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1.5.0-DEV-51f1710d7e.log
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Julia Version 1.5.0-DEV.212
Commit 51f1710d7e (2020-01-31 07:16 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-9.0.1 (ORCJIT, skylake)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed ArrayLayouts ─────── v0.1.5
Installed Requires ─────────── v1.0.0
Installed LazyStack ────────── v0.0.5
Installed TensorCast ───────── v0.2.0
Installed OrderedCollections ─ v1.1.0
Installed NamedDims ────────── v0.2.14
Installed MacroTools ───────── v0.5.3
Installed DataStructures ───── v0.17.9
Installed ZygoteRules ──────── v0.2.0
Installed Compat ───────────── v3.2.0
Installed OffsetArrays ─────── v1.0.2
Installed FillArrays ───────── v0.8.4
Installed LazyArrays ───────── v0.14.11
Installed StaticArrays ─────── v0.12.1
Updating `~/.julia/environments/v1.5/Project.toml`
[02d47bb6] + TensorCast v0.2.0
Updating `~/.julia/environments/v1.5/Manifest.toml`
[4c555306] + ArrayLayouts v0.1.5
[34da2185] + Compat v3.2.0
[864edb3b] + DataStructures v0.17.9
[1a297f60] + FillArrays v0.8.4
[5078a376] + LazyArrays v0.14.11
[1fad7336] + LazyStack v0.0.5
[1914dd2f] + MacroTools v0.5.3
[356022a1] + NamedDims v0.2.14
[6fe1bfb0] + OffsetArrays v1.0.2
[bac558e1] + OrderedCollections v1.1.0
[ae029012] + Requires v1.0.0
[90137ffa] + StaticArrays v0.12.1
[02d47bb6] + TensorCast v0.2.0
[700de1a5] + ZygoteRules v0.2.0
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[b77e0a4c] + InteractiveUtils
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Testing TensorCast
Status `/tmp/jl_Kyz7hf/Manifest.toml`
[4c555306] ArrayLayouts v0.1.5
[34da2185] Compat v3.2.0
[adafc99b] CpuId v0.2.2
[864edb3b] DataStructures v0.17.9
[b7d42ee7] Einsum v0.4.1
[1a297f60] FillArrays v0.8.4
[5cadff95] JuliennedArrays v0.2.2
[5078a376] LazyArrays v0.14.11
[1fad7336] LazyStack v0.0.5
[bdcacae8] LoopVectorization v0.6.3
[1914dd2f] MacroTools v0.5.3
[356022a1] NamedDims v0.2.14
[6fe1bfb0] OffsetArrays v1.0.2
[bac558e1] OrderedCollections v1.1.0
[d96e819e] Parameters v0.12.0
[ae029012] Requires v1.0.0
[21efa798] SIMDPirates v0.3.2
[476501e8] SLEEFPirates v0.3.1
[90137ffa] StaticArrays v0.12.1
[5e0ebb24] Strided v0.3.3
[02d47bb6] TensorCast v0.2.0
[9d95972d] TupleTools v1.2.0
[3d5dd08c] VectorizationBase v0.2.4
[700de1a5] ZygoteRules v0.2.0
[2a0f44e3] Base64
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[b77e0a4c] InteractiveUtils
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[44cfe95a] Pkg
[de0858da] Printf
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
Test Summary: | Pass Broken Total
ex-@shape | 94 1 95
Test Summary: | Pass Total
@reduce | 17 17
Test Summary: | Pass Total
@cast | 23 23
Test Summary: | Pass Total
@matmul | 32 32
Test Summary: | Pass Total
slice/view | 16 16
begin
local (sz_i, sz_j) = (size(B, 1), size(B, 2))
local crane = reshape(A, (sz_i, sz_j))
crane .= B
A
end
begin
@assert_ ndims(B) == 2 "expected a 2-tensor B[i, (j, k)]"
local (sz_i, sz_j, sz_k) = (size(B, 1), :, length(C))
local crane = reshape(B, (sz_i, sz_j, sz_k))
A = sliceview(crane, (:, :, *))
end
Test Summary: | Pass Total
old readmes | 16 16
┌ Warning: @matmul has bugs in how it handles more than two factors
│ call.string = "@matmul Z[i, l] := sum(j, k) A[i, j] * B[j, k] * C[k, l]"
└ @ TensorCast ~/.julia/packages/TensorCast/nUZXK/src/macro.jl:619
Test Summary: | Pass Broken Total
new in 0.2 | 82 2 84
Testing TensorCast tests passed