bughelp wanted
Métriques du dépôt
- Stars
- (4 725 stars)
- Métriques de merge PR
- (Merge moyen 4h 27m) (2 PRs mergées en 30 j)
Description
Not something I need to do, but the NaiveNASflux tests hits this.
Haven't dug further into it, but I guess it just hits some obsolete codepath:
(jl_SVtHZz) pkg> status
Status `E:\Temp\systmp\jl_SVtHZz\Project.toml`
[587475ba] Flux v0.14.16
julia> versioninfo()
Julia Version 1.10.4
Commit 48d4fd4843 (2024-06-04 10:41 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Windows (x86_64-w64-mingw32)
CPU: 12 × Intel(R) Core(TM) i7-5820K CPU @ 3.30GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 12 virtual cores)
Environment:
JULIA_DEPOT_PATH = E:/Programs/julia/.julia
JULIA_PKG_DEVDIR = E:/Programs/julia/.julia/dev
julia> using Flux
[ Info: Precompiling Flux [587475ba-b771-5e3f-ad9e-33799f191a9c]
julia> ConvTranspose((1,1), 1=>1)(ones(Float32, 1, 1, 1, 1))
1×1×1×1 Array{Float32, 4}:
[:, :, 1, 1] =
-1.4218559
julia> ConvTranspose((1,1), 1=>1; pad=(1,1))(ones(Float32, 1, 1, 1, 1))
ERROR: MethodError: no method matching DenseConvDims(::Tuple{…}, ::NTuple{…}; stride::Tuple{…}, padding::Tuple{…}, dilation::Tuple{…}, groups::Int64)
Closest candidates are:
DenseConvDims(::Tuple{Vararg{Int64, N}}, ::Tuple{Vararg{Int64, K}}, ::Int64, ::Int64, ::Int64, ::Tuple{Vararg{Int64, S}}, ::Tuple{Vararg{Int64, P}}, ::Tuple{Vararg{Int64, D}}, ::Bool) where {N, K, S, P, D} got unsupported keyword arguments "stride", "padding", "dilation", "groups"
@ NNlib E:\Programs\julia\.julia\packages\NNlib\jLaeV\src\dim_helpers\DenseConvDims.jl:7
DenseConvDims(::Tuple{Vararg{T, M}} where T, ::Tuple{Vararg{T, M}} where T; stride, padding, dilation, groups, flipkernel) where M
@ NNlib E:\Programs\julia\.julia\packages\NNlib\jLaeV\src\dim_helpers\DenseConvDims.jl:20
Stacktrace:
[1] conv_transpose_dims(c::ConvTranspose{2, 2, typeof(identity), Array{Float32, 4}, Vector{Float32}}, x::Array{Float32, 4})
@ Flux E:\Programs\julia\.julia\packages\Flux\CUn7U\src\layers\conv.jl:323
[2] (::ConvTranspose{2, 2, typeof(identity), Array{Float32, 4}, Vector{Float32}})(x::Array{Float32, 4})
@ Flux E:\Programs\julia\.julia\packages\Flux\CUn7U\src\layers\conv.jl:336
[3] top-level scope
@ REPL[7]:1
Some type information was truncated. Use `show(err)` to see complete types.