mini_batch_m Module


Uses

  • module~~mini_batch_m~~UsesGraph module~mini_batch_m mini_batch_m module~input_output_pair_m input_output_pair_m module~mini_batch_m->module~input_output_pair_m module~kind_parameters_m kind_parameters_m module~mini_batch_m->module~kind_parameters_m module~input_output_pair_m->module~kind_parameters_m module~tensor_m tensor_m module~input_output_pair_m->module~tensor_m module~tensor_m->module~kind_parameters_m

Used by

  • module~~mini_batch_m~~UsedByGraph module~mini_batch_m mini_batch_m module~inference_engine_m inference_engine_m module~inference_engine_m->module~mini_batch_m module~trainable_engine_m trainable_engine_m module~inference_engine_m->module~trainable_engine_m module~mini_batch_s mini_batch_s module~mini_batch_s->module~mini_batch_m module~trainable_engine_m->module~mini_batch_m module~addition_m addition_m module~addition_m->module~inference_engine_m module~exponentiation_m exponentiation_m module~exponentiation_m->module~inference_engine_m module~multiply_inputs multiply_inputs module~multiply_inputs->module~inference_engine_m module~power_series power_series module~power_series->module~inference_engine_m module~saturated_mixing_ratio_m saturated_mixing_ratio_m module~saturated_mixing_ratio_m->module~inference_engine_m module~thompson_tensors_m thompson_tensors_m module~thompson_tensors_m->module~inference_engine_m module~trainable_engine_s trainable_engine_s module~trainable_engine_s->module~trainable_engine_m module~training_configuration_s training_configuration_s module~training_configuration_s->module~inference_engine_m program~concurrent_inferences concurrent_inferences program~concurrent_inferences->module~inference_engine_m program~learn_addition learn_addition program~learn_addition->module~inference_engine_m program~learn_addition->module~addition_m program~learn_exponentiation learn_exponentiation program~learn_exponentiation->module~inference_engine_m program~learn_exponentiation->module~exponentiation_m program~learn_microphysics_procedures learn_microphysics_procedures program~learn_microphysics_procedures->module~inference_engine_m program~learn_microphysics_procedures->module~thompson_tensors_m program~learn_multiplication learn_multiplication program~learn_multiplication->module~inference_engine_m program~learn_multiplication->module~multiply_inputs program~learn_power_series learn_power_series program~learn_power_series->module~inference_engine_m program~learn_power_series->module~power_series program~print_training_configuration print_training_configuration program~print_training_configuration->module~inference_engine_m program~train_and_write train_and_write program~train_and_write->module~inference_engine_m program~train_saturated_mixture_ratio train_saturated_mixture_ratio program~train_saturated_mixture_ratio->module~inference_engine_m program~train_saturated_mixture_ratio->module~saturated_mixing_ratio_m program~write_read_infer write_read_infer program~write_read_infer->module~inference_engine_m

Interfaces

public interface mini_batch_t

interface

  • private pure module function input_output_pairs(self) result(my_input_output_pairs)

    Arguments

    Type IntentOptional Attributes Name
    class(mini_batch_t), intent(in) :: self

    Return Value type(input_output_pair_t), allocatable, (:)


Derived Types

type, public ::  mini_batch_t

Components

Type Visibility Attributes Name Initial
type(input_output_pair_t), private, allocatable :: input_output_pairs_(:)

Constructor

private pure, module function construct (input_output_pairs)

Type-Bound Procedures

procedure, public :: input_output_pairs