neuron_s Submodule

Uses

- assert_m
- Ancestors:
- neuron_m
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Module Procedures

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/neuron_s.html bias module function bias(self) result(my_bias)

Arguments

Type	Intent	Optional	Attributes		Name
class(neuron_t),	intent(in)			::	self

Return Value real(kind=rkind)

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/neuron_s.html construct pure recursive module function construct(neuron_lines, start) result(neuron)

Arguments

Type	Intent	Optional	Attributes		Name
type(string_t),	intent(in)			::	neuron_lines(:)
integer,	intent(in)			::	start

Return Value type(neuron_t)

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/neuron_s.html next_allocated module function next_allocated(self) result(next_is_allocated)

Arguments

Type	Intent	Optional	Attributes		Name
class(neuron_t),	intent(in)			::	self

Return Value logical

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/neuron_s.html next_pointer module function next_pointer(self) result(next_ptr)

Arguments

Type	Intent	Optional	Attributes		Name
class(neuron_t),	intent(in),		target	::	self

Return Value type(neuron_t), pointer

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/neuron_s.html num_inputs pure module function num_inputs(self) result(size_weights)

Arguments

Type	Intent	Optional	Attributes		Name
class(neuron_t),	intent(in)			::	self

Return Value integer

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/neuron_s.html weights module function weights(self) result(my_weights)

Arguments

Type	Intent	Optional	Attributes		Name
class(neuron_t),	intent(in)			::	self

Return Value real(kind=rkind), allocatable, (:)