Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12]

►Ndcnnasgn
Caggregate_ik_map_functor	Functor to cast input to kernel indexes (without any change in value)
Cas_kernel	Retag input dimension policy as kernel dimension policy
Cbatch_tag	Tag: Images within a minibatch
Cchannel_selector	Tag: Channel dimension
Cchannel_size_policy	Channel size policy
Ccombined_data	Input data, forward-propagated activations, and loss of the complete network
Ccombined_model	Model data (weights and biases) of the complete network
Ccombined_policy	Policy: The complete network
Cconv_ik_range_functor	Functor: Input index to kernel index range
Cconv_iko_map_functor	Functor: Input index to neg_delta_functor
Cconv_kernel_size_policy	Policy class: Convolution kernel dimensions
Cconv_ko_range_functor	Functor: Kernel index to output index range
Cconv_koi_map_functor	Functor: Kernel index to delta_functor
Cconv_ok_range_functor	Functor: Output index to kernel index range
Cconv_oki_map_functor	Functor: Output index to delta_functor
Cconv_weight_policy	Policy class: Model weight data types for convolutional layers
Cconv_weight_size_policy	Policy class: Model weight dimensions for convolutional layers
Cdelta_functor	Functor to add a fixed value
Ce_channel_policy	Policy: Internal activation channels
Cf_channel_policy	Policy: Internal activation channels
Cfeature_bias_policy
Cfeature_conv_layer_base	Utility base class for the fully connected layer
Cfeature_data_policy	Final layer activation data policy
Cfeature_multiplier_policy
Cfeature_shift_layer_base
Cfeature_weight_policy	Policy class: Model weight data types for fully connected layers
Cfeature_weight_size_policy	Policy class: Model weight dimensions for fully connected layers
Cfinal_maxpool_layer_base
Cfirst_data_policy
Cfirst_normalize_layer_base	Utility base class for the first normalizing layer
Cg_channel_policy	Policy: Internal activation channels
Cglobal_state	The global state, shared by all threads
Ch_channel_policy	Policy: Internal activation channels
Cheight_selector	Tag: Height dimension of an image
Cimage_data_policy	Internal layer activation data policy
Cimage_data_size_policy	Combined image and channel size policy
Cimage_maxpool_layer_base
Cimage_multiply_layer_base	Utility base class for the image multiply layer
Cimage_normalize_layer_base	Utility base class for a normalizing layer
Cimage_relu_layer_base
Cimage_shift_layer_base	Utility base class for the image shift layer
Cimage_size_policy	Image size policy
Cj_channel_policy	Policy: Internal activation channels
Ckernel_height_selector	Tag: Kernel height dimension
Ckernel_width_selector	Tag: Kernel width dimension
Cl_f_data_policy
Cl_image_policy	Policy: Image after the third strided convolution layer (12)
Clabels_channel_policy	Policy: Final linear layer channels
Closs_data	Loss data class
Closs_data_policy	Loss data policy
Closs_layer_base
Cm_f_data_policy
Cm_g_data_policy
Cm_h_data_policy
Cm_image_policy	Policy: Image after the first MaxPool layer (24)
Cmaxpool_height_selector
Cmaxpool_height_stag
Cmaxpool_koi_map_functor
Cmaxpool_width_selector
Cmaxpool_width_stag
Cmonochrome_channel_policy	Policy: Input image channels
Cmul_delta_functor	Functor to multiply by a constant and add a fixed value
Cneg_delta_functor	Functor to subtract from a fixed value
Cno_kernel_policy
Cnonstrided_conv_layer_base	Utility base class for the convolutional layer
Crgb_channel_policy	Policy: Input image channels
Cs_g_data_policy
Cs_h_data_policy
Cs_image_policy	Policy: Image after the second MaxPool layer (42)
Cs_j_data_policy
Cstandard_kernel_policy	Policy: Convolution kernel size
Cstrided_conv_layer_base	Utility base class for the convolutional layer
Cthread_state	The thread-related state
Cwidth_selector	Tag: Width dimension of an image
Cxl_f_data_policy
Cxl_image_policy	Policy: Image after the second strided convolution layer (04)
Cxxl_e_data_policy
Cxxl_image_policy	Policy: Image after the first strided convolution layer (00)
Cxxxl_image_policy	Policy: Input image size
►Ndcnnsol
Cbatch_tag	Tag: Images within a minibatch
Cchannel_selector	Tag: Channel dimension
Ccomplete_cnn_internal< SPI, SPO, permutation_policy >	Internal activation and normalization-state data of a complete layer
Ccomplete_cnn_layer< SPI, SPO, KSP, permutation_policy >	A complete layer
Ccomplete_cnn_model< CSPI, CSPO, KSP, permutation_policy >	Model data of a complete layer
Cconv_weight_policy	Policy class: Model weight data types for convolutional layers
Cconv_weights< KSP, CSPI, CSPO, permutation_policy >	Convolution or Aggregate layer model
Cfeature_bias< CSP, permutation_policy >	Shift layer model
Cfeature_bias_policy
Cfeature_conv_layer< CSPI, CSPO, permutation_policy >	A fully-connected layer
Cfeature_conv_layer_base	Utility base class for the fully connected layer
Cfeature_data< CSP, permutation_policy >	Output of the final Aggregate layer
Cfeature_data_policy	Final layer activation data policy
Cfeature_multiplier< CSP, permutation_policy >	Multiplier layer model
Cfeature_multiplier_policy
Cfeature_shift_layer< CSP, permutation_policy >	Final shift layer
Cfeature_shift_layer_base
Cfeature_weight_policy	Policy class: Model weight data types for fully connected layers
Cfeature_weights< CSPI, CSPO, permutation_policy >	Fully connected layer model
Cfinal_maxpool_layer< SPI, CSPO, permutation_policy >	A MaxPool layer
Cfinal_maxpool_layer_base
Cfirst_normalize_layer< SP, permutation_policy >	The first Normalizing layer
Cfirst_normalize_layer_base	Utility base class for the first normalizing layer
Cheight_selector	Tag: Height dimension of an image
Cimage_data< SP, permutation_policy >	Forward-propagated data between layers
Cimage_data_policy	Internal layer activation data policy
Cimage_maxpool_layer< SPI, SPO, permutation_policy >	A MaxPool layer
Cimage_maxpool_layer_base
Cimage_multiply_layer< SP, permutation_policy >	Multiply layer
Cimage_multiply_layer_base	Utility base class for the image multiply layer
Cimage_normalize_layer< SP, permutation_policy >	A normalizing layer
Cimage_normalize_layer_base	Utility base class for a normalizing layer
Cimage_relu_layer< SP, permutation_policy >	A ReLU layer
Cimage_relu_layer_base
Cimage_shift_layer< SP, permutation_policy >	Shift layer
Cimage_shift_layer_base	Utility base class for the image shift layer
Ckernel_height_selector	Tag: Kernel height dimension
Ckernel_width_selector	Tag: Kernel width dimension
Closs_layer< CSP, permutation_policy >	The loss layer
Closs_layer_base
Cnonstrided_conv_layer< SPI, SPO, KSP, permutation_policy >	A convolutional layer, non-strided case
Cnonstrided_conv_layer_base	Utility base class for the convolutional layer
Cpermutation_policy	Policy class defining the layout of all major data
Cstrided_conv_layer< SPI, SPO, KSP, permutation_policy >	A convolutional layer, strided case
Cstrided_conv_layer_base	Utility base class for the convolutional layer
Ctag_list	A wrapped list of tags
Ctensor_class	A tensor - a multi-dimensional tagged generalization of vector/matrix
Cwidth_selector	Tag: Width dimension of an image
►Ntagged
Cindex_class	A list of tagged indexes (a position in an N-dimensional space)
Cindex_class< T >	A tagged index
Crange_class	A list of tagged ranges (an N-dimensional box)
Crange_class< T >	A range generating tagged index values
Ctag_list	A wrapped list of tags
Ctensor_class	A tensor - a multi-dimensional tagged generalization of vector/matrix
Ctensor_view	A reference to a sub-space of a tensor