Julia 将圆形缓冲区重塑为第三个维度
我们可以使用以下方法将规则矩阵重塑为三维:Julia 将圆形缓冲区重塑为第三个维度,julia,Julia,我们可以使用以下方法将规则矩阵重塑为三维: julia> data = rand(4,2) 4×2 Array{Float64,2}: 0.89585 0.328315 0.77878 0.619666 0.232389 0.132091 0.48543 0.829476 julia> reshape(data, 4, 1, 2) 4×1×2 Array{Float64,3}: [:, :, 1] = 0.895850499952602 0.7787804
julia> data = rand(4,2)
4×2 Array{Float64,2}:
0.89585 0.328315
0.77878 0.619666
0.232389 0.132091
0.48543 0.829476
julia> reshape(data, 4, 1, 2)
4×1×2 Array{Float64,3}:
[:, :, 1] =
0.895850499952602
0.7787804133322247
0.23238945917674037
0.4854297310447009
[:, :, 2] =
0.3283154491436233
0.6196660556881552
0.13209084702809903
0.8294762758800456
但如果使用CircularBuffer,我们会得到一个错误:
using DataStructures
julia> data = CircularBuffer{Vector{Float64}}(4)
0-element CircularBuffer{Array{Float64,1}}
julia> push!(data, rand(2))
1-element CircularBuffer{Array{Float64,1}}:
[0.0271144, 0.131345]
julia> push!(data, rand(2))
2-element CircularBuffer{Array{Float64,1}}:
[0.0271144, 0.131345]
[0.0483998, 0.384114]
julia> push!(data, rand(2))
3-element CircularBuffer{Array{Float64,1}}:
[0.0271144, 0.131345]
[0.0483998, 0.384114]
[0.856657, 0.239313]
julia> push!(data, rand(2))
4-element CircularBuffer{Array{Float64,1}}:
[0.0271144, 0.131345]
[0.0483998, 0.384114]
[0.856657, 0.239313]
[0.573953, 0.0423042]
julia> reshape(data, 4, 1, 2)
ERROR: DimensionMismatch("parent has 4 elements, which is incompatible with size (4, 1, 2)")
Stacktrace:
[1] _throw_dmrs(::Int64, ::String, ::Tuple{Int64,Int64,Int64}) at ./reshapedarray.jl:180
[2] _reshape at ./reshapedarray.jl:175 [inlined]
[3] reshape(::CircularBuffer{Array{Float64,1}}, ::Tuple{Int64,Int64,Int64}) at ./reshapedarray.jl:112
[4] reshape(::CircularBuffer{Array{Float64,1}}, ::Int64, ::Int64, ::Vararg{Int64,N} where N) at ./reshapedarray.jl:115
[5] top-level scope at none:0
您的
CirclularBuffer
是一个大小为4x1
的Vector
,因此它有4个元素。
因此,您需要具有该元素计数的重塑结构:
julia> CircularBuffer <: AbstractVector
true
julia> reshape(data,2,1,2)
2×1×2 reshape(::CircularBuffer{Array{Float64,1}}, 2, 1, 2) with eltype Array{Float64,1}:
[:, :, 1] =
[0.8553997132170639, 0.823601762586583]
[0.16126832224468735, 0.11158333622955818]
[:, :, 2] =
[0.3559049470946831, 0.8110608687196386]
[0.7729569142023647, 0.9370118594277839]
我猜你想要的是一个
您是在尝试重塑推入
循环缓冲区的数组
对象,还是在尝试重塑循环缓冲区
本身?将一个循环缓冲区重塑为多个维度意味着什么?您希望包装哪个维度?
julia> data2 = CircularBuffer{Float64}(8);
julia> push!.(Ref(data2), rand(8));
julia> reshape(data2, 4, 1, 2)
4×1×2 reshape(::CircularBuffer{Float64}, 4, 1, 2) with eltype Float64:
[:, :, 1] =
0.016467979685045098
0.14558440901833336
0.11701214175525476
0.7006868771470229
[:, :, 2] =
0.03545592972243128
0.19139585572379736
0.5295403356035531
0.5409464215739019
julia> using ReinforcementLearningCore
julia> b = CircularArrayBuffer{Float64}(4, 2)
4×0 CircularArrayBuffer{Float64,2}
julia> push!(b, rand(4));
julia> push!(b, rand(4));
julia> reshape(b, 4, 1, 2)
4×1×2 reshape(::CircularArrayBuffer{Float64,2}, 4, 1, 2) with eltype Float64:
[:, :, 1] =
0.09621058339946265
0.19652636521722577
0.14816367263437913
0.5415815617368629
[:, :, 2] =
0.38976815167466494
0.9344752986999203
0.43187275186834295
0.7951761882018082