Input data, forward-propagated activations, and loss of the complete network. More...

#include <dcnncombined.hpp>

Public Types
using	policy = combined_policy< PP>

using	data_input = batch_data< xxxl_image_policy, rgb_channel_policy>

using	internal_input_n = first_stat

using	data_input_n = dcnnsol::image_data< first_data_policy, PP>

using	internal_00 = typename policy::layer_00::internal_data

using	data_00r = dcnnsol::image_data< xxl_e_data_policy, PP>

using	internal_04 = typename policy::layer_04::internal_data

using	data_04r = dcnnsol::image_data< xl_f_data_policy, PP>

using	internal_08 = typename policy::layer_08::internal_data

using	data_08r = dcnnsol::image_data< xl_f_data_policy, PP>

using	internal_12 = typename policy::layer_12::internal_data

using	data_12r = dcnnsol::image_data< l_f_data_policy, PP>

using	internal_16 = typename policy::layer_16::internal_data

using	data_16r = dcnnsol::image_data< l_f_data_policy, PP>

using	internal_20 = typename policy::layer_20::internal_data

using	data_20r = dcnnsol::image_data< l_f_data_policy, PP>

using	data_24_p = dcnnsol::image_data< m_f_data_policy, PP>

using	internal_26 = typename policy::layer_26::internal_data

using	data_26r = typename policy::layer_26::output_data

using	internal_30 = typename policy::layer_30::internal_data

using	data_30r = typename policy::layer_30::output_data

using	internal_34 = typename policy::layer_34::internal_data

using	data_34r = typename policy::layer_34::output_data

using	internal_38 = typename policy::layer_38::internal_data

using	data_38r = dcnnsol::image_data< m_h_data_policy, PP>

using	data_42_p = dcnnsol::image_data< s_h_data_policy, PP>

using	internal_44 = typename policy::layer_44::internal_data

using	data_44r = dcnnsol::image_data< s_j_data_policy, PP>

using	internal_48 = typename policy::layer_48::internal_data

using	data_48r = dcnnsol::image_data< s_g_data_policy, PP>

using	internal_52 = typename policy::layer_52::internal_data

using	data_52r = dcnnsol::image_data< s_g_data_policy, PP>

using	data_final_p = dcnnsol::feature_data< g_channel_policy, PP>

using	data_class_c = dcnnsol::feature_data< labels_channel_policy, PP>

using	data_class_b = dcnnsol::feature_data< labels_channel_policy, PP>

Public Member Functions
	combined_data (const batch_range &br)

Public Attributes
gold_data	g

data_input	d_input

data_input_n	d_input_n

data_00r	d_00r

data_04r	d_04r

data_08r	d_08r

data_12r	d_12r

data_16r	d_16r

data_20r	d_20r

data_24_p	d_24_p

data_26r	d_26r

data_30r	d_30r

data_34r	d_34r

data_38r	d_38r

data_42_p	d_42_p

data_44r	d_44r

data_48r	d_48r

data_52r	d_52r

data_final_p	d_final_p

data_class_c	d_class_c

data_class_b	d_class_b

internal_input_n	i_input_n

internal_00	i_00

internal_04	i_04

internal_08	i_08

internal_12	i_12

internal_16	i_16

internal_20	i_20

internal_26	i_26

internal_30	i_30

internal_34	i_34

internal_38	i_38

internal_44	i_44

internal_48	i_48

internal_52	i_52

loss_data	d_loss

Detailed Description

template<is_policy PP>
class dcnnasgn::combined_data< PP >

Input data, forward-propagated activations, and loss of the complete network.

Template Parameters

PP	Permutation policy

The documentation for this class was generated from the following file:

asgn/dcnncombined.hpp

Public Types

Public Member Functions

Public Attributes

Detailed Description