Model: "encoder_r1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ shared_conv_0 (Conv1D) (None, 4096, 64) 12544 input_1[0][0] __________________________________________________________________________________________________ shared_conv_0_batchnorm (BatchN (None, 4096, 64) 256 shared_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_conv_0_batchnorm[0][0] shared_res_1_1st_batchnorm[0][0] shared_res_1_2nd_batchnorm[0][0] add[0][0] shared_dense_3_batchnorm[0][0] r1_dense_1_batchnorm[0][0] r1_dense_2_batchnorm[0][0] r1_dense_3_batchnorm[0][0] __________________________________________________________________________________________________ shared_res_1_1st (Conv1D) (None, 4096, 64) 4160 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_res_1_1st_batchnorm (Bat (None, 4096, 64) 256 shared_res_1_1st[0][0] __________________________________________________________________________________________________ shared_res_1_2nd (Conv1D) (None, 4096, 64) 266304 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_res_1_2nd_batchnorm (Bat (None, 4096, 64) 256 shared_res_1_2nd[0][0] __________________________________________________________________________________________________ shared_res_1_3rd (Conv1D) (None, 4096, 64) 4160 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_res_1_3rd_batchnorm (Bat (None, 4096, 64) 256 shared_res_1_3rd[0][0] __________________________________________________________________________________________________ add (Add) (None, 4096, 64) 0 shared_res_1_3rd_batchnorm[0][0] leaky_re_lu[0][0] __________________________________________________________________________________________________ flatten (Flatten) (None, 262144) 0 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_dense_3 (Dense) (None, 64) 16777280 flatten[0][0] __________________________________________________________________________________________________ shared_dense_3_batchnorm (Batch (None, 64) 256 shared_dense_3[0][0] __________________________________________________________________________________________________ flatten_1 (Flatten) (None, 64) 0 leaky_re_lu[4][0] __________________________________________________________________________________________________ r1_dense_1 (Dense) (None, 4096) 266240 flatten_1[0][0] __________________________________________________________________________________________________ r1_dense_1_batchnorm (BatchNorm (None, 4096) 16384 r1_dense_1[0][0] __________________________________________________________________________________________________ r1_dense_2 (Dense) (None, 2048) 8390656 leaky_re_lu[5][0] __________________________________________________________________________________________________ r1_dense_2_batchnorm (BatchNorm (None, 2048) 8192 r1_dense_2[0][0] __________________________________________________________________________________________________ r1_dense_3 (Dense) (None, 1024) 2098176 leaky_re_lu[6][0] __________________________________________________________________________________________________ r1_dense_3_batchnorm (BatchNorm (None, 1024) 4096 r1_dense_3[0][0] __________________________________________________________________________________________________ r1_mean_dense (Dense) (None, 20) 20500 leaky_re_lu[7][0] __________________________________________________________________________________________________ r1_logvar_dense (Dense) (None, 20) 20500 leaky_re_lu[7][0] __________________________________________________________________________________________________ r1_modes_dense (Dense) (None, 10) 10250 leaky_re_lu[7][0] __________________________________________________________________________________________________ concatenate (Concatenate) (None, 50) 0 r1_mean_dense[0][0] r1_logvar_dense[0][0] r1_modes_dense[0][0] ================================================================================================== Total params: 27,900,722 Trainable params: 27,885,746 Non-trainable params: 14,976 __________________________________________________________________________________________________ Model: "encoder_q" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ shared_conv_0 (Conv1D) (None, 4096, 64) 12544 input_1[0][0] __________________________________________________________________________________________________ shared_conv_0_batchnorm (BatchN (None, 4096, 64) 256 shared_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_conv_0_batchnorm[0][0] shared_res_1_1st_batchnorm[0][0] shared_res_1_2nd_batchnorm[0][0] add[0][0] shared_dense_3_batchnorm[0][0] q_dense_1_batchnorm[0][0] q_dense_2_batchnorm[0][0] q_dense_3_batchnorm[0][0] __________________________________________________________________________________________________ shared_res_1_1st (Conv1D) (None, 4096, 64) 4160 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_res_1_1st_batchnorm (Bat (None, 4096, 64) 256 shared_res_1_1st[0][0] __________________________________________________________________________________________________ shared_res_1_2nd (Conv1D) (None, 4096, 64) 266304 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_res_1_2nd_batchnorm (Bat (None, 4096, 64) 256 shared_res_1_2nd[0][0] __________________________________________________________________________________________________ shared_res_1_3rd (Conv1D) (None, 4096, 64) 4160 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_res_1_3rd_batchnorm (Bat (None, 4096, 64) 256 shared_res_1_3rd[0][0] __________________________________________________________________________________________________ add (Add) (None, 4096, 64) 0 shared_res_1_3rd_batchnorm[0][0] leaky_re_lu[0][0] __________________________________________________________________________________________________ flatten (Flatten) (None, 262144) 0 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_dense_3 (Dense) (None, 64) 16777280 flatten[0][0] __________________________________________________________________________________________________ shared_dense_3_batchnorm (Batch (None, 64) 256 shared_dense_3[0][0] __________________________________________________________________________________________________ input_2 (InputLayer) [(None, 2)] 0 __________________________________________________________________________________________________ flatten_2 (Flatten) (None, 2) 0 input_2[0][0] __________________________________________________________________________________________________ concatenate_1 (Concatenate) (None, 66) 0 leaky_re_lu[4][0] flatten_2[0][0] __________________________________________________________________________________________________ flatten_3 (Flatten) (None, 66) 0 concatenate_1[0][0] __________________________________________________________________________________________________ q_dense_1 (Dense) (None, 4096) 274432 flatten_3[0][0] __________________________________________________________________________________________________ q_dense_1_batchnorm (BatchNorma (None, 4096) 16384 q_dense_1[0][0] __________________________________________________________________________________________________ q_dense_2 (Dense) (None, 2048) 8390656 leaky_re_lu[8][0] __________________________________________________________________________________________________ q_dense_2_batchnorm (BatchNorma (None, 2048) 8192 q_dense_2[0][0] __________________________________________________________________________________________________ q_dense_3 (Dense) (None, 1024) 2098176 leaky_re_lu[9][0] __________________________________________________________________________________________________ q_dense_3_batchnorm (BatchNorma (None, 1024) 4096 q_dense_3[0][0] __________________________________________________________________________________________________ q_mean_dense (Dense) (None, 2) 2050 leaky_re_lu[10][0] __________________________________________________________________________________________________ q_logvar_dense (Dense) (None, 2) 2050 leaky_re_lu[10][0] __________________________________________________________________________________________________ concatenate_2 (Concatenate) (None, 4) 0 q_mean_dense[0][0] q_logvar_dense[0][0] ================================================================================================== Total params: 27,861,764 Trainable params: 27,846,788 Non-trainable params: 14,976 __________________________________________________________________________________________________ Model: "decoder_r2" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ shared_conv_0 (Conv1D) (None, 4096, 64) 12544 input_1[0][0] __________________________________________________________________________________________________ shared_conv_0_batchnorm (BatchN (None, 4096, 64) 256 shared_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_conv_0_batchnorm[0][0] shared_res_1_1st_batchnorm[0][0] shared_res_1_2nd_batchnorm[0][0] add[0][0] shared_dense_3_batchnorm[0][0] r2_dense_1_batchnorm[0][0] r2_dense_2_batchnorm[0][0] r2_dense_3_batchnorm[0][0] __________________________________________________________________________________________________ shared_res_1_1st (Conv1D) (None, 4096, 64) 4160 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_res_1_1st_batchnorm (Bat (None, 4096, 64) 256 shared_res_1_1st[0][0] __________________________________________________________________________________________________ shared_res_1_2nd (Conv1D) (None, 4096, 64) 266304 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_res_1_2nd_batchnorm (Bat (None, 4096, 64) 256 shared_res_1_2nd[0][0] __________________________________________________________________________________________________ shared_res_1_3rd (Conv1D) (None, 4096, 64) 4160 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_res_1_3rd_batchnorm (Bat (None, 4096, 64) 256 shared_res_1_3rd[0][0] __________________________________________________________________________________________________ add (Add) (None, 4096, 64) 0 shared_res_1_3rd_batchnorm[0][0] leaky_re_lu[0][0] __________________________________________________________________________________________________ flatten (Flatten) (None, 262144) 0 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_dense_3 (Dense) (None, 64) 16777280 flatten[0][0] __________________________________________________________________________________________________ shared_dense_3_batchnorm (Batch (None, 64) 256 shared_dense_3[0][0] __________________________________________________________________________________________________ input_3 (InputLayer) [(None, 2)] 0 __________________________________________________________________________________________________ flatten_4 (Flatten) (None, 2) 0 input_3[0][0] __________________________________________________________________________________________________ concatenate_3 (Concatenate) (None, 66) 0 leaky_re_lu[4][0] flatten_4[0][0] __________________________________________________________________________________________________ flatten_5 (Flatten) (None, 66) 0 concatenate_3[0][0] __________________________________________________________________________________________________ r2_dense_1 (Dense) (None, 4096) 274432 flatten_5[0][0] __________________________________________________________________________________________________ r2_dense_1_batchnorm (BatchNorm (None, 4096) 16384 r2_dense_1[0][0] __________________________________________________________________________________________________ r2_dense_2 (Dense) (None, 2048) 8390656 leaky_re_lu[11][0] __________________________________________________________________________________________________ r2_dense_2_batchnorm (BatchNorm (None, 2048) 8192 r2_dense_2[0][0] __________________________________________________________________________________________________ r2_dense_3 (Dense) (None, 1024) 2098176 leaky_re_lu[12][0] __________________________________________________________________________________________________ r2_dense_3_batchnorm (BatchNorm (None, 1024) 4096 r2_dense_3[0][0] __________________________________________________________________________________________________ JointVonMisesFisher_mean (Dense (None, 3) 3075 leaky_re_lu[13][0] __________________________________________________________________________________________________ JointVonMisesFisher_logvar (Den (None, 1) 1025 leaky_re_lu[13][0] __________________________________________________________________________________________________ concatenate_4 (Concatenate) (None, 4) 0 JointVonMisesFisher_mean[0][0] JointVonMisesFisher_logvar[0][0] ================================================================================================== Total params: 27,861,764 Trainable params: 27,846,788 Non-trainable params: 14,976 __________________________________________________________________________________________________