Model: "encoder_r1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ shared_conv_0 (Conv1D) (None, 2048, 96) 18528 input_1[0][0] __________________________________________________________________________________________________ shared_conv_0_batchnorm (BatchN (None, 2048, 96) 384 shared_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_conv_0_batchnorm[0][0] shared_conv_1_batchnorm[0][0] shared_conv_2_batchnorm[0][0] shared_conv_3_batchnorm[0][0] shared_conv_4_batchnorm[0][0] shared_conv_5_batchnorm[0][0] r1_dense_1_batchnorm[0][0] __________________________________________________________________________________________________ shared_conv_1 (Conv1D) (None, 1024, 72) 221256 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_conv_1_batchnorm (BatchN (None, 1024, 72) 288 shared_conv_1[0][0] __________________________________________________________________________________________________ shared_conv_2 (Conv1D) (None, 512, 64) 73792 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_conv_2_batchnorm (BatchN (None, 512, 64) 256 shared_conv_2[0][0] __________________________________________________________________________________________________ shared_conv_3 (Conv1D) (None, 256, 48) 24624 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_conv_3_batchnorm (BatchN (None, 256, 48) 192 shared_conv_3[0][0] __________________________________________________________________________________________________ shared_conv_4 (Conv1D) (None, 128, 32) 6176 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_conv_4_batchnorm (BatchN (None, 128, 32) 128 shared_conv_4[0][0] __________________________________________________________________________________________________ shared_conv_5 (Conv1D) (None, 64, 24) 1560 leaky_re_lu[4][0] __________________________________________________________________________________________________ shared_conv_5_batchnorm (BatchN (None, 64, 24) 96 shared_conv_5[0][0] __________________________________________________________________________________________________ flatten (Flatten) (None, 1536) 0 leaky_re_lu[5][0] __________________________________________________________________________________________________ flatten_1 (Flatten) (None, 1536) 0 flatten[0][0] __________________________________________________________________________________________________ r1_dense_1 (Dense) (None, 1) 1537 flatten_1[0][0] __________________________________________________________________________________________________ r1_dense_1_batchnorm (BatchNorm (None, 1) 4 r1_dense_1[0][0] __________________________________________________________________________________________________ r1_mean_dense (Dense) (None, 3) 6 leaky_re_lu[6][0] __________________________________________________________________________________________________ r1_logvar_dense (Dense) (None, 3) 6 leaky_re_lu[6][0] __________________________________________________________________________________________________ r1_modes_dense (Dense) (None, 3) 6 leaky_re_lu[6][0] __________________________________________________________________________________________________ concatenate (Concatenate) (None, 9) 0 r1_mean_dense[0][0] r1_logvar_dense[0][0] r1_modes_dense[0][0] ================================================================================================== Total params: 348,839 Trainable params: 348,165 Non-trainable params: 674 __________________________________________________________________________________________________ Model: "encoder_q" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ shared_conv_0 (Conv1D) (None, 2048, 96) 18528 input_1[0][0] __________________________________________________________________________________________________ shared_conv_0_batchnorm (BatchN (None, 2048, 96) 384 shared_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_conv_0_batchnorm[0][0] shared_conv_1_batchnorm[0][0] shared_conv_2_batchnorm[0][0] shared_conv_3_batchnorm[0][0] shared_conv_4_batchnorm[0][0] shared_conv_5_batchnorm[0][0] q_dense_1_batchnorm[0][0] __________________________________________________________________________________________________ shared_conv_1 (Conv1D) (None, 1024, 72) 221256 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_conv_1_batchnorm (BatchN (None, 1024, 72) 288 shared_conv_1[0][0] __________________________________________________________________________________________________ shared_conv_2 (Conv1D) (None, 512, 64) 73792 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_conv_2_batchnorm (BatchN (None, 512, 64) 256 shared_conv_2[0][0] __________________________________________________________________________________________________ shared_conv_3 (Conv1D) (None, 256, 48) 24624 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_conv_3_batchnorm (BatchN (None, 256, 48) 192 shared_conv_3[0][0] __________________________________________________________________________________________________ shared_conv_4 (Conv1D) (None, 128, 32) 6176 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_conv_4_batchnorm (BatchN (None, 128, 32) 128 shared_conv_4[0][0] __________________________________________________________________________________________________ shared_conv_5 (Conv1D) (None, 64, 24) 1560 leaky_re_lu[4][0] __________________________________________________________________________________________________ shared_conv_5_batchnorm (BatchN (None, 64, 24) 96 shared_conv_5[0][0] __________________________________________________________________________________________________ input_2 (InputLayer) [(None, 15)] 0 __________________________________________________________________________________________________ flatten (Flatten) (None, 1536) 0 leaky_re_lu[5][0] __________________________________________________________________________________________________ flatten_2 (Flatten) (None, 15) 0 input_2[0][0] __________________________________________________________________________________________________ concatenate_1 (Concatenate) (None, 1551) 0 flatten[0][0] flatten_2[0][0] __________________________________________________________________________________________________ flatten_3 (Flatten) (None, 1551) 0 concatenate_1[0][0] __________________________________________________________________________________________________ q_dense_1 (Dense) (None, 1) 1552 flatten_3[0][0] __________________________________________________________________________________________________ q_dense_1_batchnorm (BatchNorma (None, 1) 4 q_dense_1[0][0] __________________________________________________________________________________________________ q_mean_dense (Dense) (None, 1) 2 leaky_re_lu[7][0] __________________________________________________________________________________________________ q_logvar_dense (Dense) (None, 1) 2 leaky_re_lu[7][0] __________________________________________________________________________________________________ concatenate_2 (Concatenate) (None, 2) 0 q_mean_dense[0][0] q_logvar_dense[0][0] ================================================================================================== Total params: 348,840 Trainable params: 348,166 Non-trainable params: 674 __________________________________________________________________________________________________ Model: "decoder_r2" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ shared_conv_0 (Conv1D) (None, 2048, 96) 18528 input_1[0][0] __________________________________________________________________________________________________ shared_conv_0_batchnorm (BatchN (None, 2048, 96) 384 shared_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_conv_0_batchnorm[0][0] shared_conv_1_batchnorm[0][0] shared_conv_2_batchnorm[0][0] shared_conv_3_batchnorm[0][0] shared_conv_4_batchnorm[0][0] shared_conv_5_batchnorm[0][0] r2_dense_1_batchnorm[0][0] r2_dense_2_batchnorm[0][0] r2_dense_3_batchnorm[0][0] __________________________________________________________________________________________________ shared_conv_1 (Conv1D) (None, 1024, 72) 221256 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_conv_1_batchnorm (BatchN (None, 1024, 72) 288 shared_conv_1[0][0] __________________________________________________________________________________________________ shared_conv_2 (Conv1D) (None, 512, 64) 73792 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_conv_2_batchnorm (BatchN (None, 512, 64) 256 shared_conv_2[0][0] __________________________________________________________________________________________________ shared_conv_3 (Conv1D) (None, 256, 48) 24624 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_conv_3_batchnorm (BatchN (None, 256, 48) 192 shared_conv_3[0][0] __________________________________________________________________________________________________ shared_conv_4 (Conv1D) (None, 128, 32) 6176 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_conv_4_batchnorm (BatchN (None, 128, 32) 128 shared_conv_4[0][0] __________________________________________________________________________________________________ shared_conv_5 (Conv1D) (None, 64, 24) 1560 leaky_re_lu[4][0] __________________________________________________________________________________________________ shared_conv_5_batchnorm (BatchN (None, 64, 24) 96 shared_conv_5[0][0] __________________________________________________________________________________________________ input_3 (InputLayer) [(None, 1)] 0 __________________________________________________________________________________________________ flatten (Flatten) (None, 1536) 0 leaky_re_lu[5][0] __________________________________________________________________________________________________ flatten_4 (Flatten) (None, 1) 0 input_3[0][0] __________________________________________________________________________________________________ concatenate_3 (Concatenate) (None, 1537) 0 flatten[0][0] flatten_4[0][0] __________________________________________________________________________________________________ flatten_5 (Flatten) (None, 1537) 0 concatenate_3[0][0] __________________________________________________________________________________________________ r2_dense_1 (Dense) (None, 4096) 6299648 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[8][0] __________________________________________________________________________________________________ r2_dense_2_batchnorm (BatchNorm (None, 2048) 8192 r2_dense_2[0][0] __________________________________________________________________________________________________ r2_dense_3 (Dense) (None, 2048) 4196352 leaky_re_lu[9][0] __________________________________________________________________________________________________ r2_dense_3_batchnorm (BatchNorm (None, 2048) 8192 r2_dense_3[0][0] __________________________________________________________________________________________________ TruncatedNormal_mean (Dense) (None, 27) 55323 leaky_re_lu[10][0] __________________________________________________________________________________________________ TruncatedNormal_logvar (Dense) (None, 27) 55323 leaky_re_lu[10][0] __________________________________________________________________________________________________ VonMises_mean (Dense) (None, 24) 49176 leaky_re_lu[10][0] __________________________________________________________________________________________________ VonMises_logvar (Dense) (None, 12) 24588 leaky_re_lu[10][0] __________________________________________________________________________________________________ JointVonMisesFisher_mean (Dense (None, 9) 18441 leaky_re_lu[10][0] __________________________________________________________________________________________________ JointVonMisesFisher_logvar (Den (None, 3) 6147 leaky_re_lu[10][0] __________________________________________________________________________________________________ r2_modes_dense (Dense) (None, 3) 6147 leaky_re_lu[10][0] __________________________________________________________________________________________________ concatenate_4 (Concatenate) (None, 105) 0 TruncatedNormal_mean[0][0] TruncatedNormal_logvar[0][0] VonMises_mean[0][0] VonMises_logvar[0][0] JointVonMisesFisher_mean[0][0] JointVonMisesFisher_logvar[0][0] r2_modes_dense[0][0] ================================================================================================== Total params: 19,481,849 Trainable params: 19,464,793 Non-trainable params: 17,056 __________________________________________________________________________________________________