Class: CodeRunner::Trinity::Optimisation

Inherits:
Object
  • Object
show all
Includes:
GSL::MultiMin
Defined in:
lib/trinitycrdriver/optimisation.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(optimised_quantity, optimisation_spec) ⇒ Optimisation

Returns a new instance of Optimisation.



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# File 'lib/trinitycrdriver/optimisation.rb', line 12

def initialize(optimised_quantity, optimisation_spec)
  #@folder = folder
  @optimised_quantity = optimised_quantity
  @optimisation_spec = optimisation_spec
  @optimisation_variables = optimisation_spec.map{|code, hash| hash.map{|var, pars| [code, var]}}.flatten(1)
  @optimisation_starts    = optimisation_spec.map{|code, hash| hash.map{|var, pars| pars[0]}}.flatten(1)
  @optimisation_steps     = optimisation_spec.map{|code, hash| hash.map{|var, pars| pars[1]}}.flatten(1)
  #@runner = CodeRunner.fetch_runner(
  #p ['optimisation_variables', @optimisation_variables]
end

Instance Attribute Details

#chease_runner ⇒ Object

Returns the value of attribute chease_runner.



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# File 'lib/trinitycrdriver/optimisation.rb', line 11

def chease_runner
  @chease_runner
end

#optimisation_spec ⇒ Object (readonly)

code_name is either trinity or chease (both can be used simultaneously)



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# File 'lib/trinitycrdriver/optimisation.rb', line 8

def optimisation_spec
  @optimisation_spec
end

#optimisation_variables ⇒ Object (readonly)

Returns the value of attribute optimisation_variables.



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# File 'lib/trinitycrdriver/optimisation.rb', line 9

def optimisation_variables
  @optimisation_variables
end

#trinity_runner ⇒ Object

Returns the value of attribute trinity_runner.



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# File 'lib/trinitycrdriver/optimisation.rb', line 10

def trinity_runner
  @trinity_runner
end

Instance Method Details

#dimension ⇒ Object

p [‘optimisation_variables’, @optimisation_variables]



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# File 'lib/trinitycrdriver/optimisation.rb', line 22

def dimension
  @optimisation_variables.size
end

#func(v) ⇒ Object 



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# File 'lib/trinitycrdriver/optimisation.rb', line 46

def func(v)
  pars = {}
  pars[:chease] = {}
  pars[:trinity] = {}
  for i in 0...v.size
    code, varname = @optimisation_variables[i]
    val = v[i]
    pars[code][varname] = val
  end
  if not @first_run_done
    pars[:trinity][:ntstep] = 300
  else
    #pars[:trinity].delete(:ntstep)
    pars[:trinity][:ntstep] = 100
  end

  pars[:chease][:ap] = [0.3,0.5,0.4,0.0,0.4,0.0,0.0]
  pars[:chease][:at] = [0.16,1.0,1.0,-1.1,-1.1]


  trinity_runner.run_class.instance_variable_set(:@mpi_communicator, MPI::Comm::WORLD)
  if false and trinity_runner.run_list.size > 0
  else
    crun = chease_runner.run_class.new(chease_runner)
    crun.update_submission_parameters(pars[:chease].inspect)
    if @first_run_done
      #crun.nppfun=4
      #crun.neqdsk=0
      #crun.expeq_file = trinity_runner.run_list[@id]
    end
    if chease_runner.run_list.size > 0
      crun.restart_id = @cid
    end
    chease_runner.submit(crun)
    crun = chease_runner.run_list[@cid = chease_runner.max_id]
    crun.recheck
    chease_runner.update
    #chease_runner.print_out(0)
    #FileUtils.cp(crun.directory + '/ogyropsi.dat', trinity_runner.root_folder + '/.')

    run = trinity_runner.run_class.new(trinity_runner)

    run.update_submission_parameters(pars[:trinity].inspect)
    run.gs_folder = crun.directory
    run.evolve_geometry = ".true."
    #trinity_runner.run_class.instance_variable_set(:@delay_execution, true)
    if trinity_runner.run_list.size > 0
      run.restart_id = @id
    end
    trinity_runner.submit(run)
    run = trinity_runner.run_list[@id = trinity_runner.max_id]
    run.recheck
    trinity_runner.update
    #trinity_runner.print_out(0)
    result =  run.send(@optimised_quantity)
    p ['result is ', result]
    @first_run_done = true
    return -result
  end


  #v.square.sum
end

#serial_optimise(optimisation_method, parameters_obj) ⇒ Object 



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# File 'lib/trinitycrdriver/optimisation.rb', line 25

def serial_optimise(optimisation_method, parameters_obj)
  optimisation_meth = case optimisation_method
                      when :simplex
                        FMinimizer::NMSIMPLEX
                      else 
                        raise "Unknown optimisation_method"
                      end
  opt = FMinimizer.alloc(optimisation_meth, @optimisation_variables.size)
  func = Proc.new{|v, optimiser| optimiser.func(v)}
  gsl_func = Function.alloc(func, dimension)
  gsl_func.set_params(self)
  opt.set(gsl_func, @optimisation_starts.to_gslv, @optimisation_steps.to_gslv)
  parameters_obj.nit.times do |i|
    opt.iterate
    p ['status', opt.x, opt.minimum, i, parameters_obj.nit]
  end

  p 'heellllllo'
  MPI.Finalize
  
end