Model: "encoder_r1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ tf.__operators__.getitem (Slici (None, 2048, 3) 0 input_1[0][0] __________________________________________________________________________________________________ tf.__operators__.getitem_1 (Sli (None, 1024, 3) 0 input_1[0][0] __________________________________________________________________________________________________ tf.__operators__.getitem_2 (Sli (None, 512, 3) 0 input_1[0][0] __________________________________________________________________________________________________ tf.__operators__.getitem_3 (Sli (None, 512, 3) 0 input_1[0][0] __________________________________________________________________________________________________ conv1d (Conv1D) (None, 4096, 32) 6176 input_1[0][0] __________________________________________________________________________________________________ conv1d_1 (Conv1D) (None, 2048, 32) 6176 tf.__operators__.getitem[0][0] __________________________________________________________________________________________________ conv1d_2 (Conv1D) (None, 1024, 32) 6176 tf.__operators__.getitem_1[0][0] __________________________________________________________________________________________________ conv1d_3 (Conv1D) (None, 512, 32) 6176 tf.__operators__.getitem_2[0][0] __________________________________________________________________________________________________ conv1d_4 (Conv1D) (None, 512, 32) 6176 tf.__operators__.getitem_3[0][0] __________________________________________________________________________________________________ batch_normalization (BatchNorma (None, 4096, 32) 128 conv1d[0][0] __________________________________________________________________________________________________ batch_normalization_1 (BatchNor (None, 2048, 32) 128 conv1d_1[0][0] __________________________________________________________________________________________________ batch_normalization_2 (BatchNor (None, 1024, 32) 128 conv1d_2[0][0] __________________________________________________________________________________________________ batch_normalization_3 (BatchNor (None, 512, 32) 128 conv1d_3[0][0] __________________________________________________________________________________________________ batch_normalization_4 (BatchNor (None, 512, 32) 128 conv1d_4[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 batch_normalization[0][0] batch_normalization_1[0][0] batch_normalization_2[0][0] batch_normalization_3[0][0] batch_normalization_4[0][0] shared_res_1_1st_batchnorm[0][0] shared_res_1_2nd_batchnorm[0][0] add[0][0] shared_res_3_1st_batchnorm[0][0] shared_res_3_2nd_batchnorm[0][0] add_1[0][0] shared_res_5_1st_batchnorm[0][0] shared_res_5_2nd_batchnorm[0][0] add_2[0][0] shared_res_7_1st_batchnorm[0][0] shared_res_7_2nd_batchnorm[0][0] add_3[0][0] shared_res_9_1st_batchnorm[0][0] shared_res_9_2nd_batchnorm[0][0] add_4[0][0] shared_res_11_1st_batchnorm[0][0] shared_res_11_2nd_batchnorm[0][0] add_5[0][0] shared_res_13_1st_batchnorm[0][0] shared_res_13_2nd_batchnorm[0][0] add_6[0][0] r1_dense_1_batchnorm[0][0] __________________________________________________________________________________________________ concatenate (Concatenate) (None, 8192, 32) 0 leaky_re_lu[0][0] leaky_re_lu[1][0] leaky_re_lu[2][0] leaky_re_lu[3][0] leaky_re_lu[4][0] __________________________________________________________________________________________________ max_pooling1d (MaxPooling1D) (None, 4096, 32) 0 concatenate[0][0] __________________________________________________________________________________________________ shared_res_1_1st (Conv1D) (None, 4096, 32) 1056 max_pooling1d[0][0] __________________________________________________________________________________________________ shared_res_1_1st_batchnorm (Bat (None, 4096, 32) 128 shared_res_1_1st[0][0] __________________________________________________________________________________________________ shared_res_1_2nd (Conv1D) (None, 4096, 32) 7200 leaky_re_lu[5][0] __________________________________________________________________________________________________ shared_res_1_2nd_batchnorm (Bat (None, 4096, 32) 128 shared_res_1_2nd[0][0] __________________________________________________________________________________________________ shared_res_1_3rd (Conv1D) (None, 4096, 32) 1056 leaky_re_lu[6][0] __________________________________________________________________________________________________ shared_res_1_3rd_batchnorm (Bat (None, 4096, 32) 128 shared_res_1_3rd[0][0] __________________________________________________________________________________________________ add (Add) (None, 4096, 32) 0 shared_res_1_3rd_batchnorm[0][0] max_pooling1d[0][0] __________________________________________________________________________________________________ max_pooling1d_1 (MaxPooling1D) (None, 2048, 32) 0 leaky_re_lu[7][0] __________________________________________________________________________________________________ shared_res_3_1st (Conv1D) (None, 2048, 32) 1056 max_pooling1d_1[0][0] __________________________________________________________________________________________________ shared_res_3_1st_batchnorm (Bat (None, 2048, 32) 128 shared_res_3_1st[0][0] __________________________________________________________________________________________________ shared_res_3_2nd (Conv1D) (None, 2048, 32) 7200 leaky_re_lu[8][0] __________________________________________________________________________________________________ shared_res_3_2nd_batchnorm (Bat (None, 2048, 32) 128 shared_res_3_2nd[0][0] __________________________________________________________________________________________________ shared_res_3_3rd (Conv1D) (None, 2048, 32) 1056 leaky_re_lu[9][0] __________________________________________________________________________________________________ shared_res_3_3rd_batchnorm (Bat (None, 2048, 32) 128 shared_res_3_3rd[0][0] __________________________________________________________________________________________________ add_1 (Add) (None, 2048, 32) 0 shared_res_3_3rd_batchnorm[0][0] max_pooling1d_1[0][0] __________________________________________________________________________________________________ max_pooling1d_2 (MaxPooling1D) (None, 1024, 32) 0 leaky_re_lu[10][0] __________________________________________________________________________________________________ shared_res_5_1st (Conv1D) (None, 1024, 32) 1056 max_pooling1d_2[0][0] __________________________________________________________________________________________________ shared_res_5_1st_batchnorm (Bat (None, 1024, 32) 128 shared_res_5_1st[0][0] __________________________________________________________________________________________________ shared_res_5_2nd (Conv1D) (None, 1024, 32) 5152 leaky_re_lu[11][0] __________________________________________________________________________________________________ shared_res_5_2nd_batchnorm (Bat (None, 1024, 32) 128 shared_res_5_2nd[0][0] __________________________________________________________________________________________________ shared_res_5_3rd (Conv1D) (None, 1024, 32) 1056 leaky_re_lu[12][0] __________________________________________________________________________________________________ shared_res_5_3rd_batchnorm (Bat (None, 1024, 32) 128 shared_res_5_3rd[0][0] __________________________________________________________________________________________________ add_2 (Add) (None, 1024, 32) 0 shared_res_5_3rd_batchnorm[0][0] max_pooling1d_2[0][0] __________________________________________________________________________________________________ max_pooling1d_3 (MaxPooling1D) (None, 512, 32) 0 leaky_re_lu[13][0] __________________________________________________________________________________________________ shared_res_7_1st (Conv1D) (None, 512, 32) 1056 max_pooling1d_3[0][0] __________________________________________________________________________________________________ shared_res_7_1st_batchnorm (Bat (None, 512, 32) 128 shared_res_7_1st[0][0] __________________________________________________________________________________________________ shared_res_7_2nd (Conv1D) (None, 512, 32) 5152 leaky_re_lu[14][0] __________________________________________________________________________________________________ shared_res_7_2nd_batchnorm (Bat (None, 512, 32) 128 shared_res_7_2nd[0][0] __________________________________________________________________________________________________ shared_res_7_3rd (Conv1D) (None, 512, 32) 1056 leaky_re_lu[15][0] __________________________________________________________________________________________________ shared_res_7_3rd_batchnorm (Bat (None, 512, 32) 128 shared_res_7_3rd[0][0] __________________________________________________________________________________________________ add_3 (Add) (None, 512, 32) 0 shared_res_7_3rd_batchnorm[0][0] max_pooling1d_3[0][0] __________________________________________________________________________________________________ max_pooling1d_4 (MaxPooling1D) (None, 256, 32) 0 leaky_re_lu[16][0] __________________________________________________________________________________________________ shared_res_9_1st (Conv1D) (None, 256, 32) 1056 max_pooling1d_4[0][0] __________________________________________________________________________________________________ shared_res_9_1st_batchnorm (Bat (None, 256, 32) 128 shared_res_9_1st[0][0] __________________________________________________________________________________________________ shared_res_9_2nd (Conv1D) (None, 256, 32) 5152 leaky_re_lu[17][0] __________________________________________________________________________________________________ shared_res_9_2nd_batchnorm (Bat (None, 256, 32) 128 shared_res_9_2nd[0][0] __________________________________________________________________________________________________ shared_res_9_3rd (Conv1D) (None, 256, 32) 1056 leaky_re_lu[18][0] __________________________________________________________________________________________________ shared_res_9_3rd_batchnorm (Bat (None, 256, 32) 128 shared_res_9_3rd[0][0] __________________________________________________________________________________________________ add_4 (Add) (None, 256, 32) 0 shared_res_9_3rd_batchnorm[0][0] max_pooling1d_4[0][0] __________________________________________________________________________________________________ max_pooling1d_5 (MaxPooling1D) (None, 128, 32) 0 leaky_re_lu[19][0] __________________________________________________________________________________________________ shared_res_11_1st (Conv1D) (None, 128, 32) 1056 max_pooling1d_5[0][0] __________________________________________________________________________________________________ shared_res_11_1st_batchnorm (Ba (None, 128, 32) 128 shared_res_11_1st[0][0] __________________________________________________________________________________________________ shared_res_11_2nd (Conv1D) (None, 128, 32) 3104 leaky_re_lu[20][0] __________________________________________________________________________________________________ shared_res_11_2nd_batchnorm (Ba (None, 128, 32) 128 shared_res_11_2nd[0][0] __________________________________________________________________________________________________ shared_res_11_3rd (Conv1D) (None, 128, 32) 1056 leaky_re_lu[21][0] __________________________________________________________________________________________________ shared_res_11_3rd_batchnorm (Ba (None, 128, 32) 128 shared_res_11_3rd[0][0] __________________________________________________________________________________________________ add_5 (Add) (None, 128, 32) 0 shared_res_11_3rd_batchnorm[0][0] max_pooling1d_5[0][0] __________________________________________________________________________________________________ max_pooling1d_6 (MaxPooling1D) (None, 64, 32) 0 leaky_re_lu[22][0] __________________________________________________________________________________________________ shared_res_13_1st (Conv1D) (None, 64, 32) 1056 max_pooling1d_6[0][0] __________________________________________________________________________________________________ shared_res_13_1st_batchnorm (Ba (None, 64, 32) 128 shared_res_13_1st[0][0] __________________________________________________________________________________________________ shared_res_13_2nd (Conv1D) (None, 64, 32) 3104 leaky_re_lu[23][0] __________________________________________________________________________________________________ shared_res_13_2nd_batchnorm (Ba (None, 64, 32) 128 shared_res_13_2nd[0][0] __________________________________________________________________________________________________ shared_res_13_3rd (Conv1D) (None, 64, 32) 1056 leaky_re_lu[24][0] __________________________________________________________________________________________________ shared_res_13_3rd_batchnorm (Ba (None, 64, 32) 128 shared_res_13_3rd[0][0] __________________________________________________________________________________________________ add_6 (Add) (None, 64, 32) 0 shared_res_13_3rd_batchnorm[0][0] max_pooling1d_6[0][0] __________________________________________________________________________________________________ max_pooling1d_7 (MaxPooling1D) (None, 32, 32) 0 leaky_re_lu[25][0] __________________________________________________________________________________________________ reshape (Reshape) (None, 32, 32, 1) 0 max_pooling1d_7[0][0] __________________________________________________________________________________________________ flatten (Flatten) (None, 1024) 0 reshape[0][0] __________________________________________________________________________________________________ r1_dense_1 (Dense) (None, 1) 1025 flatten[0][0] __________________________________________________________________________________________________ r1_dense_1_batchnorm (BatchNorm (None, 1) 4 r1_dense_1[0][0] __________________________________________________________________________________________________ r1_mean_dense (Dense) (None, 1) 2 leaky_re_lu[26][0] __________________________________________________________________________________________________ r1_logvar_dense (Dense) (None, 1) 2 leaky_re_lu[26][0] __________________________________________________________________________________________________ r1_modes_dense (Dense) (None, 1) 2 leaky_re_lu[26][0] __________________________________________________________________________________________________ concatenate_1 (Concatenate) (None, 3) 0 r1_mean_dense[0][0] r1_logvar_dense[0][0] r1_modes_dense[0][0] ================================================================================================== Total params: 86,091 Trainable params: 84,425 Non-trainable params: 1,666 __________________________________________________________________________________________________ Model: "encoder_q" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ tf.__operators__.getitem (Slici (None, 2048, 3) 0 input_1[0][0] __________________________________________________________________________________________________ tf.__operators__.getitem_1 (Sli (None, 1024, 3) 0 input_1[0][0] __________________________________________________________________________________________________ tf.__operators__.getitem_2 (Sli (None, 512, 3) 0 input_1[0][0] __________________________________________________________________________________________________ tf.__operators__.getitem_3 (Sli (None, 512, 3) 0 input_1[0][0] __________________________________________________________________________________________________ conv1d (Conv1D) (None, 4096, 32) 6176 input_1[0][0] __________________________________________________________________________________________________ conv1d_1 (Conv1D) (None, 2048, 32) 6176 tf.__operators__.getitem[0][0] __________________________________________________________________________________________________ conv1d_2 (Conv1D) (None, 1024, 32) 6176 tf.__operators__.getitem_1[0][0] __________________________________________________________________________________________________ conv1d_3 (Conv1D) (None, 512, 32) 6176 tf.__operators__.getitem_2[0][0] __________________________________________________________________________________________________ conv1d_4 (Conv1D) (None, 512, 32) 6176 tf.__operators__.getitem_3[0][0] __________________________________________________________________________________________________ batch_normalization (BatchNorma (None, 4096, 32) 128 conv1d[0][0] __________________________________________________________________________________________________ batch_normalization_1 (BatchNor (None, 2048, 32) 128 conv1d_1[0][0] __________________________________________________________________________________________________ batch_normalization_2 (BatchNor (None, 1024, 32) 128 conv1d_2[0][0] __________________________________________________________________________________________________ batch_normalization_3 (BatchNor (None, 512, 32) 128 conv1d_3[0][0] __________________________________________________________________________________________________ batch_normalization_4 (BatchNor (None, 512, 32) 128 conv1d_4[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 batch_normalization[0][0] batch_normalization_1[0][0] batch_normalization_2[0][0] batch_normalization_3[0][0] batch_normalization_4[0][0] shared_res_1_1st_batchnorm[0][0] shared_res_1_2nd_batchnorm[0][0] add[0][0] shared_res_3_1st_batchnorm[0][0] shared_res_3_2nd_batchnorm[0][0] add_1[0][0] shared_res_5_1st_batchnorm[0][0] shared_res_5_2nd_batchnorm[0][0] add_2[0][0] shared_res_7_1st_batchnorm[0][0] shared_res_7_2nd_batchnorm[0][0] add_3[0][0] shared_res_9_1st_batchnorm[0][0] shared_res_9_2nd_batchnorm[0][0] add_4[0][0] shared_res_11_1st_batchnorm[0][0] shared_res_11_2nd_batchnorm[0][0] add_5[0][0] shared_res_13_1st_batchnorm[0][0] shared_res_13_2nd_batchnorm[0][0] add_6[0][0] q_dense_1_batchnorm[0][0] __________________________________________________________________________________________________ concatenate (Concatenate) (None, 8192, 32) 0 leaky_re_lu[0][0] leaky_re_lu[1][0] leaky_re_lu[2][0] leaky_re_lu[3][0] leaky_re_lu[4][0] __________________________________________________________________________________________________ max_pooling1d (MaxPooling1D) (None, 4096, 32) 0 concatenate[0][0] __________________________________________________________________________________________________ shared_res_1_1st (Conv1D) (None, 4096, 32) 1056 max_pooling1d[0][0] __________________________________________________________________________________________________ shared_res_1_1st_batchnorm (Bat (None, 4096, 32) 128 shared_res_1_1st[0][0] __________________________________________________________________________________________________ shared_res_1_2nd (Conv1D) (None, 4096, 32) 7200 leaky_re_lu[5][0] __________________________________________________________________________________________________ shared_res_1_2nd_batchnorm (Bat (None, 4096, 32) 128 shared_res_1_2nd[0][0] __________________________________________________________________________________________________ shared_res_1_3rd (Conv1D) (None, 4096, 32) 1056 leaky_re_lu[6][0] __________________________________________________________________________________________________ shared_res_1_3rd_batchnorm (Bat (None, 4096, 32) 128 shared_res_1_3rd[0][0] __________________________________________________________________________________________________ add (Add) (None, 4096, 32) 0 shared_res_1_3rd_batchnorm[0][0] max_pooling1d[0][0] __________________________________________________________________________________________________ max_pooling1d_1 (MaxPooling1D) (None, 2048, 32) 0 leaky_re_lu[7][0] __________________________________________________________________________________________________ shared_res_3_1st (Conv1D) (None, 2048, 32) 1056 max_pooling1d_1[0][0] __________________________________________________________________________________________________ shared_res_3_1st_batchnorm (Bat (None, 2048, 32) 128 shared_res_3_1st[0][0] __________________________________________________________________________________________________ shared_res_3_2nd (Conv1D) (None, 2048, 32) 7200 leaky_re_lu[8][0] __________________________________________________________________________________________________ shared_res_3_2nd_batchnorm (Bat (None, 2048, 32) 128 shared_res_3_2nd[0][0] __________________________________________________________________________________________________ shared_res_3_3rd (Conv1D) (None, 2048, 32) 1056 leaky_re_lu[9][0] __________________________________________________________________________________________________ shared_res_3_3rd_batchnorm (Bat (None, 2048, 32) 128 shared_res_3_3rd[0][0] __________________________________________________________________________________________________ add_1 (Add) (None, 2048, 32) 0 shared_res_3_3rd_batchnorm[0][0] max_pooling1d_1[0][0] __________________________________________________________________________________________________ max_pooling1d_2 (MaxPooling1D) (None, 1024, 32) 0 leaky_re_lu[10][0] __________________________________________________________________________________________________ shared_res_5_1st (Conv1D) (None, 1024, 32) 1056 max_pooling1d_2[0][0] __________________________________________________________________________________________________ shared_res_5_1st_batchnorm (Bat (None, 1024, 32) 128 shared_res_5_1st[0][0] __________________________________________________________________________________________________ shared_res_5_2nd (Conv1D) (None, 1024, 32) 5152 leaky_re_lu[11][0] __________________________________________________________________________________________________ shared_res_5_2nd_batchnorm (Bat (None, 1024, 32) 128 shared_res_5_2nd[0][0] __________________________________________________________________________________________________ shared_res_5_3rd (Conv1D) (None, 1024, 32) 1056 leaky_re_lu[12][0] __________________________________________________________________________________________________ shared_res_5_3rd_batchnorm (Bat (None, 1024, 32) 128 shared_res_5_3rd[0][0] __________________________________________________________________________________________________ add_2 (Add) (None, 1024, 32) 0 shared_res_5_3rd_batchnorm[0][0] max_pooling1d_2[0][0] __________________________________________________________________________________________________ max_pooling1d_3 (MaxPooling1D) (None, 512, 32) 0 leaky_re_lu[13][0] __________________________________________________________________________________________________ shared_res_7_1st (Conv1D) (None, 512, 32) 1056 max_pooling1d_3[0][0] __________________________________________________________________________________________________ shared_res_7_1st_batchnorm (Bat (None, 512, 32) 128 shared_res_7_1st[0][0] __________________________________________________________________________________________________ shared_res_7_2nd (Conv1D) (None, 512, 32) 5152 leaky_re_lu[14][0] __________________________________________________________________________________________________ shared_res_7_2nd_batchnorm (Bat (None, 512, 32) 128 shared_res_7_2nd[0][0] __________________________________________________________________________________________________ shared_res_7_3rd (Conv1D) (None, 512, 32) 1056 leaky_re_lu[15][0] __________________________________________________________________________________________________ shared_res_7_3rd_batchnorm (Bat (None, 512, 32) 128 shared_res_7_3rd[0][0] __________________________________________________________________________________________________ add_3 (Add) (None, 512, 32) 0 shared_res_7_3rd_batchnorm[0][0] max_pooling1d_3[0][0] __________________________________________________________________________________________________ max_pooling1d_4 (MaxPooling1D) (None, 256, 32) 0 leaky_re_lu[16][0] __________________________________________________________________________________________________ shared_res_9_1st (Conv1D) (None, 256, 32) 1056 max_pooling1d_4[0][0] __________________________________________________________________________________________________ shared_res_9_1st_batchnorm (Bat (None, 256, 32) 128 shared_res_9_1st[0][0] __________________________________________________________________________________________________ shared_res_9_2nd (Conv1D) (None, 256, 32) 5152 leaky_re_lu[17][0] __________________________________________________________________________________________________ shared_res_9_2nd_batchnorm (Bat (None, 256, 32) 128 shared_res_9_2nd[0][0] __________________________________________________________________________________________________ shared_res_9_3rd (Conv1D) (None, 256, 32) 1056 leaky_re_lu[18][0] __________________________________________________________________________________________________ shared_res_9_3rd_batchnorm (Bat (None, 256, 32) 128 shared_res_9_3rd[0][0] __________________________________________________________________________________________________ add_4 (Add) (None, 256, 32) 0 shared_res_9_3rd_batchnorm[0][0] max_pooling1d_4[0][0] __________________________________________________________________________________________________ max_pooling1d_5 (MaxPooling1D) (None, 128, 32) 0 leaky_re_lu[19][0] __________________________________________________________________________________________________ shared_res_11_1st (Conv1D) (None, 128, 32) 1056 max_pooling1d_5[0][0] __________________________________________________________________________________________________ shared_res_11_1st_batchnorm (Ba (None, 128, 32) 128 shared_res_11_1st[0][0] __________________________________________________________________________________________________ shared_res_11_2nd (Conv1D) (None, 128, 32) 3104 leaky_re_lu[20][0] __________________________________________________________________________________________________ shared_res_11_2nd_batchnorm (Ba (None, 128, 32) 128 shared_res_11_2nd[0][0] __________________________________________________________________________________________________ shared_res_11_3rd (Conv1D) (None, 128, 32) 1056 leaky_re_lu[21][0] __________________________________________________________________________________________________ shared_res_11_3rd_batchnorm (Ba (None, 128, 32) 128 shared_res_11_3rd[0][0] __________________________________________________________________________________________________ add_5 (Add) (None, 128, 32) 0 shared_res_11_3rd_batchnorm[0][0] max_pooling1d_5[0][0] __________________________________________________________________________________________________ max_pooling1d_6 (MaxPooling1D) (None, 64, 32) 0 leaky_re_lu[22][0] __________________________________________________________________________________________________ shared_res_13_1st (Conv1D) (None, 64, 32) 1056 max_pooling1d_6[0][0] __________________________________________________________________________________________________ shared_res_13_1st_batchnorm (Ba (None, 64, 32) 128 shared_res_13_1st[0][0] __________________________________________________________________________________________________ shared_res_13_2nd (Conv1D) (None, 64, 32) 3104 leaky_re_lu[23][0] __________________________________________________________________________________________________ shared_res_13_2nd_batchnorm (Ba (None, 64, 32) 128 shared_res_13_2nd[0][0] __________________________________________________________________________________________________ shared_res_13_3rd (Conv1D) (None, 64, 32) 1056 leaky_re_lu[24][0] __________________________________________________________________________________________________ shared_res_13_3rd_batchnorm (Ba (None, 64, 32) 128 shared_res_13_3rd[0][0] __________________________________________________________________________________________________ add_6 (Add) (None, 64, 32) 0 shared_res_13_3rd_batchnorm[0][0] max_pooling1d_6[0][0] __________________________________________________________________________________________________ input_2 (InputLayer) [(None, 15)] 0 __________________________________________________________________________________________________ max_pooling1d_7 (MaxPooling1D) (None, 32, 32) 0 leaky_re_lu[25][0] __________________________________________________________________________________________________ q_inx_dense (Dense) (None, 1024) 16384 input_2[0][0] __________________________________________________________________________________________________ reshape (Reshape) (None, 32, 32, 1) 0 max_pooling1d_7[0][0] __________________________________________________________________________________________________ tf.reshape (TFOpLambda) (None, 32, 32, 1) 0 q_inx_dense[0][0] __________________________________________________________________________________________________ concatenate_2 (Concatenate) (None, 32, 32, 2) 0 reshape[0][0] tf.reshape[0][0] __________________________________________________________________________________________________ flatten_1 (Flatten) (None, 2048) 0 concatenate_2[0][0] __________________________________________________________________________________________________ q_dense_1 (Dense) (None, 1) 2049 flatten_1[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[27][0] __________________________________________________________________________________________________ q_logvar_dense (Dense) (None, 1) 2 leaky_re_lu[27][0] __________________________________________________________________________________________________ concatenate_3 (Concatenate) (None, 2) 0 q_mean_dense[0][0] q_logvar_dense[0][0] ================================================================================================== Total params: 103,497 Trainable params: 101,831 Non-trainable params: 1,666 __________________________________________________________________________________________________ Model: "decoder_r2" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 4096, 3)] 0 __________________________________________________________________________________________________ tf.__operators__.getitem (Slici (None, 2048, 3) 0 input_1[0][0] __________________________________________________________________________________________________ tf.__operators__.getitem_1 (Sli (None, 1024, 3) 0 input_1[0][0] __________________________________________________________________________________________________ tf.__operators__.getitem_2 (Sli (None, 512, 3) 0 input_1[0][0] __________________________________________________________________________________________________ tf.__operators__.getitem_3 (Sli (None, 512, 3) 0 input_1[0][0] __________________________________________________________________________________________________ conv1d (Conv1D) (None, 4096, 32) 6176 input_1[0][0] __________________________________________________________________________________________________ conv1d_1 (Conv1D) (None, 2048, 32) 6176 tf.__operators__.getitem[0][0] __________________________________________________________________________________________________ conv1d_2 (Conv1D) (None, 1024, 32) 6176 tf.__operators__.getitem_1[0][0] __________________________________________________________________________________________________ conv1d_3 (Conv1D) (None, 512, 32) 6176 tf.__operators__.getitem_2[0][0] __________________________________________________________________________________________________ conv1d_4 (Conv1D) (None, 512, 32) 6176 tf.__operators__.getitem_3[0][0] __________________________________________________________________________________________________ batch_normalization (BatchNorma (None, 4096, 32) 128 conv1d[0][0] __________________________________________________________________________________________________ batch_normalization_1 (BatchNor (None, 2048, 32) 128 conv1d_1[0][0] __________________________________________________________________________________________________ batch_normalization_2 (BatchNor (None, 1024, 32) 128 conv1d_2[0][0] __________________________________________________________________________________________________ batch_normalization_3 (BatchNor (None, 512, 32) 128 conv1d_3[0][0] __________________________________________________________________________________________________ batch_normalization_4 (BatchNor (None, 512, 32) 128 conv1d_4[0][0] __________________________________________________________________________________________________ leaky_re_lu (LeakyReLU) multiple 0 batch_normalization[0][0] batch_normalization_1[0][0] batch_normalization_2[0][0] batch_normalization_3[0][0] batch_normalization_4[0][0] shared_res_1_1st_batchnorm[0][0] shared_res_1_2nd_batchnorm[0][0] add[0][0] shared_res_3_1st_batchnorm[0][0] shared_res_3_2nd_batchnorm[0][0] add_1[0][0] shared_res_5_1st_batchnorm[0][0] shared_res_5_2nd_batchnorm[0][0] add_2[0][0] shared_res_7_1st_batchnorm[0][0] shared_res_7_2nd_batchnorm[0][0] add_3[0][0] shared_res_9_1st_batchnorm[0][0] shared_res_9_2nd_batchnorm[0][0] add_4[0][0] shared_res_11_1st_batchnorm[0][0] shared_res_11_2nd_batchnorm[0][0] add_5[0][0] shared_res_13_1st_batchnorm[0][0] shared_res_13_2nd_batchnorm[0][0] add_6[0][0] r2_conv2d_0_batchnorm[0][0] batch_normalization_5[0][0] batch_normalization_6[0][0] add_7[0][0] batch_normalization_8[0][0] batch_normalization_9[0][0] add_8[0][0] batch_normalization_11[0][0] batch_normalization_12[0][0] add_9[0][0] r2_dense_8_batchnorm[0][0] __________________________________________________________________________________________________ concatenate (Concatenate) (None, 8192, 32) 0 leaky_re_lu[0][0] leaky_re_lu[1][0] leaky_re_lu[2][0] leaky_re_lu[3][0] leaky_re_lu[4][0] __________________________________________________________________________________________________ max_pooling1d (MaxPooling1D) (None, 4096, 32) 0 concatenate[0][0] __________________________________________________________________________________________________ shared_res_1_1st (Conv1D) (None, 4096, 32) 1056 max_pooling1d[0][0] __________________________________________________________________________________________________ shared_res_1_1st_batchnorm (Bat (None, 4096, 32) 128 shared_res_1_1st[0][0] __________________________________________________________________________________________________ shared_res_1_2nd (Conv1D) (None, 4096, 32) 7200 leaky_re_lu[5][0] __________________________________________________________________________________________________ shared_res_1_2nd_batchnorm (Bat (None, 4096, 32) 128 shared_res_1_2nd[0][0] __________________________________________________________________________________________________ shared_res_1_3rd (Conv1D) (None, 4096, 32) 1056 leaky_re_lu[6][0] __________________________________________________________________________________________________ shared_res_1_3rd_batchnorm (Bat (None, 4096, 32) 128 shared_res_1_3rd[0][0] __________________________________________________________________________________________________ add (Add) (None, 4096, 32) 0 shared_res_1_3rd_batchnorm[0][0] max_pooling1d[0][0] __________________________________________________________________________________________________ max_pooling1d_1 (MaxPooling1D) (None, 2048, 32) 0 leaky_re_lu[7][0] __________________________________________________________________________________________________ shared_res_3_1st (Conv1D) (None, 2048, 32) 1056 max_pooling1d_1[0][0] __________________________________________________________________________________________________ shared_res_3_1st_batchnorm (Bat (None, 2048, 32) 128 shared_res_3_1st[0][0] __________________________________________________________________________________________________ shared_res_3_2nd (Conv1D) (None, 2048, 32) 7200 leaky_re_lu[8][0] __________________________________________________________________________________________________ shared_res_3_2nd_batchnorm (Bat (None, 2048, 32) 128 shared_res_3_2nd[0][0] __________________________________________________________________________________________________ shared_res_3_3rd (Conv1D) (None, 2048, 32) 1056 leaky_re_lu[9][0] __________________________________________________________________________________________________ shared_res_3_3rd_batchnorm (Bat (None, 2048, 32) 128 shared_res_3_3rd[0][0] __________________________________________________________________________________________________ add_1 (Add) (None, 2048, 32) 0 shared_res_3_3rd_batchnorm[0][0] max_pooling1d_1[0][0] __________________________________________________________________________________________________ max_pooling1d_2 (MaxPooling1D) (None, 1024, 32) 0 leaky_re_lu[10][0] __________________________________________________________________________________________________ shared_res_5_1st (Conv1D) (None, 1024, 32) 1056 max_pooling1d_2[0][0] __________________________________________________________________________________________________ shared_res_5_1st_batchnorm (Bat (None, 1024, 32) 128 shared_res_5_1st[0][0] __________________________________________________________________________________________________ shared_res_5_2nd (Conv1D) (None, 1024, 32) 5152 leaky_re_lu[11][0] __________________________________________________________________________________________________ shared_res_5_2nd_batchnorm (Bat (None, 1024, 32) 128 shared_res_5_2nd[0][0] __________________________________________________________________________________________________ shared_res_5_3rd (Conv1D) (None, 1024, 32) 1056 leaky_re_lu[12][0] __________________________________________________________________________________________________ shared_res_5_3rd_batchnorm (Bat (None, 1024, 32) 128 shared_res_5_3rd[0][0] __________________________________________________________________________________________________ add_2 (Add) (None, 1024, 32) 0 shared_res_5_3rd_batchnorm[0][0] max_pooling1d_2[0][0] __________________________________________________________________________________________________ max_pooling1d_3 (MaxPooling1D) (None, 512, 32) 0 leaky_re_lu[13][0] __________________________________________________________________________________________________ shared_res_7_1st (Conv1D) (None, 512, 32) 1056 max_pooling1d_3[0][0] __________________________________________________________________________________________________ shared_res_7_1st_batchnorm (Bat (None, 512, 32) 128 shared_res_7_1st[0][0] __________________________________________________________________________________________________ shared_res_7_2nd (Conv1D) (None, 512, 32) 5152 leaky_re_lu[14][0] __________________________________________________________________________________________________ shared_res_7_2nd_batchnorm (Bat (None, 512, 32) 128 shared_res_7_2nd[0][0] __________________________________________________________________________________________________ shared_res_7_3rd (Conv1D) (None, 512, 32) 1056 leaky_re_lu[15][0] __________________________________________________________________________________________________ shared_res_7_3rd_batchnorm (Bat (None, 512, 32) 128 shared_res_7_3rd[0][0] __________________________________________________________________________________________________ add_3 (Add) (None, 512, 32) 0 shared_res_7_3rd_batchnorm[0][0] max_pooling1d_3[0][0] __________________________________________________________________________________________________ max_pooling1d_4 (MaxPooling1D) (None, 256, 32) 0 leaky_re_lu[16][0] __________________________________________________________________________________________________ shared_res_9_1st (Conv1D) (None, 256, 32) 1056 max_pooling1d_4[0][0] __________________________________________________________________________________________________ shared_res_9_1st_batchnorm (Bat (None, 256, 32) 128 shared_res_9_1st[0][0] __________________________________________________________________________________________________ shared_res_9_2nd (Conv1D) (None, 256, 32) 5152 leaky_re_lu[17][0] __________________________________________________________________________________________________ shared_res_9_2nd_batchnorm (Bat (None, 256, 32) 128 shared_res_9_2nd[0][0] __________________________________________________________________________________________________ shared_res_9_3rd (Conv1D) (None, 256, 32) 1056 leaky_re_lu[18][0] __________________________________________________________________________________________________ shared_res_9_3rd_batchnorm (Bat (None, 256, 32) 128 shared_res_9_3rd[0][0] __________________________________________________________________________________________________ add_4 (Add) (None, 256, 32) 0 shared_res_9_3rd_batchnorm[0][0] max_pooling1d_4[0][0] __________________________________________________________________________________________________ max_pooling1d_5 (MaxPooling1D) (None, 128, 32) 0 leaky_re_lu[19][0] __________________________________________________________________________________________________ shared_res_11_1st (Conv1D) (None, 128, 32) 1056 max_pooling1d_5[0][0] __________________________________________________________________________________________________ shared_res_11_1st_batchnorm (Ba (None, 128, 32) 128 shared_res_11_1st[0][0] __________________________________________________________________________________________________ shared_res_11_2nd (Conv1D) (None, 128, 32) 3104 leaky_re_lu[20][0] __________________________________________________________________________________________________ shared_res_11_2nd_batchnorm (Ba (None, 128, 32) 128 shared_res_11_2nd[0][0] __________________________________________________________________________________________________ shared_res_11_3rd (Conv1D) (None, 128, 32) 1056 leaky_re_lu[21][0] __________________________________________________________________________________________________ shared_res_11_3rd_batchnorm (Ba (None, 128, 32) 128 shared_res_11_3rd[0][0] __________________________________________________________________________________________________ add_5 (Add) (None, 128, 32) 0 shared_res_11_3rd_batchnorm[0][0] max_pooling1d_5[0][0] __________________________________________________________________________________________________ max_pooling1d_6 (MaxPooling1D) (None, 64, 32) 0 leaky_re_lu[22][0] __________________________________________________________________________________________________ shared_res_13_1st (Conv1D) (None, 64, 32) 1056 max_pooling1d_6[0][0] __________________________________________________________________________________________________ shared_res_13_1st_batchnorm (Ba (None, 64, 32) 128 shared_res_13_1st[0][0] __________________________________________________________________________________________________ shared_res_13_2nd (Conv1D) (None, 64, 32) 3104 leaky_re_lu[23][0] __________________________________________________________________________________________________ shared_res_13_2nd_batchnorm (Ba (None, 64, 32) 128 shared_res_13_2nd[0][0] __________________________________________________________________________________________________ shared_res_13_3rd (Conv1D) (None, 64, 32) 1056 leaky_re_lu[24][0] __________________________________________________________________________________________________ shared_res_13_3rd_batchnorm (Ba (None, 64, 32) 128 shared_res_13_3rd[0][0] __________________________________________________________________________________________________ add_6 (Add) (None, 64, 32) 0 shared_res_13_3rd_batchnorm[0][0] max_pooling1d_6[0][0] __________________________________________________________________________________________________ input_3 (InputLayer) [(None, 1)] 0 __________________________________________________________________________________________________ max_pooling1d_7 (MaxPooling1D) (None, 32, 32) 0 leaky_re_lu[25][0] __________________________________________________________________________________________________ z_inx_dense (Dense) (None, 1024) 2048 input_3[0][0] __________________________________________________________________________________________________ reshape (Reshape) (None, 32, 32, 1) 0 max_pooling1d_7[0][0] __________________________________________________________________________________________________ tf.reshape_1 (TFOpLambda) (None, 32, 32, 1) 0 z_inx_dense[0][0] __________________________________________________________________________________________________ concatenate_4 (Concatenate) (None, 32, 32, 2) 0 reshape[0][0] tf.reshape_1[0][0] __________________________________________________________________________________________________ r2_conv2d_0 (Conv2D) (None, 32, 32, 32) 1632 concatenate_4[0][0] __________________________________________________________________________________________________ r2_conv2d_0_batchnorm (BatchNor (None, 32, 32, 32) 128 r2_conv2d_0[0][0] __________________________________________________________________________________________________ conv2d (Conv2D) (None, 32, 32, 32) 1056 leaky_re_lu[28][0] __________________________________________________________________________________________________ batch_normalization_5 (BatchNor (None, 32, 32, 32) 128 conv2d[0][0] __________________________________________________________________________________________________ conv2d_1 (Conv2D) (None, 32, 32, 32) 25632 leaky_re_lu[29][0] __________________________________________________________________________________________________ batch_normalization_6 (BatchNor (None, 32, 32, 32) 128 conv2d_1[0][0] __________________________________________________________________________________________________ conv2d_2 (Conv2D) (None, 32, 32, 32) 1056 leaky_re_lu[30][0] __________________________________________________________________________________________________ batch_normalization_7 (BatchNor (None, 32, 32, 32) 128 conv2d_2[0][0] __________________________________________________________________________________________________ add_7 (Add) (None, 32, 32, 32) 0 batch_normalization_7[0][0] leaky_re_lu[28][0] __________________________________________________________________________________________________ max_pooling2d (MaxPooling2D) (None, 16, 16, 32) 0 leaky_re_lu[31][0] __________________________________________________________________________________________________ conv2d_3 (Conv2D) (None, 16, 16, 32) 1056 max_pooling2d[0][0] __________________________________________________________________________________________________ batch_normalization_8 (BatchNor (None, 16, 16, 32) 128 conv2d_3[0][0] __________________________________________________________________________________________________ conv2d_4 (Conv2D) (None, 16, 16, 32) 9248 leaky_re_lu[32][0] __________________________________________________________________________________________________ batch_normalization_9 (BatchNor (None, 16, 16, 32) 128 conv2d_4[0][0] __________________________________________________________________________________________________ conv2d_5 (Conv2D) (None, 16, 16, 32) 1056 leaky_re_lu[33][0] __________________________________________________________________________________________________ batch_normalization_10 (BatchNo (None, 16, 16, 32) 128 conv2d_5[0][0] __________________________________________________________________________________________________ add_8 (Add) (None, 16, 16, 32) 0 batch_normalization_10[0][0] max_pooling2d[0][0] __________________________________________________________________________________________________ max_pooling2d_1 (MaxPooling2D) (None, 8, 8, 32) 0 leaky_re_lu[34][0] __________________________________________________________________________________________________ conv2d_6 (Conv2D) (None, 8, 8, 32) 1056 max_pooling2d_1[0][0] __________________________________________________________________________________________________ batch_normalization_11 (BatchNo (None, 8, 8, 32) 128 conv2d_6[0][0] __________________________________________________________________________________________________ conv2d_7 (Conv2D) (None, 8, 8, 32) 9248 leaky_re_lu[35][0] __________________________________________________________________________________________________ batch_normalization_12 (BatchNo (None, 8, 8, 32) 128 conv2d_7[0][0] __________________________________________________________________________________________________ conv2d_8 (Conv2D) (None, 8, 8, 32) 1056 leaky_re_lu[36][0] __________________________________________________________________________________________________ batch_normalization_13 (BatchNo (None, 8, 8, 32) 128 conv2d_8[0][0] __________________________________________________________________________________________________ add_9 (Add) (None, 8, 8, 32) 0 batch_normalization_13[0][0] max_pooling2d_1[0][0] __________________________________________________________________________________________________ max_pooling2d_2 (MaxPooling2D) (None, 4, 4, 32) 0 leaky_re_lu[37][0] __________________________________________________________________________________________________ flatten_2 (Flatten) (None, 512) 0 max_pooling2d_2[0][0] __________________________________________________________________________________________________ r2_dense_8 (Dense) (None, 1024) 525312 flatten_2[0][0] __________________________________________________________________________________________________ r2_dense_8_batchnorm (BatchNorm (None, 1024) 4096 r2_dense_8[0][0] __________________________________________________________________________________________________ TruncatedNormalMM_mean (Dense) (None, 36) 36900 leaky_re_lu[38][0] __________________________________________________________________________________________________ TruncatedNormalMM_logvar (Dense (None, 36) 36900 leaky_re_lu[38][0] __________________________________________________________________________________________________ TruncatedNormalMM_logweight (De (None, 36) 36900 leaky_re_lu[38][0] __________________________________________________________________________________________________ VonMisesMM_mean (Dense) (None, 32) 32800 leaky_re_lu[38][0] __________________________________________________________________________________________________ VonMisesMM_logvar (Dense) (None, 16) 16400 leaky_re_lu[38][0] __________________________________________________________________________________________________ VonMisesMM_logweight (Dense) (None, 16) 16400 leaky_re_lu[38][0] __________________________________________________________________________________________________ JointVonMisesFisherMM_mean (Den (None, 12) 12300 leaky_re_lu[38][0] __________________________________________________________________________________________________ JointVonMisesFisherMM_logvar (D (None, 4) 4100 leaky_re_lu[38][0] __________________________________________________________________________________________________ JointVonMisesFisherMM_logweight (None, 4) 4100 leaky_re_lu[38][0] __________________________________________________________________________________________________ concatenate_5 (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: 866,688 Trainable params: 862,336 Non-trainable params: 4,352 __________________________________________________________________________________________________