Model: "encoder_r1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 2048, 3)] 0 __________________________________________________________________________________________________ tf.split (TFOpLambda) [(None, 2048, 1), (N 0 input_1[0][0] __________________________________________________________________________________________________ shared_det_0_conv_0 (Conv1D) (None, 1024, 96) 6240 tf.split[0][0] __________________________________________________________________________________________________ shared_det_0_conv_0_batchnorm ( (None, 1024, 96) 384 shared_det_0_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_det_0_conv_0_batchnorm[0][ shared_det_0_conv_1_batchnorm[0][ shared_det_0_conv_2_batchnorm[0][ shared_det_0_conv_3_batchnorm[0][ shared_det_0_conv_4_batchnorm[0][ shared_det_1_conv_0_batchnorm[0][ shared_det_1_conv_1_batchnorm[0][ shared_det_1_conv_2_batchnorm[0][ shared_det_1_conv_3_batchnorm[0][ shared_det_1_conv_4_batchnorm[0][ shared_det_2_conv_0_batchnorm[0][ shared_det_2_conv_1_batchnorm[0][ shared_det_2_conv_2_batchnorm[0][ shared_det_2_conv_3_batchnorm[0][ shared_det_2_conv_4_batchnorm[0][ __________________________________________________________________________________________________ shared_det_0_conv_1 (Conv1D) (None, 512, 72) 221256 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_det_0_conv_1_batchnorm ( (None, 512, 72) 288 shared_det_0_conv_1[0][0] __________________________________________________________________________________________________ shared_det_0_conv_2 (Conv1D) (None, 256, 64) 73792 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_det_0_conv_2_batchnorm ( (None, 256, 64) 256 shared_det_0_conv_2[0][0] __________________________________________________________________________________________________ shared_det_0_conv_3 (Conv1D) (None, 128, 48) 24624 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_det_0_conv_3_batchnorm ( (None, 128, 48) 192 shared_det_0_conv_3[0][0] __________________________________________________________________________________________________ shared_det_0_conv_4 (Conv1D) (None, 64, 32) 6176 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_det_1_conv_0 (Conv1D) (None, 1024, 96) 6240 tf.split[0][1] __________________________________________________________________________________________________ shared_det_0_conv_4_batchnorm ( (None, 64, 32) 128 shared_det_0_conv_4[0][0] __________________________________________________________________________________________________ shared_det_1_conv_0_batchnorm ( (None, 1024, 96) 384 shared_det_1_conv_0[0][0] __________________________________________________________________________________________________ shared_det_1_conv_1 (Conv1D) (None, 512, 72) 221256 leaky_re_lu[5][0] __________________________________________________________________________________________________ shared_det_1_conv_1_batchnorm ( (None, 512, 72) 288 shared_det_1_conv_1[0][0] __________________________________________________________________________________________________ shared_det_1_conv_2 (Conv1D) (None, 256, 64) 73792 leaky_re_lu[6][0] __________________________________________________________________________________________________ shared_det_1_conv_2_batchnorm ( (None, 256, 64) 256 shared_det_1_conv_2[0][0] __________________________________________________________________________________________________ shared_det_1_conv_3 (Conv1D) (None, 128, 48) 24624 leaky_re_lu[7][0] __________________________________________________________________________________________________ shared_det_1_conv_3_batchnorm ( (None, 128, 48) 192 shared_det_1_conv_3[0][0] __________________________________________________________________________________________________ shared_det_1_conv_4 (Conv1D) (None, 64, 32) 6176 leaky_re_lu[8][0] __________________________________________________________________________________________________ shared_det_2_conv_0 (Conv1D) (None, 1024, 96) 6240 tf.split[0][2] __________________________________________________________________________________________________ shared_det_1_conv_4_batchnorm ( (None, 64, 32) 128 shared_det_1_conv_4[0][0] __________________________________________________________________________________________________ shared_det_2_conv_0_batchnorm ( (None, 1024, 96) 384 shared_det_2_conv_0[0][0] __________________________________________________________________________________________________ shared_det_2_conv_1 (Conv1D) (None, 512, 72) 221256 leaky_re_lu[10][0] __________________________________________________________________________________________________ shared_det_2_conv_1_batchnorm ( (None, 512, 72) 288 shared_det_2_conv_1[0][0] __________________________________________________________________________________________________ shared_det_2_conv_2 (Conv1D) (None, 256, 64) 73792 leaky_re_lu[11][0] __________________________________________________________________________________________________ shared_det_2_conv_2_batchnorm ( (None, 256, 64) 256 shared_det_2_conv_2[0][0] __________________________________________________________________________________________________ shared_det_2_conv_3 (Conv1D) (None, 128, 48) 24624 leaky_re_lu[12][0] __________________________________________________________________________________________________ shared_det_2_conv_3_batchnorm ( (None, 128, 48) 192 shared_det_2_conv_3[0][0] __________________________________________________________________________________________________ shared_det_2_conv_4 (Conv1D) (None, 64, 32) 6176 leaky_re_lu[13][0] __________________________________________________________________________________________________ shared_det_2_conv_4_batchnorm ( (None, 64, 32) 128 shared_det_2_conv_4[0][0] __________________________________________________________________________________________________ tf.expand_dims (TFOpLambda) (None, 64, 32, 1) 0 leaky_re_lu[4][0] __________________________________________________________________________________________________ tf.expand_dims_1 (TFOpLambda) (None, 64, 32, 1) 0 leaky_re_lu[9][0] __________________________________________________________________________________________________ tf.expand_dims_2 (TFOpLambda) (None, 64, 32, 1) 0 leaky_re_lu[14][0] __________________________________________________________________________________________________ concatenate (Concatenate) (None, 64, 32, 3) 0 tf.expand_dims[0][0] tf.expand_dims_1[0][0] tf.expand_dims_2[0][0] __________________________________________________________________________________________________ flatten (Flatten) (None, 6144) 0 concatenate[0][0] __________________________________________________________________________________________________ r1_dense_0 (Dense) (None, 4096) 25169920 flatten[0][0] __________________________________________________________________________________________________ r1_dense_0_batchnorm (BatchNorm (None, 4096) 16384 r1_dense_0[0][0] __________________________________________________________________________________________________ flatten_1 (Flatten) (None, 4096) 0 r1_dense_0_batchnorm[0][0] __________________________________________________________________________________________________ r1_dense_1 (Dense) (None, 2048) 8390656 flatten_1[0][0] __________________________________________________________________________________________________ r1_dense_1_batchnorm (BatchNorm (None, 2048) 8192 r1_dense_1[0][0] __________________________________________________________________________________________________ flatten_2 (Flatten) (None, 2048) 0 r1_dense_1_batchnorm[0][0] __________________________________________________________________________________________________ r1_dense_2 (Dense) (None, 2048) 4196352 flatten_2[0][0] __________________________________________________________________________________________________ r1_dense_2_batchnorm (BatchNorm (None, 2048) 8192 r1_dense_2[0][0] __________________________________________________________________________________________________ r1_mean_dense (Dense) (None, 256) 524544 r1_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ r1_logvar_dense (Dense) (None, 256) 524544 r1_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ r1_modes_dense (Dense) (None, 16) 32784 r1_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ concatenate_1 (Concatenate) (None, 528) 0 r1_mean_dense[0][0] r1_logvar_dense[0][0] r1_modes_dense[0][0] ================================================================================================== Total params: 39,871,576 Trainable params: 39,853,320 Non-trainable params: 18,256 __________________________________________________________________________________________________ Model: "encoder_q" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 2048, 3)] 0 __________________________________________________________________________________________________ tf.split (TFOpLambda) [(None, 2048, 1), (N 0 input_1[0][0] __________________________________________________________________________________________________ shared_det_0_conv_0 (Conv1D) (None, 1024, 96) 6240 tf.split[0][0] __________________________________________________________________________________________________ shared_det_0_conv_0_batchnorm ( (None, 1024, 96) 384 shared_det_0_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_det_0_conv_0_batchnorm[0][ shared_det_0_conv_1_batchnorm[0][ shared_det_0_conv_2_batchnorm[0][ shared_det_0_conv_3_batchnorm[0][ shared_det_0_conv_4_batchnorm[0][ shared_det_1_conv_0_batchnorm[0][ shared_det_1_conv_1_batchnorm[0][ shared_det_1_conv_2_batchnorm[0][ shared_det_1_conv_3_batchnorm[0][ shared_det_1_conv_4_batchnorm[0][ shared_det_2_conv_0_batchnorm[0][ shared_det_2_conv_1_batchnorm[0][ shared_det_2_conv_2_batchnorm[0][ shared_det_2_conv_3_batchnorm[0][ shared_det_2_conv_4_batchnorm[0][ __________________________________________________________________________________________________ shared_det_0_conv_1 (Conv1D) (None, 512, 72) 221256 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_det_0_conv_1_batchnorm ( (None, 512, 72) 288 shared_det_0_conv_1[0][0] __________________________________________________________________________________________________ shared_det_0_conv_2 (Conv1D) (None, 256, 64) 73792 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_det_0_conv_2_batchnorm ( (None, 256, 64) 256 shared_det_0_conv_2[0][0] __________________________________________________________________________________________________ shared_det_0_conv_3 (Conv1D) (None, 128, 48) 24624 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_det_0_conv_3_batchnorm ( (None, 128, 48) 192 shared_det_0_conv_3[0][0] __________________________________________________________________________________________________ shared_det_0_conv_4 (Conv1D) (None, 64, 32) 6176 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_det_1_conv_0 (Conv1D) (None, 1024, 96) 6240 tf.split[0][1] __________________________________________________________________________________________________ shared_det_0_conv_4_batchnorm ( (None, 64, 32) 128 shared_det_0_conv_4[0][0] __________________________________________________________________________________________________ shared_det_1_conv_0_batchnorm ( (None, 1024, 96) 384 shared_det_1_conv_0[0][0] __________________________________________________________________________________________________ shared_det_1_conv_1 (Conv1D) (None, 512, 72) 221256 leaky_re_lu[5][0] __________________________________________________________________________________________________ shared_det_1_conv_1_batchnorm ( (None, 512, 72) 288 shared_det_1_conv_1[0][0] __________________________________________________________________________________________________ shared_det_1_conv_2 (Conv1D) (None, 256, 64) 73792 leaky_re_lu[6][0] __________________________________________________________________________________________________ shared_det_1_conv_2_batchnorm ( (None, 256, 64) 256 shared_det_1_conv_2[0][0] __________________________________________________________________________________________________ shared_det_1_conv_3 (Conv1D) (None, 128, 48) 24624 leaky_re_lu[7][0] __________________________________________________________________________________________________ shared_det_1_conv_3_batchnorm ( (None, 128, 48) 192 shared_det_1_conv_3[0][0] __________________________________________________________________________________________________ shared_det_1_conv_4 (Conv1D) (None, 64, 32) 6176 leaky_re_lu[8][0] __________________________________________________________________________________________________ shared_det_2_conv_0 (Conv1D) (None, 1024, 96) 6240 tf.split[0][2] __________________________________________________________________________________________________ shared_det_1_conv_4_batchnorm ( (None, 64, 32) 128 shared_det_1_conv_4[0][0] __________________________________________________________________________________________________ shared_det_2_conv_0_batchnorm ( (None, 1024, 96) 384 shared_det_2_conv_0[0][0] __________________________________________________________________________________________________ shared_det_2_conv_1 (Conv1D) (None, 512, 72) 221256 leaky_re_lu[10][0] __________________________________________________________________________________________________ shared_det_2_conv_1_batchnorm ( (None, 512, 72) 288 shared_det_2_conv_1[0][0] __________________________________________________________________________________________________ shared_det_2_conv_2 (Conv1D) (None, 256, 64) 73792 leaky_re_lu[11][0] __________________________________________________________________________________________________ shared_det_2_conv_2_batchnorm ( (None, 256, 64) 256 shared_det_2_conv_2[0][0] __________________________________________________________________________________________________ shared_det_2_conv_3 (Conv1D) (None, 128, 48) 24624 leaky_re_lu[12][0] __________________________________________________________________________________________________ shared_det_2_conv_3_batchnorm ( (None, 128, 48) 192 shared_det_2_conv_3[0][0] __________________________________________________________________________________________________ shared_det_2_conv_4 (Conv1D) (None, 64, 32) 6176 leaky_re_lu[13][0] __________________________________________________________________________________________________ shared_det_2_conv_4_batchnorm ( (None, 64, 32) 128 shared_det_2_conv_4[0][0] __________________________________________________________________________________________________ tf.expand_dims (TFOpLambda) (None, 64, 32, 1) 0 leaky_re_lu[4][0] __________________________________________________________________________________________________ tf.expand_dims_1 (TFOpLambda) (None, 64, 32, 1) 0 leaky_re_lu[9][0] __________________________________________________________________________________________________ tf.expand_dims_2 (TFOpLambda) (None, 64, 32, 1) 0 leaky_re_lu[14][0] __________________________________________________________________________________________________ concatenate (Concatenate) (None, 64, 32, 3) 0 tf.expand_dims[0][0] tf.expand_dims_1[0][0] tf.expand_dims_2[0][0] __________________________________________________________________________________________________ input_2 (InputLayer) [(None, 15)] 0 __________________________________________________________________________________________________ flatten_4 (Flatten) (None, 6144) 0 concatenate[0][0] __________________________________________________________________________________________________ flatten_3 (Flatten) (None, 15) 0 input_2[0][0] __________________________________________________________________________________________________ concatenate_2 (Concatenate) (None, 6159) 0 flatten_4[0][0] flatten_3[0][0] __________________________________________________________________________________________________ flatten_5 (Flatten) (None, 6159) 0 concatenate_2[0][0] __________________________________________________________________________________________________ q_dense_0 (Dense) (None, 4096) 25231360 flatten_5[0][0] __________________________________________________________________________________________________ q_dense_0_batchnorm (BatchNorma (None, 4096) 16384 q_dense_0[0][0] __________________________________________________________________________________________________ flatten_6 (Flatten) (None, 4096) 0 q_dense_0_batchnorm[0][0] __________________________________________________________________________________________________ q_dense_1 (Dense) (None, 2048) 8390656 flatten_6[0][0] __________________________________________________________________________________________________ q_dense_1_batchnorm (BatchNorma (None, 2048) 8192 q_dense_1[0][0] __________________________________________________________________________________________________ flatten_7 (Flatten) (None, 2048) 0 q_dense_1_batchnorm[0][0] __________________________________________________________________________________________________ q_dense_2 (Dense) (None, 2048) 4196352 flatten_7[0][0] __________________________________________________________________________________________________ q_dense_2_batchnorm (BatchNorma (None, 2048) 8192 q_dense_2[0][0] __________________________________________________________________________________________________ q_mean_dense (Dense) (None, 16) 32784 q_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ q_logvar_dense (Dense) (None, 16) 32784 q_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ concatenate_3 (Concatenate) (None, 32) 0 q_mean_dense[0][0] q_logvar_dense[0][0] ================================================================================================== Total params: 38,916,712 Trainable params: 38,898,456 Non-trainable params: 18,256 __________________________________________________________________________________________________ Model: "decoder_r2" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 2048, 3)] 0 __________________________________________________________________________________________________ tf.split (TFOpLambda) [(None, 2048, 1), (N 0 input_1[0][0] __________________________________________________________________________________________________ shared_det_0_conv_0 (Conv1D) (None, 1024, 96) 6240 tf.split[0][0] __________________________________________________________________________________________________ shared_det_0_conv_0_batchnorm ( (None, 1024, 96) 384 shared_det_0_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_det_0_conv_0_batchnorm[0][ shared_det_0_conv_1_batchnorm[0][ shared_det_0_conv_2_batchnorm[0][ shared_det_0_conv_3_batchnorm[0][ shared_det_0_conv_4_batchnorm[0][ shared_det_1_conv_0_batchnorm[0][ shared_det_1_conv_1_batchnorm[0][ shared_det_1_conv_2_batchnorm[0][ shared_det_1_conv_3_batchnorm[0][ shared_det_1_conv_4_batchnorm[0][ shared_det_2_conv_0_batchnorm[0][ shared_det_2_conv_1_batchnorm[0][ shared_det_2_conv_2_batchnorm[0][ shared_det_2_conv_3_batchnorm[0][ shared_det_2_conv_4_batchnorm[0][ __________________________________________________________________________________________________ shared_det_0_conv_1 (Conv1D) (None, 512, 72) 221256 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_det_0_conv_1_batchnorm ( (None, 512, 72) 288 shared_det_0_conv_1[0][0] __________________________________________________________________________________________________ shared_det_0_conv_2 (Conv1D) (None, 256, 64) 73792 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_det_0_conv_2_batchnorm ( (None, 256, 64) 256 shared_det_0_conv_2[0][0] __________________________________________________________________________________________________ shared_det_0_conv_3 (Conv1D) (None, 128, 48) 24624 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_det_0_conv_3_batchnorm ( (None, 128, 48) 192 shared_det_0_conv_3[0][0] __________________________________________________________________________________________________ shared_det_0_conv_4 (Conv1D) (None, 64, 32) 6176 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_det_1_conv_0 (Conv1D) (None, 1024, 96) 6240 tf.split[0][1] __________________________________________________________________________________________________ shared_det_0_conv_4_batchnorm ( (None, 64, 32) 128 shared_det_0_conv_4[0][0] __________________________________________________________________________________________________ shared_det_1_conv_0_batchnorm ( (None, 1024, 96) 384 shared_det_1_conv_0[0][0] __________________________________________________________________________________________________ shared_det_1_conv_1 (Conv1D) (None, 512, 72) 221256 leaky_re_lu[5][0] __________________________________________________________________________________________________ shared_det_1_conv_1_batchnorm ( (None, 512, 72) 288 shared_det_1_conv_1[0][0] __________________________________________________________________________________________________ shared_det_1_conv_2 (Conv1D) (None, 256, 64) 73792 leaky_re_lu[6][0] __________________________________________________________________________________________________ shared_det_1_conv_2_batchnorm ( (None, 256, 64) 256 shared_det_1_conv_2[0][0] __________________________________________________________________________________________________ shared_det_1_conv_3 (Conv1D) (None, 128, 48) 24624 leaky_re_lu[7][0] __________________________________________________________________________________________________ shared_det_1_conv_3_batchnorm ( (None, 128, 48) 192 shared_det_1_conv_3[0][0] __________________________________________________________________________________________________ shared_det_1_conv_4 (Conv1D) (None, 64, 32) 6176 leaky_re_lu[8][0] __________________________________________________________________________________________________ shared_det_2_conv_0 (Conv1D) (None, 1024, 96) 6240 tf.split[0][2] __________________________________________________________________________________________________ shared_det_1_conv_4_batchnorm ( (None, 64, 32) 128 shared_det_1_conv_4[0][0] __________________________________________________________________________________________________ shared_det_2_conv_0_batchnorm ( (None, 1024, 96) 384 shared_det_2_conv_0[0][0] __________________________________________________________________________________________________ shared_det_2_conv_1 (Conv1D) (None, 512, 72) 221256 leaky_re_lu[10][0] __________________________________________________________________________________________________ shared_det_2_conv_1_batchnorm ( (None, 512, 72) 288 shared_det_2_conv_1[0][0] __________________________________________________________________________________________________ shared_det_2_conv_2 (Conv1D) (None, 256, 64) 73792 leaky_re_lu[11][0] __________________________________________________________________________________________________ shared_det_2_conv_2_batchnorm ( (None, 256, 64) 256 shared_det_2_conv_2[0][0] __________________________________________________________________________________________________ shared_det_2_conv_3 (Conv1D) (None, 128, 48) 24624 leaky_re_lu[12][0] __________________________________________________________________________________________________ shared_det_2_conv_3_batchnorm ( (None, 128, 48) 192 shared_det_2_conv_3[0][0] __________________________________________________________________________________________________ shared_det_2_conv_4 (Conv1D) (None, 64, 32) 6176 leaky_re_lu[13][0] __________________________________________________________________________________________________ shared_det_2_conv_4_batchnorm ( (None, 64, 32) 128 shared_det_2_conv_4[0][0] __________________________________________________________________________________________________ tf.expand_dims (TFOpLambda) (None, 64, 32, 1) 0 leaky_re_lu[4][0] __________________________________________________________________________________________________ tf.expand_dims_1 (TFOpLambda) (None, 64, 32, 1) 0 leaky_re_lu[9][0] __________________________________________________________________________________________________ tf.expand_dims_2 (TFOpLambda) (None, 64, 32, 1) 0 leaky_re_lu[14][0] __________________________________________________________________________________________________ concatenate (Concatenate) (None, 64, 32, 3) 0 tf.expand_dims[0][0] tf.expand_dims_1[0][0] tf.expand_dims_2[0][0] __________________________________________________________________________________________________ flatten_4 (Flatten) (None, 6144) 0 concatenate[0][0] __________________________________________________________________________________________________ input_3 (InputLayer) [(None, 16)] 0 __________________________________________________________________________________________________ flatten_9 (Flatten) (None, 6144) 0 flatten_4[0][0] __________________________________________________________________________________________________ flatten_8 (Flatten) (None, 16) 0 input_3[0][0] __________________________________________________________________________________________________ concatenate_4 (Concatenate) (None, 6160) 0 flatten_9[0][0] flatten_8[0][0] __________________________________________________________________________________________________ flatten_10 (Flatten) (None, 6160) 0 concatenate_4[0][0] __________________________________________________________________________________________________ r2_dense_0 (Dense) (None, 4096) 25235456 flatten_10[0][0] __________________________________________________________________________________________________ r2_dense_0_batchnorm (BatchNorm (None, 4096) 16384 r2_dense_0[0][0] __________________________________________________________________________________________________ flatten_11 (Flatten) (None, 4096) 0 r2_dense_0_batchnorm[0][0] __________________________________________________________________________________________________ r2_dense_1 (Dense) (None, 2048) 8390656 flatten_11[0][0] __________________________________________________________________________________________________ r2_dense_1_batchnorm (BatchNorm (None, 2048) 8192 r2_dense_1[0][0] __________________________________________________________________________________________________ flatten_12 (Flatten) (None, 2048) 0 r2_dense_1_batchnorm[0][0] __________________________________________________________________________________________________ r2_dense_2 (Dense) (None, 2048) 4196352 flatten_12[0][0] __________________________________________________________________________________________________ r2_dense_2_batchnorm (BatchNorm (None, 2048) 8192 r2_dense_2[0][0] __________________________________________________________________________________________________ JointM1M2_mean (Dense) (None, 2) 4098 r2_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ JointM1M2_logvar (Dense) (None, 2) 4098 r2_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ VonMises_mean (Dense) (None, 8) 16392 r2_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ VonMises_logvar (Dense) (None, 4) 8196 r2_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ TruncatedNormal_mean (Dense) (None, 7) 14343 r2_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ TruncatedNormal_logvar (Dense) (None, 7) 14343 r2_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ JointVonMisesFisher_mean (Dense (None, 3) 6147 r2_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ JointVonMisesFisher_logvar (Den (None, 1) 2049 r2_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ concatenate_5 (Concatenate) (None, 34) 0 JointM1M2_mean[0][0] JointM1M2_logvar[0][0] VonMises_mean[0][0] VonMises_logvar[0][0] TruncatedNormal_mean[0][0] TruncatedNormal_logvar[0][0] JointVonMisesFisher_mean[0][0] JointVonMisesFisher_logvar[0][0] ================================================================================================== Total params: 38,924,906 Trainable params: 38,906,650 Non-trainable params: 18,256 __________________________________________________________________________________________________