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chore(neural_network_t): make tensor_map_t components private #238

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Merged
rouson merged 1 commit into from
Feb 6, 2025
Merged

chore(neural_network_t): make tensor_map_t components private #238

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2 changes: 1 addition & 1 deletion src/fiats/neural_network_m.f90
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ module neural_network_m
type neural_network_t(k)
!! Encapsulate the information needed to perform inference
integer, kind :: k = default_real
type(tensor_map_t(k)) :: input_map_, output_map_
type(tensor_map_t(k)), private :: input_map_, output_map_
type(metadata_t), private :: metadata_
real(k), allocatable, private :: weights_(:,:,:), biases_(:,:)
integer, allocatable, private :: nodes_(:)
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5 changes: 3 additions & 2 deletions src/fiats/trainable_network_s.f90
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Expand Up @@ -18,8 +18,9 @@
module procedure default_real_map_to_training_ranges
associate(inputs => input_output_pair%inputs(), expected_outputs => input_output_pair%expected_outputs())
associate( &
normalized_inputs => self%input_map_%map_to_training_range(inputs), &
normalized_outputs => self%output_map_%map_to_training_range(expected_outputs) &
normalized_inputs => self%map_to_input_range(inputs), &
normalized_outputs => self%map_from_output_range(expected_outputs) &

)
normalized_input_output_pair = input_output_pair_t(normalized_inputs, normalized_outputs)
end associate
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