diff --git "a/fold_3/logs.models.fold_3.ENCSR930USX/logfile.modelling.fold_3.ENCSR930USX.stdout_v1.txt" "b/fold_3/logs.models.fold_3.ENCSR930USX/logfile.modelling.fold_3.ENCSR930USX.stdout_v1.txt"
new file mode 100644--- /dev/null
+++ "b/fold_3/logs.models.fold_3.ENCSR930USX/logfile.modelling.fold_3.ENCSR930USX.stdout_v1.txt"
@@ -0,0 +1,453 @@
+2023-01-18_20-41-35: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \
+       --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \
+       --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR930USX//preprocessing/bigWigs/ENCSR930USX.bigWig \
+       --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR930USX//preprocessing/downloads/peaks.bed.gz \
+       --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR930USX//negatives_data/negatives_with_summit.bed \
+       --outlier_threshold=0.99 \
+       --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \
+       --negative_sampling_ratio=0.1 \
+       --inputlen=2114 \
+       --outputlen=1000 \
+       --max_jitter=500 \
+       --filters=512 \
+       --n_dilation_layers=8 \
+       --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/ENCSR283TME/fold_3/bias.h5 \
+       --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3/ 
+evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr7', 'chr8', 'chr9', 'chr11', 'chr12', 'chr13', 'chr15', 'chr16', 'chr17', 'chr19', 'chrX', 'chrY', 'chr6', 'chr21']
+Number of peaks input:  123012
+Number of peaks filtered because the input/output is on the edge:  0
+Number of peaks being used:  123012
+Number of peaks input:  33345
+Number of peaks filtered because the input/output is on the edge:  0
+Number of peaks being used:  33345
+Number of non peaks input:  125478
+Number of non peaks filtered because the input/output is on the edge:  0
+Number of non peaks being used:  125478
+Number of non peaks input:  30878
+Number of non peaks filtered because the input/output is on the edge:  0
+Number of non peaks being used:  30878
+Number of peaks after removing outliers:  121658
+Number of nonpeaks after removing outliers:  105883
+got the model
+Model: "model"
+__________________________________________________________________________________________________
+Layer (type)                    Output Shape         Param #     Connected to                     
+==================================================================================================
+sequence (InputLayer)           [(None, 2114, 4)]    0                                            
+__________________________________________________________________________________________________
+bpnet_1st_conv (Conv1D)         (None, 2094, 128)    10880       sequence[0][0]                   
+__________________________________________________________________________________________________
+bpnet_1conv (Conv1D)            (None, 2090, 128)    49280       bpnet_1st_conv[0][0]             
+__________________________________________________________________________________________________
+bpnet_1crop (Cropping1D)        (None, 2090, 128)    0           bpnet_1st_conv[0][0]             
+__________________________________________________________________________________________________
+add (Add)                       (None, 2090, 128)    0           bpnet_1conv[0][0]                
+                                                                 bpnet_1crop[0][0]                
+__________________________________________________________________________________________________
+bpnet_2conv (Conv1D)            (None, 2082, 128)    49280       add[0][0]                        
+__________________________________________________________________________________________________
+bpnet_2crop (Cropping1D)        (None, 2082, 128)    0           add[0][0]                        
+__________________________________________________________________________________________________
+add_1 (Add)                     (None, 2082, 128)    0           bpnet_2conv[0][0]                
+                                                                 bpnet_2crop[0][0]                
+__________________________________________________________________________________________________
+bpnet_3conv (Conv1D)            (None, 2066, 128)    49280       add_1[0][0]                      
+__________________________________________________________________________________________________
+bpnet_3crop (Cropping1D)        (None, 2066, 128)    0           add_1[0][0]                      
+__________________________________________________________________________________________________
+add_2 (Add)                     (None, 2066, 128)    0           bpnet_3conv[0][0]                
+                                                                 bpnet_3crop[0][0]                
+__________________________________________________________________________________________________
+bpnet_4conv (Conv1D)            (None, 2034, 128)    49280       add_2[0][0]                      
+__________________________________________________________________________________________________
+bpnet_4crop (Cropping1D)        (None, 2034, 128)    0           add_2[0][0]                      
+__________________________________________________________________________________________________
+add_3 (Add)                     (None, 2034, 128)    0           bpnet_4conv[0][0]                
+                                                                 bpnet_4crop[0][0]                
+__________________________________________________________________________________________________
+prof_out_precrop (Conv1D)       (None, 1960, 1)      9601        add_3[0][0]                      
+__________________________________________________________________________________________________
+logits_profile_predictions_pref (None, 1000, 1)      0           prof_out_precrop[0][0]           
+__________________________________________________________________________________________________
+gap (GlobalAveragePooling1D)    (None, 128)          0           add_3[0][0]                      
+__________________________________________________________________________________________________
+logits_profile_predictions (Fla (None, 1000)         0           logits_profile_predictions_prefla
+__________________________________________________________________________________________________
+logcount_predictions (Dense)    (None, 1)            129         gap[0][0]                        
+==================================================================================================
+Total params: 217,730
+Trainable params: 217,730
+Non-trainable params: 0
+__________________________________________________________________________________________________
+Predicting within adjust counts
+
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+2023-01-18_20-46-02: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \
+       --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \
+       --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR930USX//preprocessing/bigWigs/ENCSR930USX.bigWig \
+       --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//filtered.peaks.bed \
+       --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//filtered.nonpeaks.bed \
+       --params=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//chrombpnet_model_params.tsv \
+       --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//chrombpnet \
+       --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \
+       --batch_size=64 \
+       --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \
+       --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss
+{'counts_loss_weight': '4.4', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json', 'negative_sampling_ratio': '0.1'}
+got the model
+loading peaks...
+got split:train for bed regions:(110903, 10)
+loading nonpeaks...
+got split:train for bed regions:(98300, 10)
+loading peaks...
+got split:valid for bed regions:(10755, 10)
+loading nonpeaks...
+got split:valid for bed regions:(7583, 10)
+Epoch 1/50
+
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1906/1907 [============================>.] - ETA: 0s - loss: 477.3789 - logits_profile_predictions_loss: 461.0619 - logcount_predictions_loss: 3.7084
1907/1907 [==============================] - ETA: 0s - loss: 477.3596 - logits_profile_predictions_loss: 461.0458 - logcount_predictions_loss: 3.7077
1907/1907 [==============================] - 325s 167ms/step - loss: 477.3404 - logits_profile_predictions_loss: 461.0296 - logcount_predictions_loss: 3.7070 - val_loss: 419.6791 - val_logits_profile_predictions_loss: 414.0540 - val_logcount_predictions_loss: 1.2784
+
+Epoch 00001: val_loss improved from inf to 419.67908, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3/chrombpnet.h5
+Epoch 2/50
+
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1907/1907 [==============================] - ETA: 0s - loss: 404.7841 - logits_profile_predictions_loss: 399.6720 - logcount_predictions_loss: 1.1618
1907/1907 [==============================] - 315s 165ms/step - loss: 404.7826 - logits_profile_predictions_loss: 399.6706 - logcount_predictions_loss: 1.1618 - val_loss: 404.5691 - val_logits_profile_predictions_loss: 400.3220 - val_logcount_predictions_loss: 0.9652
+
+Epoch 00002: val_loss improved from 419.67908 to 404.56909, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3/chrombpnet.h5
+Epoch 3/50
+
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1901/1907 [============================>.] - ETA: 0s - loss: 392.1306 - logits_profile_predictions_loss: 387.7396 - logcount_predictions_loss: 0.9979
1902/1907 [============================>.] - ETA: 0s - loss: 392.1300 - logits_profile_predictions_loss: 387.7390 - logcount_predictions_loss: 0.9979
1903/1907 [============================>.] - ETA: 0s - loss: 392.1294 - logits_profile_predictions_loss: 387.7385 - logcount_predictions_loss: 0.9979
1904/1907 [============================>.] - ETA: 0s - loss: 392.1289 - logits_profile_predictions_loss: 387.7380 - logcount_predictions_loss: 0.9979
1905/1907 [============================>.] - ETA: 0s - loss: 392.1284 - logits_profile_predictions_loss: 387.7375 - logcount_predictions_loss: 0.9979
1906/1907 [============================>.] - ETA: 0s - loss: 392.1278 - logits_profile_predictions_loss: 387.7370 - logcount_predictions_loss: 0.9979
1907/1907 [==============================] - ETA: 0s - loss: 392.1273 - logits_profile_predictions_loss: 387.7365 - logcount_predictions_loss: 0.9979
1907/1907 [==============================] - 315s 165ms/step - loss: 392.1268 - logits_profile_predictions_loss: 387.7360 - logcount_predictions_loss: 0.9979 - val_loss: 402.1987 - val_logits_profile_predictions_loss: 398.4280 - val_logcount_predictions_loss: 0.8570
+
+Epoch 00003: val_loss improved from 404.56909 to 402.19873, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3/chrombpnet.h5
+Epoch 4/50
+
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1898/1907 [============================>.] - ETA: 1s - loss: 384.8994 - logits_profile_predictions_loss: 380.8989 - logcount_predictions_loss: 0.9092
1899/1907 [============================>.] - ETA: 1s - loss: 384.8993 - logits_profile_predictions_loss: 380.8988 - logcount_predictions_loss: 0.9092
1900/1907 [============================>.] - ETA: 1s - loss: 384.8992 - logits_profile_predictions_loss: 380.8987 - logcount_predictions_loss: 0.9092
1901/1907 [============================>.] - ETA: 0s - loss: 384.8991 - logits_profile_predictions_loss: 380.8986 - logcount_predictions_loss: 0.9092
1902/1907 [============================>.] - ETA: 0s - loss: 384.8990 - logits_profile_predictions_loss: 380.8986 - logcount_predictions_loss: 0.9092
1903/1907 [============================>.] - ETA: 0s - loss: 384.8990 - logits_profile_predictions_loss: 380.8985 - logcount_predictions_loss: 0.9092
1904/1907 [============================>.] - ETA: 0s - loss: 384.8989 - logits_profile_predictions_loss: 380.8984 - logcount_predictions_loss: 0.9092
1905/1907 [============================>.] - ETA: 0s - loss: 384.8988 - logits_profile_predictions_loss: 380.8983 - logcount_predictions_loss: 0.9092
1906/1907 [============================>.] - ETA: 0s - loss: 384.8987 - logits_profile_predictions_loss: 380.8982 - logcount_predictions_loss: 0.9092
1907/1907 [==============================] - ETA: 0s - loss: 384.8987 - logits_profile_predictions_loss: 380.8982 - logcount_predictions_loss: 0.9092
1907/1907 [==============================] - 315s 165ms/step - loss: 384.8986 - logits_profile_predictions_loss: 380.8981 - logcount_predictions_loss: 0.9092 - val_loss: 398.7312 - val_logits_profile_predictions_loss: 395.1233 - val_logcount_predictions_loss: 0.8199
+
+Epoch 00004: val_loss improved from 402.19873 to 398.73120, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3/chrombpnet.h5
+Epoch 5/50
+
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1907/1907 [==============================] - 315s 165ms/step - loss: 380.6886 - logits_profile_predictions_loss: 376.8392 - logcount_predictions_loss: 0.8749 - val_loss: 400.6553 - val_logits_profile_predictions_loss: 397.1776 - val_logcount_predictions_loss: 0.7905
+
+Epoch 00005: val_loss did not improve from 398.73120
+Epoch 6/50
+
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1906/1907 [============================>.] - ETA: 0s - loss: 372.5354 - logits_profile_predictions_loss: 368.8787 - logcount_predictions_loss: 0.8311
1907/1907 [==============================] - ETA: 0s - loss: 372.5363 - logits_profile_predictions_loss: 368.8797 - logcount_predictions_loss: 0.8311
1907/1907 [==============================] - 315s 165ms/step - loss: 372.5373 - logits_profile_predictions_loss: 368.8806 - logcount_predictions_loss: 0.8311 - val_loss: 399.6700 - val_logits_profile_predictions_loss: 395.7430 - val_logcount_predictions_loss: 0.8925
+
+Epoch 00006: val_loss did not improve from 398.73120
+Epoch 7/50
+
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1907/1907 [==============================] - ETA: 0s - loss: 369.5149 - logits_profile_predictions_loss: 365.9710 - logcount_predictions_loss: 0.8054
1907/1907 [==============================] - 315s 165ms/step - loss: 369.5157 - logits_profile_predictions_loss: 365.9718 - logcount_predictions_loss: 0.8054 - val_loss: 396.2106 - val_logits_profile_predictions_loss: 392.8654 - val_logcount_predictions_loss: 0.7603
+
+Epoch 00007: val_loss improved from 398.73120 to 396.21057, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3/chrombpnet.h5
+Epoch 8/50
+
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1902/1907 [============================>.] - ETA: 0s - loss: 365.5827 - logits_profile_predictions_loss: 362.1598 - logcount_predictions_loss: 0.7779
1903/1907 [============================>.] - ETA: 0s - loss: 365.5842 - logits_profile_predictions_loss: 362.1613 - logcount_predictions_loss: 0.7779
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1906/1907 [============================>.] - ETA: 0s - loss: 365.5887 - logits_profile_predictions_loss: 362.1658 - logcount_predictions_loss: 0.7779
1907/1907 [==============================] - ETA: 0s - loss: 365.5902 - logits_profile_predictions_loss: 362.1673 - logcount_predictions_loss: 0.7779
1907/1907 [==============================] - 315s 165ms/step - loss: 365.5917 - logits_profile_predictions_loss: 362.1687 - logcount_predictions_loss: 0.7779 - val_loss: 400.7652 - val_logits_profile_predictions_loss: 396.4648 - val_logcount_predictions_loss: 0.9774
+
+Epoch 00008: val_loss did not improve from 396.21057
+Epoch 9/50
+
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1907/1907 [==============================] - ETA: 0s - loss: 365.7785 - logits_profile_predictions_loss: 362.3553 - logcount_predictions_loss: 0.7780
1907/1907 [==============================] - 314s 165ms/step - loss: 365.7785 - logits_profile_predictions_loss: 362.3554 - logcount_predictions_loss: 0.7780 - val_loss: 394.6721 - val_logits_profile_predictions_loss: 391.3903 - val_logcount_predictions_loss: 0.7459
+
+Epoch 00009: val_loss improved from 396.21057 to 394.67212, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3/chrombpnet.h5
+Epoch 10/50
+
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1892/1907 [============================>.] - ETA: 2s - loss: 363.0848 - logits_profile_predictions_loss: 359.7551 - logcount_predictions_loss: 0.7568
1893/1907 [============================>.] - ETA: 2s - loss: 363.0850 - logits_profile_predictions_loss: 359.7553 - logcount_predictions_loss: 0.7568
1894/1907 [============================>.] - ETA: 2s - loss: 363.0852 - logits_profile_predictions_loss: 359.7555 - logcount_predictions_loss: 0.7568
1895/1907 [============================>.] - ETA: 1s - loss: 363.0854 - logits_profile_predictions_loss: 359.7557 - logcount_predictions_loss: 0.7568
1896/1907 [============================>.] - ETA: 1s - loss: 363.0855 - logits_profile_predictions_loss: 359.7558 - logcount_predictions_loss: 0.7568
1897/1907 [============================>.] - ETA: 1s - loss: 363.0857 - logits_profile_predictions_loss: 359.7560 - logcount_predictions_loss: 0.7568
1898/1907 [============================>.] - ETA: 1s - loss: 363.0858 - logits_profile_predictions_loss: 359.7562 - logcount_predictions_loss: 0.7568
1899/1907 [============================>.] - ETA: 1s - loss: 363.0860 - logits_profile_predictions_loss: 359.7563 - logcount_predictions_loss: 0.7568
1900/1907 [============================>.] - ETA: 1s - loss: 363.0861 - logits_profile_predictions_loss: 359.7565 - logcount_predictions_loss: 0.7568
1901/1907 [============================>.] - ETA: 0s - loss: 363.0863 - logits_profile_predictions_loss: 359.7567 - logcount_predictions_loss: 0.7568
1902/1907 [============================>.] - ETA: 0s - loss: 363.0865 - logits_profile_predictions_loss: 359.7569 - logcount_predictions_loss: 0.7568
1903/1907 [============================>.] - ETA: 0s - loss: 363.0867 - logits_profile_predictions_loss: 359.7571 - logcount_predictions_loss: 0.7568
1904/1907 [============================>.] - ETA: 0s - loss: 363.0869 - logits_profile_predictions_loss: 359.7573 - logcount_predictions_loss: 0.7568
1905/1907 [============================>.] - ETA: 0s - loss: 363.0870 - logits_profile_predictions_loss: 359.7575 - logcount_predictions_loss: 0.7568
1906/1907 [============================>.] - ETA: 0s - loss: 363.0872 - logits_profile_predictions_loss: 359.7576 - logcount_predictions_loss: 0.7568
1907/1907 [==============================] - ETA: 0s - loss: 363.0873 - logits_profile_predictions_loss: 359.7578 - logcount_predictions_loss: 0.7568
1907/1907 [==============================] - 314s 165ms/step - loss: 363.0875 - logits_profile_predictions_loss: 359.7580 - logcount_predictions_loss: 0.7568 - val_loss: 398.9207 - val_logits_profile_predictions_loss: 395.7038 - val_logcount_predictions_loss: 0.7311
+
+Epoch 00010: val_loss did not improve from 394.67212
+Epoch 11/50
+
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1907/1907 [==============================] - ETA: 0s - loss: 360.6539 - logits_profile_predictions_loss: 357.4036 - logcount_predictions_loss: 0.7387
1907/1907 [==============================] - 314s 164ms/step - loss: 360.6545 - logits_profile_predictions_loss: 357.4042 - logcount_predictions_loss: 0.7387 - val_loss: 403.7792 - val_logits_profile_predictions_loss: 400.3292 - val_logcount_predictions_loss: 0.7841
+
+Epoch 00011: val_loss did not improve from 394.67212
+Epoch 12/50
+
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1907/1907 [==============================] - ETA: 0s - loss: 361.4286 - logits_profile_predictions_loss: 358.2701 - logcount_predictions_loss: 0.7179
1907/1907 [==============================] - 314s 164ms/step - loss: 361.4276 - logits_profile_predictions_loss: 358.2691 - logcount_predictions_loss: 0.7179 - val_loss: 401.2114 - val_logits_profile_predictions_loss: 397.9891 - val_logcount_predictions_loss: 0.7323
+
+Epoch 00012: val_loss did not improve from 394.67212
+Epoch 13/50
+
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1907/1907 [==============================] - ETA: 0s - loss: 353.6382 - logits_profile_predictions_loss: 350.7037 - logcount_predictions_loss: 0.6669
1907/1907 [==============================] - 314s 165ms/step - loss: 353.6367 - logits_profile_predictions_loss: 350.7022 - logcount_predictions_loss: 0.6669 - val_loss: 393.3154 - val_logits_profile_predictions_loss: 389.9459 - val_logcount_predictions_loss: 0.7657
+
+Epoch 00013: val_loss improved from 394.67212 to 393.31540, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3/chrombpnet.h5
+Epoch 14/50
+
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1902/1907 [============================>.] - ETA: 0s - loss: 346.5975 - logits_profile_predictions_loss: 343.7633 - logcount_predictions_loss: 0.6442
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1905/1907 [============================>.] - ETA: 0s - loss: 346.5952 - logits_profile_predictions_loss: 343.7610 - logcount_predictions_loss: 0.6442
1906/1907 [============================>.] - ETA: 0s - loss: 346.5944 - logits_profile_predictions_loss: 343.7602 - logcount_predictions_loss: 0.6442
1907/1907 [==============================] - ETA: 0s - loss: 346.5936 - logits_profile_predictions_loss: 343.7595 - logcount_predictions_loss: 0.6442
1907/1907 [==============================] - 315s 165ms/step - loss: 346.5929 - logits_profile_predictions_loss: 343.7587 - logcount_predictions_loss: 0.6442 - val_loss: 398.9965 - val_logits_profile_predictions_loss: 395.8510 - val_logcount_predictions_loss: 0.7149
+
+Epoch 00014: val_loss did not improve from 393.31540
+Epoch 15/50
+
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1899/1907 [============================>.] - ETA: 1s - loss: 340.4030 - logits_profile_predictions_loss: 337.6729 - logcount_predictions_loss: 0.6205
1900/1907 [============================>.] - ETA: 1s - loss: 340.4041 - logits_profile_predictions_loss: 337.6740 - logcount_predictions_loss: 0.6205
1901/1907 [============================>.] - ETA: 0s - loss: 340.4052 - logits_profile_predictions_loss: 337.6751 - logcount_predictions_loss: 0.6205
1902/1907 [============================>.] - ETA: 0s - loss: 340.4063 - logits_profile_predictions_loss: 337.6762 - logcount_predictions_loss: 0.6205
1903/1907 [============================>.] - ETA: 0s - loss: 340.4074 - logits_profile_predictions_loss: 337.6772 - logcount_predictions_loss: 0.6205
1904/1907 [============================>.] - ETA: 0s - loss: 340.4084 - logits_profile_predictions_loss: 337.6783 - logcount_predictions_loss: 0.6205
1905/1907 [============================>.] - ETA: 0s - loss: 340.4095 - logits_profile_predictions_loss: 337.6794 - logcount_predictions_loss: 0.6205
1906/1907 [============================>.] - ETA: 0s - loss: 340.4106 - logits_profile_predictions_loss: 337.6804 - logcount_predictions_loss: 0.6205
1907/1907 [==============================] - ETA: 0s - loss: 340.4117 - logits_profile_predictions_loss: 337.6815 - logcount_predictions_loss: 0.6205
1907/1907 [==============================] - 315s 165ms/step - loss: 340.4127 - logits_profile_predictions_loss: 337.6826 - logcount_predictions_loss: 0.6205 - val_loss: 395.4629 - val_logits_profile_predictions_loss: 392.3102 - val_logcount_predictions_loss: 0.7165
+
+Epoch 00015: val_loss did not improve from 393.31540
+Epoch 16/50
+
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1899/1907 [============================>.] - ETA: 1s - loss: 339.0732 - logits_profile_predictions_loss: 336.4130 - logcount_predictions_loss: 0.6046
1900/1907 [============================>.] - ETA: 1s - loss: 339.0732 - logits_profile_predictions_loss: 336.4130 - logcount_predictions_loss: 0.6046
1901/1907 [============================>.] - ETA: 0s - loss: 339.0732 - logits_profile_predictions_loss: 336.4130 - logcount_predictions_loss: 0.6046
1902/1907 [============================>.] - ETA: 0s - loss: 339.0733 - logits_profile_predictions_loss: 336.4131 - logcount_predictions_loss: 0.6046
1903/1907 [============================>.] - ETA: 0s - loss: 339.0734 - logits_profile_predictions_loss: 336.4132 - logcount_predictions_loss: 0.6046
1904/1907 [============================>.] - ETA: 0s - loss: 339.0734 - logits_profile_predictions_loss: 336.4132 - logcount_predictions_loss: 0.6046
1905/1907 [============================>.] - ETA: 0s - loss: 339.0735 - logits_profile_predictions_loss: 336.4132 - logcount_predictions_loss: 0.6046
1906/1907 [============================>.] - ETA: 0s - loss: 339.0735 - logits_profile_predictions_loss: 336.4133 - logcount_predictions_loss: 0.6046
1907/1907 [==============================] - ETA: 0s - loss: 339.0736 - logits_profile_predictions_loss: 336.4133 - logcount_predictions_loss: 0.6046
1907/1907 [==============================] - 315s 165ms/step - loss: 339.0736 - logits_profile_predictions_loss: 336.4133 - logcount_predictions_loss: 0.6046 - val_loss: 398.0210 - val_logits_profile_predictions_loss: 394.8756 - val_logcount_predictions_loss: 0.7148
+
+Epoch 00016: val_loss did not improve from 393.31540
+Epoch 17/50
+
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1907/1907 [==============================] - ETA: 0s - loss: 334.8211 - logits_profile_predictions_loss: 332.2195 - logcount_predictions_loss: 0.5913
1907/1907 [==============================] - 315s 165ms/step - loss: 334.8209 - logits_profile_predictions_loss: 332.2193 - logcount_predictions_loss: 0.5913 - val_loss: 397.6344 - val_logits_profile_predictions_loss: 394.4640 - val_logcount_predictions_loss: 0.7206
+
+Epoch 00017: val_loss did not improve from 393.31540
+Epoch 18/50
+
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1847/1907 [============================>.] - ETA: 9s - loss: 329.0135 - logits_profile_predictions_loss: 326.5035 - logcount_predictions_loss: 0.5704
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1849/1907 [============================>.] - ETA: 9s - loss: 329.0153 - logits_profile_predictions_loss: 326.5052 - logcount_predictions_loss: 0.5705
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1851/1907 [============================>.] - ETA: 8s - loss: 329.0170 - logits_profile_predictions_loss: 326.5070 - logcount_predictions_loss: 0.5705
1852/1907 [============================>.] - ETA: 8s - loss: 329.0179 - logits_profile_predictions_loss: 326.5078 - logcount_predictions_loss: 0.5705
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1857/1907 [============================>.] - ETA: 7s - loss: 329.0224 - logits_profile_predictions_loss: 326.5123 - logcount_predictions_loss: 0.5705
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1860/1907 [============================>.] - ETA: 7s - loss: 329.0250 - logits_profile_predictions_loss: 326.5149 - logcount_predictions_loss: 0.5705
1861/1907 [============================>.] - ETA: 7s - loss: 329.0259 - logits_profile_predictions_loss: 326.5158 - logcount_predictions_loss: 0.5705
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1863/1907 [============================>.] - ETA: 6s - loss: 329.0276 - logits_profile_predictions_loss: 326.5174 - logcount_predictions_loss: 0.5705
1864/1907 [============================>.] - ETA: 6s - loss: 329.0284 - logits_profile_predictions_loss: 326.5183 - logcount_predictions_loss: 0.5705
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1867/1907 [============================>.] - ETA: 6s - loss: 329.0309 - logits_profile_predictions_loss: 326.5208 - logcount_predictions_loss: 0.5705
1868/1907 [============================>.] - ETA: 6s - loss: 329.0318 - logits_profile_predictions_loss: 326.5216 - logcount_predictions_loss: 0.5705
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1871/1907 [============================>.] - ETA: 5s - loss: 329.0343 - logits_profile_predictions_loss: 326.5241 - logcount_predictions_loss: 0.5705
1872/1907 [============================>.] - ETA: 5s - loss: 329.0351 - logits_profile_predictions_loss: 326.5249 - logcount_predictions_loss: 0.5705
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1877/1907 [============================>.] - ETA: 4s - loss: 329.0392 - logits_profile_predictions_loss: 326.5290 - logcount_predictions_loss: 0.5705
1878/1907 [============================>.] - ETA: 4s - loss: 329.0401 - logits_profile_predictions_loss: 326.5298 - logcount_predictions_loss: 0.5705
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1881/1907 [============================>.] - ETA: 4s - loss: 329.0425 - logits_profile_predictions_loss: 326.5323 - logcount_predictions_loss: 0.5705
1882/1907 [============================>.] - ETA: 3s - loss: 329.0433 - logits_profile_predictions_loss: 326.5331 - logcount_predictions_loss: 0.5705
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1884/1907 [============================>.] - ETA: 3s - loss: 329.0450 - logits_profile_predictions_loss: 326.5347 - logcount_predictions_loss: 0.5705
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1901/1907 [============================>.] - ETA: 0s - loss: 329.0593 - logits_profile_predictions_loss: 326.5490 - logcount_predictions_loss: 0.5705
1902/1907 [============================>.] - ETA: 0s - loss: 329.0603 - logits_profile_predictions_loss: 326.5499 - logcount_predictions_loss: 0.5705
1903/1907 [============================>.] - ETA: 0s - loss: 329.0612 - logits_profile_predictions_loss: 326.5508 - logcount_predictions_loss: 0.5705
1904/1907 [============================>.] - ETA: 0s - loss: 329.0621 - logits_profile_predictions_loss: 326.5518 - logcount_predictions_loss: 0.5705
1905/1907 [============================>.] - ETA: 0s - loss: 329.0631 - logits_profile_predictions_loss: 326.5527 - logcount_predictions_loss: 0.5705
1906/1907 [============================>.] - ETA: 0s - loss: 329.0641 - logits_profile_predictions_loss: 326.5537 - logcount_predictions_loss: 0.5705
1907/1907 [==============================] - ETA: 0s - loss: 329.0651 - logits_profile_predictions_loss: 326.5547 - logcount_predictions_loss: 0.5705
1907/1907 [==============================] - 315s 165ms/step - loss: 329.0660 - logits_profile_predictions_loss: 326.5557 - logcount_predictions_loss: 0.5705 - val_loss: 398.6469 - val_logits_profile_predictions_loss: 395.4790 - val_logcount_predictions_loss: 0.7200
+
+Epoch 00018: val_loss did not improve from 393.31540
+Restoring model weights from the end of the best epoch.
+Epoch 00018: early stopping
+save model
+save model without bias
+2023-01-18_22-27-22: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \
+        --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \
+        --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR930USX//preprocessing/bigWigs/ENCSR930USX.bigWig \
+        --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//filtered.peaks.bed \
+        --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//filtered.nonpeaks.bed \
+        --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \
+        --inputlen=2114 \
+        --outputlen=1000 \
+        --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//chrombpnet \
+        --batch_size=256 \
+        --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//chrombpnet.h5
+got the model
+loading peaks...
+got split:test for bed regions:(33345, 10)
+loading nonpeaks...
+got split:test for bed regions:(30878, 10)
+0/251
+100/251
+200/251
+2023-01-18_22-30-35: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \
+        --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \
+        --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR930USX//preprocessing/bigWigs/ENCSR930USX.bigWig \
+        --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//filtered.peaks.bed \
+        --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//filtered.nonpeaks.bed \
+        --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \
+        --inputlen=2114 \
+        --outputlen=1000 \
+        --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//chrombpnet_wo_bias \
+        --batch_size=256 \
+        --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//chrombpnet_wo_bias.h5 
+got the model
+loading peaks...
+got split:test for bed regions:(33345, 10)
+loading nonpeaks...
+got split:test for bed regions:(30878, 10)
+0/251
+100/251
+200/251
+2023-01-18_22-33-30: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \
+        --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \
+        --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR930USX//preprocessing/bigWigs/ENCSR930USX.bigWig \
+        --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//filtered.peaks.bed \
+        --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//filtered.nonpeaks.bed \
+        --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \
+        --inputlen=2114 \
+        --outputlen=1000 \
+        --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//bias \
+        --batch_size=256 \
+        --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//bias_model_scaled.h5
+got the model
+loading peaks...
+got split:test for bed regions:(33345, 10)
+loading nonpeaks...
+got split:test for bed regions:(30878, 10)
+0/251
+100/251
+200/251
+2023-01-18_22-35-34: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//footprints
+2023-01-18_22-35-34: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \
+        -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \
+        -r /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//filtered.nonpeaks.bed \
+        -chr chr1 \
+        -m /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//chrombpnet_wo_bias.h5 \
+        -bs 512 \
+        -o /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//footprints/corrected \
+        -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \
+        -mo dnase_1,dnase_2
+    MOTIF_NAME            MOTIF_PWM_FWD
+0        tn5_1         GCACAGTACAGAGCTG
+1        tn5_2  GTGCACAGTTCTAGAGTGTGCAG
+2        tn5_3       CCTCTACACTGTGCAGAA
+3        tn5_4    GCACAGTTCTAGACTGTGCAG
+4        tn5_5    CTGCACAGTGTAGAGTTGTGC
+5      dnase_1             TTTACAAGTCCA
+6      dnase_2             TGTACTTACGAA
+7         NRF1               GCGCATGCGC
+8          AP1         CGATATGACTCATCCC
+9         CTCF    TTGGCCACTAGGGGGCGCTAT
+10         ETS     CCGAAAGCGGAAGTGAGAC 
+11         SP1        AAGGGGGCGGGGCCTAA
+12        RUNX          CCCTAACCACAGCCC
+13        NFKB      GCAAGGGAAATTCCCCAGG
+14    GATA+TAL  GGCTGGGGGGGGCAGATAAGGCC
+15         TAL                  GGCTGGG
+16        NFYB          CCAGCCAATCAGAGC
+17       GABPA         GAAACCGGAAGTGGCC
+18  BACH1+MAFK       AACTGCTGAGTCATCCCG
+19        NRF1      CCCCGCGCATGCGCAGTGC
+20       HNF4G     CCGTTGGACTTTGGACCCTG
+got the model
+Model: "model_1"
+__________________________________________________________________________________________________
+Layer (type)                    Output Shape         Param #     Connected to                     
+==================================================================================================
+sequence (InputLayer)           [(None, 2114, 4)]    0                                            
+__________________________________________________________________________________________________
+wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512)    43520       sequence[0][0]                   
+__________________________________________________________________________________________________
+wo_bias_bpnet_1conv (Conv1D)    (None, 2090, 512)    786944      wo_bias_bpnet_1st_conv[0][0]     
+__________________________________________________________________________________________________
+wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512)    0           wo_bias_bpnet_1st_conv[0][0]     
+__________________________________________________________________________________________________
+add (Add)                       (None, 2090, 512)    0           wo_bias_bpnet_1conv[0][0]        
+                                                                 wo_bias_bpnet_1crop[0][0]        
+__________________________________________________________________________________________________
+wo_bias_bpnet_2conv (Conv1D)    (None, 2082, 512)    786944      add[0][0]                        
+__________________________________________________________________________________________________
+wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512)    0           add[0][0]                        
+__________________________________________________________________________________________________
+add_1 (Add)                     (None, 2082, 512)    0           wo_bias_bpnet_2conv[0][0]        
+                                                                 wo_bias_bpnet_2crop[0][0]        
+__________________________________________________________________________________________________
+wo_bias_bpnet_3conv (Conv1D)    (None, 2066, 512)    786944      add_1[0][0]                      
+__________________________________________________________________________________________________
+wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512)    0           add_1[0][0]                      
+__________________________________________________________________________________________________
+add_2 (Add)                     (None, 2066, 512)    0           wo_bias_bpnet_3conv[0][0]        
+                                                                 wo_bias_bpnet_3crop[0][0]        
+__________________________________________________________________________________________________
+wo_bias_bpnet_4conv (Conv1D)    (None, 2034, 512)    786944      add_2[0][0]                      
+__________________________________________________________________________________________________
+wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512)    0           add_2[0][0]                      
+__________________________________________________________________________________________________
+add_3 (Add)                     (None, 2034, 512)    0           wo_bias_bpnet_4conv[0][0]        
+                                                                 wo_bias_bpnet_4crop[0][0]        
+__________________________________________________________________________________________________
+wo_bias_bpnet_5conv (Conv1D)    (None, 1970, 512)    786944      add_3[0][0]                      
+__________________________________________________________________________________________________
+wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512)    0           add_3[0][0]                      
+__________________________________________________________________________________________________
+add_4 (Add)                     (None, 1970, 512)    0           wo_bias_bpnet_5conv[0][0]        
+                                                                 wo_bias_bpnet_5crop[0][0]        
+__________________________________________________________________________________________________
+wo_bias_bpnet_6conv (Conv1D)    (None, 1842, 512)    786944      add_4[0][0]                      
+__________________________________________________________________________________________________
+wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512)    0           add_4[0][0]                      
+__________________________________________________________________________________________________
+add_5 (Add)                     (None, 1842, 512)    0           wo_bias_bpnet_6conv[0][0]        
+                                                                 wo_bias_bpnet_6crop[0][0]        
+__________________________________________________________________________________________________
+wo_bias_bpnet_7conv (Conv1D)    (None, 1586, 512)    786944      add_5[0][0]                      
+__________________________________________________________________________________________________
+wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512)    0           add_5[0][0]                      
+__________________________________________________________________________________________________
+add_6 (Add)                     (None, 1586, 512)    0           wo_bias_bpnet_7conv[0][0]        
+                                                                 wo_bias_bpnet_7crop[0][0]        
+__________________________________________________________________________________________________
+wo_bias_bpnet_8conv (Conv1D)    (None, 1074, 512)    786944      add_6[0][0]                      
+__________________________________________________________________________________________________
+wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512)    0           add_6[0][0]                      
+__________________________________________________________________________________________________
+add_7 (Add)                     (None, 1074, 512)    0           wo_bias_bpnet_8conv[0][0]        
+                                                                 wo_bias_bpnet_8crop[0][0]        
+__________________________________________________________________________________________________
+wo_bias_bpnet_prof_out_precrop  (None, 1000, 1)      38401       add_7[0][0]                      
+__________________________________________________________________________________________________
+wo_bias_bpnet_logitt_before_fla (None, 1000, 1)      0           wo_bias_bpnet_prof_out_precrop[0]
+__________________________________________________________________________________________________
+gap (GlobalAveragePooling1D)    (None, 512)          0           add_7[0][0]                      
+__________________________________________________________________________________________________
+wo_bias_bpnet_logits_profile_pr (None, 1000)         0           wo_bias_bpnet_logitt_before_flatt
+__________________________________________________________________________________________________
+wo_bias_bpnet_logcount_predicti (None, 1)            513         gap[0][0]                        
+==================================================================================================
+Total params: 6,377,986
+Trainable params: 6,377,986
+Non-trainable params: 0
+__________________________________________________________________________________________________
+inferred model inputlen:  2114
+inferred model outputlen:  1000
+inserting motif:  dnase_1
+TTTACAAGTCCA
+
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+
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29/29 [==============================] - 19s 692ms/step
+inserting motif:  dnase_2
+TGTACTTACGAA
+
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+
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29/29 [==============================] - 19s 696ms/step
+Saving marginal footprints
+2023-01-18_22-37-16: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//footprints
+2023-01-18_22-37-16: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \
+        -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \
+        -r /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//filtered.nonpeaks.bed \
+        -chr chr1 \
+        -m /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//bias_model_scaled.h5 \
+        -bs 512 \
+        -o /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR930USX//chrombppnet_model_encsr283tme_bias_fold_3//footprints/bias \
+        -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \
+        -mo dnase_1,dnase_2
+    MOTIF_NAME            MOTIF_PWM_FWD
+0        tn5_1         GCACAGTACAGAGCTG
+1        tn5_2  GTGCACAGTTCTAGAGTGTGCAG
+2        tn5_3       CCTCTACACTGTGCAGAA
+3        tn5_4    GCACAGTTCTAGACTGTGCAG
+4        tn5_5    CTGCACAGTGTAGAGTTGTGC
+5      dnase_1             TTTACAAGTCCA
+6      dnase_2             TGTACTTACGAA
+7         NRF1               GCGCATGCGC
+8          AP1         CGATATGACTCATCCC
+9         CTCF    TTGGCCACTAGGGGGCGCTAT
+10         ETS     CCGAAAGCGGAAGTGAGAC 
+11         SP1        AAGGGGGCGGGGCCTAA
+12        RUNX          CCCTAACCACAGCCC
+13        NFKB      GCAAGGGAAATTCCCCAGG
+14    GATA+TAL  GGCTGGGGGGGGCAGATAAGGCC
+15         TAL                  GGCTGGG
+16        NFYB          CCAGCCAATCAGAGC
+17       GABPA         GAAACCGGAAGTGGCC
+18  BACH1+MAFK       AACTGCTGAGTCATCCCG
+19        NRF1      CCCCGCGCATGCGCAGTGC
+20       HNF4G     CCGTTGGACTTTGGACCCTG
+got the model
+Model: "model"
+__________________________________________________________________________________________________
+Layer (type)                    Output Shape         Param #     Connected to                     
+==================================================================================================
+sequence (InputLayer)           [(None, 2114, 4)]    0                                            
+__________________________________________________________________________________________________
+bpnet_1st_conv (Conv1D)         (None, 2094, 128)    10880       sequence[0][0]                   
+__________________________________________________________________________________________________
+bpnet_1conv (Conv1D)            (None, 2090, 128)    49280       bpnet_1st_conv[0][0]             
+__________________________________________________________________________________________________
+bpnet_1crop (Cropping1D)        (None, 2090, 128)    0           bpnet_1st_conv[0][0]             
+__________________________________________________________________________________________________
+add (Add)                       (None, 2090, 128)    0           bpnet_1conv[0][0]                
+                                                                 bpnet_1crop[0][0]                
+__________________________________________________________________________________________________
+bpnet_2conv (Conv1D)            (None, 2082, 128)    49280       add[0][0]                        
+__________________________________________________________________________________________________
+bpnet_2crop (Cropping1D)        (None, 2082, 128)    0           add[0][0]                        
+__________________________________________________________________________________________________
+add_1 (Add)                     (None, 2082, 128)    0           bpnet_2conv[0][0]                
+                                                                 bpnet_2crop[0][0]                
+__________________________________________________________________________________________________
+bpnet_3conv (Conv1D)            (None, 2066, 128)    49280       add_1[0][0]                      
+__________________________________________________________________________________________________
+bpnet_3crop (Cropping1D)        (None, 2066, 128)    0           add_1[0][0]                      
+__________________________________________________________________________________________________
+add_2 (Add)                     (None, 2066, 128)    0           bpnet_3conv[0][0]                
+                                                                 bpnet_3crop[0][0]                
+__________________________________________________________________________________________________
+bpnet_4conv (Conv1D)            (None, 2034, 128)    49280       add_2[0][0]                      
+__________________________________________________________________________________________________
+bpnet_4crop (Cropping1D)        (None, 2034, 128)    0           add_2[0][0]                      
+__________________________________________________________________________________________________
+add_3 (Add)                     (None, 2034, 128)    0           bpnet_4conv[0][0]                
+                                                                 bpnet_4crop[0][0]                
+__________________________________________________________________________________________________
+prof_out_precrop (Conv1D)       (None, 1960, 1)      9601        add_3[0][0]                      
+__________________________________________________________________________________________________
+logits_profile_predictions_pref (None, 1000, 1)      0           prof_out_precrop[0][0]           
+__________________________________________________________________________________________________
+gap (GlobalAveragePooling1D)    (None, 128)          0           add_3[0][0]                      
+__________________________________________________________________________________________________
+logits_profile_predictions (Fla (None, 1000)         0           logits_profile_predictions_prefla
+__________________________________________________________________________________________________
+logcount_predictions (Dense)    (None, 1)            129         gap[0][0]                        
+==================================================================================================
+Total params: 217,730
+Trainable params: 217,730
+Non-trainable params: 0
+__________________________________________________________________________________________________
+inferred model inputlen:  2114
+inferred model outputlen:  1000
+inserting motif:  dnase_1
+TTTACAAGTCCA
+
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+
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+inserting motif:  dnase_2
+TGTACTTACGAA
+
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+
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+Saving marginal footprints