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configs/snellius64/cno_hres.yaml

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docreatedata: true
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docomp: true
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ntrajectory: 8
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T: "Float64"
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dataproj: true
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projtest: false
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params:
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D: 2
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lims: [0.0, 1.0]
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Re: 6000.0
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tburn: 0.5
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tsim: 5.0
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savefreq: 50
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ndns: 4096
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nles: [64]
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filters: ["FaceAverage()"]
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icfunc: "(setup, psolver, rng) -> random_field(setup, T(0); kp=20, psolver, rng)"
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method: "RKMethods.RK44(; T)"
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bodyforce: "(dim, x, y, t) -> (dim == 1) * 5 * sinpi(8 * y)"
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issteadybodyforce: true
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processors: "(; log = timelogger(; nupdate=100))"
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Δt: 0.00005
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seeds:
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dns: 123456
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θ_start: 234
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prior: 345
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post: 456
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closure:
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name: "CNO-h"
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type: cno
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size: 64
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cutoff: 0.9
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channels: [24, 64, 64, 2]
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activations:
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[
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"Lux.tanh_fast",
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"Lux.tanh_fast",
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"Lux.tanh_fast",
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"identity",
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]
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down_factors: [2, 2, 2, 2]
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radii: [2, 2, 2, 2]
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rng: "Xoshiro(seeds.θ_start)"
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priori:
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dotrain: true
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nepoch: 15000
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batchsize: 64
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opt: "Adam(T(1.0e-3))"
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do_plot: false
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plot_train: false
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lambda: 0.00005
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posteriori:
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dotrain: true
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projectorders: "(ProjectOrder.Last, )"
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nepoch: 3000
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opt: "Adam(T(1.0e-4))"
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nunroll: 5
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nunroll_valid: 10
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nsamples: 3
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dt: 0.0001
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do_plot: false
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plot_train: false
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lambda: 0.00000005
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sciml_solver: "BS3()"

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