_layout == ColMajor
            c
        else
            transpose(c)
        end
    new_d = if d_layout == ColMajor
            d
        else
            transpose(d)
        end
    if do_mac
        all(isapprox.(alpha * new_a * new_b + beta * new_c, new_d; rtol = sqrt(eps(Float16))))
    else
        all(isapprox.(alpha * new_a * new_b, new_d; rtol = sqrt(eps(Float16))))
    end
end))
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 46; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 46; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 63; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 63; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 64; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 64; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 353; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 353; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 358; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 358; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
   [1] CuModule(::String, ::Dict{CUDA.CUjit_option_enum,Any}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\lib\cuda\module.jl:40
   [2] _cufunction(::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:335
   [3] _cufunction at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:302 [inlined]
   [4] #75 at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:21 [inlined]
   [5] get!(::GPUCompiler.var"#75#76"{Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(CUDA._cufunction),GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}}, ::Dict{UInt64,Any}, ::UInt64) at .\dict.jl:452
   [6] macro expansion at .\lock.jl:183 [inlined]
   [7] check_cache(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:19
   [8] + at .\int.jl:53 [inlined]
   [9] hash_64_64 at .\hashing.jl:35 [inlined]
   [10] hash_uint64 at .\hashing.jl:62 [inlined]
   [11] hx at .\float.jl:568 [inlined]
   [12] hash at .\float.jl:571 [inlined]
   [13] cached_compilation(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:0
   [14] cached_compilation(::Function, ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:37
   [15] cufunction(::Function, ::Type; name::Nothing, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:296
   [16] cufunction(::Function, ::Type{T} where T) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:291
   [17] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:108
   [18] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\setup.jl:196
   [19] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:227
   [20] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1186
   [21] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184
   [22] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1113
   [23] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184

Error in testset device\wmma:
Error During Test at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\setup.jl:196
  Test threw exception
  Expression: $(Expr(:escape, quote
    #= C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:228 =# @cuda threads = 32 kernel(a_dev, b_dev, c_dev, d_dev, alpha, beta)
    d = Array(d_dev)
    new_a = if a_layout == ColMajor
            a
        else
            transpose(a)
        end
    new_b = if b_layout == ColMajor
            b
        else
            transpose(b)
        end
    new_c = if c_layout == ColMajor
            c
        else
            transpose(c)
        end
    new_d = if d_layout == ColMajor
            d
        else
            transpose(d)
        end
    if do_mac
        all(isapprox.(alpha * new_a * new_b + beta * new_c, new_d; rtol = sqrt(eps(Float16))))
    else
        all(isapprox.(alpha * new_a * new_b, new_d; rtol = sqrt(eps(Float16))))
    end
end))
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 44; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 44; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 61; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 61; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 343; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 343; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 348; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 348; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
   [1] CuModule(::String, ::Dict{CUDA.CUjit_option_enum,Any}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\lib\cuda\module.jl:40
   [2] _cufunction(::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:335
   [3] _cufunction at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:302 [inlined]
   [4] #75 at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:21 [inlined]
   [5] get!(::GPUCompiler.var"#75#76"{Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(CUDA._cufunction),GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}}, ::Dict{UInt64,Any}, ::UInt64) at .\dict.jl:452
   [6] macro expansion at .\lock.jl:183 [inlined]
   [7] check_cache(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:19
   [8] + at .\int.jl:53 [inlined]
   [9] hash_64_64 at .\hashing.jl:35 [inlined]
   [10] hash_uint64 at .\hashing.jl:62 [inlined]
   [11] hx at .\float.jl:568 [inlined]
   [12] hash at .\float.jl:571 [inlined]
   [13] cached_compilation(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:0
   [14] cached_compilation(::Function, ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:37
   [15] cufunction(::Function, ::Type; name::Nothing, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:296
   [16] cufunction(::Function, ::Type{T} where T) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:291
   [17] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:108
   [18] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\setup.jl:196
   [19] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:227
   [20] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1186
   [21] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184
   [22] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1113
   [23] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184

ERROR: LoadError: Test run finished with errors
in expression starting at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\runtests.jl:402
ERROR: Package CUDA errored during testing

(@v1.4) pkg>
@maleadt
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maleadt commented Jun 21, 2020

Could you offer some more details? Version of CUDA (CUDA.version())? Using artifacts? Which GPU?

@finmod
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finmod commented Jun 21, 2020

using CUDA
CUDA.version()
v"10.1.0"
Annotation 2020-06-21 175927

@maleadt
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maleadt commented Jun 22, 2020

Your first report mentions test failures for the device/wmma testset, while your second shows that these tests are skipped (Skipping the following tests: cutensor, device/wmma)... Are you reporting the same thing here?

Also include the actual errors, a screenshot like that isn't particularly useful.

@maleadt maleadt added the needs information Further information is requested label Jun 22, 2020
@finmod
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finmod commented Jun 22, 2020 •
edited by maleadt
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All these outputs follow from the same command >test CUDA. The top half of the report is the screenshot above showing that device\array and device\cuda fail. Then the output is as follows:

ptxas application ptx input, line 348; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
   [1] CuModule(::String, ::Dict{CUDA.CUjit_option_enum,Any}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\lib\cuda\module.jl:40
   [2] _cufunction(::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},Float16,Float32}}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:335
   [3] _cufunction at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:302 [inlined]
   [4] #75 at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:21 [inlined]
   [5] get!(::GPUCompiler.var"#75#76"{Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(CUDA._cufunction),GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},Float16,Float32}}}, ::Dict{UInt64,Any}, ::UInt64) at .\dict.jl:452
   [6] macro expansion at .\lock.jl:183 [inlined]
   [7] check_cache(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:19
   [8] + at .\int.jl:53 [inlined]
   [9] hash_64_64 at .\hashing.jl:35 [inlined]
   [10] hash_uint64 at .\hashing.jl:62 [inlined]
   [11] hx at .\float.jl:568 [inlined]
   [12] hash at .\float.jl:571 [inlined]
   [13] cached_compilation(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:0
   [14] cached_compilation(::Function, ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:37
   [15] cufunction(::Function, ::Type; name::Nothing, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:296
   [16] cufunction(::Function, ::Type{T} where T) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:291
   [17] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:108
   [18] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\setup.jl:196
   [19] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:227
   [20] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1186
   [21] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184
   [22] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1113
   [23] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184

Error in testset device\wmma:
Error During Test at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\setup.jl:196
  Test threw exception
  Expression: $(Expr(:escape, quote
    #= C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:228 =# @cuda threads = 32 kernel(a_dev, b_dev, c_dev, d_dev, alpha, beta)
    d = Array(d_dev)
    new_a = if a_layout == ColMajor
            a
        else
            transpose(a)
        end
    new_b = if b_layout == ColMajor
            b
        else
            transpose(b)
        end
    new_c = if c_layout == ColMajor
            c
        else
            transpose(c)
        end
    new_d = if d_layout == ColMajor
            d
        else
            transpose(d)
        end
    if do_mac
        all(isapprox.(alpha * new_a * new_b + beta * new_c, new_d; rtol = sqrt(eps(Float16))))
    else
        all(isapprox.(alpha * new_a * new_b, new_d; rtol = sqrt(eps(Float16))))
    end
end))
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 46; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 46; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 63; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 63; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 64; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 64; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 353; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 353; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 358; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 358; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
   [1] CuModule(::String, ::Dict{CUDA.CUjit_option_enum,Any}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\lib\cuda\module.jl:40
   [2] _cufunction(::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:335
   [3] _cufunction at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:302 [inlined]
   [4] #75 at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:21 [inlined]
   [5] get!(::GPUCompiler.var"#75#76"{Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(CUDA._cufunction),GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}}, ::Dict{UInt64,Any}, ::UInt64) at .\dict.jl:452
   [6] macro expansion at .\lock.jl:183 [inlined]
   [7] check_cache(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:19
   [8] + at .\int.jl:53 [inlined]
   [9] hash_64_64 at .\hashing.jl:35 [inlined]
   [10] hash_uint64 at .\hashing.jl:62 [inlined]
   [11] hx at .\float.jl:568 [inlined]
   [12] hash at .\float.jl:571 [inlined]
   [13] cached_compilation(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:0
   [14] cached_compilation(::Function, ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:37
   [15] cufunction(::Function, ::Type; name::Nothing, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:296
   [16] cufunction(::Function, ::Type{T} where T) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:291
   [17] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:108
   [18] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\setup.jl:196
   [19] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:227
   [20] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1186
   [21] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184
   [22] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1113
   [23] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184

Error in testset device\wmma:
Error During Test at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\setup.jl:196
  Test threw exception
  Expression: $(Expr(:escape, quote
    #= C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:228 =# @cuda threads = 32 kernel(a_dev, b_dev, c_dev, d_dev, alpha, beta)
    d = Array(d_dev)
    new_a = if a_layout == ColMajor
            a
        else
            transpose(a)
        end
    new_b = if b_layout == ColMajor
            b
        else
            transpose(b)
        end
    new_c = if c_layout == ColMajor
            c
        else
            transpose(c)
        end
    new_d = if d_layout == ColMajor
            d
        else
            transpose(d)
        end
    if do_mac
        all(isapprox.(alpha * new_a * new_b + beta * new_c, new_d; rtol = sqrt(eps(Float16))))
    else
        all(isapprox.(alpha * new_a * new_b, new_d; rtol = sqrt(eps(Float16))))
    end
end))
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 44; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 44; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 61; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 61; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 343; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 343; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas application ptx input, line 348; error   : Feature 'WMMA with floating point types' requires .target sm_70 or higher
  ptxas application ptx input, line 348; error   : Modifier '.m16n16k16' requires .target sm_70 or higher
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
   [1] CuModule(::String, ::Dict{CUDA.CUjit_option_enum,Any}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\lib\cuda\module.jl:40
   [2] _cufunction(::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:335
   [3] _cufunction at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:302 [inlined]
   [4] #75 at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:21 [inlined]
   [5] get!(::GPUCompiler.var"#75#76"{Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(CUDA._cufunction),GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}}, ::Dict{UInt64,Any}, ::UInt64) at .\dict.jl:452
   [6] macro expansion at .\lock.jl:183 [inlined]
   [7] check_cache(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:19
   [8] + at .\int.jl:53 [inlined]
   [9] hash_64_64 at .\hashing.jl:35 [inlined]
   [10] hash_uint64 at .\hashing.jl:62 [inlined]
   [11] hx at .\float.jl:568 [inlined]
   [12] hash at .\float.jl:571 [inlined]
   [13] cached_compilation(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:0
   [14] cached_compilation(::Function, ::GPUCompiler.FunctionSpec{typeof(kernel),Tuple{CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float16,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},CuDeviceArray{Float32,2,CUDA.AS.Global},Float16,Float32}}, ::UInt64) at C:\Users\Denis\.julia\packages\GPUCompiler\lqbF2\src\cache.jl:37
   [15] cufunction(::Function, ::Type; name::Nothing, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:296
   [16] cufunction(::Function, ::Type{T} where T) at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:291
   [17] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\src\compiler\execution.jl:108
   [18] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\setup.jl:196
   [19] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:227
   [20] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1186
   [21] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184
   [22] top-level scope at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.4\Test\src\Test.jl:1113
   [23] top-level scope at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\device\wmma.jl:184

ERROR: LoadError: Test run finished with errors
in expression starting at C:\Users\Denis\.julia\packages\CUDA\5t6R9\test\runtests.jl:402
ERROR: Package CUDA errored during testing

(@v1.4) pkg>

@maleadt
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maleadt commented Jun 22, 2020 •
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Please use triple backtick to quote output.

Does your system have a single GPU?

@maleadt maleadt changed the title Test CUDA fails Test runner stumbles over path separators Jun 22, 2020
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maleadt commented Jun 22, 2020

Ah, now I see, this is Windows vs Linux, device/wmma not matching device\wmma...

@maleadt maleadt added bug Something isn't working tests Adds or changes tests. and removed needs information Further information is requested labels Jun 22, 2020
@maleadt maleadt mentioned this issue Jun 22, 2020
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finmod commented Jun 22, 2020

Most probably...but it must be a single occurrence in the code because other tests are fine.

@maleadt maleadt reopened this Jun 24, 2020
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maleadt commented Aug 25, 2020

Should be fixed again.

@maleadt maleadt closed this as completed Aug 25, 2020
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Replace slash by path separator to properly skip tests on Windows. JuliaGPU/CUDA.jl
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@maleadt @finmod