| active() const | opennn::BatchNormOp | inline |
| apply_delta(const TensorView &input, const TensorView &mean, const TensorView &inverse_variance, TensorView &delta) const | opennn::BatchNormOp | |
| back_propagate(ForwardPropagation &fp, BackPropagation &bp, size_t layer) const noexcept override | opennn::BatchNormOp | virtual |
| beta | opennn::BatchNormOp | |
| beta_gradient | opennn::BatchNormOp | |
| destroy_cuda() | opennn::Operator | inlinevirtual |
| features | opennn::BatchNormOp | |
| forward_propagate(ForwardPropagation &fp, size_t layer, bool is_training) noexcept override | opennn::BatchNormOp | virtual |
| from_JSON(const Json *parent) override | opennn::BatchNormOp | virtual |
| gamma | opennn::BatchNormOp | |
| gamma_gradient | opennn::BatchNormOp | |
| get_input(ForwardPropagation &fp, size_t layer, size_t i=0) const noexcept | opennn::Operator | inline |
| get_input_delta(BackPropagation &bp, size_t layer, size_t i=0) const noexcept | opennn::Operator | inline |
| get_inputs(ForwardPropagation &fp, size_t layer, size_t i=0) const noexcept | opennn::Operator | inline |
| get_output(ForwardPropagation &fp, size_t layer, size_t i=0) const noexcept | opennn::Operator | inline |
| get_output_delta(BackPropagation &bp, size_t layer, size_t i=0) const noexcept | opennn::Operator | inline |
| init_defaults() | opennn::BatchNormOp | |
| input_delta_slots | opennn::Operator | |
| input_slots | opennn::Operator | |
| invalidate_inference_cache() | opennn::BatchNormOp | inline |
| link_gradients(span< const TensorView > views) override | opennn::BatchNormOp | virtual |
| link_parameters(span< const TensorView > views) override | opennn::BatchNormOp | virtual |
| link_states(span< const TensorView > views) override | opennn::BatchNormOp | virtual |
| load_state_from_JSON(const Json *parent) override | opennn::BatchNormOp | virtual |
| momentum | opennn::BatchNormOp | |
| output_delta_slots | opennn::Operator | |
| output_slots | opennn::Operator | |
| parameter_specs() const override | opennn::BatchNormOp | virtual |
| running_mean | opennn::BatchNormOp | |
| running_variance | opennn::BatchNormOp | |
| set(Index new_features, float new_momentum=0.1f) | opennn::BatchNormOp | |
| set_parameters_glorot() override | opennn::BatchNormOp | inlinevirtual |
| set_parameters_random() override | opennn::BatchNormOp | inlinevirtual |
| state_specs() const override | opennn::BatchNormOp | virtual |
| to_JSON(JsonWriter &w) const override | opennn::BatchNormOp | virtual |
| update_inference_cache() | opennn::BatchNormOp | |
| ~Operator()=default | opennn::Operator | virtual |