upgrade dependencies

[GiggleLiu]

@chriselrod I update the dependencies. However, there are some strange errors when computing

matmul(::Transpose{TropicalF32, ...}, ::Matrix{TropicalF32})

The error message is:

matmul: Error During Test at /home/leo/.julia/dev/TropicalGEMM/test/gemm.jl:18
  Test threw exception
  Expression: isapprox(distance(f(a, b), naive_mul!(similar(a), a, b)), 0; atol = atol)
  KeyError: key TropicalF32 not found
  Stacktrace:
    [1] getindex
      @ ./iddict.jl:93 [inlined]
    [2] shuffle_load_quote(#unused#::Type{TropicalF32}, integer_params::NTuple{9, Int64}, #unused#::Type{StaticInt{0}}, align::Bool, rs::Int64, MASKFLAG::UInt64)
      @ VectorizationBase ~/.julia/packages/VectorizationBase/FKaMR/src/vecunroll/memory.jl:89
    [3] #s157#317
      @ ~/.julia/packages/VectorizationBase/FKaMR/src/vecunroll/memory.jl:374 [inlined]
    [4] var"#s157#317"(A::Any, AU::Any, F::Any, N::Any, AV::Any, W::Any, M::Any, I::Any, T::Any, D::Any, RS::Any, UX::Any, X::Any, C::Any, B::Any, ::Any, sptr::Any, u::Any, sm::Any, #unused#::Type, #unused#::Type, #unused#::Any)
      @ VectorizationBase ./none:0
    [5] (::Core.GeneratedFunctionStub)(::Any, ::Vararg{Any, N} where N)
      @ Core ./boot.jl:571
    [6] _vload
      @ ~/.julia/packages/VectorizationBase/FKaMR/src/vecunroll/memory.jl:419 [inlined]
    [7] macro expansion
      @ ~/.julia/packages/LoopVectorization/VCKTK/src/reconstruct_loopset.jl:683 [inlined]
    [8] _avx_!(::Val{(false, 0, 0, false, 8, 32, 15, 64, 32768, 262144, 12582912, 0x0000000000000001)}, ::Val{(:numericconstant, Symbol("###zero###11###"), LoopVectorization.OperationStruct(0x0000000000000012, 0x0000000000000000, 0x0000000000000003,  ... ::Int64, ::Ptr{TropicalF32}, ::Ptr{TropicalF32}, ::Ptr{TropicalF32}, ::Int64, ::Int64, ::Int64)
      @ LoopVectorization ~/.julia/packages/LoopVectorization/VCKTK/src/reconstruct_loopset.jl:683
    [9] loopmul!
      @ ~/.julia/dev/Octavian/src/macrokernels.jl:83 [inlined]
   [10] _matmul!
      @ ~/.julia/dev/Octavian/src/matmul.jl:273 [inlined]
   [11] matmul(A::LinearAlgebra.Transpose{TropicalF32, Matrix{TropicalF32}}, B::Matrix{TropicalF32})
      @ Octavian ~/.julia/dev/Octavian/src/matmul.jl:209
   [12] macro expansion
      @ ~/.julia/dev/TropicalGEMM/test/gemm.jl:54 [inlined]
   [13] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [14] top-level scope
      @ ~/.julia/dev/TropicalGEMM/test/gemm.jl:39

I do not have any specialization for Float32 types. Do you have any clue on this error?

[GiggleLiu]

This is a minimum working example.

julia> using TropicalGEMM

julia> a = Tropical.(randn(10, 10)); b = copy(a);

julia> transpose(a) * b
ERROR: KeyError: key TropicalF64 not found
Stacktrace:
  [1] getindex
    @ ./iddict.jl:93 [inlined]
  [2] shuffle_load_quote(#unused#::Type{TropicalF64}, integer_params::NTuple{9, Int64}, #unused#::Type{Static.StaticInt{0}}, align::Bool, rs::Int64, MASKFLAG::UInt64)
    @ VectorizationBase ~/.julia/packages/VectorizationBase/rpkMv/src/vecunroll/memory.jl:90
  [3] #s156#317
    @ ~/.julia/packages/VectorizationBase/rpkMv/src/vecunroll/memory.jl:375 [inlined]
  [4] var"#s156#317"(A::Any, AU::Any, F::Any, N::Any, AV::Any, W::Any, M::Any, I::Any, T::Any, D::Any, RS::Any, UX::Any, X::Any, C::Any, B::Any, ::Any, sptr::Any, u::Any, sm::Any, #unused#::Type, #unused#::Type, #unused#::Any)
    @ VectorizationBase ./none:0
  [5] (::Core.GeneratedFunctionStub)(::Any, ::Vararg{Any, N} where N)
    @ Core ./boot.jl:571
  [6] _vload
    @ ~/.julia/packages/VectorizationBase/rpkMv/src/vecunroll/memory.jl:420 [inlined]
  [7] macro expansion
    @ ~/.julia/packages/LoopVectorization/yPiaG/src/reconstruct_loopset.jl:671 [inlined]
  [8] _avx_!(::Val{(false, 0, 0, false, 4, 32, 15, 64, 32768, 262144, 12582912, 0x0000000000000001)}, ::Val{(:numericconstant, Symbol("###zero###11###"), LoopVectorization.OperationStruct(0x0000000000000012, 0x0000000000000000, 0x0000000000000003, 0x0000000000000000, LoopVectorization.constant, 0x00, 0x01), :LoopVectorization, :getindex, LoopVectorization.OperationStruct(0x0000000000000023, 0x0000000000000000, 0x0000000000000000, 0x0000000000000000, LoopVectorization.memload, 0x01, 0x02), :LoopVectorization, :getindex, LoopVectorization.OperationStruct(0x0000000000000031, 0x0000000000000000, 0x0000000000000000, 0x0000000000000000, LoopVectorization.memload, 0x02, 0x03), :LoopVectorization, :vfmadd_fast, LoopVectorization.OperationStruct(0x0000000000000231, 0x0000000000000003, 0x0000000000000000, 0x0000000000020301, LoopVectorization.compute, 0x00, 0x01), :LoopVectorization, :identity, LoopVectorization.OperationStruct(0x0000000000000012, 0x0000000000000003, 0x0000000000000000, 0x0000000000000004, LoopVectorization.compute, 0x00, 0x01), :LoopVectorization, :LOOPCONSTANTINSTRUCTION, LoopVectorization.OperationStruct(0x0000000000000000, 0x0000000000000000, 0x0000000000000000, 0x0000000000000000, LoopVectorization.constant, 0x00, 0x04), :LoopVectorization, :LOOPCONSTANTINSTRUCTION, LoopVectorization.OperationStruct(0x0000000000000000, 0x0000000000000000, 0x0000000000000000, 0x0000000000000000, LoopVectorization.constant, 0x00, 0x05), :LoopVectorization, :getindex, LoopVectorization.OperationStruct(0x0000000000000021, 0x0000000000000000, 0x0000000000000000, 0x0000000000000000, LoopVectorization.memload, 0x03, 0x06), :LoopVectorization, :mul_fast, LoopVectorization.OperationStruct(0x0000000000000021, 0x0000000000000000, 0x0000000000000000, 0x0000000000000708, LoopVectorization.compute, 0x00, 0x07), :LoopVectorization, :vfmadd_fast, LoopVectorization.OperationStruct(0x0000000000000012, 0x0000000000000003, 0x0000000000000000, 0x0000000000060509, LoopVectorization.compute, 0x00, 0x06), :LoopVectorization, :setindex!, LoopVectorization.OperationStruct(0x0000000000000021, 0x0000000000000003, 0x0000000000000000, 0x000000000000000a, LoopVectorization.memstore, 0x03, 0x08))}, ::Val{(LoopVectorization.ArrayRefStruct{:A, Symbol("##vptr##_A")}(0x0000000000000101, 0x0000000000000203, 0x0000000000000000, 0x0000000000000101), LoopVectorization.ArrayRefStruct{:B, Symbol("##vptr##_B")}(0x0000000000000101, 0x0000000000000301, 0x0000000000000000, 0x0000000000000101), LoopVectorization.ArrayRefStruct{:C, Symbol("##vptr##_C")}(0x0000000000000101, 0x0000000000000201, 0x0000000000000000, 0x0000000000000101))}, ::Val{(0, (), (6, 7), (), (), ((1, LoopVectorization.IntOrFloat),), ())}, ::Val{(:n, :m, :k)}, ::Val{Tuple{Tuple{StrideArraysCore.CloseOpen{Static.StaticInt{0}, Int64}, StrideArraysCore.CloseOpen{Static.StaticInt{0}, Int64}, StrideArraysCore.CloseOpen{Static.StaticInt{0}, Int64}}, Tuple{VectorizationBase.GroupedStridedPointers{Tuple{Ptr{TropicalF64}, Ptr{TropicalF64}, Ptr{TropicalF64}}, (2, 1, 1), (0, 0, 0), ((2, 1), (1, 2), (1, 2)), ((1, 2), (3, 4), (5, 6)), Tuple{Int64, Static.StaticInt{8}, Static.StaticInt{8}, Int64, Static.StaticInt{8}, Int64}, NTuple{6, Static.StaticInt{0}}}, TropicalF64, TropicalF64}}}, ::Int64, ::Int64, ::Int64, ::Ptr{TropicalF64}, ::Ptr{TropicalF64}, ::Ptr{TropicalF64}, ::Int64, ::Int64, ::Int64, ::Float64, ::Float64)
    @ LoopVectorization ~/.julia/packages/LoopVectorization/yPiaG/src/reconstruct_loopset.jl:671
  [9] loopmul!
    @ ~/.julia/packages/Octavian/yOhDw/src/macrokernels.jl:83 [inlined]
 [10] _matmul!
    @ ~/.julia/packages/Octavian/yOhDw/src/matmul.jl:273 [inlined]
 [11] matmul!
    @ ~/.julia/packages/Octavian/yOhDw/src/matmul.jl:236 [inlined]
 [12] matmul!
    @ ~/.julia/packages/Octavian/yOhDw/src/matmul.jl:226 [inlined]
 [13] mul!(o::Matrix{TropicalF64}, a::LinearAlgebra.Transpose{TropicalF64, Matrix{TropicalF64}}, b::Matrix{TropicalF64}, α::Bool, β::Bool)
    @ TropicalGEMM ~/.julia/dev/TropicalGEMM/src/gemm.jl:158
 [14] mul!
    @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/LinearAlgebra/src/matmul.jl:275 [inlined]
 [15] *(A::LinearAlgebra.Transpose{TropicalF64, Matrix{TropicalF64}}, B::Matrix{TropicalF64})
    @ LinearAlgebra /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/LinearAlgebra/src/matmul.jl:153
 [16] top-level scope
    @ REPL[3]:1

[chriselrod]

Try adding mask versions of this.

[codecov]

Codecov Report

Merging #9 (aabcd78) into master (7dfc873) will increase coverage by 1.88%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master       #9      +/-   ##
==========================================
+ Coverage   86.11%   88.00%   +1.88%     
==========================================
  Files           3        2       -1     
  Lines          72       75       +3     
==========================================
+ Hits           62       66       +4     
+ Misses         10        9       -1     

Impacted Files	Coverage Δ
src/fallbacks.jl	91.30% <100.00%> (ø)
src/gemm.jl	86.53% <100.00%> (+3.20%)	⬆️
src/TropicalGEMM.jl

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[GiggleLiu]

Thanks, it solved the problem. 🎉