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Remove LoopVectorizaion
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3 changed files with 1 additions and 59 deletions
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@ -74,7 +74,7 @@ end
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function copy_states_to_old_states_hook!(env_helper::EnvHelper)
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n_particles = env_helper.shared.n_particles
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@turbo for particle_id in 1:n_particles
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@simd for particle_id in 1:n_particles
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env_helper.shared.old_states_id[particle_id] = env_helper.shared.states_id[particle_id]
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end
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@ -15,7 +15,6 @@ using ReinforcementLearning
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using Flux: Flux
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using Intervals
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using StaticArrays: SVector
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using LoopVectorization: @turbo
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using Random: Random
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using ProgressMeter: ProgressMeter
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using JLD2: JLD2
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@ -1,57 +0,0 @@
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using DataFrames: DataFrames
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using PrettyTables: pretty_table
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using ReCo: ReCo
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function latex_table(
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dataframe::DataFrames.DataFrame, filename::String; path::String="exports/$filename"
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)
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open(path, "w") do f
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pretty_table(f, dataframe; backend=:latex, nosubheader=true, alignment=:c)
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end
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return nothing
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end
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"""
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latex_rl_table(env_helper::ReCo.RL.EnvHelper, filename_without_extension::String)
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Generate a LaTeX table to the Q-matrix of `env_helper`.
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The output is `ReCo.jl/exports/filename_without_extension.tex`. `env_helper` has to be an environment helper with the abstract type `EnvHelper`.
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Return `nothing`.
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"""
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function latex_rl_table(env_helper::ReCo.RL.EnvHelper, filename_without_extension::String)
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table = copy(env_helper.shared.agent.policy.learner.approximator.table)
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for col in 1:size(table)[2]
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table[:, col] ./= sum(table[:, col])
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end
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table .= round.(table, digits=2)
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state_spaces_labels = env_helper.shared.env.shared.state_spaces_labels
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states = AbstractString[]
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for i in state_spaces_labels[1]
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for j in state_spaces_labels[2]
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push!(states, i * ";" * j)
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end
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end
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action_spaces_labels = env_helper.shared.env.shared.action_spaces_labels
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actions = AbstractString[]
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for i in action_spaces_labels[1]
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for j in action_spaces_labels[2]
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push!(actions, i * ";" * j)
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end
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end
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df = DataFrames.DataFrame(table, states)
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DataFrames.insertcols!(df, 1, :Actions => actions)
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latex_table(df, "$filename_without_extension.tex")
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return nothing
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end
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