| Cdcnnasgn::aggregate_ik_map_functor< TI, TK > | Functor to cast input to kernel indexes (without any change in value) |
| Cdcnnasgn::as_kernel< CSP > | Retag input dimension policy as kernel dimension policy |
| Cdcnnasgn::channel_size_policy< C > | Channel size policy |
| ►Cdcnnasgn::channel_size_policy< 1 > | |
| Cdcnnasgn::monochrome_channel_policy | Policy: Input image channels |
| ►Cdcnnasgn::channel_size_policy< 1024 > | |
| ►Cdcnnasgn::j_channel_policy | Policy: Internal activation channels |
| ►Cdcnnasgn::image_data_size_policy< s_image_policy, j_channel_policy > | |
| Cdcnnasgn::s_j_data_policy | |
| ►Cdcnnasgn::channel_size_policy< 128 > | |
| ►Cdcnnasgn::g_channel_policy | Policy: Internal activation channels |
| ►Cdcnnasgn::image_data_size_policy< m_image_policy, g_channel_policy > | |
| Cdcnnasgn::m_g_data_policy | |
| ►Cdcnnasgn::image_data_size_policy< s_image_policy, g_channel_policy > | |
| Cdcnnasgn::s_g_data_policy | |
| ►Cdcnnasgn::channel_size_policy< 256 > | |
| ►Cdcnnasgn::h_channel_policy | Policy: Internal activation channels |
| ►Cdcnnasgn::image_data_size_policy< m_image_policy, h_channel_policy > | |
| Cdcnnasgn::m_h_data_policy | |
| ►Cdcnnasgn::image_data_size_policy< s_image_policy, h_channel_policy > | |
| Cdcnnasgn::s_h_data_policy | |
| ►Cdcnnasgn::channel_size_policy< 3 > | |
| ►Cdcnnasgn::rgb_channel_policy | Policy: Input image channels |
| ►Cdcnnasgn::image_data_size_policy< xxxl_image_policy, rgb_channel_policy > | |
| Cdcnnasgn::first_data_policy | |
| ►Cdcnnasgn::channel_size_policy< 32 > | |
| ►Cdcnnasgn::e_channel_policy | Policy: Internal activation channels |
| ►Cdcnnasgn::image_data_size_policy< xxl_image_policy, e_channel_policy > | |
| Cdcnnasgn::xxl_e_data_policy | |
| ►Cdcnnasgn::channel_size_policy< 64 > | |
| ►Cdcnnasgn::f_channel_policy | Policy: Internal activation channels |
| ►Cdcnnasgn::image_data_size_policy< l_image_policy, f_channel_policy > | |
| Cdcnnasgn::l_f_data_policy | |
| ►Cdcnnasgn::image_data_size_policy< m_image_policy, f_channel_policy > | |
| Cdcnnasgn::m_f_data_policy | |
| ►Cdcnnasgn::image_data_size_policy< xl_image_policy, f_channel_policy > | |
| Cdcnnasgn::xl_f_data_policy | |
| ►Cdcnnasgn::channel_size_policy< LABELS > | |
| Cdcnnasgn::labels_channel_policy | Policy: Final linear layer channels |
| Cdcnnasgn::combined_data< PP > | Input data, forward-propagated activations, and loss of the complete network |
| Cdcnnasgn::combined_model< PP > | Model data (weights and biases) of the complete network |
| Cdcnnasgn::combined_policy< PP > | Policy: The complete network |
| Cdcnnsol::complete_cnn_internal< SPI, SPO, permutation_policy > | Internal activation and normalization-state data of a complete layer |
| Cdcnnsol::complete_cnn_layer< SPI, SPO, KSP, permutation_policy > | A complete layer |
| Cdcnnsol::complete_cnn_model< CSPI, CSPO, KSP, permutation_policy > | Model data of a complete layer |
| Cdcnnasgn::conv_ik_range_functor< TI, TK, DI, KD, S > | Functor: Input index to kernel index range |
| Cdcnnasgn::conv_iko_map_functor< TI, TK, TO, KD, S > | Functor: Input index to neg_delta_functor |
| Cdcnnasgn::conv_kernel_size_policy< KH, KW > | Policy class: Convolution kernel dimensions |
| ►Cdcnnasgn::conv_kernel_size_policy< 1, 1 > | |
| Cdcnnasgn::no_kernel_policy | |
| ►Cdcnnasgn::conv_kernel_size_policy< 3, 3 > | |
| Cdcnnasgn::standard_kernel_policy | Policy: Convolution kernel size |
| Cdcnnasgn::conv_ko_range_functor< TK, TO, DI, KD, S > | Functor: Kernel index to output index range |
| Cdcnnasgn::conv_koi_map_functor< TK, TO, TI, KD, S > | Functor: Kernel index to delta_functor |
| Cdcnnasgn::conv_ok_range_functor< TK, TO, DI, KD, S > | Functor: Output index to kernel index range |
| Cdcnnasgn::conv_oki_map_functor< TI, TK, TO, KD, S > | Functor: Output index to delta_functor |
| Cdcnnsol::conv_weights< KSP, CSPI, CSPO, permutation_policy > | Convolution or Aggregate layer model |
| ►CCSP | |
| Cdcnnasgn::feature_shift_layer_base< CSP, permutation_policy > | |
| Cdcnnasgn::feature_bias_policy< CSP, PP > | |
| Cdcnnasgn::feature_data_policy< CSP, PP > | Final layer activation data policy |
| Cdcnnasgn::feature_multiplier_policy< CSP, PP > | |
| ►Cdcnnasgn::feature_shift_layer_base< CSP, PP > | |
| Cdcnnsol::feature_shift_layer< CSP, permutation_policy > | Final shift layer |
| Cdcnnasgn::image_data_size_policy< ISP, CSP > | Combined image and channel size policy |
| Cdcnnasgn::delta_functor< T1, T2 > | Functor to add a fixed value |
| Cdcnnsol::feature_bias< CSP, permutation_policy > | Shift layer model |
| ►Cdcnnasgn::feature_conv_layer_base< CSPI, CSPO, PP > | Utility base class for the fully connected layer |
| Cdcnnsol::feature_conv_layer< CSPI, CSPO, permutation_policy > | A fully-connected layer |
| ►Cdcnnsol::feature_conv_layer_base< CSPI, CSPO, PP > | Utility base class for the fully connected layer |
| Cdcnnsol::feature_conv_layer< CSPI, CSPO, permutation_policy > | A fully-connected layer |
| Cdcnnsol::feature_data< CSP, permutation_policy > | Output of the final Aggregate layer |
| Cdcnnsol::feature_multiplier< CSP, permutation_policy > | Multiplier layer model |
| ►Cdcnnasgn::feature_weight_size_policy< CSPI, CSPO > | Policy class: Model weight dimensions for fully connected layers |
| Cdcnnasgn::feature_weight_policy< CSPI, CSPO, PP > | Policy class: Model weight data types for fully connected layers |
| Cdcnnsol::feature_weights< CSPI, CSPO, permutation_policy > | Fully connected layer model |
| ►Cdcnnasgn::final_maxpool_layer_base< SPI, CSPO, PP > | |
| Cdcnnsol::final_maxpool_layer< SPI, CSPO, permutation_policy > | A MaxPool layer |
| ►Cdcnnsol::final_maxpool_layer_base< SPI, CSPO, PP > | |
| Cdcnnsol::final_maxpool_layer< SPI, CSPO, permutation_policy > | A MaxPool layer |
| ►Cdcnnasgn::first_normalize_layer_base< SP, PP > | Utility base class for the first normalizing layer |
| Cdcnnsol::first_normalize_layer< SP, permutation_policy > | The first Normalizing layer |
| ►Cdcnnsol::first_normalize_layer_base< SP, PP > | Utility base class for the first normalizing layer |
| Cdcnnsol::first_normalize_layer< SP, permutation_policy > | The first Normalizing layer |
| Cdcnnasgn::global_state< PP > | The global state, shared by all threads |
| Cdcnnsol::image_data< SP, permutation_policy > | Forward-propagated data between layers |
| ►Cdcnnasgn::image_maxpool_layer_base< SPI, SPO, PP > | |
| Cdcnnsol::image_maxpool_layer< SPI, SPO, permutation_policy > | A MaxPool layer |
| ►Cdcnnsol::image_maxpool_layer_base< SPI, SPO, PP > | |
| Cdcnnsol::image_maxpool_layer< SPI, SPO, permutation_policy > | A MaxPool layer |
| ►Cdcnnasgn::image_multiply_layer_base< SP, PP > | Utility base class for the image multiply layer |
| Cdcnnsol::image_multiply_layer< SP, permutation_policy > | Multiply layer |
| ►Cdcnnsol::image_multiply_layer_base< SP, PP > | Utility base class for the image multiply layer |
| Cdcnnsol::image_multiply_layer< SP, permutation_policy > | Multiply layer |
| ►Cdcnnasgn::image_normalize_layer_base< SP, PP > | Utility base class for a normalizing layer |
| Cdcnnsol::image_normalize_layer< SP, permutation_policy > | A normalizing layer |
| ►Cdcnnsol::image_normalize_layer_base< SP, PP > | Utility base class for a normalizing layer |
| Cdcnnsol::image_normalize_layer< SP, permutation_policy > | A normalizing layer |
| ►Cdcnnasgn::image_relu_layer_base< SP, PP > | |
| Cdcnnsol::image_relu_layer< SP, permutation_policy > | A ReLU layer |
| ►Cdcnnsol::image_relu_layer_base< SP, PP > | |
| Cdcnnsol::image_relu_layer< SP, permutation_policy > | A ReLU layer |
| ►Cdcnnasgn::image_shift_layer_base< SP, PP > | Utility base class for the image shift layer |
| Cdcnnsol::image_shift_layer< SP, permutation_policy > | Shift layer |
| ►Cdcnnsol::image_shift_layer_base< SP, PP > | Utility base class for the image shift layer |
| Cdcnnsol::image_shift_layer< SP, permutation_policy > | Shift layer |
| Cdcnnasgn::image_size_policy< H, W > | Image size policy |
| ►Cdcnnasgn::image_size_policy< 112, 112 > | |
| ►Cdcnnasgn::xxl_image_policy | Policy: Image after the first strided convolution layer (00) |
| Cdcnnasgn::image_data_size_policy< xxl_image_policy, e_channel_policy > | |
| ►Cdcnnasgn::image_size_policy< 14, 14 > | |
| ►Cdcnnasgn::m_image_policy | Policy: Image after the first MaxPool layer (24) |
| Cdcnnasgn::image_data_size_policy< m_image_policy, f_channel_policy > | |
| Cdcnnasgn::image_data_size_policy< m_image_policy, g_channel_policy > | |
| Cdcnnasgn::image_data_size_policy< m_image_policy, h_channel_policy > | |
| ►Cdcnnasgn::image_size_policy< 224, 224 > | |
| ►Cdcnnasgn::xxxl_image_policy | Policy: Input image size |
| Cdcnnasgn::image_data_size_policy< xxxl_image_policy, rgb_channel_policy > | |
| ►Cdcnnasgn::image_size_policy< 28, 28 > | |
| ►Cdcnnasgn::l_image_policy | Policy: Image after the third strided convolution layer (12) |
| Cdcnnasgn::image_data_size_policy< l_image_policy, f_channel_policy > | |
| ►Cdcnnasgn::image_size_policy< 56, 56 > | |
| ►Cdcnnasgn::xl_image_policy | Policy: Image after the second strided convolution layer (04) |
| Cdcnnasgn::image_data_size_policy< xl_image_policy, f_channel_policy > | |
| ►Cdcnnasgn::image_size_policy< 7, 7 > | |
| ►Cdcnnasgn::s_image_policy | Policy: Image after the second MaxPool layer (42) |
| Cdcnnasgn::image_data_size_policy< s_image_policy, g_channel_policy > | |
| Cdcnnasgn::image_data_size_policy< s_image_policy, h_channel_policy > | |
| Cdcnnasgn::image_data_size_policy< s_image_policy, j_channel_policy > | |
| ►Cimpl::index_base | |
| Ctagged::index_class< T > | A tagged index |
| Ctagged::index_class< TL > | A list of tagged indexes (a position in an N-dimensional space) |
| Ctagged::index_class< T > | A tagged index |
| ►CISP | |
| Cdcnnasgn::image_data_size_policy< ISP, CSP > | Combined image and channel size policy |
| ►CKSP | |
| ►Cdcnnasgn::conv_weight_size_policy< KSP, CSPI, CSPO > | Policy class: Model weight dimensions for convolutional layers |
| Cdcnnasgn::conv_weight_policy< KSP, CSPI, CSPO, PP > | Policy class: Model weight data types for convolutional layers |
| Cdcnnasgn::loss_data | Loss data class |
| Cdcnnasgn::loss_data_policy | Loss data policy |
| ►Cdcnnasgn::loss_layer_base< CSP, PP > | |
| Cdcnnsol::loss_layer< CSP, permutation_policy > | The loss layer |
| ►Cdcnnsol::loss_layer_base< CSP, PP > | |
| Cdcnnsol::loss_layer< CSP, permutation_policy > | The loss layer |
| Cdcnnasgn::maxpool_koi_map_functor< TK, TO, TI, KD > | |
| Cdcnnasgn::mul_delta_functor< T1, T2, MUL > | Functor to multiply by a constant and add a fixed value |
| Cdcnnasgn::neg_delta_functor< T1, T2 > | Functor to subtract from a fixed value |
| ►Cdcnnasgn::nonstrided_conv_layer_base< SPI, SPO, KSP, PP > | Utility base class for the convolutional layer |
| Cdcnnsol::nonstrided_conv_layer< SPI, SPO, KSP, permutation_policy > | A convolutional layer, non-strided case |
| ►Cdcnnsol::nonstrided_conv_layer_base< SPI, SPO, KSP, PP > | Utility base class for the convolutional layer |
| Cdcnnsol::nonstrided_conv_layer< SPI, SPO, KSP, permutation_policy > | A convolutional layer, non-strided case |
| ►Cpermutation_policy_tag | |
| Cdcnnsol::permutation_policy | Policy class defining the layout of all major data |
| ►Cimpl::range_base | |
| Ctagged::range_class< typename impl::range_demixer_traits< TL >::type ... > | |
| Ctagged::range_class< batch_tag > | |
| Ctagged::range_class< channel_tag > | |
| Ctagged::range_class< height_tag > | |
| Ctagged::range_class< width_tag > | |
| Ctagged::range_class< kernel_height_tag > | |
| Ctagged::range_class< kernel_width_tag > | |
| Ctagged::range_class< dcnnasgn::maxpool_height_stag > | |
| Ctagged::range_class< dcnnasgn::maxpool_width_stag > | |
| Ctagged::range_class< T > | A range generating tagged index values |
| Ctagged::range_class< TL ... > | |
| Ctagged::range_class< TL > | A list of tagged ranges (an N-dimensional box) |
| Ctagged::range_class< T > | A range generating tagged index values |
| ►CSP | |
| Cdcnnasgn::image_data_policy< SP, PP > | Internal layer activation data policy |
| ►Ctagged::sr_tag | |
| Cdcnnasgn::maxpool_height_stag< KH > | |
| Cdcnnasgn::maxpool_width_stag< KW > | |
| ►Cdcnnasgn::strided_conv_layer_base< SPI, SPO, KSP, PP > | Utility base class for the convolutional layer |
| Cdcnnsol::strided_conv_layer< SPI, SPO, KSP, permutation_policy > | A convolutional layer, strided case |
| ►Cdcnnsol::strided_conv_layer_base< SPI, SPO, KSP, PP > | Utility base class for the convolutional layer |
| Cdcnnsol::strided_conv_layer< SPI, SPO, KSP, permutation_policy > | A convolutional layer, strided case |
| ►Ctagged::tag_base | |
| Cdcnnasgn::batch_tag | Tag: Images within a minibatch |
| Cdcnnasgn::channel_selector | Tag: Channel dimension |
| Cdcnnasgn::height_selector | Tag: Height dimension of an image |
| Cdcnnasgn::kernel_height_selector | Tag: Kernel height dimension |
| Cdcnnasgn::kernel_width_selector | Tag: Kernel width dimension |
| Cdcnnasgn::maxpool_height_selector | |
| Cdcnnasgn::maxpool_width_selector | |
| Cdcnnasgn::width_selector | Tag: Width dimension of an image |
| Cdcnnsol::tag_list< TL > | A wrapped list of tags |
| Ctagged::tag_list< TL > | A wrapped list of tags |
| Cdcnnsol::tensor_class< E, TL > | A tensor - a multi-dimensional tagged generalization of vector/matrix |
| Ctagged::tensor_class< E, TL > | A tensor - a multi-dimensional tagged generalization of vector/matrix |
| Ctagged::tensor_view< E, TL > | A reference to a sub-space of a tensor |
| Cdcnnasgn::thread_state< PP > | The thread-related state |
1.13.2