| apply_gpu_folded(const TensorView &input, const TensorView &folded_weights, const TensorView &folded_bias, bool relu, TensorView &output, const TensorView *residual=nullptr) const | opennn::ConvolutionOperator | |
| back_propagate(ForwardPropagation &, BackPropagation &, size_t) const override | opennn::ConvolutionOperator | virtual |
| bias | opennn::ConvolutionOperator | |
| bias_gradient | opennn::ConvolutionOperator | |
| column_stride | opennn::ConvolutionOperator | |
| compute_dtype | opennn::Operator | |
| conv_graph_cache | opennn::ConvolutionOperator | |
| ConvolutionOperator() | opennn::ConvolutionOperator | |
| ConvolutionOperator(const ConvolutionOperator &)=delete | opennn::ConvolutionOperator | |
| forward_propagate(ForwardPropagation &, size_t, ForwardPropagationMode) override | opennn::ConvolutionOperator | virtual |
| from_JSON(const Json *) | opennn::Operator | inlinevirtual |
| fuse_relu | opennn::ConvolutionOperator | |
| get_input(ForwardPropagation &forward_propagation, size_t layer, size_t slot_index=0) const noexcept | opennn::Operator | inline |
| get_input_delta(BackPropagation &back_propagation, size_t layer, size_t slot_index=0) const noexcept | opennn::Operator | inline |
| get_inputs(ForwardPropagation &forward_propagation, size_t layer) const noexcept | opennn::Operator | inline |
| get_output(ForwardPropagation &forward_propagation, size_t layer, size_t slot_index=0) const noexcept | opennn::Operator | inline |
| get_output_delta(BackPropagation &back_propagation, size_t layer, size_t slot_index=0) const noexcept | opennn::Operator | inline |
| initialize_states() | opennn::Operator | inlinevirtual |
| input_delta_slots | opennn::Operator | |
| input_height | opennn::ConvolutionOperator | |
| input_slots | opennn::Operator | |
| input_width | opennn::ConvolutionOperator | |
| kernel_channels | opennn::ConvolutionOperator | |
| kernel_height | opennn::ConvolutionOperator | |
| kernel_width | opennn::ConvolutionOperator | |
| kernels_number | opennn::ConvolutionOperator | |
| link_gradients(span< const TensorView > views) | opennn::Operator | inlinevirtual |
| link_parameter_scales(span< const TensorView >) override | opennn::ConvolutionOperator | virtual |
| link_parameters(span< const TensorView >) override | opennn::ConvolutionOperator | virtual |
| link_slots(span< const TensorView > views, TensorView *ParameterSlot::*member) | opennn::Operator | inline |
| link_states(span< const TensorView >) | opennn::Operator | inlinevirtual |
| load_state_from_JSON(const Json *) | opennn::Operator | inlinevirtual |
| operator=(const ConvolutionOperator &)=delete | opennn::ConvolutionOperator | |
| output_delta_slots | opennn::Operator | |
| output_slots | opennn::Operator | |
| padding_height | opennn::ConvolutionOperator | |
| padding_width | opennn::ConvolutionOperator | |
| parameter_quantization() const override | opennn::ConvolutionOperator | virtual |
| parameter_slots() override | opennn::ConvolutionOperator | virtual |
| parameter_specs() const override | opennn::ConvolutionOperator | virtual |
| row_stride | opennn::ConvolutionOperator | |
| set_parameters_glorot() override | opennn::ConvolutionOperator | virtual |
| set_parameters_pytorch() | opennn::Operator | inlinevirtual |
| set_parameters_random() override | opennn::ConvolutionOperator | virtual |
| set_weights_dtype(Type new_weights_dtype) | opennn::Operator | inlinevirtual |
| state_specs() const | opennn::Operator | inlinevirtual |
| to_JSON(JsonWriter &) const | opennn::Operator | inlinevirtual |
| use_bias | opennn::ConvolutionOperator | |
| weight_gradient | opennn::ConvolutionOperator | |
| weight_scale | opennn::ConvolutionOperator | |
| weights | opennn::ConvolutionOperator | |
| weights_dtype | opennn::Operator | |
| weights_relinked | opennn::ConvolutionOperator | |
| ~ConvolutionOperator() override | opennn::ConvolutionOperator | |
| ~Operator()=default | opennn::Operator | virtual |
