input_output_pair_m.f90 Source File


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sourcefile~~input_output_pair_m.f90~~EfferentGraph sourcefile~input_output_pair_m.f90 input_output_pair_m.f90 sourcefile~kind_parameters_m.f90 kind_parameters_m.f90 sourcefile~input_output_pair_m.f90->sourcefile~kind_parameters_m.f90 sourcefile~tensor_m.f90 tensor_m.f90 sourcefile~input_output_pair_m.f90->sourcefile~tensor_m.f90 sourcefile~tensor_m.f90->sourcefile~kind_parameters_m.f90

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sourcefile~~input_output_pair_m.f90~~AfferentGraph sourcefile~input_output_pair_m.f90 input_output_pair_m.f90 sourcefile~inference_engine_m.f90 inference_engine_m.f90 sourcefile~inference_engine_m.f90->sourcefile~input_output_pair_m.f90 sourcefile~mini_batch_m.f90 mini_batch_m.f90 sourcefile~inference_engine_m.f90->sourcefile~mini_batch_m.f90 sourcefile~trainable_engine_m.f90 trainable_engine_m.F90 sourcefile~inference_engine_m.f90->sourcefile~trainable_engine_m.f90 sourcefile~input_output_pair_s.f90 input_output_pair_s.f90 sourcefile~input_output_pair_s.f90->sourcefile~input_output_pair_m.f90 sourcefile~mini_batch_m.f90->sourcefile~input_output_pair_m.f90 sourcefile~concurrent-inferences.f90 concurrent-inferences.f90 sourcefile~concurrent-inferences.f90->sourcefile~inference_engine_m.f90 sourcefile~learn-addition.f90 learn-addition.F90 sourcefile~learn-addition.f90->sourcefile~inference_engine_m.f90 sourcefile~learn-exponentiation.f90 learn-exponentiation.F90 sourcefile~learn-exponentiation.f90->sourcefile~inference_engine_m.f90 sourcefile~learn-microphysics-procedures.f90 learn-microphysics-procedures.F90 sourcefile~learn-microphysics-procedures.f90->sourcefile~inference_engine_m.f90 sourcefile~thompson_tensors_m.f90 thompson_tensors_m.f90 sourcefile~learn-microphysics-procedures.f90->sourcefile~thompson_tensors_m.f90 sourcefile~learn-multiplication.f90 learn-multiplication.F90 sourcefile~learn-multiplication.f90->sourcefile~inference_engine_m.f90 sourcefile~learn-power-series.f90 learn-power-series.F90 sourcefile~learn-power-series.f90->sourcefile~inference_engine_m.f90 sourcefile~learn-saturated-mixing-ratio.f90 learn-saturated-mixing-ratio.F90 sourcefile~learn-saturated-mixing-ratio.f90->sourcefile~inference_engine_m.f90 sourcefile~saturated_mixing_ratio_m.f90 saturated_mixing_ratio_m.f90 sourcefile~learn-saturated-mixing-ratio.f90->sourcefile~saturated_mixing_ratio_m.f90 sourcefile~mini_batch_s.f90 mini_batch_s.f90 sourcefile~mini_batch_s.f90->sourcefile~mini_batch_m.f90 sourcefile~print-training-configuration.f90 print-training-configuration.F90 sourcefile~print-training-configuration.f90->sourcefile~inference_engine_m.f90 sourcefile~saturated_mixing_ratio_m.f90->sourcefile~inference_engine_m.f90 sourcefile~thompson_tensors_m.f90->sourcefile~inference_engine_m.f90 sourcefile~train-and-write.f90 train-and-write.F90 sourcefile~train-and-write.f90->sourcefile~inference_engine_m.f90 sourcefile~trainable_engine_m.f90->sourcefile~mini_batch_m.f90 sourcefile~training_configuration_s.f90 training_configuration_s.F90 sourcefile~training_configuration_s.f90->sourcefile~inference_engine_m.f90 sourcefile~write-read-infer.f90 write-read-infer.F90 sourcefile~write-read-infer.f90->sourcefile~inference_engine_m.f90 sourcefile~trainable_engine_s.f90 trainable_engine_s.F90 sourcefile~trainable_engine_s.f90->sourcefile~trainable_engine_m.f90

Source Code

! Copyright (c), The Regents of the University of California
! Terms of use are as specified in LICENSE.txt
module input_output_pair_m
  use kind_parameters_m, only : rkind
  use tensor_m, only : tensor_t
  implicit none

  private
  public :: input_output_pair_t
  public :: shuffle

  type input_output_pair_t
    private
    type(tensor_t) inputs_, expected_outputs_
  contains
    procedure :: inputs
    procedure :: expected_outputs
  end type

  interface input_output_pair_t

    elemental module function construct(inputs, expected_outputs) result(input_output_pair)
      implicit none
      type(tensor_t), intent(in) :: inputs, expected_outputs
      type(input_output_pair_t) input_output_pair
    end function

  end interface

  interface

    elemental module function inputs(self) result(my_inputs)
      implicit none
      class(input_output_pair_t), intent(in) :: self
      type(tensor_t) :: my_inputs
    end function

    elemental module function expected_outputs(self) result(my_expected_outputs)
      implicit none
      class(input_output_pair_t), intent(in) :: self
      type(tensor_t) :: my_expected_outputs
    end function

    module subroutine shuffle(pairs)
      implicit none
      type(input_output_pair_t), intent(inout) :: pairs(:)
    end subroutine

  end interface

end module input_output_pair_m