Model: "encoder_r1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ shared_conv_0 (Conv1D) (None, 4096, 96) 18528 input_1[0][0] __________________________________________________________________________________________________ shared_conv_0_batchnorm (BatchN (None, 4096, 96) 384 shared_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_conv_0_batchnorm[0][0] shared_conv_2_batchnorm[0][0] shared_conv_3_batchnorm[0][0] shared_conv_5_batchnorm[0][0] shared_conv_6_batchnorm[0][0] shared_conv_8_batchnorm[0][0] r1_dense_0_batchnorm[0][0] r1_dense_1_batchnorm[0][0] r1_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ max_pooling1d (MaxPooling1D) (None, 2048, 96) 0 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_conv_2 (Conv1D) (None, 1024, 72) 221256 max_pooling1d[0][0] __________________________________________________________________________________________________ shared_conv_2_batchnorm (BatchN (None, 1024, 72) 288 shared_conv_2[0][0] __________________________________________________________________________________________________ shared_conv_3 (Conv1D) (None, 1024, 64) 73792 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_conv_3_batchnorm (BatchN (None, 1024, 64) 256 shared_conv_3[0][0] __________________________________________________________________________________________________ max_pooling1d_1 (MaxPooling1D) (None, 512, 64) 0 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_conv_5 (Conv1D) (None, 256, 48) 24624 max_pooling1d_1[0][0] __________________________________________________________________________________________________ shared_conv_5_batchnorm (BatchN (None, 256, 48) 192 shared_conv_5[0][0] __________________________________________________________________________________________________ shared_conv_6 (Conv1D) (None, 256, 32) 6176 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_conv_6_batchnorm (BatchN (None, 256, 32) 128 shared_conv_6[0][0] __________________________________________________________________________________________________ max_pooling1d_2 (MaxPooling1D) (None, 128, 32) 0 leaky_re_lu[4][0] __________________________________________________________________________________________________ shared_conv_8 (Conv1D) (None, 64, 16) 1040 max_pooling1d_2[0][0] __________________________________________________________________________________________________ shared_conv_8_batchnorm (BatchN (None, 64, 16) 64 shared_conv_8[0][0] __________________________________________________________________________________________________ flatten (Flatten) (None, 1024) 0 leaky_re_lu[5][0] __________________________________________________________________________________________________ r1_dense_0 (Dense) (None, 4096) 4198400 flatten[0][0] __________________________________________________________________________________________________ r1_dense_0_batchnorm (BatchNorm (None, 4096) 16384 r1_dense_0[0][0] __________________________________________________________________________________________________ r1_dense_1 (Dense) (None, 2048) 8390656 leaky_re_lu[6][0] __________________________________________________________________________________________________ r1_dense_1_batchnorm (BatchNorm (None, 2048) 8192 r1_dense_1[0][0] __________________________________________________________________________________________________ r1_dense_2 (Dense) (None, 2048) 4196352 leaky_re_lu[7][0] __________________________________________________________________________________________________ r1_dense_2_batchnorm (BatchNorm (None, 2048) 8192 r1_dense_2[0][0] __________________________________________________________________________________________________ r1_mean_dense (Dense) (None, 256) 524544 leaky_re_lu[8][0] __________________________________________________________________________________________________ r1_logvar_dense (Dense) (None, 256) 524544 leaky_re_lu[8][0] __________________________________________________________________________________________________ r1_modes_dense (Dense) (None, 16) 32784 leaky_re_lu[8][0] __________________________________________________________________________________________________ concatenate (Concatenate) (None, 528) 0 r1_mean_dense[0][0] r1_logvar_dense[0][0] r1_modes_dense[0][0] ================================================================================================== Total params: 18,246,776 Trainable params: 18,229,736 Non-trainable params: 17,040 __________________________________________________________________________________________________ Model: "encoder_q" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ shared_conv_0 (Conv1D) (None, 4096, 96) 18528 input_1[0][0] __________________________________________________________________________________________________ shared_conv_0_batchnorm (BatchN (None, 4096, 96) 384 shared_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_conv_0_batchnorm[0][0] shared_conv_2_batchnorm[0][0] shared_conv_3_batchnorm[0][0] shared_conv_5_batchnorm[0][0] shared_conv_6_batchnorm[0][0] shared_conv_8_batchnorm[0][0] q_dense_0_batchnorm[0][0] q_dense_1_batchnorm[0][0] q_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ max_pooling1d (MaxPooling1D) (None, 2048, 96) 0 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_conv_2 (Conv1D) (None, 1024, 72) 221256 max_pooling1d[0][0] __________________________________________________________________________________________________ shared_conv_2_batchnorm (BatchN (None, 1024, 72) 288 shared_conv_2[0][0] __________________________________________________________________________________________________ shared_conv_3 (Conv1D) (None, 1024, 64) 73792 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_conv_3_batchnorm (BatchN (None, 1024, 64) 256 shared_conv_3[0][0] __________________________________________________________________________________________________ max_pooling1d_1 (MaxPooling1D) (None, 512, 64) 0 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_conv_5 (Conv1D) (None, 256, 48) 24624 max_pooling1d_1[0][0] __________________________________________________________________________________________________ shared_conv_5_batchnorm (BatchN (None, 256, 48) 192 shared_conv_5[0][0] __________________________________________________________________________________________________ shared_conv_6 (Conv1D) (None, 256, 32) 6176 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_conv_6_batchnorm (BatchN (None, 256, 32) 128 shared_conv_6[0][0] __________________________________________________________________________________________________ max_pooling1d_2 (MaxPooling1D) (None, 128, 32) 0 leaky_re_lu[4][0] __________________________________________________________________________________________________ shared_conv_8 (Conv1D) (None, 64, 16) 1040 max_pooling1d_2[0][0] __________________________________________________________________________________________________ shared_conv_8_batchnorm (BatchN (None, 64, 16) 64 shared_conv_8[0][0] __________________________________________________________________________________________________ input_2 (InputLayer) [(None, 15)] 0 __________________________________________________________________________________________________ flatten (Flatten) (None, 1024) 0 leaky_re_lu[5][0] __________________________________________________________________________________________________ flatten_1 (Flatten) (None, 15) 0 input_2[0][0] __________________________________________________________________________________________________ concatenate_1 (Concatenate) (None, 1039) 0 flatten[0][0] flatten_1[0][0] __________________________________________________________________________________________________ q_dense_0 (Dense) (None, 4096) 4259840 concatenate_1[0][0] __________________________________________________________________________________________________ q_dense_0_batchnorm (BatchNorma (None, 4096) 16384 q_dense_0[0][0] __________________________________________________________________________________________________ q_dense_1 (Dense) (None, 2048) 8390656 leaky_re_lu[9][0] __________________________________________________________________________________________________ q_dense_1_batchnorm (BatchNorma (None, 2048) 8192 q_dense_1[0][0] __________________________________________________________________________________________________ q_dense_2 (Dense) (None, 2048) 4196352 leaky_re_lu[10][0] __________________________________________________________________________________________________ q_dense_2_batchnorm (BatchNorma (None, 2048) 8192 q_dense_2[0][0] __________________________________________________________________________________________________ q_mean_dense (Dense) (None, 16) 32784 leaky_re_lu[11][0] __________________________________________________________________________________________________ q_logvar_dense (Dense) (None, 16) 32784 leaky_re_lu[11][0] __________________________________________________________________________________________________ concatenate_2 (Concatenate) (None, 32) 0 q_mean_dense[0][0] q_logvar_dense[0][0] ================================================================================================== Total params: 17,291,912 Trainable params: 17,274,872 Non-trainable params: 17,040 __________________________________________________________________________________________________ Model: "decoder_r2" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ shared_conv_0 (Conv1D) (None, 4096, 96) 18528 input_1[0][0] __________________________________________________________________________________________________ shared_conv_0_batchnorm (BatchN (None, 4096, 96) 384 shared_conv_0[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 shared_conv_0_batchnorm[0][0] shared_conv_2_batchnorm[0][0] shared_conv_3_batchnorm[0][0] shared_conv_5_batchnorm[0][0] shared_conv_6_batchnorm[0][0] shared_conv_8_batchnorm[0][0] r2_dense_0_batchnorm[0][0] r2_dense_1_batchnorm[0][0] r2_dense_2_batchnorm[0][0] __________________________________________________________________________________________________ max_pooling1d (MaxPooling1D) (None, 2048, 96) 0 leaky_re_lu[0][0] __________________________________________________________________________________________________ shared_conv_2 (Conv1D) (None, 1024, 72) 221256 max_pooling1d[0][0] __________________________________________________________________________________________________ shared_conv_2_batchnorm (BatchN (None, 1024, 72) 288 shared_conv_2[0][0] __________________________________________________________________________________________________ shared_conv_3 (Conv1D) (None, 1024, 64) 73792 leaky_re_lu[1][0] __________________________________________________________________________________________________ shared_conv_3_batchnorm (BatchN (None, 1024, 64) 256 shared_conv_3[0][0] __________________________________________________________________________________________________ max_pooling1d_1 (MaxPooling1D) (None, 512, 64) 0 leaky_re_lu[2][0] __________________________________________________________________________________________________ shared_conv_5 (Conv1D) (None, 256, 48) 24624 max_pooling1d_1[0][0] __________________________________________________________________________________________________ shared_conv_5_batchnorm (BatchN (None, 256, 48) 192 shared_conv_5[0][0] __________________________________________________________________________________________________ shared_conv_6 (Conv1D) (None, 256, 32) 6176 leaky_re_lu[3][0] __________________________________________________________________________________________________ shared_conv_6_batchnorm (BatchN (None, 256, 32) 128 shared_conv_6[0][0] __________________________________________________________________________________________________ max_pooling1d_2 (MaxPooling1D) (None, 128, 32) 0 leaky_re_lu[4][0] __________________________________________________________________________________________________ shared_conv_8 (Conv1D) (None, 64, 16) 1040 max_pooling1d_2[0][0] __________________________________________________________________________________________________ shared_conv_8_batchnorm (BatchN (None, 64, 16) 64 shared_conv_8[0][0] __________________________________________________________________________________________________ input_3 (InputLayer) [(None, 16)] 0 __________________________________________________________________________________________________ flatten (Flatten) (None, 1024) 0 leaky_re_lu[5][0] __________________________________________________________________________________________________ flatten_2 (Flatten) (None, 16) 0 input_3[0][0] __________________________________________________________________________________________________ concatenate_3 (Concatenate) (None, 1040) 0 flatten[0][0] flatten_2[0][0] __________________________________________________________________________________________________ r2_dense_0 (Dense) (None, 4096) 4263936 concatenate_3[0][0] __________________________________________________________________________________________________ r2_dense_0_batchnorm (BatchNorm (None, 4096) 16384 r2_dense_0[0][0] __________________________________________________________________________________________________ r2_dense_1 (Dense) (None, 2048) 8390656 leaky_re_lu[12][0] __________________________________________________________________________________________________ r2_dense_1_batchnorm (BatchNorm (None, 2048) 8192 r2_dense_1[0][0] __________________________________________________________________________________________________ r2_dense_2 (Dense) (None, 2048) 4196352 leaky_re_lu[13][0] __________________________________________________________________________________________________ r2_dense_2_batchnorm (BatchNorm (None, 2048) 8192 r2_dense_2[0][0] __________________________________________________________________________________________________ TruncatedNormalMM_mean (Dense) (None, 36) 73764 leaky_re_lu[14][0] __________________________________________________________________________________________________ TruncatedNormalMM_logvar (Dense (None, 36) 73764 leaky_re_lu[14][0] __________________________________________________________________________________________________ TruncatedNormalMM_logweight (De (None, 36) 73764 leaky_re_lu[14][0] __________________________________________________________________________________________________ VonMisesMM_mean (Dense) (None, 32) 65568 leaky_re_lu[14][0] __________________________________________________________________________________________________ VonMisesMM_logvar (Dense) (None, 16) 32784 leaky_re_lu[14][0] __________________________________________________________________________________________________ VonMisesMM_logweight (Dense) (None, 16) 32784 leaky_re_lu[14][0] __________________________________________________________________________________________________ JointVonMisesFisherMM_mean (Den (None, 12) 24588 leaky_re_lu[14][0] __________________________________________________________________________________________________ JointVonMisesFisherMM_logvar (D (None, 4) 8196 leaky_re_lu[14][0] __________________________________________________________________________________________________ JointVonMisesFisherMM_logweight (None, 4) 8196 leaky_re_lu[14][0] __________________________________________________________________________________________________ concatenate_4 (Concatenate) (None, 192) 0 TruncatedNormalMM_mean[0][0] TruncatedNormalMM_logvar[0][0] TruncatedNormalMM_logweight[0][0] VonMisesMM_mean[0][0] VonMisesMM_logvar[0][0] VonMisesMM_logweight[0][0] JointVonMisesFisherMM_mean[0][0] JointVonMisesFisherMM_logvar[0][0 JointVonMisesFisherMM_logweight[0 ================================================================================================== Total params: 17,623,848 Trainable params: 17,606,808 Non-trainable params: 17,040 __________________________________________________________________________________________________