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[WIP] refactor: parser using Symbolics #877

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[WIP] refactor: parser using Symbolics #877

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f9e45a0
refactor: parser using Symbolics [skip ci]
sathvikbhagavan Jul 19, 2024
1a74b0a
refactor: use stateless apply
sathvikbhagavan Jul 19, 2024
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12 changes: 9 additions & 3 deletions src/NeuralPDE.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -19,8 +19,9 @@ using RuntimeGeneratedFunctions
using Statistics
using ArrayInterface
import Optim
using Symbolics: wrap, unwrap, arguments, operation
using SymbolicUtils
using Symbolics: wrap, unwrap, arguments, operation, symtype, @arrayop, Arr
using SymbolicUtils.Code
using SymbolicUtils: Prewalk, Postwalk, Chain
using AdvancedHMC, LogDensityProblems, LinearAlgebra, Functors, MCMCChains
using MonteCarloMeasurements: Particles
using ModelingToolkit: value, nameof, toexpr, build_expr, expand_derivatives, Interval,
Expand All @@ -32,7 +33,10 @@ using SciMLBase: @add_kwonly, parameterless_type
using UnPack: @unpack
import ChainRulesCore, Lux, ComponentArrays
using Lux: FromFluxAdaptor, recursive_eltype
using ChainRulesCore: @non_differentiable
using ChainRulesCore: @non_differentiable, @ignore_derivatives
using PDEBase: AbstractVarEqMapping, VariableMap, cardinalize_eqs!, get_depvars,
get_indvars, differential_order
using LuxCore: stateless_apply

RuntimeGeneratedFunctions.init(@__MODULE__)

Expand All @@ -41,13 +45,15 @@ abstract type AbstractPINN end
abstract type AbstractTrainingStrategy end

include("pinn_types.jl")
include("eq_data.jl")
include("symbolic_utilities.jl")
include("training_strategies.jl")
include("adaptive_losses.jl")
include("ode_solve.jl")
# include("rode_solve.jl")
include("dae_solve.jl")
include("transform_inf_integral.jl")
include("loss_function_generation.jl")
include("discretize.jl")
include("neural_adapter.jl")
include("advancedHMC_MCMC.jl")
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