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Feature: redesigned functionality for mapping input and output tensors to and from training ranges #148

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merged 2 commits into from
Apr 19, 2024
Merged

Feature: redesigned functionality for mapping input and output tensors to and from training ranges #148

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e5dbc5e
feat(inference_engine_t): map without getters
rouson Apr 19, 2024
3b89271
feat(inference_engine_t): elemental range mappings
rouson Apr 19, 2024
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16 changes: 10 additions & 6 deletions src/inference_engine/inference_engine_m_.f90
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Original file line number Diff line number Diff line change
Expand Up @@ -31,8 +31,8 @@ module inference_engine_m_
contains
procedure :: infer
procedure :: to_json
procedure :: input_range
procedure :: output_range
procedure :: map_to_input_range
procedure :: map_from_output_range
procedure :: num_inputs
procedure :: num_outputs
procedure :: nodes_per_layer
Expand Down Expand Up @@ -82,16 +82,20 @@ impure elemental module function construct_from_json(file_) result(inference_eng

interface

pure module function input_range(self) result(my_input_range)
elemental module function map_to_input_range(self, tensor) result(normalized_tensor)
!! The result contains the input tensor values normalized to fall on the range used during training
implicit none
class(inference_engine_t), intent(in) :: self
type(tensor_range_t) my_input_range
type(tensor_t), intent(in) :: tensor
type(tensor_t) normalized_tensor
end function

pure module function output_range(self) result(my_output_range)
elemental module function map_from_output_range(self, normalized_tensor) result(tensor)
!! The result contains the output tensor values unnormalized via the inverse of the mapping used in training
implicit none
class(inference_engine_t), intent(in) :: self
type(tensor_range_t) my_output_range
type(tensor_t), intent(in) :: normalized_tensor
type(tensor_t) tensor
end function

pure module function to_exchange(self) result(exchange)
Expand Down
8 changes: 4 additions & 4 deletions src/inference_engine/inference_engine_s.F90
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Expand Up @@ -18,12 +18,12 @@

contains

module procedure input_range
my_input_range = self%input_range_
module procedure map_to_input_range
normalized_tensor = self%input_range_%map_to_training_range(tensor)
end procedure

module procedure output_range
my_output_range = self%output_range_
module procedure map_from_output_range
tensor = self%output_range_%map_from_training_range(normalized_tensor)
end procedure

module procedure to_exchange
Expand Down
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