addition_m Module

Define a function that produces the desired network output for a given network input


Uses

  • module~~addition_m~~UsesGraph module~addition_m addition_m assert_m assert_m module~addition_m->assert_m module~inference_engine_m inference_engine_m module~addition_m->module~inference_engine_m module~activation_strategy_m activation_strategy_m module~inference_engine_m->module~activation_strategy_m module~differentiable_activation_strategy_m differentiable_activation_strategy_m module~inference_engine_m->module~differentiable_activation_strategy_m module~hyperparameters_m hyperparameters_m module~inference_engine_m->module~hyperparameters_m module~inference_engine_m_ inference_engine_m_ module~inference_engine_m->module~inference_engine_m_ module~input_output_pair_m input_output_pair_m module~inference_engine_m->module~input_output_pair_m module~kind_parameters_m kind_parameters_m module~inference_engine_m->module~kind_parameters_m module~mini_batch_m mini_batch_m module~inference_engine_m->module~mini_batch_m module~network_configuration_m network_configuration_m module~inference_engine_m->module~network_configuration_m module~relu_m relu_m module~inference_engine_m->module~relu_m module~sigmoid_m sigmoid_m module~inference_engine_m->module~sigmoid_m module~step_m step_m module~inference_engine_m->module~step_m module~swish_m swish_m module~inference_engine_m->module~swish_m module~tensor_m tensor_m module~inference_engine_m->module~tensor_m module~tensor_range_m tensor_range_m module~inference_engine_m->module~tensor_range_m module~trainable_engine_m trainable_engine_m module~inference_engine_m->module~trainable_engine_m module~training_configuration_m training_configuration_m module~inference_engine_m->module~training_configuration_m module~ubounds_m ubounds_m module~inference_engine_m->module~ubounds_m module~activation_strategy_m->module~kind_parameters_m sourcery_string_m sourcery_string_m module~activation_strategy_m->sourcery_string_m module~differentiable_activation_strategy_m->module~activation_strategy_m module~hyperparameters_m->module~kind_parameters_m module~hyperparameters_m->sourcery_string_m module~inference_engine_m_->module~activation_strategy_m module~inference_engine_m_->module~differentiable_activation_strategy_m module~inference_engine_m_->module~kind_parameters_m module~inference_engine_m_->module~tensor_m module~inference_engine_m_->module~tensor_range_m sourcery_file_m sourcery_file_m module~inference_engine_m_->sourcery_file_m module~inference_engine_m_->sourcery_string_m module~input_output_pair_m->module~kind_parameters_m module~input_output_pair_m->module~tensor_m module~mini_batch_m->module~input_output_pair_m module~mini_batch_m->module~kind_parameters_m module~network_configuration_m->sourcery_string_m module~relu_m->module~differentiable_activation_strategy_m module~relu_m->module~kind_parameters_m module~relu_m->sourcery_string_m module~sigmoid_m->module~differentiable_activation_strategy_m module~sigmoid_m->module~kind_parameters_m module~sigmoid_m->sourcery_string_m module~step_m->module~activation_strategy_m module~step_m->module~kind_parameters_m module~step_m->sourcery_string_m module~swish_m->module~differentiable_activation_strategy_m module~swish_m->module~kind_parameters_m module~swish_m->sourcery_string_m module~tensor_m->module~kind_parameters_m module~tensor_range_m->module~tensor_m sourcery_m sourcery_m module~tensor_range_m->sourcery_m module~trainable_engine_m->module~differentiable_activation_strategy_m module~trainable_engine_m->module~inference_engine_m_ module~trainable_engine_m->module~kind_parameters_m module~trainable_engine_m->module~mini_batch_m module~trainable_engine_m->module~tensor_m module~trainable_engine_m->module~tensor_range_m module~trainable_engine_m->module~training_configuration_m module~trainable_engine_m->sourcery_string_m module~training_configuration_m->module~differentiable_activation_strategy_m module~training_configuration_m->module~hyperparameters_m module~training_configuration_m->module~kind_parameters_m module~training_configuration_m->module~network_configuration_m module~training_configuration_m->sourcery_file_m module~training_configuration_m->sourcery_string_m

Used by

  • module~~addition_m~~UsedByGraph module~addition_m addition_m program~learn_addition learn_addition program~learn_addition->module~addition_m

Functions

public elemental function y(x_tensor) result(a_tensor)

Arguments

Type IntentOptional Attributes Name
type(tensor_t), intent(in) :: x_tensor

Return Value type(tensor_t)