Datasets:
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Browse files- config.toml +0 -54
config.toml
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export_dir = "data/pglearn/9241_pegase"
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# Name of the reference PGLib case. Must be a valid PGLib case name.
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pglib_case = "pglib_opf_case9241_pegase"
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floating_point_type = "Float32"
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[sampler]
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# data sampler options
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[sampler.load]
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noise_type = "ScaledUniform"
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l = 0.6 # Lower bound of base load factor
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u = 1.0 # Upper bound of base load factor
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sigma = 0.20 # Relative (multiplicative) noise level.
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[OPF]
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[OPF.ACOPF]
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type = "ACOPF"
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solver.name = "Ipopt"
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solver.attributes.tol = 1e-6
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solver.attributes.linear_solver = "ma27"
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[OPF.DCOPF]
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# Formulation/solver options
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type = "DCOPF"
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solver.name = "HiGHS"
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[OPF.SOCOPF]
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type = "SOCOPF"
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solver.name = "Clarabel"
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# Tight tolerances
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solver.attributes.tol_gap_abs = 1e-6
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solver.attributes.tol_gap_rel = 1e-6
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solver.attributes.tol_feas = 1e-6
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solver.attributes.tol_infeas_rel = 1e-6
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solver.attributes.tol_ktratio = 1e-6
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# Reduced accuracy settings
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solver.attributes.reduced_tol_gap_abs = 1e-6
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solver.attributes.reduced_tol_gap_rel = 1e-6
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solver.attributes.reduced_tol_feas = 1e-6
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solver.attributes.reduced_tol_infeas_abs = 1e-6
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solver.attributes.reduced_tol_infeas_rel = 1e-6
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solver.attributes.reduced_tol_ktratio = 1e-6
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[slurm]
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n_samples = 250000
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n_jobs = 44
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minibatch_size = 32
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cpus_per_task = 8
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queue = "embers"
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charge_account = "gts-phentenryck3-ai4opt"
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sysimage_memory = "128G"
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sampler_memory = "8G"
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extract_memory = "500G"
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