2020-04-22 09:06:08.097878: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2020-04-22 09:06:08.868547: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: name: Quadro P6000 major: 6 minor: 1 memoryClockRate(GHz): 1.645 pciBusID: 0000:3b:00.0 2020-04-22 09:06:08.868903: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0 2020-04-22 09:06:08.871102: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0 2020-04-22 09:06:08.872864: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0 2020-04-22 09:06:08.873304: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0 2020-04-22 09:06:08.875800: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0 2020-04-22 09:06:08.877684: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0 2020-04-22 09:06:08.883624: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-04-22 09:06:08.886898: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0 2020-04-22 09:06:10.518593: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2020-04-22 09:06:10.676813: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5d09470 executing computations on platform CUDA. Devices: 2020-04-22 09:06:10.676875: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Quadro P6000, Compute Capability 6.1 2020-04-22 09:06:10.699385: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1700000000 Hz 2020-04-22 09:06:10.700185: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5cbd580 executing computations on platform Host. Devices: 2020-04-22 09:06:10.700219: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): , 2020-04-22 09:06:10.701976: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: name: Quadro P6000 major: 6 minor: 1 memoryClockRate(GHz): 1.645 pciBusID: 0000:3b:00.0 2020-04-22 09:06:10.702102: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0 2020-04-22 09:06:10.702126: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0 2020-04-22 09:06:10.702150: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0 2020-04-22 09:06:10.702173: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0 2020-04-22 09:06:10.702192: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0 2020-04-22 09:06:10.702215: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0 2020-04-22 09:06:10.702238: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-04-22 09:06:10.705313: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0 2020-04-22 09:06:10.705363: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0 2020-04-22 09:06:10.708009: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix: 2020-04-22 09:06:10.708029: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0 2020-04-22 09:06:10.708040: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N 2020-04-22 09:06:10.712249: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 23068 MB memory) -> physical GPU (device: 0, name: Quadro P6000, pci bus id: 0000:3b:00.0, compute capability: 6.1) Start 2020-04-22 09:06:08.888366 Parameters: contact_or_dist_or_binned contact num_chains_for_training -1 file_weights contact.hdf5 training_window 256 training_epochs 8 arch_depth 128 filters_per_layer 64 pad_size 10 batch_size 2 dir_dataset ../../data/ Split into training and validation set.. Total validation proteins : 100 Total training proteins : 3356 Validation proteins: ['3aa0A', '5cs0A', '2z51A', '3q64A', '4p3aA', '1nkzA', '4d5tA', '1jogA', '4u89A', '3wisA', '1mkfA', '1kaeA', '4o8bA', '2gfqA', '4cmlA', '1vrmA', '4kwyA', '2yfaA', '1tnfA', '3pivA', '1nw1A', '4ng0A', '4qt9A', '3no4A', '3qd7X', '3o4pA', '3agnA', '2yilA', '4jivD', '4fz4A', '2g3vA', '2o0qA', '4levA', '1t6t1', '2fzpA', '1rj8A', '2z7fI', '1dx5I', '2gsoA', '4tshB', '3vtoA', '2p3yA', '3pcvA', '3kfoA', '3v6iB', '4htiA', '2q0tA', '4l3uA', '4pt1A', '3c1qA', '1ux5A', '1h9mA', '3oufA', '4rt5A', '3njcA', '2q73A', '1yz1A', '5c50B', '3hnxA', '1knyA', '1tr8A', '4qicB', '3f1iS', '2fyuI', '4ic9A', '3iruA', '2xu8A', '3g7lA', '3hshA', '1vq0A', '4z04A', '2huhA', '4dh2B', '2p9xA', '1m9zA', '2czrA', '2bh1X', '3ghfA', '4ui1C', '2otaA', '1vk1A', '1su1A', '3sfvB', '2f5tX', '1xyiA', '2okuA', '2h5nA', '1kptA', '2qc5A', '2hueC', '2i5vO', '2gs5A', '4lmoA', '4njcA', '3ronA', '3g1pA', '4m8aA', '3ajfA', '1j8uA', '4u65A'] len(train_generator) : 1678 len(valid_generator) : 50 Actual shape of X : (2, 256, 256, 57) Actual shape of Y : (2, 256, 256, 1) Channel summaries: Channel Avg Max Sum 1 0.0881 1.0000 5776.8 2 0.0881 1.0000 5776.8 3 0.1412 0.9971 9255.6 4 0.1412 0.9971 9255.6 5 0.0053 0.1790 349.7 6 0.0053 0.1790 349.7 7 0.0148 0.8262 972.7 8 0.0148 0.8262 972.7 9 0.0073 0.8042 477.9 10 0.0073 0.8042 477.9 11 0.0130 0.4890 849.9 12 0.0130 0.4890 849.9 13 0.0191 0.9673 1251.6 14 0.0191 0.9673 1251.6 15 0.0019 0.1740 126.7 16 0.0019 0.1740 126.7 17 0.0059 0.4348 384.2 18 0.0059 0.4348 384.2 19 0.0153 0.5542 999.6 20 0.0153 0.5542 999.6 21 0.0058 0.2771 380.2 22 0.0058 0.2771 380.2 23 0.0025 0.1631 165.8 24 0.0025 0.1631 165.8 25 0.0145 0.6577 949.7 26 0.0145 0.6577 949.7 27 0.0259 0.9673 1696.5 28 0.0259 0.9673 1696.5 29 0.0130 0.8911 849.2 30 0.0130 0.8911 849.2 31 0.0054 0.4021 354.5 32 0.0054 0.4021 354.5 33 0.0100 0.9238 655.8 34 0.0100 0.9238 655.8 35 0.0028 0.7393 182.0 36 0.0028 0.7393 182.0 37 0.0147 0.5815 963.9 38 0.0147 0.5815 963.9 39 0.0048 0.2119 314.1 40 0.0048 0.2119 314.1 41 0.0033 0.7393 217.7 42 0.0033 0.7393 217.7 43 0.0058 0.7280 380.8 44 0.0058 0.7280 380.8 45 0.0089 0.3750 582.3 46 0.0089 0.3750 582.3 47 0.0400 0.9673 2622.9 48 0.0400 0.9673 2622.9 49 0.3590 2.5293 23524.5 50 0.3590 2.5293 23524.5 51 0.0657 0.8931 4303.0 52 0.0657 0.8931 4303.0 53 0.1990 0.9546 13038.5 54 0.1990 0.9546 13038.5 55 0.0084 0.0927 550.1 56 0.0003 1.9990 21.3 57 -0.0011 0.6069 -72.2 Ymin = 0.00 Ymean = 0.02 Ymax = 1.00 Build a model.. Model params: L 256 num_blocks 128 width 64 expected_n_channels 57 Compile model.. Model: "model" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 256, 256, 57 0 __________________________________________________________________________________________________ batch_normalization (BatchNorma (None, 256, 256, 57) 228 input_1[0][0] __________________________________________________________________________________________________ activation (Activation) (None, 256, 256, 57) 0 batch_normalization[0][0] __________________________________________________________________________________________________ conv2d (Conv2D) (None, 256, 256, 64) 3712 activation[0][0] __________________________________________________________________________________________________ batch_normalization_1 (BatchNor (None, 256, 256, 64) 256 conv2d[0][0] __________________________________________________________________________________________________ activation_1 (Activation) (None, 256, 256, 64) 0 batch_normalization_1[0][0] __________________________________________________________________________________________________ conv2d_1 (Conv2D) (None, 256, 256, 64) 36928 activation_1[0][0] __________________________________________________________________________________________________ dropout (Dropout) (None, 256, 256, 64) 0 conv2d_1[0][0] __________________________________________________________________________________________________ activation_2 (Activation) (None, 256, 256, 64) 0 dropout[0][0] __________________________________________________________________________________________________ conv2d_2 (Conv2D) (None, 256, 256, 64) 36928 activation_2[0][0] __________________________________________________________________________________________________ add (Add) (None, 256, 256, 64) 0 conv2d_2[0][0] conv2d[0][0] __________________________________________________________________________________________________ batch_normalization_2 (BatchNor (None, 256, 256, 64) 256 add[0][0] __________________________________________________________________________________________________ activation_3 (Activation) (None, 256, 256, 64) 0 batch_normalization_2[0][0] __________________________________________________________________________________________________ conv2d_3 (Conv2D) (None, 256, 256, 64) 36928 activation_3[0][0] __________________________________________________________________________________________________ dropout_1 (Dropout) (None, 256, 256, 64) 0 conv2d_3[0][0] __________________________________________________________________________________________________ activation_4 (Activation) (None, 256, 256, 64) 0 dropout_1[0][0] __________________________________________________________________________________________________ conv2d_4 (Conv2D) (None, 256, 256, 64) 36928 activation_4[0][0] __________________________________________________________________________________________________ add_1 (Add) (None, 256, 256, 64) 0 conv2d_4[0][0] add[0][0] __________________________________________________________________________________________________ batch_normalization_3 (BatchNor (None, 256, 256, 64) 256 add_1[0][0] __________________________________________________________________________________________________ activation_5 (Activation) (None, 256, 256, 64) 0 batch_normalization_3[0][0] __________________________________________________________________________________________________ conv2d_5 (Conv2D) (None, 256, 256, 64) 36928 activation_5[0][0] __________________________________________________________________________________________________ dropout_2 (Dropout) (None, 256, 256, 64) 0 conv2d_5[0][0] __________________________________________________________________________________________________ activation_6 (Activation) (None, 256, 256, 64) 0 dropout_2[0][0] __________________________________________________________________________________________________ conv2d_6 (Conv2D) (None, 256, 256, 64) 36928 activation_6[0][0] __________________________________________________________________________________________________ add_2 (Add) (None, 256, 256, 64) 0 conv2d_6[0][0] add_1[0][0] __________________________________________________________________________________________________ batch_normalization_4 (BatchNor (None, 256, 256, 64) 256 add_2[0][0] __________________________________________________________________________________________________ activation_7 (Activation) (None, 256, 256, 64) 0 batch_normalization_4[0][0] __________________________________________________________________________________________________ conv2d_7 (Conv2D) (None, 256, 256, 64) 36928 activation_7[0][0] __________________________________________________________________________________________________ dropout_3 (Dropout) (None, 256, 256, 64) 0 conv2d_7[0][0] __________________________________________________________________________________________________ activation_8 (Activation) (None, 256, 256, 64) 0 dropout_3[0][0] __________________________________________________________________________________________________ conv2d_8 (Conv2D) (None, 256, 256, 64) 36928 activation_8[0][0] __________________________________________________________________________________________________ add_3 (Add) (None, 256, 256, 64) 0 conv2d_8[0][0] add_2[0][0] __________________________________________________________________________________________________ batch_normalization_5 (BatchNor (None, 256, 256, 64) 256 add_3[0][0] __________________________________________________________________________________________________ activation_9 (Activation) (None, 256, 256, 64) 0 batch_normalization_5[0][0] __________________________________________________________________________________________________ conv2d_9 (Conv2D) (None, 256, 256, 64) 36928 activation_9[0][0] __________________________________________________________________________________________________ dropout_4 (Dropout) (None, 256, 256, 64) 0 conv2d_9[0][0] __________________________________________________________________________________________________ activation_10 (Activation) (None, 256, 256, 64) 0 dropout_4[0][0] __________________________________________________________________________________________________ conv2d_10 (Conv2D) (None, 256, 256, 64) 36928 activation_10[0][0] __________________________________________________________________________________________________ add_4 (Add) (None, 256, 256, 64) 0 conv2d_10[0][0] add_3[0][0] __________________________________________________________________________________________________ batch_normalization_6 (BatchNor (None, 256, 256, 64) 256 add_4[0][0] __________________________________________________________________________________________________ activation_11 (Activation) (None, 256, 256, 64) 0 batch_normalization_6[0][0] __________________________________________________________________________________________________ conv2d_11 (Conv2D) (None, 256, 256, 64) 36928 activation_11[0][0] __________________________________________________________________________________________________ dropout_5 (Dropout) (None, 256, 256, 64) 0 conv2d_11[0][0] __________________________________________________________________________________________________ activation_12 (Activation) (None, 256, 256, 64) 0 dropout_5[0][0] __________________________________________________________________________________________________ conv2d_12 (Conv2D) (None, 256, 256, 64) 36928 activation_12[0][0] __________________________________________________________________________________________________ add_5 (Add) (None, 256, 256, 64) 0 conv2d_12[0][0] add_4[0][0] __________________________________________________________________________________________________ batch_normalization_7 (BatchNor (None, 256, 256, 64) 256 add_5[0][0] __________________________________________________________________________________________________ activation_13 (Activation) (None, 256, 256, 64) 0 batch_normalization_7[0][0] __________________________________________________________________________________________________ conv2d_13 (Conv2D) (None, 256, 256, 64) 36928 activation_13[0][0] __________________________________________________________________________________________________ dropout_6 (Dropout) (None, 256, 256, 64) 0 conv2d_13[0][0] __________________________________________________________________________________________________ activation_14 (Activation) (None, 256, 256, 64) 0 dropout_6[0][0] __________________________________________________________________________________________________ conv2d_14 (Conv2D) (None, 256, 256, 64) 36928 activation_14[0][0] __________________________________________________________________________________________________ add_6 (Add) (None, 256, 256, 64) 0 conv2d_14[0][0] add_5[0][0] __________________________________________________________________________________________________ batch_normalization_8 (BatchNor (None, 256, 256, 64) 256 add_6[0][0] __________________________________________________________________________________________________ activation_15 (Activation) (None, 256, 256, 64) 0 batch_normalization_8[0][0] __________________________________________________________________________________________________ conv2d_15 (Conv2D) (None, 256, 256, 64) 36928 activation_15[0][0] __________________________________________________________________________________________________ dropout_7 (Dropout) (None, 256, 256, 64) 0 conv2d_15[0][0] __________________________________________________________________________________________________ activation_16 (Activation) (None, 256, 256, 64) 0 dropout_7[0][0] __________________________________________________________________________________________________ conv2d_16 (Conv2D) (None, 256, 256, 64) 36928 activation_16[0][0] __________________________________________________________________________________________________ add_7 (Add) (None, 256, 256, 64) 0 conv2d_16[0][0] add_6[0][0] __________________________________________________________________________________________________ batch_normalization_9 (BatchNor (None, 256, 256, 64) 256 add_7[0][0] __________________________________________________________________________________________________ activation_17 (Activation) (None, 256, 256, 64) 0 batch_normalization_9[0][0] __________________________________________________________________________________________________ conv2d_17 (Conv2D) (None, 256, 256, 64) 36928 activation_17[0][0] __________________________________________________________________________________________________ dropout_8 (Dropout) (None, 256, 256, 64) 0 conv2d_17[0][0] __________________________________________________________________________________________________ activation_18 (Activation) (None, 256, 256, 64) 0 dropout_8[0][0] __________________________________________________________________________________________________ conv2d_18 (Conv2D) (None, 256, 256, 64) 36928 activation_18[0][0] __________________________________________________________________________________________________ add_8 (Add) (None, 256, 256, 64) 0 conv2d_18[0][0] add_7[0][0] __________________________________________________________________________________________________ batch_normalization_10 (BatchNo (None, 256, 256, 64) 256 add_8[0][0] __________________________________________________________________________________________________ activation_19 (Activation) (None, 256, 256, 64) 0 batch_normalization_10[0][0] __________________________________________________________________________________________________ conv2d_19 (Conv2D) (None, 256, 256, 64) 36928 activation_19[0][0] __________________________________________________________________________________________________ dropout_9 (Dropout) (None, 256, 256, 64) 0 conv2d_19[0][0] __________________________________________________________________________________________________ activation_20 (Activation) (None, 256, 256, 64) 0 dropout_9[0][0] __________________________________________________________________________________________________ conv2d_20 (Conv2D) (None, 256, 256, 64) 36928 activation_20[0][0] __________________________________________________________________________________________________ add_9 (Add) (None, 256, 256, 64) 0 conv2d_20[0][0] add_8[0][0] __________________________________________________________________________________________________ batch_normalization_11 (BatchNo (None, 256, 256, 64) 256 add_9[0][0] __________________________________________________________________________________________________ activation_21 (Activation) (None, 256, 256, 64) 0 batch_normalization_11[0][0] __________________________________________________________________________________________________ conv2d_21 (Conv2D) (None, 256, 256, 64) 36928 activation_21[0][0] __________________________________________________________________________________________________ dropout_10 (Dropout) (None, 256, 256, 64) 0 conv2d_21[0][0] __________________________________________________________________________________________________ activation_22 (Activation) (None, 256, 256, 64) 0 dropout_10[0][0] __________________________________________________________________________________________________ conv2d_22 (Conv2D) (None, 256, 256, 64) 36928 activation_22[0][0] __________________________________________________________________________________________________ add_10 (Add) (None, 256, 256, 64) 0 conv2d_22[0][0] add_9[0][0] __________________________________________________________________________________________________ batch_normalization_12 (BatchNo (None, 256, 256, 64) 256 add_10[0][0] __________________________________________________________________________________________________ activation_23 (Activation) (None, 256, 256, 64) 0 batch_normalization_12[0][0] __________________________________________________________________________________________________ conv2d_23 (Conv2D) (None, 256, 256, 64) 36928 activation_23[0][0] __________________________________________________________________________________________________ dropout_11 (Dropout) (None, 256, 256, 64) 0 conv2d_23[0][0] __________________________________________________________________________________________________ activation_24 (Activation) (None, 256, 256, 64) 0 dropout_11[0][0] __________________________________________________________________________________________________ conv2d_24 (Conv2D) (None, 256, 256, 64) 36928 activation_24[0][0] __________________________________________________________________________________________________ add_11 (Add) (None, 256, 256, 64) 0 conv2d_24[0][0] add_10[0][0] __________________________________________________________________________________________________ batch_normalization_13 (BatchNo (None, 256, 256, 64) 256 add_11[0][0] __________________________________________________________________________________________________ activation_25 (Activation) (None, 256, 256, 64) 0 batch_normalization_13[0][0] __________________________________________________________________________________________________ conv2d_25 (Conv2D) (None, 256, 256, 64) 36928 activation_25[0][0] __________________________________________________________________________________________________ dropout_12 (Dropout) (None, 256, 256, 64) 0 conv2d_25[0][0] __________________________________________________________________________________________________ activation_26 (Activation) (None, 256, 256, 64) 0 dropout_12[0][0] __________________________________________________________________________________________________ conv2d_26 (Conv2D) (None, 256, 256, 64) 36928 activation_26[0][0] __________________________________________________________________________________________________ add_12 (Add) (None, 256, 256, 64) 0 conv2d_26[0][0] add_11[0][0] __________________________________________________________________________________________________ batch_normalization_14 (BatchNo (None, 256, 256, 64) 256 add_12[0][0] __________________________________________________________________________________________________ activation_27 (Activation) (None, 256, 256, 64) 0 batch_normalization_14[0][0] __________________________________________________________________________________________________ conv2d_27 (Conv2D) (None, 256, 256, 64) 36928 activation_27[0][0] __________________________________________________________________________________________________ dropout_13 (Dropout) (None, 256, 256, 64) 0 conv2d_27[0][0] __________________________________________________________________________________________________ activation_28 (Activation) (None, 256, 256, 64) 0 dropout_13[0][0] __________________________________________________________________________________________________ conv2d_28 (Conv2D) (None, 256, 256, 64) 36928 activation_28[0][0] __________________________________________________________________________________________________ add_13 (Add) (None, 256, 256, 64) 0 conv2d_28[0][0] add_12[0][0] __________________________________________________________________________________________________ batch_normalization_15 (BatchNo (None, 256, 256, 64) 256 add_13[0][0] __________________________________________________________________________________________________ activation_29 (Activation) (None, 256, 256, 64) 0 batch_normalization_15[0][0] __________________________________________________________________________________________________ conv2d_29 (Conv2D) (None, 256, 256, 64) 36928 activation_29[0][0] __________________________________________________________________________________________________ dropout_14 (Dropout) (None, 256, 256, 64) 0 conv2d_29[0][0] __________________________________________________________________________________________________ activation_30 (Activation) (None, 256, 256, 64) 0 dropout_14[0][0] __________________________________________________________________________________________________ conv2d_30 (Conv2D) (None, 256, 256, 64) 36928 activation_30[0][0] __________________________________________________________________________________________________ add_14 (Add) (None, 256, 256, 64) 0 conv2d_30[0][0] add_13[0][0] __________________________________________________________________________________________________ batch_normalization_16 (BatchNo (None, 256, 256, 64) 256 add_14[0][0] __________________________________________________________________________________________________ activation_31 (Activation) (None, 256, 256, 64) 0 batch_normalization_16[0][0] __________________________________________________________________________________________________ conv2d_31 (Conv2D) (None, 256, 256, 64) 36928 activation_31[0][0] __________________________________________________________________________________________________ dropout_15 (Dropout) (None, 256, 256, 64) 0 conv2d_31[0][0] __________________________________________________________________________________________________ activation_32 (Activation) (None, 256, 256, 64) 0 dropout_15[0][0] __________________________________________________________________________________________________ conv2d_32 (Conv2D) (None, 256, 256, 64) 36928 activation_32[0][0] __________________________________________________________________________________________________ add_15 (Add) (None, 256, 256, 64) 0 conv2d_32[0][0] add_14[0][0] __________________________________________________________________________________________________ batch_normalization_17 (BatchNo (None, 256, 256, 64) 256 add_15[0][0] __________________________________________________________________________________________________ activation_33 (Activation) (None, 256, 256, 64) 0 batch_normalization_17[0][0] __________________________________________________________________________________________________ conv2d_33 (Conv2D) (None, 256, 256, 64) 36928 activation_33[0][0] __________________________________________________________________________________________________ dropout_16 (Dropout) (None, 256, 256, 64) 0 conv2d_33[0][0] __________________________________________________________________________________________________ activation_34 (Activation) (None, 256, 256, 64) 0 dropout_16[0][0] __________________________________________________________________________________________________ conv2d_34 (Conv2D) (None, 256, 256, 64) 36928 activation_34[0][0] __________________________________________________________________________________________________ add_16 (Add) (None, 256, 256, 64) 0 conv2d_34[0][0] add_15[0][0] __________________________________________________________________________________________________ batch_normalization_18 (BatchNo (None, 256, 256, 64) 256 add_16[0][0] __________________________________________________________________________________________________ activation_35 (Activation) (None, 256, 256, 64) 0 batch_normalization_18[0][0] __________________________________________________________________________________________________ conv2d_35 (Conv2D) (None, 256, 256, 64) 36928 activation_35[0][0] __________________________________________________________________________________________________ dropout_17 (Dropout) (None, 256, 256, 64) 0 conv2d_35[0][0] __________________________________________________________________________________________________ activation_36 (Activation) (None, 256, 256, 64) 0 dropout_17[0][0] __________________________________________________________________________________________________ conv2d_36 (Conv2D) (None, 256, 256, 64) 36928 activation_36[0][0] __________________________________________________________________________________________________ add_17 (Add) (None, 256, 256, 64) 0 conv2d_36[0][0] add_16[0][0] __________________________________________________________________________________________________ batch_normalization_19 (BatchNo (None, 256, 256, 64) 256 add_17[0][0] __________________________________________________________________________________________________ activation_37 (Activation) (None, 256, 256, 64) 0 batch_normalization_19[0][0] __________________________________________________________________________________________________ conv2d_37 (Conv2D) (None, 256, 256, 64) 36928 activation_37[0][0] __________________________________________________________________________________________________ dropout_18 (Dropout) (None, 256, 256, 64) 0 conv2d_37[0][0] __________________________________________________________________________________________________ activation_38 (Activation) (None, 256, 256, 64) 0 dropout_18[0][0] __________________________________________________________________________________________________ conv2d_38 (Conv2D) (None, 256, 256, 64) 36928 activation_38[0][0] __________________________________________________________________________________________________ add_18 (Add) (None, 256, 256, 64) 0 conv2d_38[0][0] add_17[0][0] __________________________________________________________________________________________________ batch_normalization_20 (BatchNo (None, 256, 256, 64) 256 add_18[0][0] __________________________________________________________________________________________________ activation_39 (Activation) (None, 256, 256, 64) 0 batch_normalization_20[0][0] __________________________________________________________________________________________________ conv2d_39 (Conv2D) (None, 256, 256, 64) 36928 activation_39[0][0] __________________________________________________________________________________________________ dropout_19 (Dropout) (None, 256, 256, 64) 0 conv2d_39[0][0] __________________________________________________________________________________________________ activation_40 (Activation) (None, 256, 256, 64) 0 dropout_19[0][0] __________________________________________________________________________________________________ conv2d_40 (Conv2D) (None, 256, 256, 64) 36928 activation_40[0][0] __________________________________________________________________________________________________ add_19 (Add) (None, 256, 256, 64) 0 conv2d_40[0][0] add_18[0][0] __________________________________________________________________________________________________ batch_normalization_21 (BatchNo (None, 256, 256, 64) 256 add_19[0][0] __________________________________________________________________________________________________ activation_41 (Activation) (None, 256, 256, 64) 0 batch_normalization_21[0][0] __________________________________________________________________________________________________ conv2d_41 (Conv2D) (None, 256, 256, 64) 36928 activation_41[0][0] __________________________________________________________________________________________________ dropout_20 (Dropout) (None, 256, 256, 64) 0 conv2d_41[0][0] __________________________________________________________________________________________________ activation_42 (Activation) (None, 256, 256, 64) 0 dropout_20[0][0] __________________________________________________________________________________________________ conv2d_42 (Conv2D) (None, 256, 256, 64) 36928 activation_42[0][0] __________________________________________________________________________________________________ add_20 (Add) (None, 256, 256, 64) 0 conv2d_42[0][0] add_19[0][0] __________________________________________________________________________________________________ batch_normalization_22 (BatchNo (None, 256, 256, 64) 256 add_20[0][0] __________________________________________________________________________________________________ activation_43 (Activation) (None, 256, 256, 64) 0 batch_normalization_22[0][0] __________________________________________________________________________________________________ conv2d_43 (Conv2D) (None, 256, 256, 64) 36928 activation_43[0][0] __________________________________________________________________________________________________ dropout_21 (Dropout) (None, 256, 256, 64) 0 conv2d_43[0][0] __________________________________________________________________________________________________ activation_44 (Activation) (None, 256, 256, 64) 0 dropout_21[0][0] __________________________________________________________________________________________________ conv2d_44 (Conv2D) (None, 256, 256, 64) 36928 activation_44[0][0] __________________________________________________________________________________________________ add_21 (Add) (None, 256, 256, 64) 0 conv2d_44[0][0] add_20[0][0] __________________________________________________________________________________________________ batch_normalization_23 (BatchNo (None, 256, 256, 64) 256 add_21[0][0] __________________________________________________________________________________________________ activation_45 (Activation) (None, 256, 256, 64) 0 batch_normalization_23[0][0] __________________________________________________________________________________________________ conv2d_45 (Conv2D) (None, 256, 256, 64) 36928 activation_45[0][0] __________________________________________________________________________________________________ dropout_22 (Dropout) (None, 256, 256, 64) 0 conv2d_45[0][0] __________________________________________________________________________________________________ activation_46 (Activation) (None, 256, 256, 64) 0 dropout_22[0][0] __________________________________________________________________________________________________ conv2d_46 (Conv2D) (None, 256, 256, 64) 36928 activation_46[0][0] __________________________________________________________________________________________________ add_22 (Add) (None, 256, 256, 64) 0 conv2d_46[0][0] add_21[0][0] __________________________________________________________________________________________________ batch_normalization_24 (BatchNo (None, 256, 256, 64) 256 add_22[0][0] __________________________________________________________________________________________________ activation_47 (Activation) (None, 256, 256, 64) 0 batch_normalization_24[0][0] __________________________________________________________________________________________________ conv2d_47 (Conv2D) (None, 256, 256, 64) 36928 activation_47[0][0] __________________________________________________________________________________________________ dropout_23 (Dropout) (None, 256, 256, 64) 0 conv2d_47[0][0] __________________________________________________________________________________________________ activation_48 (Activation) (None, 256, 256, 64) 0 dropout_23[0][0] __________________________________________________________________________________________________ conv2d_48 (Conv2D) (None, 256, 256, 64) 36928 activation_48[0][0] __________________________________________________________________________________________________ add_23 (Add) (None, 256, 256, 64) 0 conv2d_48[0][0] add_22[0][0] __________________________________________________________________________________________________ batch_normalization_25 (BatchNo (None, 256, 256, 64) 256 add_23[0][0] __________________________________________________________________________________________________ activation_49 (Activation) (None, 256, 256, 64) 0 batch_normalization_25[0][0] __________________________________________________________________________________________________ conv2d_49 (Conv2D) (None, 256, 256, 64) 36928 activation_49[0][0] __________________________________________________________________________________________________ dropout_24 (Dropout) (None, 256, 256, 64) 0 conv2d_49[0][0] __________________________________________________________________________________________________ activation_50 (Activation) (None, 256, 256, 64) 0 dropout_24[0][0] __________________________________________________________________________________________________ conv2d_50 (Conv2D) (None, 256, 256, 64) 36928 activation_50[0][0] __________________________________________________________________________________________________ add_24 (Add) (None, 256, 256, 64) 0 conv2d_50[0][0] add_23[0][0] __________________________________________________________________________________________________ batch_normalization_26 (BatchNo (None, 256, 256, 64) 256 add_24[0][0] __________________________________________________________________________________________________ activation_51 (Activation) (None, 256, 256, 64) 0 batch_normalization_26[0][0] __________________________________________________________________________________________________ conv2d_51 (Conv2D) (None, 256, 256, 64) 36928 activation_51[0][0] __________________________________________________________________________________________________ dropout_25 (Dropout) (None, 256, 256, 64) 0 conv2d_51[0][0] __________________________________________________________________________________________________ activation_52 (Activation) (None, 256, 256, 64) 0 dropout_25[0][0] __________________________________________________________________________________________________ conv2d_52 (Conv2D) (None, 256, 256, 64) 36928 activation_52[0][0] __________________________________________________________________________________________________ add_25 (Add) (None, 256, 256, 64) 0 conv2d_52[0][0] add_24[0][0] __________________________________________________________________________________________________ batch_normalization_27 (BatchNo (None, 256, 256, 64) 256 add_25[0][0] __________________________________________________________________________________________________ activation_53 (Activation) (None, 256, 256, 64) 0 batch_normalization_27[0][0] __________________________________________________________________________________________________ conv2d_53 (Conv2D) (None, 256, 256, 64) 36928 activation_53[0][0] __________________________________________________________________________________________________ dropout_26 (Dropout) (None, 256, 256, 64) 0 conv2d_53[0][0] __________________________________________________________________________________________________ activation_54 (Activation) (None, 256, 256, 64) 0 dropout_26[0][0] __________________________________________________________________________________________________ conv2d_54 (Conv2D) (None, 256, 256, 64) 36928 activation_54[0][0] __________________________________________________________________________________________________ add_26 (Add) (None, 256, 256, 64) 0 conv2d_54[0][0] add_25[0][0] __________________________________________________________________________________________________ batch_normalization_28 (BatchNo (None, 256, 256, 64) 256 add_26[0][0] __________________________________________________________________________________________________ activation_55 (Activation) (None, 256, 256, 64) 0 batch_normalization_28[0][0] __________________________________________________________________________________________________ conv2d_55 (Conv2D) (None, 256, 256, 64) 36928 activation_55[0][0] __________________________________________________________________________________________________ dropout_27 (Dropout) (None, 256, 256, 64) 0 conv2d_55[0][0] __________________________________________________________________________________________________ activation_56 (Activation) (None, 256, 256, 64) 0 dropout_27[0][0] __________________________________________________________________________________________________ conv2d_56 (Conv2D) (None, 256, 256, 64) 36928 activation_56[0][0] __________________________________________________________________________________________________ add_27 (Add) (None, 256, 256, 64) 0 conv2d_56[0][0] add_26[0][0] __________________________________________________________________________________________________ batch_normalization_29 (BatchNo (None, 256, 256, 64) 256 add_27[0][0] __________________________________________________________________________________________________ activation_57 (Activation) (None, 256, 256, 64) 0 batch_normalization_29[0][0] __________________________________________________________________________________________________ conv2d_57 (Conv2D) (None, 256, 256, 64) 36928 activation_57[0][0] __________________________________________________________________________________________________ dropout_28 (Dropout) (None, 256, 256, 64) 0 conv2d_57[0][0] __________________________________________________________________________________________________ activation_58 (Activation) (None, 256, 256, 64) 0 dropout_28[0][0] __________________________________________________________________________________________________ conv2d_58 (Conv2D) (None, 256, 256, 64) 36928 activation_58[0][0] __________________________________________________________________________________________________ add_28 (Add) (None, 256, 256, 64) 0 conv2d_58[0][0] add_27[0][0] __________________________________________________________________________________________________ batch_normalization_30 (BatchNo (None, 256, 256, 64) 256 add_28[0][0] __________________________________________________________________________________________________ activation_59 (Activation) (None, 256, 256, 64) 0 batch_normalization_30[0][0] __________________________________________________________________________________________________ conv2d_59 (Conv2D) (None, 256, 256, 64) 36928 activation_59[0][0] __________________________________________________________________________________________________ dropout_29 (Dropout) (None, 256, 256, 64) 0 conv2d_59[0][0] __________________________________________________________________________________________________ activation_60 (Activation) (None, 256, 256, 64) 0 dropout_29[0][0] __________________________________________________________________________________________________ conv2d_60 (Conv2D) (None, 256, 256, 64) 36928 activation_60[0][0] __________________________________________________________________________________________________ add_29 (Add) (None, 256, 256, 64) 0 conv2d_60[0][0] add_28[0][0] __________________________________________________________________________________________________ batch_normalization_31 (BatchNo (None, 256, 256, 64) 256 add_29[0][0] __________________________________________________________________________________________________ activation_61 (Activation) (None, 256, 256, 64) 0 batch_normalization_31[0][0] __________________________________________________________________________________________________ conv2d_61 (Conv2D) (None, 256, 256, 64) 36928 activation_61[0][0] __________________________________________________________________________________________________ dropout_30 (Dropout) (None, 256, 256, 64) 0 conv2d_61[0][0] __________________________________________________________________________________________________ activation_62 (Activation) (None, 256, 256, 64) 0 dropout_30[0][0] __________________________________________________________________________________________________ conv2d_62 (Conv2D) (None, 256, 256, 64) 36928 activation_62[0][0] __________________________________________________________________________________________________ add_30 (Add) (None, 256, 256, 64) 0 conv2d_62[0][0] add_29[0][0] __________________________________________________________________________________________________ batch_normalization_32 (BatchNo (None, 256, 256, 64) 256 add_30[0][0] __________________________________________________________________________________________________ activation_63 (Activation) (None, 256, 256, 64) 0 batch_normalization_32[0][0] __________________________________________________________________________________________________ conv2d_63 (Conv2D) (None, 256, 256, 64) 36928 activation_63[0][0] __________________________________________________________________________________________________ dropout_31 (Dropout) (None, 256, 256, 64) 0 conv2d_63[0][0] __________________________________________________________________________________________________ activation_64 (Activation) (None, 256, 256, 64) 0 dropout_31[0][0] __________________________________________________________________________________________________ conv2d_64 (Conv2D) (None, 256, 256, 64) 36928 activation_64[0][0] __________________________________________________________________________________________________ add_31 (Add) (None, 256, 256, 64) 0 conv2d_64[0][0] add_30[0][0] __________________________________________________________________________________________________ batch_normalization_33 (BatchNo (None, 256, 256, 64) 256 add_31[0][0] __________________________________________________________________________________________________ activation_65 (Activation) (None, 256, 256, 64) 0 batch_normalization_33[0][0] __________________________________________________________________________________________________ conv2d_65 (Conv2D) (None, 256, 256, 64) 36928 activation_65[0][0] __________________________________________________________________________________________________ dropout_32 (Dropout) (None, 256, 256, 64) 0 conv2d_65[0][0] __________________________________________________________________________________________________ activation_66 (Activation) (None, 256, 256, 64) 0 dropout_32[0][0] __________________________________________________________________________________________________ conv2d_66 (Conv2D) (None, 256, 256, 64) 36928 activation_66[0][0] __________________________________________________________________________________________________ add_32 (Add) (None, 256, 256, 64) 0 conv2d_66[0][0] add_31[0][0] __________________________________________________________________________________________________ batch_normalization_34 (BatchNo (None, 256, 256, 64) 256 add_32[0][0] __________________________________________________________________________________________________ activation_67 (Activation) (None, 256, 256, 64) 0 batch_normalization_34[0][0] __________________________________________________________________________________________________ conv2d_67 (Conv2D) (None, 256, 256, 64) 36928 activation_67[0][0] __________________________________________________________________________________________________ dropout_33 (Dropout) (None, 256, 256, 64) 0 conv2d_67[0][0] __________________________________________________________________________________________________ activation_68 (Activation) (None, 256, 256, 64) 0 dropout_33[0][0] __________________________________________________________________________________________________ conv2d_68 (Conv2D) (None, 256, 256, 64) 36928 activation_68[0][0] __________________________________________________________________________________________________ add_33 (Add) (None, 256, 256, 64) 0 conv2d_68[0][0] add_32[0][0] __________________________________________________________________________________________________ batch_normalization_35 (BatchNo (None, 256, 256, 64) 256 add_33[0][0] __________________________________________________________________________________________________ activation_69 (Activation) (None, 256, 256, 64) 0 batch_normalization_35[0][0] __________________________________________________________________________________________________ conv2d_69 (Conv2D) (None, 256, 256, 64) 36928 activation_69[0][0] __________________________________________________________________________________________________ dropout_34 (Dropout) (None, 256, 256, 64) 0 conv2d_69[0][0] __________________________________________________________________________________________________ activation_70 (Activation) (None, 256, 256, 64) 0 dropout_34[0][0] __________________________________________________________________________________________________ conv2d_70 (Conv2D) (None, 256, 256, 64) 36928 activation_70[0][0] __________________________________________________________________________________________________ add_34 (Add) (None, 256, 256, 64) 0 conv2d_70[0][0] add_33[0][0] __________________________________________________________________________________________________ batch_normalization_36 (BatchNo (None, 256, 256, 64) 256 add_34[0][0] __________________________________________________________________________________________________ activation_71 (Activation) (None, 256, 256, 64) 0 batch_normalization_36[0][0] __________________________________________________________________________________________________ conv2d_71 (Conv2D) (None, 256, 256, 64) 36928 activation_71[0][0] __________________________________________________________________________________________________ dropout_35 (Dropout) (None, 256, 256, 64) 0 conv2d_71[0][0] __________________________________________________________________________________________________ activation_72 (Activation) (None, 256, 256, 64) 0 dropout_35[0][0] __________________________________________________________________________________________________ conv2d_72 (Conv2D) (None, 256, 256, 64) 36928 activation_72[0][0] __________________________________________________________________________________________________ add_35 (Add) (None, 256, 256, 64) 0 conv2d_72[0][0] add_34[0][0] __________________________________________________________________________________________________ batch_normalization_37 (BatchNo (None, 256, 256, 64) 256 add_35[0][0] __________________________________________________________________________________________________ activation_73 (Activation) (None, 256, 256, 64) 0 batch_normalization_37[0][0] __________________________________________________________________________________________________ conv2d_73 (Conv2D) (None, 256, 256, 64) 36928 activation_73[0][0] __________________________________________________________________________________________________ dropout_36 (Dropout) (None, 256, 256, 64) 0 conv2d_73[0][0] __________________________________________________________________________________________________ activation_74 (Activation) (None, 256, 256, 64) 0 dropout_36[0][0] __________________________________________________________________________________________________ conv2d_74 (Conv2D) (None, 256, 256, 64) 36928 activation_74[0][0] __________________________________________________________________________________________________ add_36 (Add) (None, 256, 256, 64) 0 conv2d_74[0][0] add_35[0][0] __________________________________________________________________________________________________ batch_normalization_38 (BatchNo (None, 256, 256, 64) 256 add_36[0][0] __________________________________________________________________________________________________ activation_75 (Activation) (None, 256, 256, 64) 0 batch_normalization_38[0][0] __________________________________________________________________________________________________ conv2d_75 (Conv2D) (None, 256, 256, 64) 36928 activation_75[0][0] __________________________________________________________________________________________________ dropout_37 (Dropout) (None, 256, 256, 64) 0 conv2d_75[0][0] __________________________________________________________________________________________________ activation_76 (Activation) (None, 256, 256, 64) 0 dropout_37[0][0] __________________________________________________________________________________________________ conv2d_76 (Conv2D) (None, 256, 256, 64) 36928 activation_76[0][0] __________________________________________________________________________________________________ add_37 (Add) (None, 256, 256, 64) 0 conv2d_76[0][0] add_36[0][0] __________________________________________________________________________________________________ batch_normalization_39 (BatchNo (None, 256, 256, 64) 256 add_37[0][0] __________________________________________________________________________________________________ activation_77 (Activation) (None, 256, 256, 64) 0 batch_normalization_39[0][0] __________________________________________________________________________________________________ conv2d_77 (Conv2D) (None, 256, 256, 64) 36928 activation_77[0][0] __________________________________________________________________________________________________ dropout_38 (Dropout) (None, 256, 256, 64) 0 conv2d_77[0][0] __________________________________________________________________________________________________ activation_78 (Activation) (None, 256, 256, 64) 0 dropout_38[0][0] __________________________________________________________________________________________________ conv2d_78 (Conv2D) (None, 256, 256, 64) 36928 activation_78[0][0] __________________________________________________________________________________________________ add_38 (Add) (None, 256, 256, 64) 0 conv2d_78[0][0] add_37[0][0] __________________________________________________________________________________________________ batch_normalization_40 (BatchNo (None, 256, 256, 64) 256 add_38[0][0] __________________________________________________________________________________________________ activation_79 (Activation) (None, 256, 256, 64) 0 batch_normalization_40[0][0] __________________________________________________________________________________________________ conv2d_79 (Conv2D) (None, 256, 256, 64) 36928 activation_79[0][0] __________________________________________________________________________________________________ dropout_39 (Dropout) (None, 256, 256, 64) 0 conv2d_79[0][0] __________________________________________________________________________________________________ activation_80 (Activation) (None, 256, 256, 64) 0 dropout_39[0][0] __________________________________________________________________________________________________ conv2d_80 (Conv2D) (None, 256, 256, 64) 36928 activation_80[0][0] __________________________________________________________________________________________________ add_39 (Add) (None, 256, 256, 64) 0 conv2d_80[0][0] add_38[0][0] __________________________________________________________________________________________________ batch_normalization_41 (BatchNo (None, 256, 256, 64) 256 add_39[0][0] __________________________________________________________________________________________________ activation_81 (Activation) (None, 256, 256, 64) 0 batch_normalization_41[0][0] __________________________________________________________________________________________________ conv2d_81 (Conv2D) (None, 256, 256, 64) 36928 activation_81[0][0] __________________________________________________________________________________________________ dropout_40 (Dropout) (None, 256, 256, 64) 0 conv2d_81[0][0] __________________________________________________________________________________________________ activation_82 (Activation) (None, 256, 256, 64) 0 dropout_40[0][0] __________________________________________________________________________________________________ conv2d_82 (Conv2D) (None, 256, 256, 64) 36928 activation_82[0][0] __________________________________________________________________________________________________ add_40 (Add) (None, 256, 256, 64) 0 conv2d_82[0][0] add_39[0][0] __________________________________________________________________________________________________ batch_normalization_42 (BatchNo (None, 256, 256, 64) 256 add_40[0][0] __________________________________________________________________________________________________ activation_83 (Activation) (None, 256, 256, 64) 0 batch_normalization_42[0][0] __________________________________________________________________________________________________ conv2d_83 (Conv2D) (None, 256, 256, 64) 36928 activation_83[0][0] __________________________________________________________________________________________________ dropout_41 (Dropout) (None, 256, 256, 64) 0 conv2d_83[0][0] __________________________________________________________________________________________________ activation_84 (Activation) (None, 256, 256, 64) 0 dropout_41[0][0] __________________________________________________________________________________________________ conv2d_84 (Conv2D) (None, 256, 256, 64) 36928 activation_84[0][0] __________________________________________________________________________________________________ add_41 (Add) (None, 256, 256, 64) 0 conv2d_84[0][0] add_40[0][0] __________________________________________________________________________________________________ batch_normalization_43 (BatchNo (None, 256, 256, 64) 256 add_41[0][0] __________________________________________________________________________________________________ activation_85 (Activation) (None, 256, 256, 64) 0 batch_normalization_43[0][0] __________________________________________________________________________________________________ conv2d_85 (Conv2D) (None, 256, 256, 64) 36928 activation_85[0][0] __________________________________________________________________________________________________ dropout_42 (Dropout) (None, 256, 256, 64) 0 conv2d_85[0][0] __________________________________________________________________________________________________ activation_86 (Activation) (None, 256, 256, 64) 0 dropout_42[0][0] __________________________________________________________________________________________________ conv2d_86 (Conv2D) (None, 256, 256, 64) 36928 activation_86[0][0] __________________________________________________________________________________________________ add_42 (Add) (None, 256, 256, 64) 0 conv2d_86[0][0] add_41[0][0] __________________________________________________________________________________________________ batch_normalization_44 (BatchNo (None, 256, 256, 64) 256 add_42[0][0] __________________________________________________________________________________________________ activation_87 (Activation) (None, 256, 256, 64) 0 batch_normalization_44[0][0] __________________________________________________________________________________________________ conv2d_87 (Conv2D) (None, 256, 256, 64) 36928 activation_87[0][0] __________________________________________________________________________________________________ dropout_43 (Dropout) (None, 256, 256, 64) 0 conv2d_87[0][0] __________________________________________________________________________________________________ activation_88 (Activation) (None, 256, 256, 64) 0 dropout_43[0][0] __________________________________________________________________________________________________ conv2d_88 (Conv2D) (None, 256, 256, 64) 36928 activation_88[0][0] __________________________________________________________________________________________________ add_43 (Add) (None, 256, 256, 64) 0 conv2d_88[0][0] add_42[0][0] __________________________________________________________________________________________________ batch_normalization_45 (BatchNo (None, 256, 256, 64) 256 add_43[0][0] __________________________________________________________________________________________________ activation_89 (Activation) (None, 256, 256, 64) 0 batch_normalization_45[0][0] __________________________________________________________________________________________________ conv2d_89 (Conv2D) (None, 256, 256, 64) 36928 activation_89[0][0] __________________________________________________________________________________________________ dropout_44 (Dropout) (None, 256, 256, 64) 0 conv2d_89[0][0] __________________________________________________________________________________________________ activation_90 (Activation) (None, 256, 256, 64) 0 dropout_44[0][0] __________________________________________________________________________________________________ conv2d_90 (Conv2D) (None, 256, 256, 64) 36928 activation_90[0][0] __________________________________________________________________________________________________ add_44 (Add) (None, 256, 256, 64) 0 conv2d_90[0][0] add_43[0][0] __________________________________________________________________________________________________ batch_normalization_46 (BatchNo (None, 256, 256, 64) 256 add_44[0][0] __________________________________________________________________________________________________ activation_91 (Activation) (None, 256, 256, 64) 0 batch_normalization_46[0][0] __________________________________________________________________________________________________ conv2d_91 (Conv2D) (None, 256, 256, 64) 36928 activation_91[0][0] __________________________________________________________________________________________________ dropout_45 (Dropout) (None, 256, 256, 64) 0 conv2d_91[0][0] __________________________________________________________________________________________________ activation_92 (Activation) (None, 256, 256, 64) 0 dropout_45[0][0] __________________________________________________________________________________________________ conv2d_92 (Conv2D) (None, 256, 256, 64) 36928 activation_92[0][0] __________________________________________________________________________________________________ add_45 (Add) (None, 256, 256, 64) 0 conv2d_92[0][0] add_44[0][0] __________________________________________________________________________________________________ batch_normalization_47 (BatchNo (None, 256, 256, 64) 256 add_45[0][0] __________________________________________________________________________________________________ activation_93 (Activation) (None, 256, 256, 64) 0 batch_normalization_47[0][0] __________________________________________________________________________________________________ conv2d_93 (Conv2D) (None, 256, 256, 64) 36928 activation_93[0][0] __________________________________________________________________________________________________ dropout_46 (Dropout) (None, 256, 256, 64) 0 conv2d_93[0][0] __________________________________________________________________________________________________ activation_94 (Activation) (None, 256, 256, 64) 0 dropout_46[0][0] __________________________________________________________________________________________________ conv2d_94 (Conv2D) (None, 256, 256, 64) 36928 activation_94[0][0] __________________________________________________________________________________________________ add_46 (Add) (None, 256, 256, 64) 0 conv2d_94[0][0] add_45[0][0] __________________________________________________________________________________________________ batch_normalization_48 (BatchNo (None, 256, 256, 64) 256 add_46[0][0] __________________________________________________________________________________________________ activation_95 (Activation) (None, 256, 256, 64) 0 batch_normalization_48[0][0] __________________________________________________________________________________________________ conv2d_95 (Conv2D) (None, 256, 256, 64) 36928 activation_95[0][0] __________________________________________________________________________________________________ dropout_47 (Dropout) (None, 256, 256, 64) 0 conv2d_95[0][0] __________________________________________________________________________________________________ activation_96 (Activation) (None, 256, 256, 64) 0 dropout_47[0][0] __________________________________________________________________________________________________ conv2d_96 (Conv2D) (None, 256, 256, 64) 36928 activation_96[0][0] __________________________________________________________________________________________________ add_47 (Add) (None, 256, 256, 64) 0 conv2d_96[0][0] add_46[0][0] __________________________________________________________________________________________________ batch_normalization_49 (BatchNo (None, 256, 256, 64) 256 add_47[0][0] __________________________________________________________________________________________________ activation_97 (Activation) (None, 256, 256, 64) 0 batch_normalization_49[0][0] __________________________________________________________________________________________________ conv2d_97 (Conv2D) (None, 256, 256, 64) 36928 activation_97[0][0] __________________________________________________________________________________________________ dropout_48 (Dropout) (None, 256, 256, 64) 0 conv2d_97[0][0] __________________________________________________________________________________________________ activation_98 (Activation) (None, 256, 256, 64) 0 dropout_48[0][0] __________________________________________________________________________________________________ conv2d_98 (Conv2D) (None, 256, 256, 64) 36928 activation_98[0][0] __________________________________________________________________________________________________ add_48 (Add) (None, 256, 256, 64) 0 conv2d_98[0][0] add_47[0][0] __________________________________________________________________________________________________ batch_normalization_50 (BatchNo (None, 256, 256, 64) 256 add_48[0][0] __________________________________________________________________________________________________ activation_99 (Activation) (None, 256, 256, 64) 0 batch_normalization_50[0][0] __________________________________________________________________________________________________ conv2d_99 (Conv2D) (None, 256, 256, 64) 36928 activation_99[0][0] __________________________________________________________________________________________________ dropout_49 (Dropout) (None, 256, 256, 64) 0 conv2d_99[0][0] __________________________________________________________________________________________________ activation_100 (Activation) (None, 256, 256, 64) 0 dropout_49[0][0] __________________________________________________________________________________________________ conv2d_100 (Conv2D) (None, 256, 256, 64) 36928 activation_100[0][0] __________________________________________________________________________________________________ add_49 (Add) (None, 256, 256, 64) 0 conv2d_100[0][0] add_48[0][0] __________________________________________________________________________________________________ batch_normalization_51 (BatchNo (None, 256, 256, 64) 256 add_49[0][0] __________________________________________________________________________________________________ activation_101 (Activation) (None, 256, 256, 64) 0 batch_normalization_51[0][0] __________________________________________________________________________________________________ conv2d_101 (Conv2D) (None, 256, 256, 64) 36928 activation_101[0][0] __________________________________________________________________________________________________ dropout_50 (Dropout) (None, 256, 256, 64) 0 conv2d_101[0][0] __________________________________________________________________________________________________ activation_102 (Activation) (None, 256, 256, 64) 0 dropout_50[0][0] __________________________________________________________________________________________________ conv2d_102 (Conv2D) (None, 256, 256, 64) 36928 activation_102[0][0] __________________________________________________________________________________________________ add_50 (Add) (None, 256, 256, 64) 0 conv2d_102[0][0] add_49[0][0] __________________________________________________________________________________________________ batch_normalization_52 (BatchNo (None, 256, 256, 64) 256 add_50[0][0] __________________________________________________________________________________________________ activation_103 (Activation) (None, 256, 256, 64) 0 batch_normalization_52[0][0] __________________________________________________________________________________________________ conv2d_103 (Conv2D) (None, 256, 256, 64) 36928 activation_103[0][0] __________________________________________________________________________________________________ dropout_51 (Dropout) (None, 256, 256, 64) 0 conv2d_103[0][0] __________________________________________________________________________________________________ activation_104 (Activation) (None, 256, 256, 64) 0 dropout_51[0][0] __________________________________________________________________________________________________ conv2d_104 (Conv2D) (None, 256, 256, 64) 36928 activation_104[0][0] __________________________________________________________________________________________________ add_51 (Add) (None, 256, 256, 64) 0 conv2d_104[0][0] add_50[0][0] __________________________________________________________________________________________________ batch_normalization_53 (BatchNo (None, 256, 256, 64) 256 add_51[0][0] __________________________________________________________________________________________________ activation_105 (Activation) (None, 256, 256, 64) 0 batch_normalization_53[0][0] __________________________________________________________________________________________________ conv2d_105 (Conv2D) (None, 256, 256, 64) 36928 activation_105[0][0] __________________________________________________________________________________________________ dropout_52 (Dropout) (None, 256, 256, 64) 0 conv2d_105[0][0] __________________________________________________________________________________________________ activation_106 (Activation) (None, 256, 256, 64) 0 dropout_52[0][0] __________________________________________________________________________________________________ conv2d_106 (Conv2D) (None, 256, 256, 64) 36928 activation_106[0][0] __________________________________________________________________________________________________ add_52 (Add) (None, 256, 256, 64) 0 conv2d_106[0][0] add_51[0][0] __________________________________________________________________________________________________ batch_normalization_54 (BatchNo (None, 256, 256, 64) 256 add_52[0][0] __________________________________________________________________________________________________ activation_107 (Activation) (None, 256, 256, 64) 0 batch_normalization_54[0][0] __________________________________________________________________________________________________ conv2d_107 (Conv2D) (None, 256, 256, 64) 36928 activation_107[0][0] __________________________________________________________________________________________________ dropout_53 (Dropout) (None, 256, 256, 64) 0 conv2d_107[0][0] __________________________________________________________________________________________________ activation_108 (Activation) (None, 256, 256, 64) 0 dropout_53[0][0] __________________________________________________________________________________________________ conv2d_108 (Conv2D) (None, 256, 256, 64) 36928 activation_108[0][0] __________________________________________________________________________________________________ add_53 (Add) (None, 256, 256, 64) 0 conv2d_108[0][0] add_52[0][0] __________________________________________________________________________________________________ batch_normalization_55 (BatchNo (None, 256, 256, 64) 256 add_53[0][0] __________________________________________________________________________________________________ activation_109 (Activation) (None, 256, 256, 64) 0 batch_normalization_55[0][0] __________________________________________________________________________________________________ conv2d_109 (Conv2D) (None, 256, 256, 64) 36928 activation_109[0][0] __________________________________________________________________________________________________ dropout_54 (Dropout) (None, 256, 256, 64) 0 conv2d_109[0][0] __________________________________________________________________________________________________ activation_110 (Activation) (None, 256, 256, 64) 0 dropout_54[0][0] __________________________________________________________________________________________________ conv2d_110 (Conv2D) (None, 256, 256, 64) 36928 activation_110[0][0] __________________________________________________________________________________________________ add_54 (Add) (None, 256, 256, 64) 0 conv2d_110[0][0] add_53[0][0] __________________________________________________________________________________________________ batch_normalization_56 (BatchNo (None, 256, 256, 64) 256 add_54[0][0] __________________________________________________________________________________________________ activation_111 (Activation) (None, 256, 256, 64) 0 batch_normalization_56[0][0] __________________________________________________________________________________________________ conv2d_111 (Conv2D) (None, 256, 256, 64) 36928 activation_111[0][0] __________________________________________________________________________________________________ dropout_55 (Dropout) (None, 256, 256, 64) 0 conv2d_111[0][0] __________________________________________________________________________________________________ activation_112 (Activation) (None, 256, 256, 64) 0 dropout_55[0][0] __________________________________________________________________________________________________ conv2d_112 (Conv2D) (None, 256, 256, 64) 36928 activation_112[0][0] __________________________________________________________________________________________________ add_55 (Add) (None, 256, 256, 64) 0 conv2d_112[0][0] add_54[0][0] __________________________________________________________________________________________________ batch_normalization_57 (BatchNo (None, 256, 256, 64) 256 add_55[0][0] __________________________________________________________________________________________________ activation_113 (Activation) (None, 256, 256, 64) 0 batch_normalization_57[0][0] __________________________________________________________________________________________________ conv2d_113 (Conv2D) (None, 256, 256, 64) 36928 activation_113[0][0] __________________________________________________________________________________________________ dropout_56 (Dropout) (None, 256, 256, 64) 0 conv2d_113[0][0] __________________________________________________________________________________________________ activation_114 (Activation) (None, 256, 256, 64) 0 dropout_56[0][0] __________________________________________________________________________________________________ conv2d_114 (Conv2D) (None, 256, 256, 64) 36928 activation_114[0][0] __________________________________________________________________________________________________ add_56 (Add) (None, 256, 256, 64) 0 conv2d_114[0][0] add_55[0][0] __________________________________________________________________________________________________ batch_normalization_58 (BatchNo (None, 256, 256, 64) 256 add_56[0][0] __________________________________________________________________________________________________ activation_115 (Activation) (None, 256, 256, 64) 0 batch_normalization_58[0][0] __________________________________________________________________________________________________ conv2d_115 (Conv2D) (None, 256, 256, 64) 36928 activation_115[0][0] __________________________________________________________________________________________________ dropout_57 (Dropout) (None, 256, 256, 64) 0 conv2d_115[0][0] __________________________________________________________________________________________________ activation_116 (Activation) (None, 256, 256, 64) 0 dropout_57[0][0] __________________________________________________________________________________________________ conv2d_116 (Conv2D) (None, 256, 256, 64) 36928 activation_116[0][0] __________________________________________________________________________________________________ add_57 (Add) (None, 256, 256, 64) 0 conv2d_116[0][0] add_56[0][0] __________________________________________________________________________________________________ batch_normalization_59 (BatchNo (None, 256, 256, 64) 256 add_57[0][0] __________________________________________________________________________________________________ activation_117 (Activation) (None, 256, 256, 64) 0 batch_normalization_59[0][0] __________________________________________________________________________________________________ conv2d_117 (Conv2D) (None, 256, 256, 64) 36928 activation_117[0][0] __________________________________________________________________________________________________ dropout_58 (Dropout) (None, 256, 256, 64) 0 conv2d_117[0][0] __________________________________________________________________________________________________ activation_118 (Activation) (None, 256, 256, 64) 0 dropout_58[0][0] __________________________________________________________________________________________________ conv2d_118 (Conv2D) (None, 256, 256, 64) 36928 activation_118[0][0] __________________________________________________________________________________________________ add_58 (Add) (None, 256, 256, 64) 0 conv2d_118[0][0] add_57[0][0] __________________________________________________________________________________________________ batch_normalization_60 (BatchNo (None, 256, 256, 64) 256 add_58[0][0] __________________________________________________________________________________________________ activation_119 (Activation) (None, 256, 256, 64) 0 batch_normalization_60[0][0] __________________________________________________________________________________________________ conv2d_119 (Conv2D) (None, 256, 256, 64) 36928 activation_119[0][0] __________________________________________________________________________________________________ dropout_59 (Dropout) (None, 256, 256, 64) 0 conv2d_119[0][0] __________________________________________________________________________________________________ activation_120 (Activation) (None, 256, 256, 64) 0 dropout_59[0][0] __________________________________________________________________________________________________ conv2d_120 (Conv2D) (None, 256, 256, 64) 36928 activation_120[0][0] __________________________________________________________________________________________________ add_59 (Add) (None, 256, 256, 64) 0 conv2d_120[0][0] add_58[0][0] __________________________________________________________________________________________________ batch_normalization_61 (BatchNo (None, 256, 256, 64) 256 add_59[0][0] __________________________________________________________________________________________________ activation_121 (Activation) (None, 256, 256, 64) 0 batch_normalization_61[0][0] __________________________________________________________________________________________________ conv2d_121 (Conv2D) (None, 256, 256, 64) 36928 activation_121[0][0] __________________________________________________________________________________________________ dropout_60 (Dropout) (None, 256, 256, 64) 0 conv2d_121[0][0] __________________________________________________________________________________________________ activation_122 (Activation) (None, 256, 256, 64) 0 dropout_60[0][0] __________________________________________________________________________________________________ conv2d_122 (Conv2D) (None, 256, 256, 64) 36928 activation_122[0][0] __________________________________________________________________________________________________ add_60 (Add) (None, 256, 256, 64) 0 conv2d_122[0][0] add_59[0][0] __________________________________________________________________________________________________ batch_normalization_62 (BatchNo (None, 256, 256, 64) 256 add_60[0][0] __________________________________________________________________________________________________ activation_123 (Activation) (None, 256, 256, 64) 0 batch_normalization_62[0][0] __________________________________________________________________________________________________ conv2d_123 (Conv2D) (None, 256, 256, 64) 36928 activation_123[0][0] __________________________________________________________________________________________________ dropout_61 (Dropout) (None, 256, 256, 64) 0 conv2d_123[0][0] __________________________________________________________________________________________________ activation_124 (Activation) (None, 256, 256, 64) 0 dropout_61[0][0] __________________________________________________________________________________________________ conv2d_124 (Conv2D) (None, 256, 256, 64) 36928 activation_124[0][0] __________________________________________________________________________________________________ add_61 (Add) (None, 256, 256, 64) 0 conv2d_124[0][0] add_60[0][0] __________________________________________________________________________________________________ batch_normalization_63 (BatchNo (None, 256, 256, 64) 256 add_61[0][0] __________________________________________________________________________________________________ activation_125 (Activation) (None, 256, 256, 64) 0 batch_normalization_63[0][0] __________________________________________________________________________________________________ conv2d_125 (Conv2D) (None, 256, 256, 64) 36928 activation_125[0][0] __________________________________________________________________________________________________ dropout_62 (Dropout) (None, 256, 256, 64) 0 conv2d_125[0][0] __________________________________________________________________________________________________ activation_126 (Activation) (None, 256, 256, 64) 0 dropout_62[0][0] __________________________________________________________________________________________________ conv2d_126 (Conv2D) (None, 256, 256, 64) 36928 activation_126[0][0] __________________________________________________________________________________________________ add_62 (Add) (None, 256, 256, 64) 0 conv2d_126[0][0] add_61[0][0] __________________________________________________________________________________________________ batch_normalization_64 (BatchNo (None, 256, 256, 64) 256 add_62[0][0] __________________________________________________________________________________________________ activation_127 (Activation) (None, 256, 256, 64) 0 batch_normalization_64[0][0] __________________________________________________________________________________________________ conv2d_127 (Conv2D) (None, 256, 256, 64) 36928 activation_127[0][0] __________________________________________________________________________________________________ dropout_63 (Dropout) (None, 256, 256, 64) 0 conv2d_127[0][0] __________________________________________________________________________________________________ activation_128 (Activation) (None, 256, 256, 64) 0 dropout_63[0][0] __________________________________________________________________________________________________ conv2d_128 (Conv2D) (None, 256, 256, 64) 36928 activation_128[0][0] __________________________________________________________________________________________________ add_63 (Add) (None, 256, 256, 64) 0 conv2d_128[0][0] add_62[0][0] __________________________________________________________________________________________________ batch_normalization_65 (BatchNo (None, 256, 256, 64) 256 add_63[0][0] __________________________________________________________________________________________________ activation_129 (Activation) (None, 256, 256, 64) 0 batch_normalization_65[0][0] __________________________________________________________________________________________________ conv2d_129 (Conv2D) (None, 256, 256, 64) 36928 activation_129[0][0] __________________________________________________________________________________________________ dropout_64 (Dropout) (None, 256, 256, 64) 0 conv2d_129[0][0] __________________________________________________________________________________________________ activation_130 (Activation) (None, 256, 256, 64) 0 dropout_64[0][0] __________________________________________________________________________________________________ conv2d_130 (Conv2D) (None, 256, 256, 64) 36928 activation_130[0][0] __________________________________________________________________________________________________ add_64 (Add) (None, 256, 256, 64) 0 conv2d_130[0][0] add_63[0][0] __________________________________________________________________________________________________ batch_normalization_66 (BatchNo (None, 256, 256, 64) 256 add_64[0][0] __________________________________________________________________________________________________ activation_131 (Activation) (None, 256, 256, 64) 0 batch_normalization_66[0][0] __________________________________________________________________________________________________ conv2d_131 (Conv2D) (None, 256, 256, 64) 36928 activation_131[0][0] __________________________________________________________________________________________________ dropout_65 (Dropout) (None, 256, 256, 64) 0 conv2d_131[0][0] __________________________________________________________________________________________________ activation_132 (Activation) (None, 256, 256, 64) 0 dropout_65[0][0] __________________________________________________________________________________________________ conv2d_132 (Conv2D) (None, 256, 256, 64) 36928 activation_132[0][0] __________________________________________________________________________________________________ add_65 (Add) (None, 256, 256, 64) 0 conv2d_132[0][0] add_64[0][0] __________________________________________________________________________________________________ batch_normalization_67 (BatchNo (None, 256, 256, 64) 256 add_65[0][0] __________________________________________________________________________________________________ activation_133 (Activation) (None, 256, 256, 64) 0 batch_normalization_67[0][0] __________________________________________________________________________________________________ conv2d_133 (Conv2D) (None, 256, 256, 64) 36928 activation_133[0][0] __________________________________________________________________________________________________ dropout_66 (Dropout) (None, 256, 256, 64) 0 conv2d_133[0][0] __________________________________________________________________________________________________ activation_134 (Activation) (None, 256, 256, 64) 0 dropout_66[0][0] __________________________________________________________________________________________________ conv2d_134 (Conv2D) (None, 256, 256, 64) 36928 activation_134[0][0] __________________________________________________________________________________________________ add_66 (Add) (None, 256, 256, 64) 0 conv2d_134[0][0] add_65[0][0] __________________________________________________________________________________________________ batch_normalization_68 (BatchNo (None, 256, 256, 64) 256 add_66[0][0] __________________________________________________________________________________________________ activation_135 (Activation) (None, 256, 256, 64) 0 batch_normalization_68[0][0] __________________________________________________________________________________________________ conv2d_135 (Conv2D) (None, 256, 256, 64) 36928 activation_135[0][0] __________________________________________________________________________________________________ dropout_67 (Dropout) (None, 256, 256, 64) 0 conv2d_135[0][0] __________________________________________________________________________________________________ activation_136 (Activation) (None, 256, 256, 64) 0 dropout_67[0][0] __________________________________________________________________________________________________ conv2d_136 (Conv2D) (None, 256, 256, 64) 36928 activation_136[0][0] __________________________________________________________________________________________________ add_67 (Add) (None, 256, 256, 64) 0 conv2d_136[0][0] add_66[0][0] __________________________________________________________________________________________________ batch_normalization_69 (BatchNo (None, 256, 256, 64) 256 add_67[0][0] __________________________________________________________________________________________________ activation_137 (Activation) (None, 256, 256, 64) 0 batch_normalization_69[0][0] __________________________________________________________________________________________________ conv2d_137 (Conv2D) (None, 256, 256, 64) 36928 activation_137[0][0] __________________________________________________________________________________________________ dropout_68 (Dropout) (None, 256, 256, 64) 0 conv2d_137[0][0] __________________________________________________________________________________________________ activation_138 (Activation) (None, 256, 256, 64) 0 dropout_68[0][0] __________________________________________________________________________________________________ conv2d_138 (Conv2D) (None, 256, 256, 64) 36928 activation_138[0][0] __________________________________________________________________________________________________ add_68 (Add) (None, 256, 256, 64) 0 conv2d_138[0][0] add_67[0][0] __________________________________________________________________________________________________ batch_normalization_70 (BatchNo (None, 256, 256, 64) 256 add_68[0][0] __________________________________________________________________________________________________ activation_139 (Activation) (None, 256, 256, 64) 0 batch_normalization_70[0][0] __________________________________________________________________________________________________ conv2d_139 (Conv2D) (None, 256, 256, 64) 36928 activation_139[0][0] __________________________________________________________________________________________________ dropout_69 (Dropout) (None, 256, 256, 64) 0 conv2d_139[0][0] __________________________________________________________________________________________________ activation_140 (Activation) (None, 256, 256, 64) 0 dropout_69[0][0] __________________________________________________________________________________________________ conv2d_140 (Conv2D) (None, 256, 256, 64) 36928 activation_140[0][0] __________________________________________________________________________________________________ add_69 (Add) (None, 256, 256, 64) 0 conv2d_140[0][0] add_68[0][0] __________________________________________________________________________________________________ batch_normalization_71 (BatchNo (None, 256, 256, 64) 256 add_69[0][0] __________________________________________________________________________________________________ activation_141 (Activation) (None, 256, 256, 64) 0 batch_normalization_71[0][0] __________________________________________________________________________________________________ conv2d_141 (Conv2D) (None, 256, 256, 64) 36928 activation_141[0][0] __________________________________________________________________________________________________ dropout_70 (Dropout) (None, 256, 256, 64) 0 conv2d_141[0][0] __________________________________________________________________________________________________ activation_142 (Activation) (None, 256, 256, 64) 0 dropout_70[0][0] __________________________________________________________________________________________________ conv2d_142 (Conv2D) (None, 256, 256, 64) 36928 activation_142[0][0] __________________________________________________________________________________________________ add_70 (Add) (None, 256, 256, 64) 0 conv2d_142[0][0] add_69[0][0] __________________________________________________________________________________________________ batch_normalization_72 (BatchNo (None, 256, 256, 64) 256 add_70[0][0] __________________________________________________________________________________________________ activation_143 (Activation) (None, 256, 256, 64) 0 batch_normalization_72[0][0] __________________________________________________________________________________________________ conv2d_143 (Conv2D) (None, 256, 256, 64) 36928 activation_143[0][0] __________________________________________________________________________________________________ dropout_71 (Dropout) (None, 256, 256, 64) 0 conv2d_143[0][0] __________________________________________________________________________________________________ activation_144 (Activation) (None, 256, 256, 64) 0 dropout_71[0][0] __________________________________________________________________________________________________ conv2d_144 (Conv2D) (None, 256, 256, 64) 36928 activation_144[0][0] __________________________________________________________________________________________________ add_71 (Add) (None, 256, 256, 64) 0 conv2d_144[0][0] add_70[0][0] __________________________________________________________________________________________________ batch_normalization_73 (BatchNo (None, 256, 256, 64) 256 add_71[0][0] __________________________________________________________________________________________________ activation_145 (Activation) (None, 256, 256, 64) 0 batch_normalization_73[0][0] __________________________________________________________________________________________________ conv2d_145 (Conv2D) (None, 256, 256, 64) 36928 activation_145[0][0] __________________________________________________________________________________________________ dropout_72 (Dropout) (None, 256, 256, 64) 0 conv2d_145[0][0] __________________________________________________________________________________________________ activation_146 (Activation) (None, 256, 256, 64) 0 dropout_72[0][0] __________________________________________________________________________________________________ conv2d_146 (Conv2D) (None, 256, 256, 64) 36928 activation_146[0][0] __________________________________________________________________________________________________ add_72 (Add) (None, 256, 256, 64) 0 conv2d_146[0][0] add_71[0][0] __________________________________________________________________________________________________ batch_normalization_74 (BatchNo (None, 256, 256, 64) 256 add_72[0][0] __________________________________________________________________________________________________ activation_147 (Activation) (None, 256, 256, 64) 0 batch_normalization_74[0][0] __________________________________________________________________________________________________ conv2d_147 (Conv2D) (None, 256, 256, 64) 36928 activation_147[0][0] __________________________________________________________________________________________________ dropout_73 (Dropout) (None, 256, 256, 64) 0 conv2d_147[0][0] __________________________________________________________________________________________________ activation_148 (Activation) (None, 256, 256, 64) 0 dropout_73[0][0] __________________________________________________________________________________________________ conv2d_148 (Conv2D) (None, 256, 256, 64) 36928 activation_148[0][0] __________________________________________________________________________________________________ add_73 (Add) (None, 256, 256, 64) 0 conv2d_148[0][0] add_72[0][0] __________________________________________________________________________________________________ batch_normalization_75 (BatchNo (None, 256, 256, 64) 256 add_73[0][0] __________________________________________________________________________________________________ activation_149 (Activation) (None, 256, 256, 64) 0 batch_normalization_75[0][0] __________________________________________________________________________________________________ conv2d_149 (Conv2D) (None, 256, 256, 64) 36928 activation_149[0][0] __________________________________________________________________________________________________ dropout_74 (Dropout) (None, 256, 256, 64) 0 conv2d_149[0][0] __________________________________________________________________________________________________ activation_150 (Activation) (None, 256, 256, 64) 0 dropout_74[0][0] __________________________________________________________________________________________________ conv2d_150 (Conv2D) (None, 256, 256, 64) 36928 activation_150[0][0] __________________________________________________________________________________________________ add_74 (Add) (None, 256, 256, 64) 0 conv2d_150[0][0] add_73[0][0] __________________________________________________________________________________________________ batch_normalization_76 (BatchNo (None, 256, 256, 64) 256 add_74[0][0] __________________________________________________________________________________________________ activation_151 (Activation) (None, 256, 256, 64) 0 batch_normalization_76[0][0] __________________________________________________________________________________________________ conv2d_151 (Conv2D) (None, 256, 256, 64) 36928 activation_151[0][0] __________________________________________________________________________________________________ dropout_75 (Dropout) (None, 256, 256, 64) 0 conv2d_151[0][0] __________________________________________________________________________________________________ activation_152 (Activation) (None, 256, 256, 64) 0 dropout_75[0][0] __________________________________________________________________________________________________ conv2d_152 (Conv2D) (None, 256, 256, 64) 36928 activation_152[0][0] __________________________________________________________________________________________________ add_75 (Add) (None, 256, 256, 64) 0 conv2d_152[0][0] add_74[0][0] __________________________________________________________________________________________________ batch_normalization_77 (BatchNo (None, 256, 256, 64) 256 add_75[0][0] __________________________________________________________________________________________________ activation_153 (Activation) (None, 256, 256, 64) 0 batch_normalization_77[0][0] __________________________________________________________________________________________________ conv2d_153 (Conv2D) (None, 256, 256, 64) 36928 activation_153[0][0] __________________________________________________________________________________________________ dropout_76 (Dropout) (None, 256, 256, 64) 0 conv2d_153[0][0] __________________________________________________________________________________________________ activation_154 (Activation) (None, 256, 256, 64) 0 dropout_76[0][0] __________________________________________________________________________________________________ conv2d_154 (Conv2D) (None, 256, 256, 64) 36928 activation_154[0][0] __________________________________________________________________________________________________ add_76 (Add) (None, 256, 256, 64) 0 conv2d_154[0][0] add_75[0][0] __________________________________________________________________________________________________ batch_normalization_78 (BatchNo (None, 256, 256, 64) 256 add_76[0][0] __________________________________________________________________________________________________ activation_155 (Activation) (None, 256, 256, 64) 0 batch_normalization_78[0][0] __________________________________________________________________________________________________ conv2d_155 (Conv2D) (None, 256, 256, 64) 36928 activation_155[0][0] __________________________________________________________________________________________________ dropout_77 (Dropout) (None, 256, 256, 64) 0 conv2d_155[0][0] __________________________________________________________________________________________________ activation_156 (Activation) (None, 256, 256, 64) 0 dropout_77[0][0] __________________________________________________________________________________________________ conv2d_156 (Conv2D) (None, 256, 256, 64) 36928 activation_156[0][0] __________________________________________________________________________________________________ add_77 (Add) (None, 256, 256, 64) 0 conv2d_156[0][0] add_76[0][0] __________________________________________________________________________________________________ batch_normalization_79 (BatchNo (None, 256, 256, 64) 256 add_77[0][0] __________________________________________________________________________________________________ activation_157 (Activation) (None, 256, 256, 64) 0 batch_normalization_79[0][0] __________________________________________________________________________________________________ conv2d_157 (Conv2D) (None, 256, 256, 64) 36928 activation_157[0][0] __________________________________________________________________________________________________ dropout_78 (Dropout) (None, 256, 256, 64) 0 conv2d_157[0][0] __________________________________________________________________________________________________ activation_158 (Activation) (None, 256, 256, 64) 0 dropout_78[0][0] __________________________________________________________________________________________________ conv2d_158 (Conv2D) (None, 256, 256, 64) 36928 activation_158[0][0] __________________________________________________________________________________________________ add_78 (Add) (None, 256, 256, 64) 0 conv2d_158[0][0] add_77[0][0] __________________________________________________________________________________________________ batch_normalization_80 (BatchNo (None, 256, 256, 64) 256 add_78[0][0] __________________________________________________________________________________________________ activation_159 (Activation) (None, 256, 256, 64) 0 batch_normalization_80[0][0] __________________________________________________________________________________________________ conv2d_159 (Conv2D) (None, 256, 256, 64) 36928 activation_159[0][0] __________________________________________________________________________________________________ dropout_79 (Dropout) (None, 256, 256, 64) 0 conv2d_159[0][0] __________________________________________________________________________________________________ activation_160 (Activation) (None, 256, 256, 64) 0 dropout_79[0][0] __________________________________________________________________________________________________ conv2d_160 (Conv2D) (None, 256, 256, 64) 36928 activation_160[0][0] __________________________________________________________________________________________________ add_79 (Add) (None, 256, 256, 64) 0 conv2d_160[0][0] add_78[0][0] __________________________________________________________________________________________________ batch_normalization_81 (BatchNo (None, 256, 256, 64) 256 add_79[0][0] __________________________________________________________________________________________________ activation_161 (Activation) (None, 256, 256, 64) 0 batch_normalization_81[0][0] __________________________________________________________________________________________________ conv2d_161 (Conv2D) (None, 256, 256, 64) 36928 activation_161[0][0] __________________________________________________________________________________________________ dropout_80 (Dropout) (None, 256, 256, 64) 0 conv2d_161[0][0] __________________________________________________________________________________________________ activation_162 (Activation) (None, 256, 256, 64) 0 dropout_80[0][0] __________________________________________________________________________________________________ conv2d_162 (Conv2D) (None, 256, 256, 64) 36928 activation_162[0][0] __________________________________________________________________________________________________ add_80 (Add) (None, 256, 256, 64) 0 conv2d_162[0][0] add_79[0][0] __________________________________________________________________________________________________ batch_normalization_82 (BatchNo (None, 256, 256, 64) 256 add_80[0][0] __________________________________________________________________________________________________ activation_163 (Activation) (None, 256, 256, 64) 0 batch_normalization_82[0][0] __________________________________________________________________________________________________ conv2d_163 (Conv2D) (None, 256, 256, 64) 36928 activation_163[0][0] __________________________________________________________________________________________________ dropout_81 (Dropout) (None, 256, 256, 64) 0 conv2d_163[0][0] __________________________________________________________________________________________________ activation_164 (Activation) (None, 256, 256, 64) 0 dropout_81[0][0] __________________________________________________________________________________________________ conv2d_164 (Conv2D) (None, 256, 256, 64) 36928 activation_164[0][0] __________________________________________________________________________________________________ add_81 (Add) (None, 256, 256, 64) 0 conv2d_164[0][0] add_80[0][0] __________________________________________________________________________________________________ batch_normalization_83 (BatchNo (None, 256, 256, 64) 256 add_81[0][0] __________________________________________________________________________________________________ activation_165 (Activation) (None, 256, 256, 64) 0 batch_normalization_83[0][0] __________________________________________________________________________________________________ conv2d_165 (Conv2D) (None, 256, 256, 64) 36928 activation_165[0][0] __________________________________________________________________________________________________ dropout_82 (Dropout) (None, 256, 256, 64) 0 conv2d_165[0][0] __________________________________________________________________________________________________ activation_166 (Activation) (None, 256, 256, 64) 0 dropout_82[0][0] __________________________________________________________________________________________________ conv2d_166 (Conv2D) (None, 256, 256, 64) 36928 activation_166[0][0] __________________________________________________________________________________________________ add_82 (Add) (None, 256, 256, 64) 0 conv2d_166[0][0] add_81[0][0] __________________________________________________________________________________________________ batch_normalization_84 (BatchNo (None, 256, 256, 64) 256 add_82[0][0] __________________________________________________________________________________________________ activation_167 (Activation) (None, 256, 256, 64) 0 batch_normalization_84[0][0] __________________________________________________________________________________________________ conv2d_167 (Conv2D) (None, 256, 256, 64) 36928 activation_167[0][0] __________________________________________________________________________________________________ dropout_83 (Dropout) (None, 256, 256, 64) 0 conv2d_167[0][0] __________________________________________________________________________________________________ activation_168 (Activation) (None, 256, 256, 64) 0 dropout_83[0][0] __________________________________________________________________________________________________ conv2d_168 (Conv2D) (None, 256, 256, 64) 36928 activation_168[0][0] __________________________________________________________________________________________________ add_83 (Add) (None, 256, 256, 64) 0 conv2d_168[0][0] add_82[0][0] __________________________________________________________________________________________________ batch_normalization_85 (BatchNo (None, 256, 256, 64) 256 add_83[0][0] __________________________________________________________________________________________________ activation_169 (Activation) (None, 256, 256, 64) 0 batch_normalization_85[0][0] __________________________________________________________________________________________________ conv2d_169 (Conv2D) (None, 256, 256, 64) 36928 activation_169[0][0] __________________________________________________________________________________________________ dropout_84 (Dropout) (None, 256, 256, 64) 0 conv2d_169[0][0] __________________________________________________________________________________________________ activation_170 (Activation) (None, 256, 256, 64) 0 dropout_84[0][0] __________________________________________________________________________________________________ conv2d_170 (Conv2D) (None, 256, 256, 64) 36928 activation_170[0][0] __________________________________________________________________________________________________ add_84 (Add) (None, 256, 256, 64) 0 conv2d_170[0][0] add_83[0][0] __________________________________________________________________________________________________ batch_normalization_86 (BatchNo (None, 256, 256, 64) 256 add_84[0][0] __________________________________________________________________________________________________ activation_171 (Activation) (None, 256, 256, 64) 0 batch_normalization_86[0][0] __________________________________________________________________________________________________ conv2d_171 (Conv2D) (None, 256, 256, 64) 36928 activation_171[0][0] __________________________________________________________________________________________________ dropout_85 (Dropout) (None, 256, 256, 64) 0 conv2d_171[0][0] __________________________________________________________________________________________________ activation_172 (Activation) (None, 256, 256, 64) 0 dropout_85[0][0] __________________________________________________________________________________________________ conv2d_172 (Conv2D) (None, 256, 256, 64) 36928 activation_172[0][0] __________________________________________________________________________________________________ add_85 (Add) (None, 256, 256, 64) 0 conv2d_172[0][0] add_84[0][0] __________________________________________________________________________________________________ batch_normalization_87 (BatchNo (None, 256, 256, 64) 256 add_85[0][0] __________________________________________________________________________________________________ activation_173 (Activation) (None, 256, 256, 64) 0 batch_normalization_87[0][0] __________________________________________________________________________________________________ conv2d_173 (Conv2D) (None, 256, 256, 64) 36928 activation_173[0][0] __________________________________________________________________________________________________ dropout_86 (Dropout) (None, 256, 256, 64) 0 conv2d_173[0][0] __________________________________________________________________________________________________ activation_174 (Activation) (None, 256, 256, 64) 0 dropout_86[0][0] __________________________________________________________________________________________________ conv2d_174 (Conv2D) (None, 256, 256, 64) 36928 activation_174[0][0] __________________________________________________________________________________________________ add_86 (Add) (None, 256, 256, 64) 0 conv2d_174[0][0] add_85[0][0] __________________________________________________________________________________________________ batch_normalization_88 (BatchNo (None, 256, 256, 64) 256 add_86[0][0] __________________________________________________________________________________________________ activation_175 (Activation) (None, 256, 256, 64) 0 batch_normalization_88[0][0] __________________________________________________________________________________________________ conv2d_175 (Conv2D) (None, 256, 256, 64) 36928 activation_175[0][0] __________________________________________________________________________________________________ dropout_87 (Dropout) (None, 256, 256, 64) 0 conv2d_175[0][0] __________________________________________________________________________________________________ activation_176 (Activation) (None, 256, 256, 64) 0 dropout_87[0][0] __________________________________________________________________________________________________ conv2d_176 (Conv2D) (None, 256, 256, 64) 36928 activation_176[0][0] __________________________________________________________________________________________________ add_87 (Add) (None, 256, 256, 64) 0 conv2d_176[0][0] add_86[0][0] __________________________________________________________________________________________________ batch_normalization_89 (BatchNo (None, 256, 256, 64) 256 add_87[0][0] __________________________________________________________________________________________________ activation_177 (Activation) (None, 256, 256, 64) 0 batch_normalization_89[0][0] __________________________________________________________________________________________________ conv2d_177 (Conv2D) (None, 256, 256, 64) 36928 activation_177[0][0] __________________________________________________________________________________________________ dropout_88 (Dropout) (None, 256, 256, 64) 0 conv2d_177[0][0] __________________________________________________________________________________________________ activation_178 (Activation) (None, 256, 256, 64) 0 dropout_88[0][0] __________________________________________________________________________________________________ conv2d_178 (Conv2D) (None, 256, 256, 64) 36928 activation_178[0][0] __________________________________________________________________________________________________ add_88 (Add) (None, 256, 256, 64) 0 conv2d_178[0][0] add_87[0][0] __________________________________________________________________________________________________ batch_normalization_90 (BatchNo (None, 256, 256, 64) 256 add_88[0][0] __________________________________________________________________________________________________ activation_179 (Activation) (None, 256, 256, 64) 0 batch_normalization_90[0][0] __________________________________________________________________________________________________ conv2d_179 (Conv2D) (None, 256, 256, 64) 36928 activation_179[0][0] __________________________________________________________________________________________________ dropout_89 (Dropout) (None, 256, 256, 64) 0 conv2d_179[0][0] __________________________________________________________________________________________________ activation_180 (Activation) (None, 256, 256, 64) 0 dropout_89[0][0] __________________________________________________________________________________________________ conv2d_180 (Conv2D) (None, 256, 256, 64) 36928 activation_180[0][0] __________________________________________________________________________________________________ add_89 (Add) (None, 256, 256, 64) 0 conv2d_180[0][0] add_88[0][0] __________________________________________________________________________________________________ batch_normalization_91 (BatchNo (None, 256, 256, 64) 256 add_89[0][0] __________________________________________________________________________________________________ activation_181 (Activation) (None, 256, 256, 64) 0 batch_normalization_91[0][0] __________________________________________________________________________________________________ conv2d_181 (Conv2D) (None, 256, 256, 64) 36928 activation_181[0][0] __________________________________________________________________________________________________ dropout_90 (Dropout) (None, 256, 256, 64) 0 conv2d_181[0][0] __________________________________________________________________________________________________ activation_182 (Activation) (None, 256, 256, 64) 0 dropout_90[0][0] __________________________________________________________________________________________________ conv2d_182 (Conv2D) (None, 256, 256, 64) 36928 activation_182[0][0] __________________________________________________________________________________________________ add_90 (Add) (None, 256, 256, 64) 0 conv2d_182[0][0] add_89[0][0] __________________________________________________________________________________________________ batch_normalization_92 (BatchNo (None, 256, 256, 64) 256 add_90[0][0] __________________________________________________________________________________________________ activation_183 (Activation) (None, 256, 256, 64) 0 batch_normalization_92[0][0] __________________________________________________________________________________________________ conv2d_183 (Conv2D) (None, 256, 256, 64) 36928 activation_183[0][0] __________________________________________________________________________________________________ dropout_91 (Dropout) (None, 256, 256, 64) 0 conv2d_183[0][0] __________________________________________________________________________________________________ activation_184 (Activation) (None, 256, 256, 64) 0 dropout_91[0][0] __________________________________________________________________________________________________ conv2d_184 (Conv2D) (None, 256, 256, 64) 36928 activation_184[0][0] __________________________________________________________________________________________________ add_91 (Add) (None, 256, 256, 64) 0 conv2d_184[0][0] add_90[0][0] __________________________________________________________________________________________________ batch_normalization_93 (BatchNo (None, 256, 256, 64) 256 add_91[0][0] __________________________________________________________________________________________________ activation_185 (Activation) (None, 256, 256, 64) 0 batch_normalization_93[0][0] __________________________________________________________________________________________________ conv2d_185 (Conv2D) (None, 256, 256, 64) 36928 activation_185[0][0] __________________________________________________________________________________________________ dropout_92 (Dropout) (None, 256, 256, 64) 0 conv2d_185[0][0] __________________________________________________________________________________________________ activation_186 (Activation) (None, 256, 256, 64) 0 dropout_92[0][0] __________________________________________________________________________________________________ conv2d_186 (Conv2D) (None, 256, 256, 64) 36928 activation_186[0][0] __________________________________________________________________________________________________ add_92 (Add) (None, 256, 256, 64) 0 conv2d_186[0][0] add_91[0][0] __________________________________________________________________________________________________ batch_normalization_94 (BatchNo (None, 256, 256, 64) 256 add_92[0][0] __________________________________________________________________________________________________ activation_187 (Activation) (None, 256, 256, 64) 0 batch_normalization_94[0][0] __________________________________________________________________________________________________ conv2d_187 (Conv2D) (None, 256, 256, 64) 36928 activation_187[0][0] __________________________________________________________________________________________________ dropout_93 (Dropout) (None, 256, 256, 64) 0 conv2d_187[0][0] __________________________________________________________________________________________________ activation_188 (Activation) (None, 256, 256, 64) 0 dropout_93[0][0] __________________________________________________________________________________________________ conv2d_188 (Conv2D) (None, 256, 256, 64) 36928 activation_188[0][0] __________________________________________________________________________________________________ add_93 (Add) (None, 256, 256, 64) 0 conv2d_188[0][0] add_92[0][0] __________________________________________________________________________________________________ batch_normalization_95 (BatchNo (None, 256, 256, 64) 256 add_93[0][0] __________________________________________________________________________________________________ activation_189 (Activation) (None, 256, 256, 64) 0 batch_normalization_95[0][0] __________________________________________________________________________________________________ conv2d_189 (Conv2D) (None, 256, 256, 64) 36928 activation_189[0][0] __________________________________________________________________________________________________ dropout_94 (Dropout) (None, 256, 256, 64) 0 conv2d_189[0][0] __________________________________________________________________________________________________ activation_190 (Activation) (None, 256, 256, 64) 0 dropout_94[0][0] __________________________________________________________________________________________________ conv2d_190 (Conv2D) (None, 256, 256, 64) 36928 activation_190[0][0] __________________________________________________________________________________________________ add_94 (Add) (None, 256, 256, 64) 0 conv2d_190[0][0] add_93[0][0] __________________________________________________________________________________________________ batch_normalization_96 (BatchNo (None, 256, 256, 64) 256 add_94[0][0] __________________________________________________________________________________________________ activation_191 (Activation) (None, 256, 256, 64) 0 batch_normalization_96[0][0] __________________________________________________________________________________________________ conv2d_191 (Conv2D) (None, 256, 256, 64) 36928 activation_191[0][0] __________________________________________________________________________________________________ dropout_95 (Dropout) (None, 256, 256, 64) 0 conv2d_191[0][0] __________________________________________________________________________________________________ activation_192 (Activation) (None, 256, 256, 64) 0 dropout_95[0][0] __________________________________________________________________________________________________ conv2d_192 (Conv2D) (None, 256, 256, 64) 36928 activation_192[0][0] __________________________________________________________________________________________________ add_95 (Add) (None, 256, 256, 64) 0 conv2d_192[0][0] add_94[0][0] __________________________________________________________________________________________________ batch_normalization_97 (BatchNo (None, 256, 256, 64) 256 add_95[0][0] __________________________________________________________________________________________________ activation_193 (Activation) (None, 256, 256, 64) 0 batch_normalization_97[0][0] __________________________________________________________________________________________________ conv2d_193 (Conv2D) (None, 256, 256, 64) 36928 activation_193[0][0] __________________________________________________________________________________________________ dropout_96 (Dropout) (None, 256, 256, 64) 0 conv2d_193[0][0] __________________________________________________________________________________________________ activation_194 (Activation) (None, 256, 256, 64) 0 dropout_96[0][0] __________________________________________________________________________________________________ conv2d_194 (Conv2D) (None, 256, 256, 64) 36928 activation_194[0][0] __________________________________________________________________________________________________ add_96 (Add) (None, 256, 256, 64) 0 conv2d_194[0][0] add_95[0][0] __________________________________________________________________________________________________ batch_normalization_98 (BatchNo (None, 256, 256, 64) 256 add_96[0][0] __________________________________________________________________________________________________ activation_195 (Activation) (None, 256, 256, 64) 0 batch_normalization_98[0][0] __________________________________________________________________________________________________ conv2d_195 (Conv2D) (None, 256, 256, 64) 36928 activation_195[0][0] __________________________________________________________________________________________________ dropout_97 (Dropout) (None, 256, 256, 64) 0 conv2d_195[0][0] __________________________________________________________________________________________________ activation_196 (Activation) (None, 256, 256, 64) 0 dropout_97[0][0] __________________________________________________________________________________________________ conv2d_196 (Conv2D) (None, 256, 256, 64) 36928 activation_196[0][0] __________________________________________________________________________________________________ add_97 (Add) (None, 256, 256, 64) 0 conv2d_196[0][0] add_96[0][0] __________________________________________________________________________________________________ batch_normalization_99 (BatchNo (None, 256, 256, 64) 256 add_97[0][0] __________________________________________________________________________________________________ activation_197 (Activation) (None, 256, 256, 64) 0 batch_normalization_99[0][0] __________________________________________________________________________________________________ conv2d_197 (Conv2D) (None, 256, 256, 64) 36928 activation_197[0][0] __________________________________________________________________________________________________ dropout_98 (Dropout) (None, 256, 256, 64) 0 conv2d_197[0][0] __________________________________________________________________________________________________ activation_198 (Activation) (None, 256, 256, 64) 0 dropout_98[0][0] __________________________________________________________________________________________________ conv2d_198 (Conv2D) (None, 256, 256, 64) 36928 activation_198[0][0] __________________________________________________________________________________________________ add_98 (Add) (None, 256, 256, 64) 0 conv2d_198[0][0] add_97[0][0] __________________________________________________________________________________________________ batch_normalization_100 (BatchN (None, 256, 256, 64) 256 add_98[0][0] __________________________________________________________________________________________________ activation_199 (Activation) (None, 256, 256, 64) 0 batch_normalization_100[0][0] __________________________________________________________________________________________________ conv2d_199 (Conv2D) (None, 256, 256, 64) 36928 activation_199[0][0] __________________________________________________________________________________________________ dropout_99 (Dropout) (None, 256, 256, 64) 0 conv2d_199[0][0] __________________________________________________________________________________________________ activation_200 (Activation) (None, 256, 256, 64) 0 dropout_99[0][0] __________________________________________________________________________________________________ conv2d_200 (Conv2D) (None, 256, 256, 64) 36928 activation_200[0][0] __________________________________________________________________________________________________ add_99 (Add) (None, 256, 256, 64) 0 conv2d_200[0][0] add_98[0][0] __________________________________________________________________________________________________ batch_normalization_101 (BatchN (None, 256, 256, 64) 256 add_99[0][0] __________________________________________________________________________________________________ activation_201 (Activation) (None, 256, 256, 64) 0 batch_normalization_101[0][0] __________________________________________________________________________________________________ conv2d_201 (Conv2D) (None, 256, 256, 64) 36928 activation_201[0][0] __________________________________________________________________________________________________ dropout_100 (Dropout) (None, 256, 256, 64) 0 conv2d_201[0][0] __________________________________________________________________________________________________ activation_202 (Activation) (None, 256, 256, 64) 0 dropout_100[0][0] __________________________________________________________________________________________________ conv2d_202 (Conv2D) (None, 256, 256, 64) 36928 activation_202[0][0] __________________________________________________________________________________________________ add_100 (Add) (None, 256, 256, 64) 0 conv2d_202[0][0] add_99[0][0] __________________________________________________________________________________________________ batch_normalization_102 (BatchN (None, 256, 256, 64) 256 add_100[0][0] __________________________________________________________________________________________________ activation_203 (Activation) (None, 256, 256, 64) 0 batch_normalization_102[0][0] __________________________________________________________________________________________________ conv2d_203 (Conv2D) (None, 256, 256, 64) 36928 activation_203[0][0] __________________________________________________________________________________________________ dropout_101 (Dropout) (None, 256, 256, 64) 0 conv2d_203[0][0] __________________________________________________________________________________________________ activation_204 (Activation) (None, 256, 256, 64) 0 dropout_101[0][0] __________________________________________________________________________________________________ conv2d_204 (Conv2D) (None, 256, 256, 64) 36928 activation_204[0][0] __________________________________________________________________________________________________ add_101 (Add) (None, 256, 256, 64) 0 conv2d_204[0][0] add_100[0][0] __________________________________________________________________________________________________ batch_normalization_103 (BatchN (None, 256, 256, 64) 256 add_101[0][0] __________________________________________________________________________________________________ activation_205 (Activation) (None, 256, 256, 64) 0 batch_normalization_103[0][0] __________________________________________________________________________________________________ conv2d_205 (Conv2D) (None, 256, 256, 64) 36928 activation_205[0][0] __________________________________________________________________________________________________ dropout_102 (Dropout) (None, 256, 256, 64) 0 conv2d_205[0][0] __________________________________________________________________________________________________ activation_206 (Activation) (None, 256, 256, 64) 0 dropout_102[0][0] __________________________________________________________________________________________________ conv2d_206 (Conv2D) (None, 256, 256, 64) 36928 activation_206[0][0] __________________________________________________________________________________________________ add_102 (Add) (None, 256, 256, 64) 0 conv2d_206[0][0] add_101[0][0] __________________________________________________________________________________________________ batch_normalization_104 (BatchN (None, 256, 256, 64) 256 add_102[0][0] __________________________________________________________________________________________________ activation_207 (Activation) (None, 256, 256, 64) 0 batch_normalization_104[0][0] __________________________________________________________________________________________________ conv2d_207 (Conv2D) (None, 256, 256, 64) 36928 activation_207[0][0] __________________________________________________________________________________________________ dropout_103 (Dropout) (None, 256, 256, 64) 0 conv2d_207[0][0] __________________________________________________________________________________________________ activation_208 (Activation) (None, 256, 256, 64) 0 dropout_103[0][0] __________________________________________________________________________________________________ conv2d_208 (Conv2D) (None, 256, 256, 64) 36928 activation_208[0][0] __________________________________________________________________________________________________ add_103 (Add) (None, 256, 256, 64) 0 conv2d_208[0][0] add_102[0][0] __________________________________________________________________________________________________ batch_normalization_105 (BatchN (None, 256, 256, 64) 256 add_103[0][0] __________________________________________________________________________________________________ activation_209 (Activation) (None, 256, 256, 64) 0 batch_normalization_105[0][0] __________________________________________________________________________________________________ conv2d_209 (Conv2D) (None, 256, 256, 64) 36928 activation_209[0][0] __________________________________________________________________________________________________ dropout_104 (Dropout) (None, 256, 256, 64) 0 conv2d_209[0][0] __________________________________________________________________________________________________ activation_210 (Activation) (None, 256, 256, 64) 0 dropout_104[0][0] __________________________________________________________________________________________________ conv2d_210 (Conv2D) (None, 256, 256, 64) 36928 activation_210[0][0] __________________________________________________________________________________________________ add_104 (Add) (None, 256, 256, 64) 0 conv2d_210[0][0] add_103[0][0] __________________________________________________________________________________________________ batch_normalization_106 (BatchN (None, 256, 256, 64) 256 add_104[0][0] __________________________________________________________________________________________________ activation_211 (Activation) (None, 256, 256, 64) 0 batch_normalization_106[0][0] __________________________________________________________________________________________________ conv2d_211 (Conv2D) (None, 256, 256, 64) 36928 activation_211[0][0] __________________________________________________________________________________________________ dropout_105 (Dropout) (None, 256, 256, 64) 0 conv2d_211[0][0] __________________________________________________________________________________________________ activation_212 (Activation) (None, 256, 256, 64) 0 dropout_105[0][0] __________________________________________________________________________________________________ conv2d_212 (Conv2D) (None, 256, 256, 64) 36928 activation_212[0][0] __________________________________________________________________________________________________ add_105 (Add) (None, 256, 256, 64) 0 conv2d_212[0][0] add_104[0][0] __________________________________________________________________________________________________ batch_normalization_107 (BatchN (None, 256, 256, 64) 256 add_105[0][0] __________________________________________________________________________________________________ activation_213 (Activation) (None, 256, 256, 64) 0 batch_normalization_107[0][0] __________________________________________________________________________________________________ conv2d_213 (Conv2D) (None, 256, 256, 64) 36928 activation_213[0][0] __________________________________________________________________________________________________ dropout_106 (Dropout) (None, 256, 256, 64) 0 conv2d_213[0][0] __________________________________________________________________________________________________ activation_214 (Activation) (None, 256, 256, 64) 0 dropout_106[0][0] __________________________________________________________________________________________________ conv2d_214 (Conv2D) (None, 256, 256, 64) 36928 activation_214[0][0] __________________________________________________________________________________________________ add_106 (Add) (None, 256, 256, 64) 0 conv2d_214[0][0] add_105[0][0] __________________________________________________________________________________________________ batch_normalization_108 (BatchN (None, 256, 256, 64) 256 add_106[0][0] __________________________________________________________________________________________________ activation_215 (Activation) (None, 256, 256, 64) 0 batch_normalization_108[0][0] __________________________________________________________________________________________________ conv2d_215 (Conv2D) (None, 256, 256, 64) 36928 activation_215[0][0] __________________________________________________________________________________________________ dropout_107 (Dropout) (None, 256, 256, 64) 0 conv2d_215[0][0] __________________________________________________________________________________________________ activation_216 (Activation) (None, 256, 256, 64) 0 dropout_107[0][0] __________________________________________________________________________________________________ conv2d_216 (Conv2D) (None, 256, 256, 64) 36928 activation_216[0][0] __________________________________________________________________________________________________ add_107 (Add) (None, 256, 256, 64) 0 conv2d_216[0][0] add_106[0][0] __________________________________________________________________________________________________ batch_normalization_109 (BatchN (None, 256, 256, 64) 256 add_107[0][0] __________________________________________________________________________________________________ activation_217 (Activation) (None, 256, 256, 64) 0 batch_normalization_109[0][0] __________________________________________________________________________________________________ conv2d_217 (Conv2D) (None, 256, 256, 64) 36928 activation_217[0][0] __________________________________________________________________________________________________ dropout_108 (Dropout) (None, 256, 256, 64) 0 conv2d_217[0][0] __________________________________________________________________________________________________ activation_218 (Activation) (None, 256, 256, 64) 0 dropout_108[0][0] __________________________________________________________________________________________________ conv2d_218 (Conv2D) (None, 256, 256, 64) 36928 activation_218[0][0] __________________________________________________________________________________________________ add_108 (Add) (None, 256, 256, 64) 0 conv2d_218[0][0] add_107[0][0] __________________________________________________________________________________________________ batch_normalization_110 (BatchN (None, 256, 256, 64) 256 add_108[0][0] __________________________________________________________________________________________________ activation_219 (Activation) (None, 256, 256, 64) 0 batch_normalization_110[0][0] __________________________________________________________________________________________________ conv2d_219 (Conv2D) (None, 256, 256, 64) 36928 activation_219[0][0] __________________________________________________________________________________________________ dropout_109 (Dropout) (None, 256, 256, 64) 0 conv2d_219[0][0] __________________________________________________________________________________________________ activation_220 (Activation) (None, 256, 256, 64) 0 dropout_109[0][0] __________________________________________________________________________________________________ conv2d_220 (Conv2D) (None, 256, 256, 64) 36928 activation_220[0][0] __________________________________________________________________________________________________ add_109 (Add) (None, 256, 256, 64) 0 conv2d_220[0][0] add_108[0][0] __________________________________________________________________________________________________ batch_normalization_111 (BatchN (None, 256, 256, 64) 256 add_109[0][0] __________________________________________________________________________________________________ activation_221 (Activation) (None, 256, 256, 64) 0 batch_normalization_111[0][0] __________________________________________________________________________________________________ conv2d_221 (Conv2D) (None, 256, 256, 64) 36928 activation_221[0][0] __________________________________________________________________________________________________ dropout_110 (Dropout) (None, 256, 256, 64) 0 conv2d_221[0][0] __________________________________________________________________________________________________ activation_222 (Activation) (None, 256, 256, 64) 0 dropout_110[0][0] __________________________________________________________________________________________________ conv2d_222 (Conv2D) (None, 256, 256, 64) 36928 activation_222[0][0] __________________________________________________________________________________________________ add_110 (Add) (None, 256, 256, 64) 0 conv2d_222[0][0] add_109[0][0] __________________________________________________________________________________________________ batch_normalization_112 (BatchN (None, 256, 256, 64) 256 add_110[0][0] __________________________________________________________________________________________________ activation_223 (Activation) (None, 256, 256, 64) 0 batch_normalization_112[0][0] __________________________________________________________________________________________________ conv2d_223 (Conv2D) (None, 256, 256, 64) 36928 activation_223[0][0] __________________________________________________________________________________________________ dropout_111 (Dropout) (None, 256, 256, 64) 0 conv2d_223[0][0] __________________________________________________________________________________________________ activation_224 (Activation) (None, 256, 256, 64) 0 dropout_111[0][0] __________________________________________________________________________________________________ conv2d_224 (Conv2D) (None, 256, 256, 64) 36928 activation_224[0][0] __________________________________________________________________________________________________ add_111 (Add) (None, 256, 256, 64) 0 conv2d_224[0][0] add_110[0][0] __________________________________________________________________________________________________ batch_normalization_113 (BatchN (None, 256, 256, 64) 256 add_111[0][0] __________________________________________________________________________________________________ activation_225 (Activation) (None, 256, 256, 64) 0 batch_normalization_113[0][0] __________________________________________________________________________________________________ conv2d_225 (Conv2D) (None, 256, 256, 64) 36928 activation_225[0][0] __________________________________________________________________________________________________ dropout_112 (Dropout) (None, 256, 256, 64) 0 conv2d_225[0][0] __________________________________________________________________________________________________ activation_226 (Activation) (None, 256, 256, 64) 0 dropout_112[0][0] __________________________________________________________________________________________________ conv2d_226 (Conv2D) (None, 256, 256, 64) 36928 activation_226[0][0] __________________________________________________________________________________________________ add_112 (Add) (None, 256, 256, 64) 0 conv2d_226[0][0] add_111[0][0] __________________________________________________________________________________________________ batch_normalization_114 (BatchN (None, 256, 256, 64) 256 add_112[0][0] __________________________________________________________________________________________________ activation_227 (Activation) (None, 256, 256, 64) 0 batch_normalization_114[0][0] __________________________________________________________________________________________________ conv2d_227 (Conv2D) (None, 256, 256, 64) 36928 activation_227[0][0] __________________________________________________________________________________________________ dropout_113 (Dropout) (None, 256, 256, 64) 0 conv2d_227[0][0] __________________________________________________________________________________________________ activation_228 (Activation) (None, 256, 256, 64) 0 dropout_113[0][0] __________________________________________________________________________________________________ conv2d_228 (Conv2D) (None, 256, 256, 64) 36928 activation_228[0][0] __________________________________________________________________________________________________ add_113 (Add) (None, 256, 256, 64) 0 conv2d_228[0][0] add_112[0][0] __________________________________________________________________________________________________ batch_normalization_115 (BatchN (None, 256, 256, 64) 256 add_113[0][0] __________________________________________________________________________________________________ activation_229 (Activation) (None, 256, 256, 64) 0 batch_normalization_115[0][0] __________________________________________________________________________________________________ conv2d_229 (Conv2D) (None, 256, 256, 64) 36928 activation_229[0][0] __________________________________________________________________________________________________ dropout_114 (Dropout) (None, 256, 256, 64) 0 conv2d_229[0][0] __________________________________________________________________________________________________ activation_230 (Activation) (None, 256, 256, 64) 0 dropout_114[0][0] __________________________________________________________________________________________________ conv2d_230 (Conv2D) (None, 256, 256, 64) 36928 activation_230[0][0] __________________________________________________________________________________________________ add_114 (Add) (None, 256, 256, 64) 0 conv2d_230[0][0] add_113[0][0] __________________________________________________________________________________________________ batch_normalization_116 (BatchN (None, 256, 256, 64) 256 add_114[0][0] __________________________________________________________________________________________________ activation_231 (Activation) (None, 256, 256, 64) 0 batch_normalization_116[0][0] __________________________________________________________________________________________________ conv2d_231 (Conv2D) (None, 256, 256, 64) 36928 activation_231[0][0] __________________________________________________________________________________________________ dropout_115 (Dropout) (None, 256, 256, 64) 0 conv2d_231[0][0] __________________________________________________________________________________________________ activation_232 (Activation) (None, 256, 256, 64) 0 dropout_115[0][0] __________________________________________________________________________________________________ conv2d_232 (Conv2D) (None, 256, 256, 64) 36928 activation_232[0][0] __________________________________________________________________________________________________ add_115 (Add) (None, 256, 256, 64) 0 conv2d_232[0][0] add_114[0][0] __________________________________________________________________________________________________ batch_normalization_117 (BatchN (None, 256, 256, 64) 256 add_115[0][0] __________________________________________________________________________________________________ activation_233 (Activation) (None, 256, 256, 64) 0 batch_normalization_117[0][0] __________________________________________________________________________________________________ conv2d_233 (Conv2D) (None, 256, 256, 64) 36928 activation_233[0][0] __________________________________________________________________________________________________ dropout_116 (Dropout) (None, 256, 256, 64) 0 conv2d_233[0][0] __________________________________________________________________________________________________ activation_234 (Activation) (None, 256, 256, 64) 0 dropout_116[0][0] __________________________________________________________________________________________________ conv2d_234 (Conv2D) (None, 256, 256, 64) 36928 activation_234[0][0] __________________________________________________________________________________________________ add_116 (Add) (None, 256, 256, 64) 0 conv2d_234[0][0] add_115[0][0] __________________________________________________________________________________________________ batch_normalization_118 (BatchN (None, 256, 256, 64) 256 add_116[0][0] __________________________________________________________________________________________________ activation_235 (Activation) (None, 256, 256, 64) 0 batch_normalization_118[0][0] __________________________________________________________________________________________________ conv2d_235 (Conv2D) (None, 256, 256, 64) 36928 activation_235[0][0] __________________________________________________________________________________________________ dropout_117 (Dropout) (None, 256, 256, 64) 0 conv2d_235[0][0] __________________________________________________________________________________________________ activation_236 (Activation) (None, 256, 256, 64) 0 dropout_117[0][0] __________________________________________________________________________________________________ conv2d_236 (Conv2D) (None, 256, 256, 64) 36928 activation_236[0][0] __________________________________________________________________________________________________ add_117 (Add) (None, 256, 256, 64) 0 conv2d_236[0][0] add_116[0][0] __________________________________________________________________________________________________ batch_normalization_119 (BatchN (None, 256, 256, 64) 256 add_117[0][0] __________________________________________________________________________________________________ activation_237 (Activation) (None, 256, 256, 64) 0 batch_normalization_119[0][0] __________________________________________________________________________________________________ conv2d_237 (Conv2D) (None, 256, 256, 64) 36928 activation_237[0][0] __________________________________________________________________________________________________ dropout_118 (Dropout) (None, 256, 256, 64) 0 conv2d_237[0][0] __________________________________________________________________________________________________ activation_238 (Activation) (None, 256, 256, 64) 0 dropout_118[0][0] __________________________________________________________________________________________________ conv2d_238 (Conv2D) (None, 256, 256, 64) 36928 activation_238[0][0] __________________________________________________________________________________________________ add_118 (Add) (None, 256, 256, 64) 0 conv2d_238[0][0] add_117[0][0] __________________________________________________________________________________________________ batch_normalization_120 (BatchN (None, 256, 256, 64) 256 add_118[0][0] __________________________________________________________________________________________________ activation_239 (Activation) (None, 256, 256, 64) 0 batch_normalization_120[0][0] __________________________________________________________________________________________________ conv2d_239 (Conv2D) (None, 256, 256, 64) 36928 activation_239[0][0] __________________________________________________________________________________________________ dropout_119 (Dropout) (None, 256, 256, 64) 0 conv2d_239[0][0] __________________________________________________________________________________________________ activation_240 (Activation) (None, 256, 256, 64) 0 dropout_119[0][0] __________________________________________________________________________________________________ conv2d_240 (Conv2D) (None, 256, 256, 64) 36928 activation_240[0][0] __________________________________________________________________________________________________ add_119 (Add) (None, 256, 256, 64) 0 conv2d_240[0][0] add_118[0][0] __________________________________________________________________________________________________ batch_normalization_121 (BatchN (None, 256, 256, 64) 256 add_119[0][0] __________________________________________________________________________________________________ activation_241 (Activation) (None, 256, 256, 64) 0 batch_normalization_121[0][0] __________________________________________________________________________________________________ conv2d_241 (Conv2D) (None, 256, 256, 64) 36928 activation_241[0][0] __________________________________________________________________________________________________ dropout_120 (Dropout) (None, 256, 256, 64) 0 conv2d_241[0][0] __________________________________________________________________________________________________ activation_242 (Activation) (None, 256, 256, 64) 0 dropout_120[0][0] __________________________________________________________________________________________________ conv2d_242 (Conv2D) (None, 256, 256, 64) 36928 activation_242[0][0] __________________________________________________________________________________________________ add_120 (Add) (None, 256, 256, 64) 0 conv2d_242[0][0] add_119[0][0] __________________________________________________________________________________________________ batch_normalization_122 (BatchN (None, 256, 256, 64) 256 add_120[0][0] __________________________________________________________________________________________________ activation_243 (Activation) (None, 256, 256, 64) 0 batch_normalization_122[0][0] __________________________________________________________________________________________________ conv2d_243 (Conv2D) (None, 256, 256, 64) 36928 activation_243[0][0] __________________________________________________________________________________________________ dropout_121 (Dropout) (None, 256, 256, 64) 0 conv2d_243[0][0] __________________________________________________________________________________________________ activation_244 (Activation) (None, 256, 256, 64) 0 dropout_121[0][0] __________________________________________________________________________________________________ conv2d_244 (Conv2D) (None, 256, 256, 64) 36928 activation_244[0][0] __________________________________________________________________________________________________ add_121 (Add) (None, 256, 256, 64) 0 conv2d_244[0][0] add_120[0][0] __________________________________________________________________________________________________ batch_normalization_123 (BatchN (None, 256, 256, 64) 256 add_121[0][0] __________________________________________________________________________________________________ activation_245 (Activation) (None, 256, 256, 64) 0 batch_normalization_123[0][0] __________________________________________________________________________________________________ conv2d_245 (Conv2D) (None, 256, 256, 64) 36928 activation_245[0][0] __________________________________________________________________________________________________ dropout_122 (Dropout) (None, 256, 256, 64) 0 conv2d_245[0][0] __________________________________________________________________________________________________ activation_246 (Activation) (None, 256, 256, 64) 0 dropout_122[0][0] __________________________________________________________________________________________________ conv2d_246 (Conv2D) (None, 256, 256, 64) 36928 activation_246[0][0] __________________________________________________________________________________________________ add_122 (Add) (None, 256, 256, 64) 0 conv2d_246[0][0] add_121[0][0] __________________________________________________________________________________________________ batch_normalization_124 (BatchN (None, 256, 256, 64) 256 add_122[0][0] __________________________________________________________________________________________________ activation_247 (Activation) (None, 256, 256, 64) 0 batch_normalization_124[0][0] __________________________________________________________________________________________________ conv2d_247 (Conv2D) (None, 256, 256, 64) 36928 activation_247[0][0] __________________________________________________________________________________________________ dropout_123 (Dropout) (None, 256, 256, 64) 0 conv2d_247[0][0] __________________________________________________________________________________________________ activation_248 (Activation) (None, 256, 256, 64) 0 dropout_123[0][0] __________________________________________________________________________________________________ conv2d_248 (Conv2D) (None, 256, 256, 64) 36928 activation_248[0][0] __________________________________________________________________________________________________WARNING:tensorflow:From /home/badri/.local/lib/python3.6/site-packages/tensorflow_core/python/ops/math_grad.py:1423: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where WARNING:tensorflow:From /home/badri/.local/lib/python3.6/site-packages/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py:468: BaseResourceVariable.constraint (from tensorflow.python.ops.resource_variable_ops) is deprecated and will be removed in a future version. Instructions for updating: Apply a constraint manually following the optimizer update step. 2020-04-22 09:16:49.792649: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 add_123 (Add) (None, 256, 256, 64) 0 conv2d_248[0][0] add_122[0][0] __________________________________________________________________________________________________ batch_normalization_125 (BatchN (None, 256, 256, 64) 256 add_123[0][0] __________________________________________________________________________________________________ activation_249 (Activation) (None, 256, 256, 64) 0 batch_normalization_125[0][0] __________________________________________________________________________________________________ conv2d_249 (Conv2D) (None, 256, 256, 64) 36928 activation_249[0][0] __________________________________________________________________________________________________ dropout_124 (Dropout) (None, 256, 256, 64) 0 conv2d_249[0][0] __________________________________________________________________________________________________ activation_250 (Activation) (None, 256, 256, 64) 0 dropout_124[0][0] __________________________________________________________________________________________________ conv2d_250 (Conv2D) (None, 256, 256, 64) 36928 activation_250[0][0] __________________________________________________________________________________________________ add_124 (Add) (None, 256, 256, 64) 0 conv2d_250[0][0] add_123[0][0] __________________________________________________________________________________________________ batch_normalization_126 (BatchN (None, 256, 256, 64) 256 add_124[0][0] __________________________________________________________________________________________________ activation_251 (Activation) (None, 256, 256, 64) 0 batch_normalization_126[0][0] __________________________________________________________________________________________________ conv2d_251 (Conv2D) (None, 256, 256, 64) 36928 activation_251[0][0] __________________________________________________________________________________________________ dropout_125 (Dropout) (None, 256, 256, 64) 0 conv2d_251[0][0] __________________________________________________________________________________________________ activation_252 (Activation) (None, 256, 256, 64) 0 dropout_125[0][0] __________________________________________________________________________________________________ conv2d_252 (Conv2D) (None, 256, 256, 64) 36928 activation_252[0][0] __________________________________________________________________________________________________ add_125 (Add) (None, 256, 256, 64) 0 conv2d_252[0][0] add_124[0][0] __________________________________________________________________________________________________ batch_normalization_127 (BatchN (None, 256, 256, 64) 256 add_125[0][0] __________________________________________________________________________________________________ activation_253 (Activation) (None, 256, 256, 64) 0 batch_normalization_127[0][0] __________________________________________________________________________________________________ conv2d_253 (Conv2D) (None, 256, 256, 64) 36928 activation_253[0][0] __________________________________________________________________________________________________ dropout_126 (Dropout) (None, 256, 256, 64) 0 conv2d_253[0][0] __________________________________________________________________________________________________ activation_254 (Activation) (None, 256, 256, 64) 0 dropout_126[0][0] __________________________________________________________________________________________________ conv2d_254 (Conv2D) (None, 256, 256, 64) 36928 activation_254[0][0] __________________________________________________________________________________________________ add_126 (Add) (None, 256, 256, 64) 0 conv2d_254[0][0] add_125[0][0] __________________________________________________________________________________________________ batch_normalization_128 (BatchN (None, 256, 256, 64) 256 add_126[0][0] __________________________________________________________________________________________________ activation_255 (Activation) (None, 256, 256, 64) 0 batch_normalization_128[0][0] __________________________________________________________________________________________________ conv2d_255 (Conv2D) (None, 256, 256, 64) 36928 activation_255[0][0] __________________________________________________________________________________________________ dropout_127 (Dropout) (None, 256, 256, 64) 0 conv2d_255[0][0] __________________________________________________________________________________________________ activation_256 (Activation) (None, 256, 256, 64) 0 dropout_127[0][0] __________________________________________________________________________________________________ conv2d_256 (Conv2D) (None, 256, 256, 64) 36928 activation_256[0][0] __________________________________________________________________________________________________ add_127 (Add) (None, 256, 256, 64) 0 conv2d_256[0][0] add_126[0][0] __________________________________________________________________________________________________ batch_normalization_129 (BatchN (None, 256, 256, 64) 256 add_127[0][0] __________________________________________________________________________________________________ activation_257 (Activation) (None, 256, 256, 64) 0 batch_normalization_129[0][0] __________________________________________________________________________________________________ conv2d_257 (Conv2D) (None, 256, 256, 1) 577 activation_257[0][0] __________________________________________________________________________________________________ activation_258 (Activation) (None, 256, 256, 1) 0 conv2d_257[0][0] ================================================================================================== Total params: 9,491,109 Trainable params: 9,474,483 Non-trainable params: 16,626 __________________________________________________________________________________________________ None Loading existing weights.. Train.. 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ETA: 2s - loss: 0.0530 - accuracy: 0.9810 Epoch 00001: val_loss improved from inf to 0.02782, saving model to contact.hdf5  1678/1678 [==============================] - 3753s 2s/step - loss: 0.0530 - accuracy: 0.9810 - val_loss: 0.0278 - val_accuracy: 0.9912 Epoch 2/8 1/1678 [..............................] - ETA: 50:44 - loss: 0.0198 - accuracy: 0.9935 2/1678 [..............................] - ETA: 50:45 - loss: 0.0157 - accuracy: 0.9948 3/1678 [..............................] - ETA: 50:45 - loss: 0.0203 - accuracy: 0.9930 4/1678 [..............................] - ETA: 50:41 - loss: 0.0240 - accuracy: 0.9920 5/1678 [..............................] - ETA: 50:41 - loss: 0.0229 - accuracy: 0.9923 6/1678 [..............................] - ETA: 50:40 - loss: 0.0243 - accuracy: 0.9919 7/1678 [..............................] - ETA: 50:39 - loss: 0.0226 - accuracy: 0.9925 8/1678 [..............................] - ETA: 50:38 - loss: 0.0221 - accuracy: 0.9926 9/1678 [..............................] - 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ETA: 3s - loss: 0.0266 - accuracy: 0.9916 1677/1678 [============================>.] - ETA: 1s - loss: 0.0266 - accuracy: 0.9916 Epoch 00002: val_loss improved from 0.02782 to 0.02740, saving model to contact.hdf5  1678/1678 [==============================] - 3103s 2s/step - loss: 0.0266 - accuracy: 0.9916 - val_loss: 0.0274 - val_accuracy: 0.9914 Epoch 3/8 1/1678 [..............................] - ETA: 51:41 - loss: 0.0279 - accuracy: 0.9933 2/1678 [..............................] - ETA: 51:20 - loss: 0.0199 - accuracy: 0.9942 3/1678 [..............................] - ETA: 51:10 - loss: 0.0267 - accuracy: 0.9921 4/1678 [..............................] - ETA: 51:07 - loss: 0.0284 - accuracy: 0.9916 5/1678 [..............................] - ETA: 51:05 - loss: 0.0253 - accuracy: 0.9923 6/1678 [..............................] - ETA: 50:59 - loss: 0.0285 - accuracy: 0.9913 7/1678 [..............................] - ETA: 50:59 - loss: 0.0292 - accuracy: 0.9910 8/1678 [..............................] - 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ETA: 27s - loss: 0.0259 - accuracy: 0.9917 1664/1678 [============================>.] - ETA: 25s - loss: 0.0259 - accuracy: 0.9917 1665/1678 [============================>.] - ETA: 23s - loss: 0.0259 - accuracy: 0.9917 1666/1678 [============================>.] - ETA: 22s - loss: 0.0259 - accuracy: 0.9917 1667/1678 [============================>.] - ETA: 20s - loss: 0.0259 - accuracy: 0.9917 1668/1678 [============================>.] - ETA: 18s - loss: 0.0259 - accuracy: 0.9917 1669/1678 [============================>.] - ETA: 16s - loss: 0.0259 - accuracy: 0.9917 1670/1678 [============================>.] - ETA: 14s - loss: 0.0259 - accuracy: 0.9917 1671/1678 [============================>.] - ETA: 12s - loss: 0.0259 - accuracy: 0.9917 1672/1678 [============================>.] - ETA: 11s - loss: 0.0259 - accuracy: 0.9917 1673/1678 [============================>.] - ETA: 9s - loss: 0.0259 - accuracy: 0.9917  1674/1678 [============================>.] - ETA: 7s - loss: 0.0258 - accuracy: 0.9917 1675/1678 [============================>.] - ETA: 5s - loss: 0.0258 - accuracy: 0.9917 1676/1678 [============================>.] - ETA: 3s - loss: 0.0258 - accuracy: 0.9917 1677/1678 [============================>.] - ETA: 1s - loss: 0.0259 - accuracy: 0.9917 Epoch 00003: val_loss did not improve from 0.02740  1678/1678 [==============================] - 3105s 2s/step - loss: 0.0259 - accuracy: 0.9917 - val_loss: 0.0277 - val_accuracy: 0.9913 Epoch 4/8 1/1678 [..............................] - ETA: 51:10 - loss: 0.0299 - accuracy: 0.9896 2/1678 [..............................] - ETA: 51:15 - loss: 0.0362 - accuracy: 0.9888 3/1678 [..............................] - ETA: 51:13 - loss: 0.0307 - accuracy: 0.9904 4/1678 [..............................] - ETA: 51:11 - loss: 0.0339 - accuracy: 0.9893 5/1678 [..............................] - ETA: 51:06 - loss: 0.0304 - accuracy: 0.9903 6/1678 [..............................] - ETA: 51:06 - loss: 0.0382 - accuracy: 0.9880 7/1678 [..............................] - ETA: 51:02 - loss: 0.0372 - 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ETA: 9s - loss: 0.0251 - accuracy: 0.9918  1674/1678 [============================>.] - ETA: 7s - loss: 0.0251 - accuracy: 0.9918 1675/1678 [============================>.] - ETA: 5s - loss: 0.0251 - accuracy: 0.9918 1676/1678 [============================>.] - ETA: 3s - loss: 0.0251 - accuracy: 0.9918 1677/1678 [============================>.] - ETA: 1s - loss: 0.0251 - accuracy: 0.9918 Epoch 00005: val_loss improved from 0.02740 to 0.02726, saving model to contact.hdf5  1678/1678 [==============================] - 3107s 2s/step - loss: 0.0251 - accuracy: 0.9918 - val_loss: 0.0273 - val_accuracy: 0.9915 Epoch 6/8 1/1678 [..............................] - ETA: 51:11 - loss: 0.0436 - accuracy: 0.9870 2/1678 [..............................] - ETA: 51:19 - loss: 0.0372 - accuracy: 0.9892 3/1678 [..............................] - ETA: 51:24 - loss: 0.0338 - accuracy: 0.9897 4/1678 [..............................] - ETA: 51:20 - loss: 0.0317 - accuracy: 0.9900 5/1678 [..............................] - 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ETA: 33s - loss: 0.0249 - accuracy: 0.9919 1661/1678 [============================>.] - ETA: 31s - loss: 0.0249 - accuracy: 0.9919 1662/1678 [============================>.] - ETA: 29s - loss: 0.0249 - accuracy: 0.9919 1663/1678 [============================>.] - ETA: 27s - loss: 0.0249 - accuracy: 0.9919 1664/1678 [============================>.] - ETA: 25s - loss: 0.0249 - accuracy: 0.9919 1665/1678 [============================>.] - ETA: 23s - loss: 0.0249 - accuracy: 0.9919 1666/1678 [============================>.] - ETA: 22s - loss: 0.0249 - accuracy: 0.9919 1667/1678 [============================>.] - ETA: 20s - loss: 0.0249 - accuracy: 0.9919 1668/1678 [============================>.] - ETA: 18s - loss: 0.0249 - accuracy: 0.9919 1669/1678 [============================>.] - ETA: 16s - loss: 0.0249 - accuracy: 0.9919 1670/1678 [============================>.] - ETA: 14s - loss: 0.0249 - accuracy: 0.9919 1671/1678 [============================>.] - ETA: 12s - loss: 0.0249 - accuracy: 0.9919 1672/1678 [============================>.] - ETA: 11s - loss: 0.0249 - accuracy: 0.9919 1673/1678 [============================>.] - ETA: 9s - loss: 0.0249 - accuracy: 0.9919  1674/1678 [============================>.] - ETA: 7s - loss: 0.0249 - accuracy: 0.9919 1675/1678 [============================>.] - ETA: 5s - loss: 0.0249 - accuracy: 0.9919 1676/1678 [============================>.] - ETA: 3s - loss: 0.0249 - accuracy: 0.9919 1677/1678 [============================>.] - ETA: 1s - loss: 0.0249 - accuracy: 0.9919 Epoch 00006: val_loss improved from 0.02726 to 0.02694, saving model to contact.hdf5  1678/1678 [==============================] - 3105s 2s/step - loss: 0.0249 - accuracy: 0.9919 - val_loss: 0.0269 - val_accuracy: 0.9915 Epoch 7/8 1/1678 [..............................] - ETA: 51:09 - loss: 0.0416 - accuracy: 0.9873 2/1678 [..............................] - ETA: 51:10 - loss: 0.0456 - accuracy: 0.9865 3/1678 [..............................] - ETA: 51:03 - loss: 0.0331 - accuracy: 0.9899 4/1678 [..............................] - 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ETA: 12s - loss: 0.0246 - accuracy: 0.9919 1672/1678 [============================>.] - ETA: 11s - loss: 0.0246 - accuracy: 0.9919 1673/1678 [============================>.] - ETA: 9s - loss: 0.0246 - accuracy: 0.9919  1674/1678 [============================>.] - ETA: 7s - loss: 0.0246 - accuracy: 0.9919 1675/1678 [============================>.] - ETA: 5s - loss: 0.0246 - accuracy: 0.9919 1676/1678 [============================>.] - ETA: 3s - loss: 0.0246 - accuracy: 0.9919 1677/1678 [============================>.] - ETA: 1s - loss: 0.0246 - accuracy: 0.9919 Epoch 00007: val_loss improved from 0.02694 to 0.02675, saving model to contact.hdf5  1678/1678 [==============================] - 3104s 2s/step - loss: 0.0246 - accuracy: 0.9919 - val_loss: 0.0268 - val_accuracy: 0.9915 Epoch 8/8 1/1678 [..............................] - ETA: 51:20 - loss: 0.0075 - accuracy: 0.9973 2/1678 [..............................] - ETA: 51:14 - loss: 0.0223 - accuracy: 0.9937 3/1678 [..............................] - 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ETA: 14s - loss: 0.0244 - accuracy: 0.9919 1671/1678 [============================>.] - ETA: 12s - loss: 0.0244 - accuracy: 0.9919 1672/1678 [============================>.] - ETA: 10s - loss: 0.0244 - accuracy: 0.9919 1673/1678 [============================>.] - ETA: 9s - loss: 0.0244 - accuracy: 0.9920  1674/1678 [============================>.] - ETA: 7s - loss: 0.0244 - accuracy: 0.9920 1675/1678 [============================>.] - ETA: 5s - loss: 0.0244 - accuracy: 0.9920 1676/1678 [============================>.] - ETA: 3s - loss: 0.0244 - accuracy: 0.9920 1677/1678 [============================>.] - ETA: 1s - loss: 0.0244 - accuracy: 0.9920 Epoch 00008: val_loss did not improve from 0.02675  1678/1678 [==============================] - 3102s 2s/step - loss: 0.0244 - accuracy: 0.9920 - val_loss: 0.0273 - val_accuracy: 0.9915 Evaluate validation set.. Model params: L 512 num_blocks 128 width 64 expected_n_channels 57 1/100 [..............................] - ETA: 26:17 2/100 [..............................] - ETA: 13:47 3/100 [..............................] - ETA: 9:37  4/100 [>.............................] - ETA: 7:31 5/100 [>.............................] - ETA: 6:15 6/100 [>.............................] - ETA: 5:24 7/100 [=>............................] - ETA: 4:48 8/100 [=>............................] - ETA: 4:20 9/100 [=>............................] - ETA: 3:58 10/100 [==>...........................] - ETA: 3:40 11/100 [==>...........................] - ETA: 3:26 12/100 [==>...........................] - ETA: 3:14 13/100 [==>...........................] - ETA: 3:03 14/100 [===>..........................] - ETA: 2:54 15/100 [===>..........................] - ETA: 2:46 16/100 [===>..........................] - ETA: 2:39 17/100 [====>.........................] - ETA: 2:32 18/100 [====>.........................] - ETA: 2:26 19/100 [====>.........................] - 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ETA: 1s 100/100 [==============================] - 111s 1s/step Precision for 0 - 3aa0A top_L5_lr = 0.7222 top_L_lr = 0.4296 top_Nc_lr = 0.4603 top_L5_mlr = 0.7222 top_L_mlr = 0.5926 top_Nc_mlr = 0.4937 (total_true_lr = 252 total_true_mlr = 399) Precision for 1 - 5cs0A top_L5_lr = 0.4884 top_L_lr = 0.2977 top_Nc_lr = 0.3490 top_L5_mlr = 0.5581 top_L_mlr = 0.3209 top_Nc_mlr = 0.3316 (total_true_lr = 149 total_true_mlr = 190) Precision for 2 - 2z51A top_L5_lr = 0.6452 top_L_lr = 0.4221 top_Nc_lr = 0.4444 top_L5_mlr = 0.8710 top_L_mlr = 0.6169 top_Nc_mlr = 0.5045 (total_true_lr = 144 total_true_mlr = 222) Precision for 3 - 3q64A top_L5_lr = 1.0000 top_L_lr = 0.6710 top_Nc_lr = 0.6667 top_L5_mlr = 1.0000 top_L_mlr = 0.8968 top_Nc_mlr = 0.7319 (total_true_lr = 159 total_true_mlr = 276) Precision for 4 - 4p3aA top_L5_lr = 1.0000 top_L_lr = 0.6000 top_Nc_lr = 0.6066 top_L5_mlr = 0.7857 top_L_mlr = 0.5429 top_Nc_mlr = 0.5250 (total_true_lr = 61 total_true_mlr = 80) Precision for 5 - 1nkzA top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = nan top_L_mlr = nan top_Nc_mlr = nan (total_true_lr = 0 total_true_mlr = 0) Precision for 6 - 4d5tA top_L5_lr = 0.2333 top_L_lr = 0.1523 top_Nc_lr = 0.1630 top_L5_mlr = 0.3000 top_L_mlr = 0.1722 top_Nc_mlr = 0.1750 (total_true_lr = 135 total_true_mlr = 160) Precision for 7 - 1jogA top_L5_lr = 0.5556 top_L_lr = 0.3259 top_Nc_lr = 0.3398 top_L5_mlr = 0.6296 top_L_mlr = 0.4148 top_Nc_mlr = 0.4167 (total_true_lr = 103 total_true_mlr = 132) Precision for 8 - 4u89A top_L5_lr = 0.8444 top_L_lr = 0.3956 top_Nc_lr = 0.3455 top_L5_mlr = 0.9111 top_L_mlr = 0.6756 top_Nc_mlr = 0.4873 (total_true_lr = 301 total_true_mlr = 433) Precision for 9 - 3wisA top_L5_lr = 1.0000 top_L_lr = 0.8278 top_Nc_lr = 0.6738 top_L5_mlr = 1.0000 top_L_mlr = 0.8500 top_Nc_mlr = 0.6614 (total_true_lr = 282 total_true_mlr = 319) Precision for 10 - 1mkfA top_L5_lr = 0.2568 top_L_lr = 0.1698 top_Nc_lr = 0.1106 top_L5_mlr = 0.2838 top_L_mlr = 0.1941 top_Nc_mlr = 0.1241 (total_true_lr = 714 total_true_mlr = 854) Precision for 11 - 1kaeA top_L5_lr = 0.8161 top_L_lr = 0.6152 top_Nc_lr = 0.4937 top_L5_mlr = 0.8391 top_L_mlr = 0.6521 top_Nc_mlr = 0.5123 (total_true_lr = 711 total_true_mlr = 857) Precision for 12 - 4o8bA top_L5_lr = 0.9000 top_L_lr = 0.4752 top_Nc_lr = 0.7358 top_L5_mlr = 1.0000 top_L_mlr = 0.5248 top_Nc_mlr = 0.6533 (total_true_lr = 53 total_true_mlr = 75) Precision for 13 - 2gfqA top_L5_lr = 0.9828 top_L_lr = 0.7465 top_Nc_lr = 0.5691 top_L5_mlr = 0.9828 top_L_mlr = 0.8090 top_Nc_mlr = 0.5537 (total_true_lr = 615 total_true_mlr = 708) Precision for 14 - 4cmlA top_L5_lr = 0.9839 top_L_lr = 0.8290 top_Nc_lr = 0.6211 top_L5_mlr = 1.0000 top_L_mlr = 0.8839 top_Nc_mlr = 0.6238 (total_true_lr = 578 total_true_mlr = 723) Precision for 15 - 1vrmA top_L5_lr = 0.9839 top_L_lr = 0.7735 top_Nc_lr = 0.6439 top_L5_mlr = 0.9839 top_L_mlr = 0.8479 top_Nc_mlr = 0.6485 (total_true_lr = 469 total_true_mlr = 623) Precision for 16 - 4kwyA top_L5_lr = 0.9630 top_L_lr = 0.7591 top_Nc_lr = 0.6854 top_L5_mlr = 0.8519 top_L_mlr = 0.8175 top_Nc_mlr = 0.6835 (total_true_lr = 178 total_true_mlr = 237) Precision for 17 - 2yfaA top_L5_lr = 0.9149 top_L_lr = 0.6441 top_Nc_lr = 0.6967 top_L5_mlr = 0.9787 top_L_mlr = 0.7754 top_Nc_mlr = 0.7197 (total_true_lr = 211 total_true_mlr = 264) Precision for 18 - 1tnfA top_L5_lr = 1.0000 top_L_lr = 0.8684 top_Nc_lr = 0.6782 top_L5_mlr = 1.0000 top_L_mlr = 0.9013 top_Nc_mlr = 0.6657 (total_true_lr = 289 total_true_mlr = 350) Precision for 19 - 3pivA top_L5_lr = 0.8065 top_L_lr = 0.4808 top_Nc_lr = 0.4467 top_L5_mlr = 0.8065 top_L_mlr = 0.4744 top_Nc_mlr = 0.4279 (total_true_lr = 197 total_true_mlr = 208) Precision for 20 - 1nw1A top_L5_lr = 0.9315 top_L_lr = 0.6027 top_Nc_lr = 0.5265 top_L5_mlr = 1.0000 top_L_mlr = 0.7205 top_Nc_mlr = 0.5679 (total_true_lr = 509 total_true_mlr = 648) Precision for 21 - 4ng0A top_L5_lr = 0.7895 top_L_lr = 0.6082 top_Nc_lr = 0.5203 top_L5_mlr = 0.9474 top_L_mlr = 0.6804 top_Nc_mlr = 0.5263 (total_true_lr = 123 total_true_mlr = 171) Precision for 22 - 4qt9A top_L5_lr = 0.8916 top_L_lr = 0.6111 top_Nc_lr = 0.4718 top_L5_mlr = 0.8916 top_L_mlr = 0.6377 top_Nc_mlr = 0.4666 (total_true_lr = 708 total_true_mlr = 868) Precision for 23 - 3no4A top_L5_lr = 0.9811 top_L_lr = 0.7500 top_Nc_lr = 0.5567 top_L5_mlr = 0.9811 top_L_mlr = 0.7689 top_Nc_mlr = 0.5421 (total_true_lr = 467 total_true_mlr = 535) Precision for 24 - 3qd7X top_L5_lr = 1.0000 top_L_lr = 0.5878 top_Nc_lr = 0.4807 top_L5_mlr = 1.0000 top_L_mlr = 0.7863 top_Nc_mlr = 0.5438 (total_true_lr = 181 total_true_mlr = 217) Precision for 25 - 3o4pA top_L5_lr = 0.9365 top_L_lr = 0.6497 top_Nc_lr = 0.5101 top_L5_mlr = 1.0000 top_L_mlr = 0.8981 top_Nc_mlr = 0.6092 (total_true_lr = 496 total_true_mlr = 806) Precision for 26 - 3agnA top_L5_lr = 0.8261 top_L_lr = 0.5526 top_Nc_lr = 0.4805 top_L5_mlr = 1.0000 top_L_mlr = 0.7456 top_Nc_mlr = 0.5681 (total_true_lr = 154 total_true_mlr = 213) Precision for 27 - 2yilA top_L5_lr = 1.0000 top_L_lr = 0.4885 top_Nc_lr = 0.4843 top_L5_mlr = 1.0000 top_L_mlr = 0.6489 top_Nc_mlr = 0.5043 (total_true_lr = 159 total_true_mlr = 232) Precision for 28 - 4jivD top_L5_lr = 0.8421 top_L_lr = 0.5376 top_Nc_lr = 0.4436 top_L5_mlr = 0.8947 top_L_mlr = 0.7527 top_Nc_mlr = 0.5604 (total_true_lr = 133 total_true_mlr = 207) Precision for 29 - 4fz4A top_L5_lr = 0.0968 top_L_lr = 0.0974 top_Nc_lr = 0.0956 top_L5_mlr = 0.2258 top_L_mlr = 0.1299 top_Nc_mlr = 0.1192 (total_true_lr = 136 total_true_mlr = 151) Precision for 30 - 2g3vA top_L5_lr = 0.2500 top_L_lr = 0.0870 top_Nc_lr = 0.0890 top_L5_mlr = 0.2500 top_L_mlr = 0.0807 top_Nc_mlr = 0.0769 (total_true_lr = 146 total_true_mlr = 156) Precision for 31 - 2o0qA top_L5_lr = 1.0000 top_L_lr = 0.7632 top_Nc_lr = 0.6550 top_L5_mlr = 1.0000 top_L_mlr = 0.7807 top_Nc_mlr = 0.5938 (total_true_lr = 171 total_true_mlr = 192) Precision for 32 - 4levA top_L5_lr = 0.6892 top_L_lr = 0.3388 top_Nc_lr = 0.3137 top_L5_mlr = 0.8649 top_L_mlr = 0.5230 top_Nc_mlr = 0.3899 (total_true_lr = 459 total_true_mlr = 595) Precision for 33 - 1t6t1 top_L5_lr = 0.9545 top_L_lr = 0.5370 top_Nc_lr = 0.5133 top_L5_mlr = 1.0000 top_L_mlr = 0.7130 top_Nc_mlr = 0.5633 (total_true_lr = 113 total_true_mlr = 158) Precision for 34 - 2fzpA top_L5_lr = 0.1481 top_L_lr = 0.2313 top_Nc_lr = 0.2147 top_L5_mlr = 0.4074 top_L_mlr = 0.3209 top_Nc_mlr = 0.2698 (total_true_lr = 177 total_true_mlr = 215) Precision for 35 - 1rj8A top_L5_lr = 1.0000 top_L_lr = 0.8429 top_Nc_lr = 0.5874 top_L5_mlr = 1.0000 top_L_mlr = 0.8357 top_Nc_mlr = 0.5836 (total_true_lr = 286 total_true_mlr = 353) Precision for 36 - 2z7fI top_L5_lr = 0.6000 top_L_lr = 0.3800 top_Nc_lr = 0.4000 top_L5_mlr = 0.5000 top_L_mlr = 0.4600 top_Nc_mlr = 0.4306 (total_true_lr = 45 total_true_mlr = 72) Precision for 37 - 1dx5I top_L5_lr = 0.2500 top_L_lr = 0.1695 top_Nc_lr = 0.2619 top_L5_mlr = 0.7917 top_L_mlr = 0.4237 top_Nc_mlr = 0.3776 (total_true_lr = 42 total_true_mlr = 143) Precision for 38 - 2gsoA top_L5_lr = 0.9868 top_L_lr = 0.7906 top_Nc_lr = 0.5421 top_L5_mlr = 0.9737 top_L_mlr = 0.8351 top_Nc_mlr = 0.5282 (total_true_lr = 725 total_true_mlr = 888) Precision for 39 - 4tshB top_L5_lr = 0.9072 top_L_lr = 0.6680 top_Nc_lr = 0.4713 top_L5_mlr = 0.8454 top_L_mlr = 0.6412 top_Nc_mlr = 0.4749 (total_true_lr = 942 total_true_mlr = 1116) Precision for 40 - 3vtoA top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = 0.6000 top_L_mlr = 0.1818 top_Nc_mlr = 0.6667 (total_true_lr = 0 total_true_mlr = 18) Precision for 41 - 2p3yA top_L5_lr = 0.9674 top_L_lr = 0.6811 top_Nc_lr = 0.4826 top_L5_mlr = 0.9674 top_L_mlr = 0.7570 top_Nc_mlr = 0.4888 (total_true_lr = 777 total_true_mlr = 939) Precision for 42 - 3pcvA top_L5_lr = 0.9655 top_L_lr = 0.6096 top_Nc_lr = 0.7083 top_L5_mlr = 0.9655 top_L_mlr = 0.7397 top_Nc_mlr = 0.7248 (total_true_lr = 120 total_true_mlr = 149) Precision for 43 - 3kfoA top_L5_lr = 0.4651 top_L_lr = 0.2582 top_Nc_lr = 0.2544 top_L5_mlr = 0.6047 top_L_mlr = 0.3333 top_Nc_mlr = 0.2884 (total_true_lr = 228 total_true_mlr = 267) Precision for 44 - 3v6iB top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = nan top_L_mlr = nan top_Nc_mlr = nan (total_true_lr = 0 total_true_mlr = 0) Precision for 45 - 4htiA top_L5_lr = 0.6667 top_L_lr = 0.4545 top_Nc_lr = 0.4299 top_L5_mlr = 0.6667 top_L_mlr = 0.5682 top_Nc_mlr = 0.4783 (total_true_lr = 107 total_true_mlr = 138) Precision for 46 - 2q0tA top_L5_lr = 0.6923 top_L_lr = 0.4496 top_Nc_lr = 0.4600 top_L5_mlr = 0.7308 top_L_mlr = 0.5194 top_Nc_mlr = 0.4724 (total_true_lr = 250 total_true_mlr = 290) Precision for 47 - 4l3uA top_L5_lr = 0.9200 top_L_lr = 0.4878 top_Nc_lr = 0.5354 top_L5_mlr = 0.9200 top_L_mlr = 0.5285 top_Nc_mlr = 0.5317 (total_true_lr = 99 total_true_mlr = 126) Precision for 48 - 4pt1A top_L5_lr = 0.8462 top_L_lr = 0.4341 top_Nc_lr = 0.4783 top_L5_mlr = 1.0000 top_L_mlr = 0.6512 top_Nc_mlr = 0.5570 (total_true_lr = 115 total_true_mlr = 158) Precision for 49 - 3c1qA top_L5_lr = 1.0000 top_L_lr = 0.3652 top_Nc_lr = 0.6129 top_L5_mlr = 1.0000 top_L_mlr = 0.6696 top_Nc_mlr = 0.7064 (total_true_lr = 62 total_true_mlr = 109) Precision for 50 - 1ux5A top_L5_lr = 0.9268 top_L_lr = 0.4842 top_Nc_lr = 0.5174 top_L5_mlr = 0.8902 top_L_mlr = 0.4891 top_Nc_mlr = 0.4867 (total_true_lr = 373 total_true_mlr = 413) Precision for 51 - 1h9mA top_L5_lr = 1.0000 top_L_lr = 0.9149 top_Nc_lr = 0.7301 top_L5_mlr = 1.0000 top_L_mlr = 0.9858 top_Nc_mlr = 0.7548 (total_true_lr = 226 total_true_mlr = 314) Precision for 52 - 3oufA top_L5_lr = 0.4737 top_L_lr = 0.2688 top_Nc_lr = 0.3400 top_L5_mlr = 0.6842 top_L_mlr = 0.3763 top_Nc_mlr = 0.4247 (total_true_lr = 50 total_true_mlr = 73) Precision for 53 - 4rt5A top_L5_lr = 1.0000 top_L_lr = 0.7525 top_Nc_lr = 0.7333 top_L5_mlr = 1.0000 top_L_mlr = 0.8317 top_Nc_mlr = 0.7000 (total_true_lr = 105 total_true_mlr = 160) Precision for 54 - 3njcA top_L5_lr = 0.9677 top_L_lr = 0.5033 top_Nc_lr = 0.5352 top_L5_mlr = 0.7742 top_L_mlr = 0.6209 top_Nc_mlr = 0.5573 (total_true_lr = 142 total_true_mlr = 192) Precision for 55 - 2q73A top_L5_lr = 1.0000 top_L_lr = 0.5444 top_Nc_lr = 0.7455 top_L5_mlr = 1.0000 top_L_mlr = 0.5778 top_Nc_mlr = 0.6571 (total_true_lr = 55 total_true_mlr = 70) Precision for 56 - 1yz1A top_L5_lr = 1.0000 top_L_lr = 0.6781 top_Nc_lr = 0.6032 top_L5_mlr = 0.9655 top_L_mlr = 0.7877 top_Nc_mlr = 0.6160 (total_true_lr = 189 total_true_mlr = 237) Precision for 57 - 5c50B top_L5_lr = 1.0000 top_L_lr = 0.6919 top_Nc_lr = 0.5486 top_L5_mlr = 1.0000 top_L_mlr = 0.7784 top_Nc_mlr = 0.5816 (total_true_lr = 288 total_true_mlr = 337) Precision for 58 - 3hnxA top_L5_lr = 0.8636 top_L_lr = 0.5278 top_Nc_lr = 0.5670 top_L5_mlr = 1.0000 top_L_mlr = 0.8148 top_Nc_mlr = 0.6757 (total_true_lr = 97 total_true_mlr = 185) Precision for 59 - 1knyA top_L5_lr = 0.8431 top_L_lr = 0.5652 top_Nc_lr = 0.5269 top_L5_mlr = 0.9412 top_L_mlr = 0.7115 top_Nc_mlr = 0.5870 (total_true_lr = 279 total_true_mlr = 385) Precision for 60 - 1tr8A top_L5_lr = 0.9444 top_L_lr = 0.4457 top_Nc_lr = 0.7083 top_L5_mlr = 1.0000 top_L_mlr = 0.7717 top_Nc_mlr = 0.7600 (total_true_lr = 48 total_true_mlr = 100) Precision for 61 - 4qicB top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = 0.0000 top_L_mlr = 0.0588 top_Nc_mlr = 0.0000 (total_true_lr = 0 total_true_mlr = 3) Precision for 62 - 3f1iS top_L5_lr = 0.6667 top_L_lr = 0.1818 top_Nc_lr = 0.7143 top_L5_mlr = 0.9333 top_L_mlr = 0.3117 top_Nc_mlr = 0.7917 (total_true_lr = 14 total_true_mlr = 24) Precision for 63 - 2fyuI top_L5_lr = 0.0000 top_L_lr = 0.0000 top_Nc_lr = 0.0000 top_L5_mlr = 0.0000 top_L_mlr = 0.0526 top_Nc_mlr = 0.0435 (total_true_lr = 10 total_true_mlr = 23) Precision for 64 - 4ic9A top_L5_lr = 0.5000 top_L_lr = 0.2385 top_Nc_lr = 0.2766 top_L5_mlr = 0.7308 top_L_mlr = 0.3538 top_Nc_mlr = 0.3497 (total_true_lr = 94 total_true_mlr = 143) Precision for 65 - 3iruA top_L5_lr = 0.9636 top_L_lr = 0.7717 top_Nc_lr = 0.5937 top_L5_mlr = 1.0000 top_L_mlr = 0.8370 top_Nc_mlr = 0.6184 (total_true_lr = 443 total_true_mlr = 532) Precision for 66 - 2xu8A top_L5_lr = 0.3043 top_L_lr = 0.1121 top_Nc_lr = 0.1410 top_L5_mlr = 0.9565 top_L_mlr = 0.3621 top_Nc_mlr = 0.3309 (total_true_lr = 78 total_true_mlr = 136) Precision for 67 - 3g7lA top_L5_lr = 0.5455 top_L_lr = 0.2364 top_Nc_lr = 0.5000 top_L5_mlr = 1.0000 top_L_mlr = 0.7818 top_Nc_mlr = 0.7679 (total_true_lr = 14 total_true_mlr = 56) Precision for 68 - 3hshA top_L5_lr = 0.0000 top_L_lr = 0.0000 top_Nc_lr = 0.0000 top_L5_mlr = 0.8182 top_L_mlr = 0.6071 top_Nc_mlr = 0.5833 (total_true_lr = 2 total_true_mlr = 60) Precision for 69 - 1vq0A top_L5_lr = 0.9655 top_L_lr = 0.6345 top_Nc_lr = 0.5242 top_L5_mlr = 0.9828 top_L_mlr = 0.8000 top_Nc_mlr = 0.5872 (total_true_lr = 414 total_true_mlr = 562) Precision for 70 - 4z04A top_L5_lr = 1.0000 top_L_lr = 0.7661 top_Nc_lr = 0.6774 top_L5_mlr = 1.0000 top_L_mlr = 0.8871 top_Nc_mlr = 0.6754 (total_true_lr = 155 total_true_mlr = 228) Precision for 71 - 2huhA top_L5_lr = 1.0000 top_L_lr = 0.7483 top_Nc_lr = 0.5919 top_L5_mlr = 1.0000 top_L_mlr = 0.8435 top_Nc_mlr = 0.6373 (total_true_lr = 223 total_true_mlr = 295) Precision for 72 - 4dh2B top_L5_lr = 1.0000 top_L_lr = 0.5139 top_Nc_lr = 0.5397 top_L5_mlr = 1.0000 top_L_mlr = 0.5833 top_Nc_mlr = 0.5500 (total_true_lr = 63 total_true_mlr = 80) Precision for 73 - 2p9xA top_L5_lr = 0.3000 top_L_lr = 0.1939 top_Nc_lr = 0.2698 top_L5_mlr = 0.2500 top_L_mlr = 0.2449 top_Nc_mlr = 0.2556 (total_true_lr = 63 total_true_mlr = 90) Precision for 74 - 1m9zA top_L5_lr = 0.9048 top_L_lr = 0.3810 top_Nc_lr = 0.3537 top_L5_mlr = 0.9048 top_L_mlr = 0.5333 top_Nc_mlr = 0.3933 (total_true_lr = 164 total_true_mlr = 239) Precision for 75 - 2czrA top_L5_lr = 0.4444 top_L_lr = 0.1770 top_Nc_lr = 0.1958 top_L5_mlr = 0.6444 top_L_mlr = 0.3363 top_Nc_mlr = 0.2398 (total_true_lr = 189 total_true_mlr = 342) Precision for 76 - 2bh1X top_L5_lr = 0.9286 top_L_lr = 0.5882 top_Nc_lr = 0.7255 top_L5_mlr = 1.0000 top_L_mlr = 0.8382 top_Nc_mlr = 0.7326 (total_true_lr = 51 total_true_mlr = 86) Precision for 77 - 3ghfA top_L5_lr = 0.8500 top_L_lr = 0.5100 top_Nc_lr = 0.4952 top_L5_mlr = 0.7000 top_L_mlr = 0.5400 top_Nc_mlr = 0.5000 (total_true_lr = 105 total_true_mlr = 126) Precision for 78 - 4ui1C top_L5_lr = 0.8571 top_L_lr = 0.4306 top_Nc_lr = 0.4667 top_L5_mlr = 0.8571 top_L_mlr = 0.4861 top_Nc_mlr = 0.4675 (total_true_lr = 60 total_true_mlr = 77) Precision for 79 - 2otaA top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = 0.2308 top_L_mlr = 0.0597 top_Nc_mlr = 0.2000 (total_true_lr = 0 total_true_mlr = 5) Precision for 80 - 1vk1A top_L5_lr = 0.5652 top_L_lr = 0.4009 top_Nc_lr = 0.2990 top_L5_mlr = 0.5435 top_L_mlr = 0.4224 top_Nc_mlr = 0.3095 (total_true_lr = 398 total_true_mlr = 462) Precision for 81 - 1su1A top_L5_lr = 1.0000 top_L_lr = 0.7174 top_Nc_lr = 0.5889 top_L5_mlr = 0.9730 top_L_mlr = 0.8315 top_Nc_mlr = 0.5650 (total_true_lr = 270 total_true_mlr = 423) Precision for 82 - 3sfvB top_L5_lr = 0.4706 top_L_lr = 0.1579 top_Nc_lr = 0.2488 top_L5_mlr = 0.6176 top_L_mlr = 0.2982 top_Nc_mlr = 0.2991 (total_true_lr = 205 total_true_mlr = 341) Precision for 83 - 2f5tX top_L5_lr = 0.7660 top_L_lr = 0.4292 top_Nc_lr = 0.3083 top_L5_mlr = 0.8511 top_L_mlr = 0.5923 top_Nc_mlr = 0.3984 (total_true_lr = 373 total_true_mlr = 507) Precision for 84 - 1xyiA top_L5_lr = 0.1538 top_L_lr = 0.0758 top_Nc_lr = 0.1081 top_L5_mlr = 0.4615 top_L_mlr = 0.3333 top_Nc_mlr = 0.2949 (total_true_lr = 37 total_true_mlr = 78) Precision for 85 - 2okuA top_L5_lr = 0.6667 top_L_lr = 0.4918 top_Nc_lr = 0.4872 top_L5_mlr = 0.6250 top_L_mlr = 0.5000 top_Nc_mlr = 0.4648 (total_true_lr = 117 total_true_mlr = 142) Precision for 86 - 2h5nA top_L5_lr = 0.8846 top_L_lr = 0.4924 top_Nc_lr = 0.4962 top_L5_mlr = 0.8846 top_L_mlr = 0.5227 top_Nc_mlr = 0.5000 (total_true_lr = 131 total_true_mlr = 148) Precision for 87 - 1kptA top_L5_lr = 0.3810 top_L_lr = 0.4476 top_Nc_lr = 0.4171 top_L5_mlr = 0.4286 top_L_mlr = 0.5238 top_Nc_mlr = 0.4498 (total_true_lr = 175 total_true_mlr = 229) Precision for 88 - 2qc5A top_L5_lr = 1.0000 top_L_lr = 0.7651 top_Nc_lr = 0.6578 top_L5_mlr = 1.0000 top_L_mlr = 0.9530 top_Nc_mlr = 0.7128 (total_true_lr = 374 total_true_mlr = 686) Precision for 89 - 2hueC top_L5_lr = 0.4375 top_L_lr = 0.1098 top_Nc_lr = 0.5000 top_L5_mlr = 0.8750 top_L_mlr = 0.2927 top_Nc_mlr = 0.5676 (total_true_lr = 14 total_true_mlr = 37) Precision for 90 - 2i5vO top_L5_lr = 0.0204 top_L_lr = 0.0488 top_Nc_lr = 0.0417 top_L5_mlr = 0.9592 top_L_mlr = 0.5528 top_Nc_mlr = 0.4456 (total_true_lr = 96 total_true_mlr = 386) Precision for 91 - 2gs5A top_L5_lr = 0.9231 top_L_lr = 0.5699 top_Nc_lr = 0.4669 top_L5_mlr = 1.0000 top_L_mlr = 0.7617 top_Nc_mlr = 0.5179 (total_true_lr = 287 total_true_mlr = 390) Precision for 92 - 4lmoA top_L5_lr = 0.8000 top_L_lr = 0.4064 top_Nc_lr = 0.4304 top_L5_mlr = 0.8200 top_L_mlr = 0.4741 top_Nc_mlr = 0.4351 (total_true_lr = 230 total_true_mlr = 285) Precision for 93 - 4njcA top_L5_lr = 1.0000 top_L_lr = 0.7167 top_Nc_lr = 0.7143 top_L5_mlr = 1.0000 top_L_mlr = 0.7667 top_Nc_mlr = 0.6444 (total_true_lr = 63 total_true_mlr = 90) Precision for 94 - 3ronA top_L5_lr = 0.8750 top_L_lr = 0.5174 top_Nc_lr = 0.3725 top_L5_mlr = 0.9250 top_L_mlr = 0.6517 top_Nc_mlr = 0.4350 (total_true_lr = 357 total_true_mlr = 446) Precision for 95 - 3g1pA top_L5_lr = 1.0000 top_L_lr = 0.7349 top_Nc_lr = 0.6020 top_L5_mlr = 1.0000 top_L_mlr = 0.8835 top_Nc_mlr = 0.6439 (total_true_lr = 402 total_true_mlr = 570) Precision for 96 - 4m8aA top_L5_lr = 0.3077 top_L_lr = 0.1343 top_Nc_lr = 0.1667 top_L5_mlr = 0.8462 top_L_mlr = 0.3433 top_Nc_mlr = 0.2824 (total_true_lr = 54 total_true_mlr = 85) Precision for 97 - 3ajfA top_L5_lr = 0.0556 top_L_lr = 0.0978 top_Nc_lr = 0.0862 top_L5_mlr = 0.1667 top_L_mlr = 0.0978 top_Nc_mlr = 0.0750 (total_true_lr = 58 total_true_mlr = 80) Precision for 98 - 1j8uA top_L5_lr = 0.8525 top_L_lr = 0.4593 top_Nc_lr = 0.4066 top_L5_mlr = 0.8689 top_L_mlr = 0.5896 top_Nc_mlr = 0.4355 (total_true_lr = 423 total_true_mlr = 535) Precision for 99 - 4u65A top_L5_lr = 0.8846 top_L_lr = 0.4885 top_Nc_lr = 0.4459 top_L5_mlr = 1.0000 top_L_mlr = 0.6718 top_Nc_mlr = 0.5291 (total_true_lr = 148 total_true_mlr = 189) Average Precision: top_L5_lr = 74.73 top_L_lr = 48.04 top_Nc_lr = 46.08 top_L5_mlr = 80.42 top_L_mlr = 58.49 top_Nc_mlr = 48.79 Evaluate test set.. Model params: L 512 num_blocks 128 width 64 expected_n_channels 57 1/150 [..............................] - ETA: 37:03 2/150 [..............................] - ETA: 19:35 3/150 [..............................] - ETA: 13:44 4/150 [..............................] - ETA: 10:49 5/150 [>.............................] - ETA: 9:03  6/150 [>.............................] - ETA: 7:53 7/150 [>.............................] - ETA: 7:02 8/150 [>.............................] - ETA: 6:23 9/150 [>.............................] - ETA: 5:53 10/150 [=>............................] - ETA: 5:29 11/150 [=>............................] - ETA: 5:09 12/150 [=>............................] - ETA: 4:52 13/150 [=>............................] - ETA: 4:38 14/150 [=>............................] - ETA: 4:25 15/150 [==>...........................] - ETA: 4:15 16/150 [==>...........................] - ETA: 4:05 17/150 [==>...........................] - ETA: 3:56 18/150 [==>...........................] - ETA: 3:48 19/150 [==>...........................] - 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ETA: 11s 140/150 [===========================>..] - ETA: 10s 141/150 [===========================>..] - ETA: 9s  142/150 [===========================>..] - ETA: 8s 143/150 [===========================>..] - ETA: 7s 144/150 [===========================>..] - ETA: 6s 145/150 [============================>.] - ETA: 5s 146/150 [============================>.] - ETA: 4s 147/150 [============================>.] - ETA: 3s 148/150 [============================>.] - ETA: 2s 149/150 [============================>.] - ETA: 1s 150/150 [==============================] - 158s 1s/step Precision for 0 - 1a3aA top_L5_lr = 0.9655 top_L_lr = 0.7931 top_Nc_lr = 0.6550 top_L5_mlr = 0.9310 top_L_mlr = 0.8621 top_Nc_mlr = 0.6855 (total_true_lr = 229 total_true_mlr = 283) Precision for 1 - 1a6mA top_L5_lr = 1.0000 top_L_lr = 0.7483 top_Nc_lr = 0.7500 top_L5_mlr = 1.0000 top_L_mlr = 0.8146 top_Nc_mlr = 0.7486 (total_true_lr = 152 total_true_mlr = 175) Precision for 2 - 1a70A top_L5_lr = 1.0000 top_L_lr = 0.7835 top_Nc_lr = 0.6899 top_L5_mlr = 1.0000 top_L_mlr = 0.8969 top_Nc_mlr = 0.6947 (total_true_lr = 129 total_true_mlr = 190) Precision for 3 - 1aapA top_L5_lr = 1.0000 top_L_lr = 0.5893 top_Nc_lr = 0.5965 top_L5_mlr = 0.9091 top_L_mlr = 0.8929 top_Nc_mlr = 0.6634 (total_true_lr = 57 total_true_mlr = 101) Precision for 4 - 1abaA top_L5_lr = 1.0000 top_L_lr = 0.7356 top_Nc_lr = 0.8101 top_L5_mlr = 1.0000 top_L_mlr = 0.8161 top_Nc_mlr = 0.7184 (total_true_lr = 79 total_true_mlr = 103) Precision for 5 - 1ag6A top_L5_lr = 1.0000 top_L_lr = 0.7576 top_Nc_lr = 0.5988 top_L5_mlr = 1.0000 top_L_mlr = 0.8283 top_Nc_mlr = 0.6106 (total_true_lr = 162 total_true_mlr = 208) Precision for 6 - 1aoeA top_L5_lr = 0.8421 top_L_lr = 0.6615 top_Nc_lr = 0.5552 top_L5_mlr = 0.9474 top_L_mlr = 0.7188 top_Nc_mlr = 0.5650 (total_true_lr = 281 total_true_mlr = 354) Precision for 7 - 1atlA top_L5_lr = 1.0000 top_L_lr = 0.7600 top_Nc_lr = 0.6125 top_L5_mlr = 1.0000 top_L_mlr = 0.7950 top_Nc_mlr = 0.6084 (total_true_lr = 320 total_true_mlr = 406) Precision for 8 - 1atzA top_L5_lr = 1.0000 top_L_lr = 0.8000 top_Nc_lr = 0.8116 top_L5_mlr = 1.0000 top_L_mlr = 0.8000 top_Nc_mlr = 0.7396 (total_true_lr = 69 total_true_mlr = 96) Precision for 9 - 1avsA top_L5_lr = 0.8750 top_L_lr = 0.3457 top_Nc_lr = 0.5789 top_L5_mlr = 0.9375 top_L_mlr = 0.5185 top_Nc_mlr = 0.6333 (total_true_lr = 38 total_true_mlr = 60) Precision for 10 - 1bdoA top_L5_lr = 1.0000 top_L_lr = 0.9000 top_Nc_lr = 0.7478 top_L5_mlr = 1.0000 top_L_mlr = 0.9750 top_Nc_mlr = 0.7725 (total_true_lr = 115 total_true_mlr = 167) Precision for 11 - 1bebA top_L5_lr = 0.9032 top_L_lr = 0.4872 top_Nc_lr = 0.4192 top_L5_mlr = 0.9677 top_L_mlr = 0.7821 top_Nc_mlr = 0.5449 (total_true_lr = 198 total_true_mlr = 301) Precision for 12 - 1behA top_L5_lr = 0.9459 top_L_lr = 0.7935 top_Nc_lr = 0.5192 top_L5_mlr = 1.0000 top_L_mlr = 0.8370 top_Nc_mlr = 0.5349 (total_true_lr = 364 total_true_mlr = 430) Precision for 13 - 1bkrA top_L5_lr = 0.7727 top_L_lr = 0.5648 top_Nc_lr = 0.5977 top_L5_mlr = 1.0000 top_L_mlr = 0.7407 top_Nc_mlr = 0.6357 (total_true_lr = 87 total_true_mlr = 129) Precision for 14 - 1brfA top_L5_lr = 1.0000 top_L_lr = 0.6415 top_Nc_lr = 0.7073 top_L5_mlr = 1.0000 top_L_mlr = 0.7358 top_Nc_mlr = 0.6833 (total_true_lr = 41 total_true_mlr = 60) Precision for 15 - 1bsgA top_L5_lr = 0.9811 top_L_lr = 0.7782 top_Nc_lr = 0.6279 top_L5_mlr = 1.0000 top_L_mlr = 0.8647 top_Nc_mlr = 0.6509 (total_true_lr = 438 total_true_mlr = 570) Precision for 16 - 1c44A top_L5_lr = 1.0000 top_L_lr = 0.6748 top_Nc_lr = 0.5663 top_L5_mlr = 1.0000 top_L_mlr = 0.7967 top_Nc_mlr = 0.6000 (total_true_lr = 166 total_true_mlr = 210) Precision for 17 - 1c52A top_L5_lr = 0.8462 top_L_lr = 0.4885 top_Nc_lr = 0.4062 top_L5_mlr = 0.8846 top_L_mlr = 0.6107 top_Nc_mlr = 0.4924 (total_true_lr = 160 total_true_mlr = 197) Precision for 18 - 1c9oA top_L5_lr = 1.0000 top_L_lr = 0.7879 top_Nc_lr = 0.7429 top_L5_mlr = 1.0000 top_L_mlr = 0.8485 top_Nc_mlr = 0.7544 (total_true_lr = 70 total_true_mlr = 114) Precision for 19 - 1cc8A top_L5_lr = 1.0000 top_L_lr = 0.9028 top_Nc_lr = 0.8523 top_L5_mlr = 1.0000 top_L_mlr = 0.8333 top_Nc_mlr = 0.7632 (total_true_lr = 88 total_true_mlr = 114) Precision for 20 - 1chdA top_L5_lr = 0.9750 top_L_lr = 0.8990 top_Nc_lr = 0.7380 top_L5_mlr = 1.0000 top_L_mlr = 0.9444 top_Nc_mlr = 0.7357 (total_true_lr = 416 total_true_mlr = 507) Precision for 21 - 1cjwA top_L5_lr = 0.9697 top_L_lr = 0.6867 top_Nc_lr = 0.5963 top_L5_mlr = 0.9697 top_L_mlr = 0.8072 top_Nc_mlr = 0.6176 (total_true_lr = 218 total_true_mlr = 306) Precision for 22 - 1ckeA top_L5_lr = 0.8571 top_L_lr = 0.7736 top_Nc_lr = 0.6633 top_L5_mlr = 0.9286 top_L_mlr = 0.7877 top_Nc_mlr = 0.6667 (total_true_lr = 297 total_true_mlr = 339) Precision for 23 - 1ctfA top_L5_lr = 1.0000 top_L_lr = 0.9412 top_Nc_lr = 0.8706 top_L5_mlr = 1.0000 top_L_mlr = 0.9559 top_Nc_mlr = 0.8286 (total_true_lr = 85 total_true_mlr = 105) Precision for 24 - 1cxyA top_L5_lr = 1.0000 top_L_lr = 0.7037 top_Nc_lr = 0.6905 top_L5_mlr = 1.0000 top_L_mlr = 0.7654 top_Nc_mlr = 0.6832 (total_true_lr = 84 total_true_mlr = 101) Precision for 25 - 1cznA top_L5_lr = 1.0000 top_L_lr = 0.8402 top_Nc_lr = 0.6329 top_L5_mlr = 1.0000 top_L_mlr = 0.8580 top_Nc_mlr = 0.6181 (total_true_lr = 316 total_true_mlr = 364) Precision for 26 - 1d0qA top_L5_lr = 0.7500 top_L_lr = 0.4608 top_Nc_lr = 0.6818 top_L5_mlr = 0.8500 top_L_mlr = 0.7451 top_Nc_mlr = 0.6897 (total_true_lr = 66 total_true_mlr = 116) Precision for 27 - 1d1qA top_L5_lr = 0.9688 top_L_lr = 0.8491 top_Nc_lr = 0.7043 top_L5_mlr = 1.0000 top_L_mlr = 0.8868 top_Nc_mlr = 0.7147 (total_true_lr = 257 total_true_mlr = 319) Precision for 28 - 1d4oA top_L5_lr = 0.9429 top_L_lr = 0.6667 top_Nc_lr = 0.5368 top_L5_mlr = 0.9429 top_L_mlr = 0.6667 top_Nc_mlr = 0.5204 (total_true_lr = 326 total_true_mlr = 367) Precision for 29 - 1dbxA top_L5_lr = 0.9667 top_L_lr = 0.8224 top_Nc_lr = 0.6889 top_L5_mlr = 1.0000 top_L_mlr = 0.9079 top_Nc_mlr = 0.7083 (total_true_lr = 270 total_true_mlr = 336) Precision for 30 - 1dixA top_L5_lr = 0.9286 top_L_lr = 0.5962 top_Nc_lr = 0.4756 top_L5_mlr = 0.9524 top_L_mlr = 0.6923 top_Nc_mlr = 0.5000 (total_true_lr = 328 total_true_mlr = 380) Precision for 31 - 1dlwA top_L5_lr = 1.0000 top_L_lr = 0.6552 top_Nc_lr = 0.6981 top_L5_mlr = 1.0000 top_L_mlr = 0.7414 top_Nc_mlr = 0.7040 (total_true_lr = 106 total_true_mlr = 125) Precision for 32 - 1dmgA top_L5_lr = 1.0000 top_L_lr = 0.7209 top_Nc_lr = 0.6485 top_L5_mlr = 1.0000 top_L_mlr = 0.8081 top_Nc_mlr = 0.6419 (total_true_lr = 239 total_true_mlr = 296) Precision for 33 - 1dqgA top_L5_lr = 0.1111 top_L_lr = 0.1940 top_Nc_lr = 0.2073 top_L5_mlr = 0.5556 top_L_mlr = 0.3209 top_Nc_mlr = 0.2811 (total_true_lr = 164 total_true_mlr = 249) Precision for 34 - 1dsxA top_L5_lr = 0.9412 top_L_lr = 0.4598 top_Nc_lr = 0.5652 top_L5_mlr = 0.9412 top_L_mlr = 0.5977 top_Nc_mlr = 0.5625 (total_true_lr = 69 total_true_mlr = 96) Precision for 35 - 1eazA top_L5_lr = 0.9048 top_L_lr = 0.4951 top_Nc_lr = 0.5797 top_L5_mlr = 1.0000 top_L_mlr = 0.8835 top_Nc_mlr = 0.7278 (total_true_lr = 69 total_true_mlr = 158) Precision for 36 - 1ej0A top_L5_lr = 1.0000 top_L_lr = 0.7722 top_Nc_lr = 0.6255 top_L5_mlr = 1.0000 top_L_mlr = 0.9000 top_Nc_mlr = 0.6827 (total_true_lr = 259 total_true_mlr = 375) Precision for 37 - 1ej8A top_L5_lr = 0.7143 top_L_lr = 0.6714 top_Nc_lr = 0.4752 top_L5_mlr = 0.8214 top_L_mlr = 0.7929 top_Nc_mlr = 0.4848 (total_true_lr = 242 total_true_mlr = 328) Precision for 38 - 1ek0A top_L5_lr = 1.0000 top_L_lr = 0.8810 top_Nc_lr = 0.7270 top_L5_mlr = 1.0000 top_L_mlr = 0.8988 top_Nc_mlr = 0.7018 (total_true_lr = 282 total_true_mlr = 342) Precision for 39 - 1f6bA top_L5_lr = 0.8571 top_L_lr = 0.7159 top_Nc_lr = 0.5962 top_L5_mlr = 0.8571 top_L_mlr = 0.7330 top_Nc_mlr = 0.5581 (total_true_lr = 260 total_true_mlr = 310) Precision for 40 - 1fcyA top_L5_lr = 0.8298 top_L_lr = 0.4364 top_Nc_lr = 0.4014 top_L5_mlr = 0.8936 top_L_mlr = 0.4788 top_Nc_mlr = 0.4202 (total_true_lr = 289 total_true_mlr = 326) Precision for 41 - 1fk5A top_L5_lr = 0.7368 top_L_lr = 0.4409 top_Nc_lr = 0.4300 top_L5_mlr = 0.7895 top_L_mlr = 0.4194 top_Nc_mlr = 0.4132 (total_true_lr = 100 total_true_mlr = 121) Precision for 42 - 1fl0A top_L5_lr = 0.9091 top_L_lr = 0.6951 top_Nc_lr = 0.5055 top_L5_mlr = 0.9697 top_L_mlr = 0.7866 top_Nc_mlr = 0.5214 (total_true_lr = 275 total_true_mlr = 351) Precision for 43 - 1fnaA top_L5_lr = 1.0000 top_L_lr = 0.7802 top_Nc_lr = 0.6720 top_L5_mlr = 1.0000 top_L_mlr = 0.8132 top_Nc_mlr = 0.6936 (total_true_lr = 125 total_true_mlr = 173) Precision for 44 - 1fqtA top_L5_lr = 0.9091 top_L_lr = 0.7706 top_Nc_lr = 0.7748 top_L5_mlr = 1.0000 top_L_mlr = 0.9174 top_Nc_mlr = 0.7114 (total_true_lr = 111 total_true_mlr = 201) Precision for 45 - 1fvgA top_L5_lr = 1.0000 top_L_lr = 0.8385 top_Nc_lr = 0.6304 top_L5_mlr = 1.0000 top_L_mlr = 0.8594 top_Nc_mlr = 0.6466 (total_true_lr = 349 total_true_mlr = 399) Precision for 46 - 1fvkA top_L5_lr = 0.9474 top_L_lr = 0.6543 top_Nc_lr = 0.5737 top_L5_mlr = 0.9737 top_L_mlr = 0.7128 top_Nc_mlr = 0.5786 (total_true_lr = 251 total_true_mlr = 280) Precision for 47 - 1fx2A top_L5_lr = 1.0000 top_L_lr = 0.5268 top_Nc_lr = 0.6129 top_L5_mlr = 1.0000 top_L_mlr = 0.6607 top_Nc_mlr = 0.6441 (total_true_lr = 93 total_true_mlr = 118) Precision for 48 - 1g2rA top_L5_lr = 0.9474 top_L_lr = 0.5745 top_Nc_lr = 0.6494 top_L5_mlr = 0.9474 top_L_mlr = 0.7021 top_Nc_mlr = 0.6240 (total_true_lr = 77 total_true_mlr = 125) Precision for 49 - 1g9oA top_L5_lr = 1.0000 top_L_lr = 0.7912 top_Nc_lr = 0.7315 top_L5_mlr = 1.0000 top_L_mlr = 0.9890 top_Nc_mlr = 0.7848 (total_true_lr = 108 total_true_mlr = 158) Precision for 50 - 1gbsA top_L5_lr = 0.9189 top_L_lr = 0.4270 top_Nc_lr = 0.4058 top_L5_mlr = 0.9730 top_L_mlr = 0.6162 top_Nc_mlr = 0.4373 (total_true_lr = 207 total_true_mlr = 311) Precision for 51 - 1gmiA top_L5_lr = 1.0000 top_L_lr = 0.8741 top_Nc_lr = 0.7409 top_L5_mlr = 1.0000 top_L_mlr = 0.9556 top_Nc_mlr = 0.7416 (total_true_lr = 220 total_true_mlr = 298) Precision for 52 - 1gmxA top_L5_lr = 1.0000 top_L_lr = 0.7383 top_Nc_lr = 0.6528 top_L5_mlr = 1.0000 top_L_mlr = 0.8411 top_Nc_mlr = 0.6596 (total_true_lr = 144 total_true_mlr = 188) Precision for 53 - 1guuA top_L5_lr = 0.6000 top_L_lr = 0.2200 top_Nc_lr = 0.6154 top_L5_mlr = 1.0000 top_L_mlr = 0.4400 top_Nc_mlr = 0.6333 (total_true_lr = 13 total_true_mlr = 30) Precision for 54 - 1gz2A top_L5_lr = 0.9643 top_L_lr = 0.7899 top_Nc_lr = 0.6216 top_L5_mlr = 1.0000 top_L_mlr = 0.8261 top_Nc_mlr = 0.6140 (total_true_lr = 222 total_true_mlr = 272) Precision for 55 - 1gzcA top_L5_lr = 0.9792 top_L_lr = 0.8787 top_Nc_lr = 0.6166 top_L5_mlr = 0.9792 top_L_mlr = 0.9121 top_Nc_mlr = 0.6111 (total_true_lr = 493 total_true_mlr = 630) Precision for 56 - 1h0pA top_L5_lr = 1.0000 top_L_lr = 0.8681 top_Nc_lr = 0.6504 top_L5_mlr = 1.0000 top_L_mlr = 0.9341 top_Nc_mlr = 0.6605 (total_true_lr = 349 total_true_mlr = 433) Precision for 57 - 1h2eA top_L5_lr = 1.0000 top_L_lr = 0.8647 top_Nc_lr = 0.7224 top_L5_mlr = 1.0000 top_L_mlr = 0.9130 top_Nc_mlr = 0.7221 (total_true_lr = 317 total_true_mlr = 403) Precision for 58 - 1h4xA top_L5_lr = 0.9545 top_L_lr = 0.7455 top_Nc_lr = 0.6614 top_L5_mlr = 0.9091 top_L_mlr = 0.7909 top_Nc_mlr = 0.6347 (total_true_lr = 127 total_true_mlr = 167) Precision for 59 - 1h98A top_L5_lr = 0.8000 top_L_lr = 0.4545 top_Nc_lr = 0.4205 top_L5_mlr = 0.7333 top_L_mlr = 0.4935 top_Nc_mlr = 0.3947 (total_true_lr = 88 total_true_mlr = 114) Precision for 60 - 1hdoA top_L5_lr = 0.9756 top_L_lr = 0.8878 top_Nc_lr = 0.6761 top_L5_mlr = 1.0000 top_L_mlr = 0.9659 top_Nc_mlr = 0.6947 (total_true_lr = 352 total_true_mlr = 475) Precision for 61 - 1hfcA top_L5_lr = 0.9677 top_L_lr = 0.5924 top_Nc_lr = 0.5089 top_L5_mlr = 0.9677 top_L_mlr = 0.6879 top_Nc_mlr = 0.5108 (total_true_lr = 224 total_true_mlr = 278) Precision for 62 - 1hh8A top_L5_lr = 0.8947 top_L_lr = 0.3906 top_Nc_lr = 0.4128 top_L5_mlr = 1.0000 top_L_mlr = 0.7135 top_Nc_mlr = 0.5424 (total_true_lr = 172 total_true_mlr = 271) Precision for 63 - 1htwA top_L5_lr = 1.0000 top_L_lr = 0.7658 top_Nc_lr = 0.6532 top_L5_mlr = 1.0000 top_L_mlr = 0.8608 top_Nc_mlr = 0.6351 (total_true_lr = 222 total_true_mlr = 285) Precision for 64 - 1hxnA top_L5_lr = 0.7619 top_L_lr = 0.2952 top_Nc_lr = 0.2960 top_L5_mlr = 0.9762 top_L_mlr = 0.6571 top_Nc_mlr = 0.4389 (total_true_lr = 223 total_true_mlr = 401) Precision for 65 - 1i1jA top_L5_lr = 1.0000 top_L_lr = 0.5189 top_Nc_lr = 0.4231 top_L5_mlr = 1.0000 top_L_mlr = 0.8396 top_Nc_mlr = 0.5662 (total_true_lr = 156 total_true_mlr = 219) Precision for 66 - 1i1nA top_L5_lr = 0.9333 top_L_lr = 0.7188 top_Nc_lr = 0.5976 top_L5_mlr = 1.0000 top_L_mlr = 0.8616 top_Nc_mlr = 0.6523 (total_true_lr = 328 total_true_mlr = 486) Precision for 67 - 1i4jA top_L5_lr = 1.0000 top_L_lr = 0.9091 top_Nc_lr = 0.7683 top_L5_mlr = 1.0000 top_L_mlr = 0.9636 top_Nc_mlr = 0.7805 (total_true_lr = 164 total_true_mlr = 205) Precision for 68 - 1i58A top_L5_lr = 0.9474 top_L_lr = 0.6561 top_Nc_lr = 0.6008 top_L5_mlr = 0.9737 top_L_mlr = 0.7460 top_Nc_mlr = 0.6133 (total_true_lr = 238 total_true_mlr = 300) Precision for 69 - 1i5gA top_L5_lr = 1.0000 top_L_lr = 0.5972 top_Nc_lr = 0.5344 top_L5_mlr = 1.0000 top_L_mlr = 0.6042 top_Nc_mlr = 0.4800 (total_true_lr = 189 total_true_mlr = 250) Precision for 70 - 1i71A top_L5_lr = 0.7647 top_L_lr = 0.6386 top_Nc_lr = 0.6038 top_L5_mlr = 0.8235 top_L_mlr = 0.6506 top_Nc_mlr = 0.5489 (total_true_lr = 106 total_true_mlr = 133) Precision for 71 - 1ihzA top_L5_lr = 0.8889 top_L_lr = 0.7500 top_Nc_lr = 0.6464 top_L5_mlr = 0.9259 top_L_mlr = 0.9044 top_Nc_mlr = 0.6988 (total_true_lr = 181 total_true_mlr = 249) Precision for 72 - 1iibA top_L5_lr = 1.0000 top_L_lr = 0.8350 top_Nc_lr = 0.7937 top_L5_mlr = 1.0000 top_L_mlr = 0.9223 top_Nc_mlr = 0.7956 (total_true_lr = 126 total_true_mlr = 181) Precision for 73 - 1im5A top_L5_lr = 1.0000 top_L_lr = 0.8156 top_Nc_lr = 0.6079 top_L5_mlr = 1.0000 top_L_mlr = 0.8324 top_Nc_mlr = 0.6011 (total_true_lr = 329 total_true_mlr = 371) Precision for 74 - 1iwdA top_L5_lr = 0.9767 top_L_lr = 0.7628 top_Nc_lr = 0.6220 top_L5_mlr = 0.9767 top_L_mlr = 0.8419 top_Nc_mlr = 0.6417 (total_true_lr = 381 total_true_mlr = 480) Precision for 75 - 1j3aA top_L5_lr = 1.0000 top_L_lr = 0.7597 top_Nc_lr = 0.5446 top_L5_mlr = 1.0000 top_L_mlr = 0.7442 top_Nc_mlr = 0.5398 (total_true_lr = 213 total_true_mlr = 226) Precision for 76 - 1jbeA top_L5_lr = 0.9600 top_L_lr = 0.8095 top_Nc_lr = 0.7687 top_L5_mlr = 0.9600 top_L_mlr = 0.9127 top_Nc_mlr = 0.7783 (total_true_lr = 147 total_true_mlr = 212) Precision for 77 - 1jbkA top_L5_lr = 0.9737 top_L_lr = 0.6984 top_Nc_lr = 0.5904 top_L5_mlr = 0.9737 top_L_mlr = 0.6931 top_Nc_mlr = 0.5691 (total_true_lr = 293 total_true_mlr = 311) Precision for 78 - 1jfuA top_L5_lr = 0.9143 top_L_lr = 0.7386 top_Nc_lr = 0.5922 top_L5_mlr = 0.9143 top_L_mlr = 0.7784 top_Nc_mlr = 0.5879 (total_true_lr = 309 total_true_mlr = 364) Precision for 79 - 1jfxA top_L5_lr = 1.0000 top_L_lr = 0.7419 top_Nc_lr = 0.6169 top_L5_mlr = 0.9767 top_L_mlr = 0.8571 top_Nc_mlr = 0.6569 (total_true_lr = 355 total_true_mlr = 478) Precision for 80 - 1jkxA top_L5_lr = 1.0000 top_L_lr = 0.8947 top_Nc_lr = 0.7347 top_L5_mlr = 1.0000 top_L_mlr = 0.9378 top_Nc_mlr = 0.7531 (total_true_lr = 294 total_true_mlr = 397) Precision for 81 - 1jl1A top_L5_lr = 1.0000 top_L_lr = 0.8355 top_Nc_lr = 0.7284 top_L5_mlr = 1.0000 top_L_mlr = 0.8947 top_Nc_mlr = 0.7508 (total_true_lr = 243 total_true_mlr = 305) Precision for 82 - 1jo0A top_L5_lr = 1.0000 top_L_lr = 0.6804 top_Nc_lr = 0.6574 top_L5_mlr = 1.0000 top_L_mlr = 0.7732 top_Nc_mlr = 0.6870 (total_true_lr = 108 total_true_mlr = 131) Precision for 83 - 1jo8A top_L5_lr = 0.9167 top_L_lr = 0.5690 top_Nc_lr = 0.6522 top_L5_mlr = 1.0000 top_L_mlr = 0.9655 top_Nc_mlr = 0.7938 (total_true_lr = 46 total_true_mlr = 97) Precision for 84 - 1josA top_L5_lr = 0.9500 top_L_lr = 0.7100 top_Nc_lr = 0.6857 top_L5_mlr = 1.0000 top_L_mlr = 0.8800 top_Nc_mlr = 0.7397 (total_true_lr = 105 total_true_mlr = 146) Precision for 85 - 1jvwA top_L5_lr = 1.0000 top_L_lr = 0.8500 top_Nc_lr = 0.7160 top_L5_mlr = 1.0000 top_L_mlr = 0.9062 top_Nc_mlr = 0.7450 (total_true_lr = 243 total_true_mlr = 298) Precision for 86 - 1jwqA top_L5_lr = 1.0000 top_L_lr = 0.9777 top_Nc_lr = 0.8066 top_L5_mlr = 1.0000 top_L_mlr = 0.9777 top_Nc_mlr = 0.7902 (total_true_lr = 362 total_true_mlr = 410) Precision for 87 - 1jyhA top_L5_lr = 1.0000 top_L_lr = 0.8581 top_Nc_lr = 0.7391 top_L5_mlr = 1.0000 top_L_mlr = 0.9161 top_Nc_mlr = 0.7448 (total_true_lr = 230 total_true_mlr = 286) Precision for 88 - 1k6kA top_L5_lr = 1.0000 top_L_lr = 0.7746 top_Nc_lr = 0.6936 top_L5_mlr = 1.0000 top_L_mlr = 0.8803 top_Nc_mlr = 0.7233 (total_true_lr = 173 total_true_mlr = 206) Precision for 89 - 1k7cA top_L5_lr = 0.9787 top_L_lr = 0.8026 top_Nc_lr = 0.6067 top_L5_mlr = 0.9787 top_L_mlr = 0.8369 top_Nc_mlr = 0.5917 (total_true_lr = 417 total_true_mlr = 507) Precision for 90 - 1k7jA top_L5_lr = 1.0000 top_L_lr = 0.8592 top_Nc_lr = 0.6742 top_L5_mlr = 1.0000 top_L_mlr = 0.9078 top_Nc_mlr = 0.6879 (total_true_lr = 353 total_true_mlr = 455) Precision for 91 - 1kidA top_L5_lr = 0.9744 top_L_lr = 0.8031 top_Nc_lr = 0.5786 top_L5_mlr = 1.0000 top_L_mlr = 0.8549 top_Nc_mlr = 0.6031 (total_true_lr = 337 total_true_mlr = 383) Precision for 92 - 1kq6A top_L5_lr = 0.6429 top_L_lr = 0.3929 top_Nc_lr = 0.4380 top_L5_mlr = 0.9643 top_L_mlr = 0.5929 top_Nc_mlr = 0.5465 (total_true_lr = 121 total_true_mlr = 172) Precision for 93 - 1kqrA top_L5_lr = 0.9688 top_L_lr = 0.4813 top_Nc_lr = 0.3511 top_L5_mlr = 0.9375 top_L_mlr = 0.6562 top_Nc_mlr = 0.4069 (total_true_lr = 262 total_true_mlr = 376) Precision for 94 - 1ktgA top_L5_lr = 0.7407 top_L_lr = 0.7153 top_Nc_lr = 0.6291 top_L5_mlr = 0.7778 top_L_mlr = 0.6496 top_Nc_mlr = 0.5906 (total_true_lr = 213 total_true_mlr = 254) Precision for 95 - 1ku3A top_L5_lr = 0.9167 top_L_lr = 0.4426 top_Nc_lr = 0.6207 top_L5_mlr = 1.0000 top_L_mlr = 0.4590 top_Nc_mlr = 0.6486 (total_true_lr = 29 total_true_mlr = 37) Precision for 96 - 1kw4A top_L5_lr = 0.7857 top_L_lr = 0.4714 top_Nc_lr = 0.6364 top_L5_mlr = 1.0000 top_L_mlr = 0.6429 top_Nc_mlr = 0.6462 (total_true_lr = 44 total_true_mlr = 65) Precision for 97 - 1lm4A top_L5_lr = 0.8947 top_L_lr = 0.6190 top_Nc_lr = 0.4862 top_L5_mlr = 0.9737 top_L_mlr = 0.7460 top_Nc_mlr = 0.5184 (total_true_lr = 325 total_true_mlr = 407) Precision for 98 - 1lo7A top_L5_lr = 1.0000 top_L_lr = 0.8714 top_Nc_lr = 0.7807 top_L5_mlr = 1.0000 top_L_mlr = 0.9429 top_Nc_mlr = 0.7957 (total_true_lr = 187 total_true_mlr = 235) Precision for 99 - 1lpyA top_L5_lr = 0.6875 top_L_lr = 0.3827 top_Nc_lr = 0.4569 top_L5_mlr = 0.7500 top_L_mlr = 0.5000 top_Nc_mlr = 0.4830 (total_true_lr = 116 total_true_mlr = 176) Precision for 100 - 1m4jA top_L5_lr = 0.8519 top_L_lr = 0.6090 top_Nc_lr = 0.5714 top_L5_mlr = 0.8519 top_L_mlr = 0.6692 top_Nc_mlr = 0.5721 (total_true_lr = 154 total_true_mlr = 215) Precision for 101 - 1m8aA top_L5_lr = 0.8333 top_L_lr = 0.3934 top_Nc_lr = 0.4737 top_L5_mlr = 1.0000 top_L_mlr = 0.7377 top_Nc_mlr = 0.6806 (total_true_lr = 38 total_true_mlr = 72) Precision for 102 - 1mk0A top_L5_lr = 1.0000 top_L_lr = 0.6598 top_Nc_lr = 0.6226 top_L5_mlr = 1.0000 top_L_mlr = 0.7216 top_Nc_mlr = 0.6309 (total_true_lr = 106 total_true_mlr = 149) Precision for 103 - 1mugA top_L5_lr = 0.9697 top_L_lr = 0.7939 top_Nc_lr = 0.6215 top_L5_mlr = 0.9697 top_L_mlr = 0.8061 top_Nc_mlr = 0.5947 (total_true_lr = 251 total_true_mlr = 301) Precision for 104 - 1nb9A top_L5_lr = 0.9655 top_L_lr = 0.7211 top_Nc_lr = 0.5931 top_L5_mlr = 0.9655 top_L_mlr = 0.8503 top_Nc_mlr = 0.6554 (total_true_lr = 204 total_true_mlr = 267) Precision for 105 - 1ne2A top_L5_lr = 0.9714 top_L_lr = 0.4659 top_Nc_lr = 0.3933 top_L5_mlr = 0.9714 top_L_mlr = 0.6989 top_Nc_mlr = 0.4561 (total_true_lr = 239 total_true_mlr = 399) Precision for 106 - 1npsA top_L5_lr = 0.9444 top_L_lr = 0.7500 top_Nc_lr = 0.6397 top_L5_mlr = 1.0000 top_L_mlr = 0.8295 top_Nc_mlr = 0.6180 (total_true_lr = 136 total_true_mlr = 178) Precision for 107 - 1nrvA top_L5_lr = 0.7500 top_L_lr = 0.5400 top_Nc_lr = 0.5385 top_L5_mlr = 1.0000 top_L_mlr = 0.7100 top_Nc_mlr = 0.6027 (total_true_lr = 91 total_true_mlr = 146) Precision for 108 - 1ny1A top_L5_lr = 0.9787 top_L_lr = 0.8043 top_Nc_lr = 0.6058 top_L5_mlr = 0.9574 top_L_mlr = 0.8553 top_Nc_mlr = 0.6091 (total_true_lr = 416 total_true_mlr = 486) Precision for 109 - 1o1zA top_L5_lr = 1.0000 top_L_lr = 0.8319 top_Nc_lr = 0.7329 top_L5_mlr = 1.0000 top_L_mlr = 0.9159 top_Nc_mlr = 0.7435 (total_true_lr = 292 total_true_mlr = 421) Precision for 110 - 1p90A top_L5_lr = 1.0000 top_L_lr = 0.6260 top_Nc_lr = 0.6087 top_L5_mlr = 1.0000 top_L_mlr = 0.9431 top_Nc_mlr = 0.6758 (total_true_lr = 138 total_true_mlr = 219) Precision for 111 - 1pchA top_L5_lr = 1.0000 top_L_lr = 0.8523 top_Nc_lr = 0.7388 top_L5_mlr = 1.0000 top_L_mlr = 0.8977 top_Nc_mlr = 0.7290 (total_true_lr = 134 total_true_mlr = 155) Precision for 112 - 1pkoA top_L5_lr = 1.0000 top_L_lr = 0.8145 top_Nc_lr = 0.6879 top_L5_mlr = 1.0000 top_L_mlr = 0.9032 top_Nc_mlr = 0.6885 (total_true_lr = 173 total_true_mlr = 260) Precision for 113 - 1qf9A top_L5_lr = 1.0000 top_L_lr = 0.7423 top_Nc_lr = 0.6287 top_L5_mlr = 1.0000 top_L_mlr = 0.7577 top_Nc_mlr = 0.6164 (total_true_lr = 272 total_true_mlr = 305) Precision for 114 - 1qjpA top_L5_lr = 1.0000 top_L_lr = 0.8175 top_Nc_lr = 0.7018 top_L5_mlr = 1.0000 top_L_mlr = 1.0000 top_Nc_mlr = 0.8119 (total_true_lr = 171 total_true_mlr = 319) Precision for 115 - 1ql0A top_L5_lr = 0.9583 top_L_lr = 0.5975 top_Nc_lr = 0.4385 top_L5_mlr = 0.9792 top_L_mlr = 0.7220 top_Nc_mlr = 0.4782 (total_true_lr = 431 total_true_mlr = 550) Precision for 116 - 1r26A top_L5_lr = 1.0000 top_L_lr = 0.7965 top_Nc_lr = 0.7500 top_L5_mlr = 1.0000 top_L_mlr = 0.8407 top_Nc_mlr = 0.7321 (total_true_lr = 144 total_true_mlr = 168) Precision for 117 - 1roaA top_L5_lr = 0.9545 top_L_lr = 0.7387 top_Nc_lr = 0.6327 top_L5_mlr = 1.0000 top_L_mlr = 0.9189 top_Nc_mlr = 0.7273 (total_true_lr = 147 total_true_mlr = 209) Precision for 118 - 1rw1A top_L5_lr = 1.0000 top_L_lr = 0.7544 top_Nc_lr = 0.7520 top_L5_mlr = 1.0000 top_L_mlr = 0.7982 top_Nc_mlr = 0.7400 (total_true_lr = 125 total_true_mlr = 150) Precision for 119 - 1rw7A top_L5_lr = 0.9787 top_L_lr = 0.8553 top_Nc_lr = 0.6535 top_L5_mlr = 0.9787 top_L_mlr = 0.9064 top_Nc_mlr = 0.6490 (total_true_lr = 456 total_true_mlr = 527) Precision for 120 - 1rybA top_L5_lr = 1.0000 top_L_lr = 0.8817 top_Nc_lr = 0.7348 top_L5_mlr = 1.0000 top_L_mlr = 0.9247 top_Nc_mlr = 0.7080 (total_true_lr = 313 total_true_mlr = 387) Precision for 121 - 1smxA top_L5_lr = 1.0000 top_L_lr = 0.6552 top_Nc_lr = 0.6706 top_L5_mlr = 1.0000 top_L_mlr = 0.8161 top_Nc_mlr = 0.6544 (total_true_lr = 85 total_true_mlr = 136) Precision for 122 - 1svyA top_L5_lr = 1.0000 top_L_lr = 0.7129 top_Nc_lr = 0.6541 top_L5_mlr = 1.0000 top_L_mlr = 0.8416 top_Nc_mlr = 0.6684 (total_true_lr = 133 total_true_mlr = 187) Precision for 123 - 1t8kA top_L5_lr = 1.0000 top_L_lr = 0.6234 top_Nc_lr = 0.7857 top_L5_mlr = 1.0000 top_L_mlr = 0.7143 top_Nc_mlr = 0.7179 (total_true_lr = 56 total_true_mlr = 78) Precision for 124 - 1tifA top_L5_lr = 0.8667 top_L_lr = 0.4474 top_Nc_lr = 0.5577 top_L5_mlr = 0.9333 top_L_mlr = 0.6842 top_Nc_mlr = 0.6556 (total_true_lr = 52 total_true_mlr = 90) Precision for 125 - 1tqgA top_L5_lr = 1.0000 top_L_lr = 0.5905 top_Nc_lr = 0.7273 top_L5_mlr = 1.0000 top_L_mlr = 0.7714 top_Nc_mlr = 0.7788 (total_true_lr = 77 total_true_mlr = 104) Precision for 126 - 1tqhA top_L5_lr = 0.9792 top_L_lr = 0.8471 top_Nc_lr = 0.6598 top_L5_mlr = 0.9792 top_L_mlr = 0.9008 top_Nc_mlr = 0.6626 (total_true_lr = 388 total_true_mlr = 489) Precision for 127 - 1tzvA top_L5_lr = 1.0000 top_L_lr = 0.6383 top_Nc_lr = 0.6960 top_L5_mlr = 1.0000 top_L_mlr = 0.7801 top_Nc_mlr = 0.7195 (total_true_lr = 125 total_true_mlr = 164) Precision for 128 - 1vfyA top_L5_lr = 1.0000 top_L_lr = 0.4627 top_Nc_lr = 0.6757 top_L5_mlr = 0.9231 top_L_mlr = 0.6418 top_Nc_mlr = 0.5875 (total_true_lr = 37 total_true_mlr = 80) Precision for 129 - 1vhuA top_L5_lr = 1.0000 top_L_lr = 0.8438 top_Nc_lr = 0.6738 top_L5_mlr = 1.0000 top_L_mlr = 0.8958 top_Nc_mlr = 0.6650 (total_true_lr = 325 total_true_mlr = 412) Precision for 130 - 1vjkA top_L5_lr = 1.0000 top_L_lr = 0.7586 top_Nc_lr = 0.7228 top_L5_mlr = 1.0000 top_L_mlr = 0.9080 top_Nc_mlr = 0.7419 (total_true_lr = 101 total_true_mlr = 155) Precision for 131 - 1vmbA top_L5_lr = 1.0000 top_L_lr = 0.8879 top_Nc_lr = 0.7551 top_L5_mlr = 1.0000 top_L_mlr = 0.9252 top_Nc_mlr = 0.7582 (total_true_lr = 147 total_true_mlr = 182) Precision for 132 - 1vp6A top_L5_lr = 1.0000 top_L_lr = 0.9023 top_Nc_lr = 0.7376 top_L5_mlr = 1.0000 top_L_mlr = 0.9173 top_Nc_mlr = 0.7510 (total_true_lr = 202 total_true_mlr = 241) Precision for 133 - 1w0hA top_L5_lr = 0.9500 top_L_lr = 0.7300 top_Nc_lr = 0.6225 top_L5_mlr = 0.9750 top_L_mlr = 0.8150 top_Nc_mlr = 0.6587 (total_true_lr = 302 total_true_mlr = 375) Precision for 134 - 1whiA top_L5_lr = 0.8750 top_L_lr = 0.5164 top_Nc_lr = 0.4383 top_L5_mlr = 1.0000 top_L_mlr = 0.7869 top_Nc_mlr = 0.5612 (total_true_lr = 162 total_true_mlr = 278) Precision for 135 - 1wjxA top_L5_lr = 0.9545 top_L_lr = 0.7232 top_Nc_lr = 0.6233 top_L5_mlr = 0.9545 top_L_mlr = 0.8929 top_Nc_mlr = 0.6884 (total_true_lr = 146 total_true_mlr = 199) Precision for 136 - 1wkcA top_L5_lr = 0.9706 top_L_lr = 0.7679 top_Nc_lr = 0.6667 top_L5_mlr = 1.0000 top_L_mlr = 0.8274 top_Nc_mlr = 0.6646 (total_true_lr = 249 total_true_mlr = 319) Precision for 137 - 1xdzA top_L5_lr = 0.9792 top_L_lr = 0.8529 top_Nc_lr = 0.6727 top_L5_mlr = 1.0000 top_L_mlr = 0.9034 top_Nc_mlr = 0.6839 (total_true_lr = 385 total_true_mlr = 484) Precision for 138 - 1xffA top_L5_lr = 1.0000 top_L_lr = 0.8067 top_Nc_lr = 0.6697 top_L5_mlr = 1.0000 top_L_mlr = 0.8866 top_Nc_mlr = 0.6987 (total_true_lr = 445 total_true_mlr = 594) Precision for 139 - 1xkrA top_L5_lr = 0.9024 top_L_lr = 0.6341 top_Nc_lr = 0.5405 top_L5_mlr = 0.9756 top_L_mlr = 0.7463 top_Nc_mlr = 0.5927 (total_true_lr = 309 total_true_mlr = 383) Precision for 140 - 2arcA top_L5_lr = 1.0000 top_L_lr = 0.6894 top_Nc_lr = 0.5115 top_L5_mlr = 1.0000 top_L_mlr = 0.7640 top_Nc_mlr = 0.5380 (total_true_lr = 262 total_true_mlr = 303) Precision for 141 - 2cuaA top_L5_lr = 1.0000 top_L_lr = 0.8115 top_Nc_lr = 0.6270 top_L5_mlr = 1.0000 top_L_mlr = 0.9180 top_Nc_mlr = 0.6705 (total_true_lr = 185 total_true_mlr = 264) Precision for 142 - 2hs1A top_L5_lr = 0.8500 top_L_lr = 0.4848 top_Nc_lr = 0.4587 top_L5_mlr = 0.8500 top_L_mlr = 0.6263 top_Nc_mlr = 0.4826 (total_true_lr = 109 total_true_mlr = 172) Precision for 143 - 2mhrA top_L5_lr = 0.9167 top_L_lr = 0.5678 top_Nc_lr = 0.5882 top_L5_mlr = 0.9583 top_L_mlr = 0.6271 top_Nc_mlr = 0.6077 (total_true_lr = 102 total_true_mlr = 130) Precision for 144 - 2phyA top_L5_lr = 0.5200 top_L_lr = 0.1920 top_Nc_lr = 0.1961 top_L5_mlr = 1.0000 top_L_mlr = 0.6400 top_Nc_mlr = 0.4724 (total_true_lr = 102 total_true_mlr = 199) Precision for 145 - 2tpsA top_L5_lr = 0.9778 top_L_lr = 0.8142 top_Nc_lr = 0.6709 top_L5_mlr = 1.0000 top_L_mlr = 0.9292 top_Nc_mlr = 0.7346 (total_true_lr = 316 total_true_mlr = 471) Precision for 146 - 2vxnA top_L5_lr = 0.9600 top_L_lr = 0.7671 top_Nc_lr = 0.6177 top_L5_mlr = 0.9600 top_L_mlr = 0.8233 top_Nc_mlr = 0.6175 (total_true_lr = 395 total_true_mlr = 502) Precision for 147 - 3borA top_L5_lr = 0.9744 top_L_lr = 0.8814 top_Nc_lr = 0.7296 top_L5_mlr = 1.0000 top_L_mlr = 0.8866 top_Nc_mlr = 0.7056 (total_true_lr = 318 total_true_mlr = 377) Precision for 148 - 3dqgA top_L5_lr = 0.9667 top_L_lr = 0.6622 top_Nc_lr = 0.5751 top_L5_mlr = 1.0000 top_L_mlr = 0.8446 top_Nc_mlr = 0.6354 (total_true_lr = 193 total_true_mlr = 277) Precision for 149 - 5ptpA top_L5_lr = 1.0000 top_L_lr = 0.8694 top_Nc_lr = 0.6899 top_L5_mlr = 1.0000 top_L_mlr = 0.9369 top_Nc_mlr = 0.7096 (total_true_lr = 445 total_true_mlr = 575) Average Precision: top_L5_lr = 93.82 top_L_lr = 69.49 top_Nc_lr = 62.13 top_L5_mlr = 97.07 top_L_mlr = 79.83 top_Nc_mlr = 64.17 Save predictions.. Written RR ./predictions/1a3aA.contacts.rr ! Written RR ./predictions/1a6mA.contacts.rr ! Written RR ./predictions/1a70A.contacts.rr ! Written RR ./predictions/1aapA.contacts.rr ! Written RR ./predictions/1abaA.contacts.rr ! Written RR ./predictions/1ag6A.contacts.rr ! Written RR ./predictions/1aoeA.contacts.rr ! Written RR ./predictions/1atlA.contacts.rr ! Written RR ./predictions/1atzA.contacts.rr ! Written RR ./predictions/1avsA.contacts.rr ! Written RR ./predictions/1bdoA.contacts.rr ! Written RR ./predictions/1bebA.contacts.rr ! Written RR ./predictions/1behA.contacts.rr ! Written RR ./predictions/1bkrA.contacts.rr ! Written RR ./predictions/1brfA.contacts.rr ! Written RR ./predictions/1bsgA.contacts.rr ! Written RR ./predictions/1c44A.contacts.rr ! Written RR ./predictions/1c52A.contacts.rr ! Written RR ./predictions/1c9oA.contacts.rr ! Written RR ./predictions/1cc8A.contacts.rr ! Written RR ./predictions/1chdA.contacts.rr ! Written RR ./predictions/1cjwA.contacts.rr ! Written RR ./predictions/1ckeA.contacts.rr ! Written RR ./predictions/1ctfA.contacts.rr ! Written RR ./predictions/1cxyA.contacts.rr ! Written RR ./predictions/1cznA.contacts.rr ! Written RR ./predictions/1d0qA.contacts.rr ! Written RR ./predictions/1d1qA.contacts.rr ! Written RR ./predictions/1d4oA.contacts.rr ! Written RR ./predictions/1dbxA.contacts.rr ! Written RR ./predictions/1dixA.contacts.rr ! Written RR ./predictions/1dlwA.contacts.rr ! Written RR ./predictions/1dmgA.contacts.rr ! Written RR ./predictions/1dqgA.contacts.rr ! Written RR ./predictions/1dsxA.contacts.rr ! Written RR ./predictions/1eazA.contacts.rr ! Written RR ./predictions/1ej0A.contacts.rr ! Written RR ./predictions/1ej8A.contacts.rr ! Written RR ./predictions/1ek0A.contacts.rr ! Written RR ./predictions/1f6bA.contacts.rr ! Written RR ./predictions/1fcyA.contacts.rr ! Written RR ./predictions/1fk5A.contacts.rr ! Written RR ./predictions/1fl0A.contacts.rr ! Written RR ./predictions/1fnaA.contacts.rr ! Written RR ./predictions/1fqtA.contacts.rr ! Written RR ./predictions/1fvgA.contacts.rr ! Written RR ./predictions/1fvkA.contacts.rr ! Written RR ./predictions/1fx2A.contacts.rr ! Written RR ./predictions/1g2rA.contacts.rr ! Written RR ./predictions/1g9oA.contacts.rr ! Written RR ./predictions/1gbsA.contacts.rr ! Written RR ./predictions/1gmiA.contacts.rr ! Written RR ./predictions/1gmxA.contacts.rr ! Written RR ./predictions/1guuA.contacts.rr ! Written RR ./predictions/1gz2A.contacts.rr ! Written RR ./predictions/1gzcA.contacts.rr ! Written RR ./predictions/1h0pA.contacts.rr ! Written RR ./predictions/1h2eA.contacts.rr ! Written RR ./predictions/1h4xA.contacts.rr ! Written RR ./predictions/1h98A.contacts.rr ! Written RR ./predictions/1hdoA.contacts.rr ! Written RR ./predictions/1hfcA.contacts.rr ! Written RR ./predictions/1hh8A.contacts.rr ! Written RR ./predictions/1htwA.contacts.rr ! Written RR ./predictions/1hxnA.contacts.rr ! Written RR ./predictions/1i1jA.contacts.rr ! Written RR ./predictions/1i1nA.contacts.rr ! Written RR ./predictions/1i4jA.contacts.rr ! Written RR ./predictions/1i58A.contacts.rr ! Written RR ./predictions/1i5gA.contacts.rr ! Written RR ./predictions/1i71A.contacts.rr ! Written RR ./predictions/1ihzA.contacts.rr ! Written RR ./predictions/1iibA.contacts.rr ! Written RR ./predictions/1im5A.contacts.rr ! Written RR ./predictions/1iwdA.contacts.rr ! Written RR ./predictions/1j3aA.contacts.rr ! Written RR ./predictions/1jbeA.contacts.rr ! Written RR ./predictions/1jbkA.contacts.rr ! Written RR ./predictions/1jfuA.contacts.rr ! Written RR ./predictions/1jfxA.contacts.rr ! Written RR ./predictions/1jkxA.contacts.rr ! Written RR ./predictions/1jl1A.contacts.rr ! Written RR ./predictions/1jo0A.contacts.rr ! Written RR ./predictions/1jo8A.contacts.rr ! Written RR ./predictions/1josA.contacts.rr ! Written RR ./predictions/1jvwA.contacts.rr ! Written RR ./predictions/1jwqA.contacts.rr ! Written RR ./predictions/1jyhA.contacts.rr ! Written RR ./predictions/1k6kA.contacts.rr ! Written RR ./predictions/1k7cA.contacts.rr ! Written RR ./predictions/1k7jA.contacts.rr ! Written RR ./predictions/1kidA.contacts.rr ! Written RR ./predictions/1kq6A.contacts.rr ! Written RR ./predictions/1kqrA.contacts.rr ! Written RR ./predictions/1ktgA.contacts.rr ! Written RR ./predictions/1ku3A.contacts.rr ! Written RR ./predictions/1kw4A.contacts.rr ! Written RR ./predictions/1lm4A.contacts.rr ! Written RR ./predictions/1lo7A.contacts.rr ! Written RR ./predictions/1lpyA.contacts.rr ! Written RR ./predictions/1m4jA.contacts.rr ! Written RR ./predictions/1m8aA.contacts.rr ! Written RR ./predictions/1mk0A.contacts.rr ! Written RR ./predictions/1mugA.contacts.rr ! Written RR ./predictions/1nb9A.contacts.rr ! Written RR ./predictions/1ne2A.contacts.rr ! Written RR ./predictions/1npsA.contacts.rr ! Written RR ./predictions/1nrvA.contacts.rr ! Written RR ./predictions/1ny1A.contacts.rr ! Written RR ./predictions/1o1zA.contacts.rr ! Written RR ./predictions/1p90A.contacts.rr ! Written RR ./predictions/1pchA.contacts.rr ! Written RR ./predictions/1pkoA.contacts.rr ! Written RR ./predictions/1qf9A.contacts.rr ! Written RR ./predictions/1qjpA.contacts.rr ! Written RR ./predictions/1ql0A.contacts.rr ! Written RR ./predictions/1r26A.contacts.rr ! Written RR ./predictions/1roaA.contacts.rr ! Written RR ./predictions/1rw1A.contacts.rr ! Written RR ./predictions/1rw7A.contacts.rr ! Written RR ./predictions/1rybA.contacts.rr ! Written RR ./predictions/1smxA.contacts.rr ! Written RR ./predictions/1svyA.contacts.rr ! Written RR ./predictions/1t8kA.contacts.rr ! Written RR ./predictions/1tifA.contacts.rr ! Written RR ./predictions/1tqgA.contacts.rr ! Written RR ./predictions/1tqhA.contacts.rr ! Written RR ./predictions/1tzvA.contacts.rr ! Written RR ./predictions/1vfyA.contacts.rr ! Written RR ./predictions/1vhuA.contacts.rr ! Written RR ./predictions/1vjkA.contacts.rr ! Written RR ./predictions/1vmbA.contacts.rr ! Written RR ./predictions/1vp6A.contacts.rr ! Written RR ./predictions/1w0hA.contacts.rr ! Written RR ./predictions/1whiA.contacts.rr ! Written RR ./predictions/1wjxA.contacts.rr ! Written RR ./predictions/1wkcA.contacts.rr ! Written RR ./predictions/1xdzA.contacts.rr ! Written RR ./predictions/1xffA.contacts.rr ! Written RR ./predictions/1xkrA.contacts.rr ! Written RR ./predictions/2arcA.contacts.rr ! Written RR ./predictions/2cuaA.contacts.rr ! Written RR ./predictions/2hs1A.contacts.rr ! Written RR ./predictions/2mhrA.contacts.rr ! Written RR ./predictions/2phyA.contacts.rr ! Written RR ./predictions/2tpsA.contacts.rr ! Written RR ./predictions/2vxnA.contacts.rr ! Written RR ./predictions/3borA.contacts.rr ! Written RR ./predictions/3dqgA.contacts.rr ! Written RR ./predictions/5ptpA.contacts.rr ! Evaluate on CAMEO-HARD set.. Model params: L 1300 num_blocks 128 width 64 expected_n_channels 57 WARNING!! Some values in the pdb structure of 5OD1_A l = 96 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Different len(X) and len(Y) for 5OD1_A 97 96 WARNING!! Some values in the pdb structure of 5OD9_B l = 95 are missing or nan! Indices are: (array([ 0, 1, 2, 48, 49, 50, 51]),) WARNING!! Different len(X) and len(Y) for 5OD9_B 97 95 WARNING!! Some values in the pdb structure of 5OVM_A l = 89 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6]),) WARNING!! Some values in the pdb structure of 5W5P_A l = 623 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]),) WARNING!! Some values in the pdb structure of 5WB4_H l = 194 are missing or nan! Indices are: (array([0]),) WARNING!! Different len(X) and len(Y) for 5WB4_H 195 194 WARNING!! Some values in the pdb structure of 5XJO_E l = 52 are missing or nan! Indices are: (array([25, 26, 27, 28, 29, 30, 31, 32, 33, 34]),) WARNING!! Some values in the pdb structure of 5XKJ_F l = 52 are missing or nan! Indices are: (array([25, 26, 27, 28, 29, 30, 31]),) WARNING!! Some values in the pdb structure of 5XKN_F l = 50 are missing or nan! Indices are: (array([ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 27, 28, 29, 30, 31, 32]),) WARNING!! Different len(X) and len(Y) for 5XKN_F 51 50 WARNING!! Some values in the pdb structure of 5YA6_B l = 211 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45]),) WARNING!! Some values in the pdb structure of 5YRQ_E l = 148 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]),) 1/131 [..............................] - ETA: 50:20 WARNING!! Some values in the pdb structure of 5YVQ_A l = 504 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 472, 473, 474, 475, 476, 477, 478, 479, 480]),)  2/131 [..............................] - ETA: 33:05 WARNING!! Different len(X) and len(Y) for 5YVQ_B 175 103  3/131 [..............................] - ETA: 27:15 WARNING!! Some values in the pdb structure of 5Z2H_B l = 99 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6, 7]),) WARNING!! Different len(X) and len(Y) for 5Z2H_B 105 99  4/131 [..............................] - ETA: 24:16 WARNING!! Some values in the pdb structure of 5Z2I_D l = 99 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6]),) WARNING!! Different len(X) and len(Y) for 5Z2I_D 105 99  5/131 [>.............................] - ETA: 22:26 WARNING!! Some values in the pdb structure of 5Z34_A l = 365 are missing or nan! Indices are: (array([0, 1, 2, 3]),) WARNING!! Different len(X) and len(Y) for 5Z34_A 369 365  6/131 [>.............................] - ETA: 21:11 7/131 [>.............................] - ETA: 20:15 WARNING!! Some values in the pdb structure of 5Z3F_A l = 399 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]),) WARNING!! Different len(X) and len(Y) for 5Z3F_A 405 399  8/131 [>.............................] - ETA: 19:31 WARNING!! Some values in the pdb structure of 5Z3K_B l = 484 are missing or nan! Indices are: (array([0]),) WARNING!! Different len(X) and len(Y) for 5Z3K_B 485 484  9/131 [=>............................] - ETA: 18:56 WARNING!! Some values in the pdb structure of 5Z6D_B l = 206 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Different len(X) and len(Y) for 5Z6D_B 215 206  10/131 [=>............................] - ETA: 18:27 WARNING!! Some values in the pdb structure of 5Z7C_A l = 463 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394]),)  11/131 [=>............................] - ETA: 18:01 WARNING!! Some values in the pdb structure of 5Z8B_B l = 206 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Different len(X) and len(Y) for 5Z8B_B 242 206  12/131 [=>............................] - ETA: 17:38 WARNING!! Some values in the pdb structure of 5Z9T_B l = 536 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36]),)  13/131 [=>............................] - ETA: 17:18 WARNING!! Some values in the pdb structure of 5ZB2_A l = 405 are missing or nan! Indices are: (array([0, 1, 2]),)  14/131 [==>...........................] - ETA: 16:59 WARNING!! Some values in the pdb structure of 5ZER_B l = 354 are missing or nan! Indices are: (array([230, 231, 232, 233, 234, 265, 266, 267]),)  15/131 [==>...........................] - ETA: 16:42 WARNING!! Some values in the pdb structure of 5ZKE_A l = 178 are missing or nan! Indices are: (array([0, 1, 2, 3]),) WARNING!! Different len(X) and len(Y) for 5ZKE_A 184 178  16/131 [==>...........................] - ETA: 16:26 WARNING!! Some values in the pdb structure of 5ZKH_B l = 171 are missing or nan! Indices are: (array([ 0, 27, 28]),) WARNING!! Different len(X) and len(Y) for 5ZKH_B 180 171  17/131 [==>...........................] - ETA: 16:10 18/131 [===>..........................] - ETA: 15:56 WARNING!! Some values in the pdb structure of 5ZME_A l = 686 are missing or nan! Indices are: (array([ 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 175, 176, 177, 178, 179, 180, 444, 445, 446, 447, 448, 449, 450, 451, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560]),) WARNING!! Different len(X) and len(Y) for 5ZME_A 687 686  19/131 [===>..........................] - ETA: 15:43 WARNING!! Some values in the pdb structure of 5ZNS_A l = 382 are missing or nan! Indices are: (array([0]),) WARNING!! Different len(X) and len(Y) for 5ZNS_A 385 382  20/131 [===>..........................] - ETA: 15:30 21/131 [===>..........................] - ETA: 15:17 WARNING!! Some values in the pdb structure of 5ZT0_J l = 47 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]),) WARNING!! Different len(X) and len(Y) for 5ZT0_J 75 47  22/131 [====>.........................] - ETA: 15:05 WARNING!! Some values in the pdb structure of 5ZT7_B l = 263 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]),) WARNING!! Different len(X) and len(Y) for 5ZT7_B 273 263  23/131 [====>.........................] - ETA: 14:54 WARNING!! Some values in the pdb structure of 5ZX9_A l = 287 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 175, 176, 177, 178, 246, 247, 248, 249, 250, 251, 252, 253, 254]),) WARNING!! Different len(X) and len(Y) for 5ZX9_A 325 287  24/131 [====>.........................] - ETA: 14:43 WARNING!! Some values in the pdb structure of 5ZYO_D l = 158 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5]),)  25/131 [====>.........................] - ETA: 14:32 WARNING!! Different len(X) and len(Y) for 6A2W_A 167 166  26/131 [====>.........................] - ETA: 14:21 WARNING!! Some values in the pdb structure of 6A5F_B l = 152 are missing or nan! Indices are: (array([0]),) WARNING!! Different len(X) and len(Y) for 6A5F_B 165 152  27/131 [=====>........................] - ETA: 14:10 WARNING!! Some values in the pdb structure of 6A5G_B l = 159 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Different len(X) and len(Y) for 6A5G_B 165 159  28/131 [=====>........................] - ETA: 14:00 WARNING!! Some values in the pdb structure of 6A68_A l = 173 are missing or nan! Indices are: (array([136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146]),) WARNING!! Different len(X) and len(Y) for 6A68_A 184 173  29/131 [=====>........................] - ETA: 13:50 WARNING!! Some values in the pdb structure of 6A83_A l = 394 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36]),)  30/131 [=====>........................] - ETA: 13:40 WARNING!! Some values in the pdb structure of 6A9J_B l = 379 are missing or nan! Indices are: (array([219, 220, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 307, 308, 309, 310, 311, 312, 313, 314, 341, 342, 343, 344, 345, 360, 361, 362, 363, 364]),) WARNING!! Different len(X) and len(Y) for 6A9J_B 389 379  31/131 [======>.......................] - ETA: 13:30 WARNING!! Some values in the pdb structure of 6A9W_A l = 314 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209]),) WARNING!! Different len(X) and len(Y) for 6A9W_A 320 314  32/131 [======>.......................] - ETA: 13:21 WARNING!! Some values in the pdb structure of 6AAY_A l = 1225 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 335, 336, 337, 338, 339, 340, 341, 342, 343, 395, 396, 397, 398, 1065, 1066, 1067, 1068]),) WARNING!! Different len(X) and len(Y) for 6AAY_A 1232 1225  33/131 [======>.......................] - ETA: 13:11 WARNING!! Some values in the pdb structure of 6AE1_B l = 145 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43]),) WARNING!! Different len(X) and len(Y) for 6AE1_B 148 145  34/131 [======>.......................] - ETA: 13:02 WARNING!! Some values in the pdb structure of 6AE8_D l = 119 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106]),) WARNING!! Different len(X) and len(Y) for 6AE8_D 120 119  35/131 [=======>......................] - ETA: 12:52 WARNING!! Different len(X) and len(Y) for 6AE9_B 260 253  36/131 [=======>......................] - ETA: 12:43 WARNING!! Some values in the pdb structure of 6AEF_A l = 459 are missing or nan! Indices are: (array([0]),) WARNING!! Different len(X) and len(Y) for 6AEF_A 468 459  37/131 [=======>......................] - ETA: 12:34 WARNING!! Some values in the pdb structure of 6AGH_B l = 335 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 127, 128, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 232, 233, 234, 280, 281, 282, 283, 284, 317, 318, 319, 320, 321, 322]),) WARNING!! Different len(X) and len(Y) for 6AGH_B 339 335  38/131 [=======>......................] - ETA: 12:25 WARNING!! Some values in the pdb structure of 6AGJ_B l = 374 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 317, 318, 319]),) WARNING!! Different len(X) and len(Y) for 6AGJ_B 382 374  39/131 [=======>......................] - ETA: 12:16 WARNING!! Some values in the pdb structure of 6AHQ_T l = 129 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]),)  40/131 [========>.....................] - ETA: 12:08 WARNING!! Some values in the pdb structure of 6AIT_F l = 438 are missing or nan! Indices are: (array([ 0, 110, 111, 112, 113, 114, 115, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 190, 191, 192, 193, 194, 195, 196, 203, 204, 205]),) WARNING!! Different len(X) and len(Y) for 6AIT_F 439 438  41/131 [========>.....................] - ETA: 11:59 WARNING!! Some values in the pdb structure of 6AJJ_A l = 941 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399]),) WARNING!! Different len(X) and len(Y) for 6AJJ_A 943 941  42/131 [========>.....................] - ETA: 11:50 WARNING!! Some values in the pdb structure of 6AKJ_B l = 152 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 53, 54, 55, 56, 57, 58, 59, 60, 61, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]),) WARNING!! Different len(X) and len(Y) for 6AKJ_B 155 152  43/131 [========>.....................] - ETA: 11:41 WARNING!! Some values in the pdb structure of 6BEA_A l = 438 are missing or nan! Indices are: (array([0, 1, 2, 3, 4]),) WARNING!! Different len(X) and len(Y) for 6BEA_A 466 438  44/131 [=========>....................] - ETA: 11:33 WARNING!! Some values in the pdb structure of 6BS5_A l = 340 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),)  45/131 [=========>....................] - ETA: 11:24 WARNING!! Some values in the pdb structure of 6BS5_B l = 375 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 185, 186, 187, 188, 189, 190, 191, 192, 226, 227, 307, 308, 309, 310, 311, 312]),) WARNING!! Different len(X) and len(Y) for 6BS5_B 394 375  46/131 [=========>....................] - ETA: 11:16 WARNING!! Some values in the pdb structure of 6BWH_C l = 227 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 99, 100, 101, 156, 157, 186]),) WARNING!! Different len(X) and len(Y) for 6BWH_C 228 227  47/131 [=========>....................] - ETA: 11:07 WARNING!! Some values in the pdb structure of 6BXS_C l = 277 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6]),) WARNING!! Different len(X) and len(Y) for 6BXS_C 281 277  48/131 [=========>....................] - ETA: 10:59 WARNING!! Some values in the pdb structure of 6BXW_A l = 277 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 107, 108, 109, 110, 111, 112]),) WARNING!! Different len(X) and len(Y) for 6BXW_A 278 277  49/131 [==========>...................] - ETA: 10:50 50/131 [==========>...................] - ETA: 10:42 51/131 [==========>...................] - ETA: 10:33 WARNING!! Some values in the pdb structure of 6BZT_D l = 522 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]),)  52/131 [==========>...................] - ETA: 10:25 WARNING!! Some values in the pdb structure of 6CB6_A l = 121 are missing or nan! Indices are: (array([0, 1, 2]),) WARNING!! Different len(X) and len(Y) for 6CB6_A 122 121  53/131 [===========>..................] - ETA: 10:17 WARNING!! Some values in the pdb structure of 6CCI_A l = 486 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131]),) WARNING!! Different len(X) and len(Y) for 6CCI_A 487 486  54/131 [===========>..................] - ETA: 10:08 WARNING!! Some values in the pdb structure of 6CGO_B l = 545 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 455, 456, 457, 458, 459, 460, 533, 534, 535, 536, 537]),)  55/131 [===========>..................] - ETA: 10:00 WARNING!! Some values in the pdb structure of 6CK1_D l = 408 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 186, 187, 188, 189, 190, 191]),)  56/131 [===========>..................] - ETA: 9:52 WARNING!! Some values in the pdb structure of 6CMK_A l = 405 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]),) WARNING!! Different len(X) and len(Y) for 6CMK_A 421 405  57/131 [============>.................] - ETA: 9:44 WARNING!! Some values in the pdb structure of 6CP8_B l = 163 are missing or nan! Indices are: (array([0]),)  58/131 [============>.................] - ETA: 9:35 WARNING!! Some values in the pdb structure of 6CP8_D l = 164 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6]),)  59/131 [============>.................] - ETA: 9:27 WARNING!! Some values in the pdb structure of 6CP9_G l = 121 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]),) WARNING!! Different len(X) and len(Y) for 6CP9_G 126 121  60/131 [============>.................] - ETA: 9:19 WARNING!! Different len(X) and len(Y) for 6CP9_H 116 114  61/131 [============>.................] - ETA: 9:11 WARNING!! Some values in the pdb structure of 6CPU_A l = 570 are missing or nan! Indices are: (array([ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 104, 105, 106, 107, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 324, 325, 326, 327, 328]),) WARNING!! Different len(X) and len(Y) for 6CPU_A 571 570  62/131 [=============>................] - ETA: 9:03 WARNING!! Some values in the pdb structure of 6CSV_D l = 93 are missing or nan! Indices are: (array([ 0, 40, 41, 42, 43, 44, 45]),) WARNING!! Different len(X) and len(Y) for 6CSV_D 94 93  63/131 [=============>................] - ETA: 8:54 WARNING!! Some values in the pdb structure of 6CUL_H l = 275 are missing or nan! Indices are: (array([ 0, 27, 28, 29, 30, 225, 226, 227]),)  64/131 [=============>................] - ETA: 8:46 WARNING!! Some values in the pdb structure of 6CZ6_D l = 423 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 408, 409]),) WARNING!! Different len(X) and len(Y) for 6CZ6_D 429 423  65/131 [=============>................] - ETA: 8:38 WARNING!! Some values in the pdb structure of 6CZT_A l = 90 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6, 7]),) WARNING!! Different len(X) and len(Y) for 6CZT_A 196 90  66/131 [==============>...............] - ETA: 8:30 WARNING!! Different len(X) and len(Y) for 6D0I_C 160 159  67/131 [==============>...............] - ETA: 8:22 WARNING!! Some values in the pdb structure of 6D0I_D l = 72 are missing or nan! Indices are: (array([0]),)  68/131 [==============>...............] - ETA: 8:14 WARNING!! Some values in the pdb structure of 6D2S_A l = 284 are missing or nan! Indices are: (array([ 0, 203, 204, 205, 206, 207, 208, 209, 210]),) WARNING!! Different len(X) and len(Y) for 6D2S_A 289 284  69/131 [==============>...............] - ETA: 8:06 WARNING!! Some values in the pdb structure of 6D7Y_A l = 96 are missing or nan! Indices are: (array([0, 1, 2, 3]),)  70/131 [===============>..............] - ETA: 7:58 71/131 [===============>..............] - ETA: 7:50 WARNING!! Some values in the pdb structure of 6D97_D l = 547 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]),)  72/131 [===============>..............] - ETA: 7:42 WARNING!! Some values in the pdb structure of 6D9F_B l = 325 are missing or nan! Indices are: (array([0, 1, 2]),) WARNING!! Different len(X) and len(Y) for 6D9F_B 332 325  73/131 [===============>..............] - ETA: 7:34 WARNING!! Different len(X) and len(Y) for 6D9M_A 337 326  74/131 [===============>..............] - ETA: 7:26 WARNING!! Some values in the pdb structure of 6DAN_D l = 329 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5]),) WARNING!! Different len(X) and len(Y) for 6DAN_D 334 329  75/131 [================>.............] - ETA: 7:18 WARNING!! Some values in the pdb structure of 6DFL_A l = 259 are missing or nan! Indices are: (array([54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71]),)  76/131 [================>.............] - ETA: 7:10 WARNING!! Some values in the pdb structure of 6DGN_B l = 95 are missing or nan! Indices are: (array([0, 1, 2, 3]),)  77/131 [================>.............] - ETA: 7:02 WARNING!! Different len(X) and len(Y) for 6DII_L 636 616  78/131 [================>.............] - ETA: 6:54 WARNING!! Some values in the pdb structure of 6DKA_I l = 233 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6]),) WARNING!! Different len(X) and len(Y) for 6DKA_I 234 233  79/131 [=================>............] - ETA: 6:46 WARNING!! Some values in the pdb structure of 6DKM_G l = 78 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Different len(X) and len(Y) for 6DKM_G 79 78  80/131 [=================>............] - ETA: 6:38 WARNING!! Some values in the pdb structure of 6DLC_A l = 115 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 76, 77, 78, 79]),)  81/131 [=================>............] - ETA: 6:30 WARNING!! Some values in the pdb structure of 6DLO_A l = 358 are missing or nan! Indices are: (array([ 0, 1, 20, 21, 22, 23, 24, 115, 116, 117, 118, 119, 167, 168, 169, 170, 171, 172, 173, 174, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 324, 325, 326, 327, 328, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348]),) WARNING!! Different len(X) and len(Y) for 6DLO_A 389 358  82/131 [=================>............] - ETA: 6:22 83/131 [==================>...........] - ETA: 6:14 WARNING!! Some values in the pdb structure of 6DTD_A l = 1125 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 118, 119, 120, 121, 215, 216, 217, 218, 219, 220, 221, 222, 338, 339, 340, 341, 342, 343, 344, 345, 431, 432, 433, 434, 435, 436, 897, 898, 899, 900, 901, 902, 903, 1094, 1095, 1096, 1097]),) WARNING!! Different len(X) and len(Y) for 6DTD_A 1127 1125  84/131 [==================>...........] - ETA: 6:06 WARNING!! Some values in the pdb structure of 6E0K_A l = 296 are missing or nan! Indices are: (array([0]),)  85/131 [==================>...........] - ETA: 5:58 WARNING!! Some values in the pdb structure of 6E0M_A l = 291 are missing or nan! Indices are: (array([76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94]),) WARNING!! Different len(X) and len(Y) for 6E0M_A 292 291  86/131 [==================>...........] - ETA: 5:51 WARNING!! Some values in the pdb structure of 6E3C_C l = 137 are missing or nan! Indices are: (array([0, 1, 2]),)  87/131 [==================>...........] - ETA: 5:43 WARNING!! Some values in the pdb structure of 6E9B_D l = 420 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 77, 78, 79, 108, 109, 110, 123, 124]),)  88/131 [===================>..........] - ETA: 5:35 WARNING!! Some values in the pdb structure of 6E9O_A l = 443 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289]),) WARNING!! Different len(X) and len(Y) for 6E9O_A 460 443  89/131 [===================>..........] - ETA: 5:27 WARNING!! Some values in the pdb structure of 6EAZ_B l = 374 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171]),) WARNING!! Different len(X) and len(Y) for 6EAZ_B 379 374  90/131 [===================>..........] - ETA: 5:19 WARNING!! Some values in the pdb structure of 6EDB_B l = 73 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5]),) WARNING!! Different len(X) and len(Y) for 6EDB_B 455 73  91/131 [===================>..........] - ETA: 5:11 WARNING!! Some values in the pdb structure of 6EGC_A l = 155 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 78, 79, 80, 81]),) WARNING!! Different len(X) and len(Y) for 6EGC_A 156 155  92/131 [====================>.........] - ETA: 5:03 WARNING!! Some values in the pdb structure of 6FCG_F l = 430 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36]),)  93/131 [====================>.........] - ETA: 4:55 WARNING!! Some values in the pdb structure of 6FTO_C l = 81 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5]),)  94/131 [====================>.........] - ETA: 4:48 WARNING!! Some values in the pdb structure of 6FXD_B l = 141 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),)  95/131 [====================>.........] - ETA: 4:40 WARNING!! Some values in the pdb structure of 6G1H_A l = 343 are missing or nan! Indices are: (array([298]),) WARNING!! Different len(X) and len(Y) for 6G1H_A 345 343  96/131 [====================>.........] - ETA: 4:32 WARNING!! Some values in the pdb structure of 6G3B_B l = 231 are missing or nan! Indices are: (array([ 0, 1, 45, 46, 47, 48]),) WARNING!! Different len(X) and len(Y) for 6G3B_B 238 231  97/131 [=====================>........] - ETA: 4:24 WARNING!! Some values in the pdb structure of 6G70_B l = 607 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298]),) WARNING!! Different len(X) and len(Y) for 6G70_B 670 607  98/131 [=====================>........] - ETA: 4:16 99/131 [=====================>........] - ETA: 4:08 100/131 [=====================>........] - ETA: 4:01 101/131 [======================>.......] - ETA: 3:53 102/131 [======================>.......] - ETA: 3:45 WARNING!! Some values in the pdb structure of 6GDJ_B l = 71 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Different len(X) and len(Y) for 6GDJ_B 88 71  103/131 [======================>.......] - ETA: 3:37 WARNING!! Some values in the pdb structure of 6GHO_B l = 295 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]),) WARNING!! Different len(X) and len(Y) for 6GHO_B 298 295  104/131 [======================>.......] - ETA: 3:29 WARNING!! Some values in the pdb structure of 6GMA_F l = 139 are missing or nan! Indices are: (array([ 0, 31, 32, 33, 34, 35, 36, 37, 38, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96]),) WARNING!! Different len(X) and len(Y) for 6GMA_F 140 139  105/131 [=======================>......] - ETA: 3:21 106/131 [=======================>......] - ETA: 3:14 107/131 [=======================>......] - ETA: 3:06 WARNING!! Some values in the pdb structure of 6H2X_A l = 354 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Different len(X) and len(Y) for 6H2X_A 367 354  108/131 [=======================>......] - ETA: 2:58 WARNING!! Some values in the pdb structure of 6H6N_B l = 129 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]),) WARNING!! Different len(X) and len(Y) for 6H6N_B 131 129  109/131 [=======================>......] - ETA: 2:50 WARNING!! Some values in the pdb structure of 6HC2_X l = 68 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43]),) WARNING!! Different len(X) and len(Y) for 6HC2_X 71 68  110/131 [========================>.....] - ETA: 2:42 WARNING!! Some values in the pdb structure of 6HPV_A l = 370 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306]),) WARNING!! Different len(X) and len(Y) for 6HPV_A 378 370  111/131 [========================>.....] - ETA: 2:35 WARNING!! Some values in the pdb structure of 6I1R_B l = 313 are missing or nan! Indices are: (array([27, 28, 29]),) WARNING!! Different len(X) and len(Y) for 6I1R_B 322 313  112/131 [========================>.....] - ETA: 2:27 WARNING!! Some values in the pdb structure of 6I9H_A l = 94 are missing or nan! Indices are: (array([0, 1]),)  113/131 [========================>.....] - ETA: 2:19 WARNING!! Some values in the pdb structure of 6IAI_D l = 114 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 95]),) WARNING!! Different len(X) and len(Y) for 6IAI_D 121 114  114/131 [=========================>....] - ETA: 2:11 WARNING!! Some values in the pdb structure of 6IEH_A l = 97 are missing or nan! Indices are: (array([46, 47, 48, 73, 74, 75, 76, 77, 78, 84, 85, 86]),) WARNING!! Different len(X) and len(Y) for 6IEH_A 105 97  115/131 [=========================>....] - ETA: 2:04 WARNING!! Some values in the pdb structure of 6N0T_A l = 440 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 89, 90, 91, 92, 93, 208, 209, 210, 211, 212]),) WARNING!! Different len(X) and len(Y) for 6N0T_A 441 440  116/131 [=========================>....] - ETA: 1:56 WARNING!! Some values in the pdb structure of 6N8P_A l = 926 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 841, 842, 843, 844, 845, 846]),) WARNING!! Different len(X) and len(Y) for 6N8P_A 979 926  117/131 [=========================>....] - ETA: 1:48 118/131 [==========================>...] - ETA: 1:40 119/131 [==========================>...] - ETA: 1:33 WARNING!! Some values in the pdb structure of 6OHZ_A l = 230 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143]),)  120/131 [==========================>...] - ETA: 1:25 121/131 [==========================>...] - ETA: 1:17 122/131 [==========================>...] - ETA: 1:09 123/131 [===========================>..] - ETA: 1:01 124/131 [===========================>..] - ETA: 54s  125/131 [===========================>..] - ETA: 46s 126/131 [===========================>..] - ETA: 38s 127/131 [============================>.] - ETA: 30s 128/131 [============================>.] - ETA: 23s 129/131 [============================>.] - ETA: 15s 130/131 [============================>.] - ETA: 7s WARNING!! Some values in the pdb structure of 5OD1_A l = 96 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Different len(X) and len(Y) for 5OD1_A 97 96 WARNING!! Some values in the pdb structure of 5OD9_B l = 95 are missing or nan! Indices are: (array([ 0, 1, 2, 48, 49, 50, 51]),) WARNING!! Different len(X) and len(Y) for 5OD9_B 97 95 WARNING!! Some values in the pdb structure of 5OVM_A l = 89 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6]),) WARNING!! Some values in the pdb structure of 5W5P_A l = 623 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]),) WARNING!! Some values in the pdb structure of 5WB4_H l = 194 are missing or nan! Indices are: (array([0]),) WARNING!! Different len(X) and len(Y) for 5WB4_H 195 194 WARNING!! Some values in the pdb structure of 5XJO_E l = 52 are missing or nan! Indices are: (array([25, 26, 27, 28, 29, 30, 31, 32, 33, 34]),) WARNING!! Some values in the pdb structure of 5XKJ_F l = 52 are missing or nan! Indices are: (array([25, 26, 27, 28, 29, 30, 31]),) WARNING!! Some values in the pdb structure of 5XKN_F l = 50 are missing or nan! Indices are: (array([ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 27, 28, 29, 30, 31, 32]),) WARNING!! Different len(X) and len(Y) for 5XKN_F 51 50 WARNING!! Some values in the pdb structure of 5YA6_B l = 211 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45]),)  131/131 [==============================] - 1015s 8s/step WARNING!! Some values in the pdb structure of 5OD1_A l = 96 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Some values in the pdb structure of 5OD9_B l = 95 are missing or nan! Indices are: (array([ 0, 1, 2, 48, 49, 50, 51]),) WARNING!! Some values in the pdb structure of 5OVM_A l = 89 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6]),) WARNING!! Some values in the pdb structure of 5W5P_A l = 623 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]),) WARNING!! Some values in the pdb structure of 5WB4_H l = 194 are missing or nan! Indices are: (array([0]),) WARNING!! Some values in the pdb structure of 5XJO_E l = 52 are missing or nan! Indices are: (array([25, 26, 27, 28, 29, 30, 31, 32, 33, 34]),) WARNING!! Some values in the pdb structure of 5XKJ_F l = 52 are missing or nan! Indices are: (array([25, 26, 27, 28, 29, 30, 31]),) WARNING!! Some values in the pdb structure of 5XKN_F l = 50 are missing or nan! Indices are: (array([ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 27, 28, 29, 30, 31, 32]),) WARNING!! Some values in the pdb structure of 5YA6_B l = 211 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45]),) WARNING!! Some values in the pdb structure of 5YRQ_E l = 148 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]),) WARNING!! Some values in the pdb structure of 5YVQ_A l = 504 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 472, 473, 474, 475, 476, 477, 478, 479, 480]),) WARNING!! Some values in the pdb structure of 5Z2H_B l = 99 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6, 7]),) WARNING!! Some values in the pdb structure of 5Z2I_D l = 99 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6]),) WARNING!! Some values in the pdb structure of 5Z34_A l = 365 are missing or nan! Indices are: (array([0, 1, 2, 3]),) WARNING!! Some values in the pdb structure of 5Z3F_A l = 399 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]),) WARNING!! Some values in the pdb structure of 5Z3K_B l = 484 are missing or nan! Indices are: (array([0]),) WARNING!! Some values in the pdb structure of 5Z6D_B l = 206 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Some values in the pdb structure of 5Z7C_A l = 463 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394]),) WARNING!! Some values in the pdb structure of 5Z8B_B l = 206 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Some values in the pdb structure of 5Z9T_B l = 536 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36]),) WARNING!! Some values in the pdb structure of 5ZB2_A l = 405 are missing or nan! Indices are: (array([0, 1, 2]),) WARNING!! Some values in the pdb structure of 5ZER_B l = 354 are missing or nan! Indices are: (array([230, 231, 232, 233, 234, 265, 266, 267]),) WARNING!! Some values in the pdb structure of 5ZKE_A l = 178 are missing or nan! Indices are: (array([0, 1, 2, 3]),) WARNING!! Some values in the pdb structure of 5ZKH_B l = 171 are missing or nan! Indices are: (array([ 0, 27, 28]),) WARNING!! Some values in the pdb structure of 5ZME_A l = 686 are missing or nan! Indices are: (array([ 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 175, 176, 177, 178, 179, 180, 444, 445, 446, 447, 448, 449, 450, 451, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560]),) WARNING!! Some values in the pdb structure of 5ZNS_A l = 382 are missing or nan! Indices are: (array([0]),) WARNING!! Some values in the pdb structure of 5ZT0_J l = 47 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]),) WARNING!! Some values in the pdb structure of 5ZT7_B l = 263 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]),) WARNING!! Some values in the pdb structure of 5ZX9_A l = 287 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 175, 176, 177, 178, 246, 247, 248, 249, 250, 251, 252, 253, 254]),) WARNING!! Some values in the pdb structure of 5ZYO_D l = 158 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5]),) WARNING!! Some values in the pdb structure of 6A5F_B l = 152 are missing or nan! Indices are: (array([0]),) WARNING!! Some values in the pdb structure of 6A5G_B l = 159 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Some values in the pdb structure of 6A68_A l = 173 are missing or nan! Indices are: (array([136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146]),) WARNING!! Some values in the pdb structure of 6A83_A l = 394 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36]),) WARNING!! Some values in the pdb structure of 6A9J_B l = 379 are missing or nan! Indices are: (array([219, 220, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 307, 308, 309, 310, 311, 312, 313, 314, 341, 342, 343, 344, 345, 360, 361, 362, 363, 364]),) WARNING!! Some values in the pdb structure of 6A9W_A l = 314 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209]),) WARNING!! Some values in the pdb structure of 6AAY_A l = 1225 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 335, 336, 337, 338, 339, 340, 341, 342, 343, 395, 396, 397, 398, 1065, 1066, 1067, 1068]),) WARNING!! Some values in the pdb structure of 6AE1_B l = 145 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43]),) WARNING!! Some values in the pdb structure of 6AE8_D l = 119 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106]),) WARNING!! Some values in the pdb structure of 6AEF_A l = 459 are missing or nan! Indices are: (array([0]),) WARNING!! Some values in the pdb structure of 6AGH_B l = 335 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 127, 128, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 232, 233, 234, 280, 281, 282, 283, 284, 317, 318, 319, 320, 321, 322]),) WARNING!! Some values in the pdb structure of 6AGJ_B l = 374 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 317, 318, 319]),) WARNING!! Some values in the pdb structure of 6AHQ_T l = 129 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]),) WARNING!! Some values in the pdb structure of 6AIT_F l = 438 are missing or nan! Indices are: (array([ 0, 110, 111, 112, 113, 114, 115, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 190, 191, 192, 193, 194, 195, 196, 203, 204, 205]),) WARNING!! Some values in the pdb structure of 6AJJ_A l = 941 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399]),) WARNING!! Some values in the pdb structure of 6AKJ_B l = 152 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 53, 54, 55, 56, 57, 58, 59, 60, 61, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]),) WARNING!! Some values in the pdb structure of 6BEA_A l = 438 are missing or nan! Indices are: (array([0, 1, 2, 3, 4]),) WARNING!! Some values in the pdb structure of 6BS5_A l = 340 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),) WARNING!! Some values in the pdb structure of 6BS5_B l = 375 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 185, 186, 187, 188, 189, 190, 191, 192, 226, 227, 307, 308, 309, 310, 311, 312]),) WARNING!! Some values in the pdb structure of 6BWH_C l = 227 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 99, 100, 101, 156, 157, 186]),) WARNING!! Some values in the pdb structure of 6BXS_C l = 277 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6]),) WARNING!! Some values in the pdb structure of 6BXW_A l = 277 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 107, 108, 109, 110, 111, 112]),) WARNING!! Some values in the pdb structure of 6BZT_D l = 522 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]),) WARNING!! Some values in the pdb structure of 6CB6_A l = 121 are missing or nan! Indices are: (array([0, 1, 2]),) WARNING!! Some values in the pdb structure of 6CCI_A l = 486 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131]),) WARNING!! Some values in the pdb structure of 6CGO_B l = 545 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 455, 456, 457, 458, 459, 460, 533, 534, 535, 536, 537]),) WARNING!! Some values in the pdb structure of 6CK1_D l = 408 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 186, 187, 188, 189, 190, 191]),) WARNING!! Some values in the pdb structure of 6CMK_A l = 405 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]),) WARNING!! Some values in the pdb structure of 6CP8_B l = 163 are missing or nan! Indices are: (array([0]),) WARNING!! Some values in the pdb structure of 6CP8_D l = 164 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6]),) WARNING!! Some values in the pdb structure of 6CP9_G l = 121 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]),) WARNING!! Some values in the pdb structure of 6CPU_A l = 570 are missing or nan! Indices are: (array([ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 104, 105, 106, 107, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 324, 325, 326, 327, 328]),) WARNING!! Some values in the pdb structure of 6CSV_D l = 93 are missing or nan! Indices are: (array([ 0, 40, 41, 42, 43, 44, 45]),) WARNING!! Some values in the pdb structure of 6CUL_H l = 275 are missing or nan! Indices are: (array([ 0, 27, 28, 29, 30, 225, 226, 227]),) WARNING!! Some values in the pdb structure of 6CZ6_D l = 423 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 408, 409]),) WARNING!! Some values in the pdb structure of 6CZT_A l = 90 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6, 7]),) WARNING!! Some values in the pdb structure of 6D0I_D l = 72 are missing or nan! Indices are: (array([0]),) WARNING!! Some values in the pdb structure of 6D2S_A l = 284 are missing or nan! Indices are: (array([ 0, 203, 204, 205, 206, 207, 208, 209, 210]),) WARNING!! Some values in the pdb structure of 6D7Y_A l = 96 are missing or nan! Indices are: (array([0, 1, 2, 3]),) WARNING!! Some values in the pdb structure of 6D97_D l = 547 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]),) WARNING!! Some values in the pdb structure of 6D9F_B l = 325 are missing or nan! Indices are: (array([0, 1, 2]),) WARNING!! Some values in the pdb structure of 6DAN_D l = 329 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5]),) WARNING!! Some values in the pdb structure of 6DFL_A l = 259 are missing or nan! Indices are: (array([54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71]),) WARNING!! Some values in the pdb structure of 6DGN_B l = 95 are missing or nan! Indices are: (array([0, 1, 2, 3]),) WARNING!! Some values in the pdb structure of 6DKA_I l = 233 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5, 6]),) WARNING!! Some values in the pdb structure of 6DKM_G l = 78 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Some values in the pdb structure of 6DLC_A l = 115 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 76, 77, 78, 79]),) WARNING!! Some values in the pdb structure of 6DLO_A l = 358 are missing or nan! Indices are: (array([ 0, 1, 20, 21, 22, 23, 24, 115, 116, 117, 118, 119, 167, 168, 169, 170, 171, 172, 173, 174, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 324, 325, 326, 327, 328, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348]),) WARNING!! Some values in the pdb structure of 6DTD_A l = 1125 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 118, 119, 120, 121, 215, 216, 217, 218, 219, 220, 221, 222, 338, 339, 340, 341, 342, 343, 344, 345, 431, 432, 433, 434, 435, 436, 897, 898, 899, 900, 901, 902, 903, 1094, 1095, 1096, 1097]),) WARNING!! Some values in the pdb structure of 6E0K_A l = 296 are missing or nan! Indices are: (array([0]),) WARNING!! Some values in the pdb structure of 6E0M_A l = 291 are missing or nan! Indices are: (array([76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94]),) WARNING!! Some values in the pdb structure of 6E3C_C l = 137 are missing or nan! Indices are: (array([0, 1, 2]),) WARNING!! Some values in the pdb structure of 6E9B_D l = 420 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 77, 78, 79, 108, 109, 110, 123, 124]),) WARNING!! Some values in the pdb structure of 6E9O_A l = 443 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289]),) WARNING!! Some values in the pdb structure of 6EAZ_B l = 374 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171]),) WARNING!! Some values in the pdb structure of 6EDB_B l = 73 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5]),) WARNING!! Some values in the pdb structure of 6EGC_A l = 155 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 78, 79, 80, 81]),) WARNING!! Some values in the pdb structure of 6FCG_F l = 430 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36]),) WARNING!! Some values in the pdb structure of 6FTO_C l = 81 are missing or nan! Indices are: (array([0, 1, 2, 3, 4, 5]),) WARNING!! Some values in the pdb structure of 6FXD_B l = 141 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),) WARNING!! Some values in the pdb structure of 6G1H_A l = 343 are missing or nan! Indices are: (array([298]),) WARNING!! Some values in the pdb structure of 6G3B_B l = 231 are missing or nan! Indices are: (array([ 0, 1, 45, 46, 47, 48]),) WARNING!! Some values in the pdb structure of 6G70_B l = 607 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298]),) WARNING!! Some values in the pdb structure of 6GDJ_B l = 71 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Some values in the pdb structure of 6GHO_B l = 295 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]),) WARNING!! Some values in the pdb structure of 6GMA_F l = 139 are missing or nan! Indices are: (array([ 0, 31, 32, 33, 34, 35, 36, 37, 38, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96]),) WARNING!! Some values in the pdb structure of 6H2X_A l = 354 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Some values in the pdb structure of 6H6N_B l = 129 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]),) WARNING!! Some values in the pdb structure of 6HC2_X l = 68 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43]),) WARNING!! Some values in the pdb structure of 6HPV_A l = 370 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306]),) WARNING!! Some values in the pdb structure of 6I1R_B l = 313 are missing or nan! Indices are: (array([27, 28, 29]),) WARNING!! Some values in the pdb structure of 6I9H_A l = 94 are missing or nan! Indices are: (array([0, 1]),) WARNING!! Some values in the pdb structure of 6IAI_D l = 114 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 95]),) WARNING!! Some values in the pdb structure of 6IEH_A l = 97 are missing or nan! Indices are: (array([46, 47, 48, 73, 74, 75, 76, 77, 78, 84, 85, 86]),) WARNING!! Some values in the pdb structure of 6N0T_A l = 440 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 89, 90, 91, 92, 93, 208, 209, 210, 211, 212]),) WARNING!! Some values in the pdb structure of 6N8P_A l = 926 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 841, 842, 843, 844, 845, 846]),) WARNING!! Some values in the pdb structure of 6OHZ_A l = 230 are missing or nan! Indices are: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143]),) WARNING: Some pdbs in the following list have NaNs in their distances: ['5OD1_A', '5OD9_B', '5OQK_A', '5OVM_A', '5W5P_A', '5WB4_H', '5XJO_E', '5XKJ_F', '5XKN_F', '5Y08_A', '5YA6_B', '5YRQ_E', '5YVQ_A', '5YVQ_B', '5Z2H_B', '5Z2I_D', '5Z34_A', '5Z36_A', '5Z3F_A', '5Z3K_B', '5Z6D_B', '5Z7C_A', '5Z8B_B', '5Z9T_B', '5ZB2_A', '5ZER_B', '5ZKE_A', '5ZKH_B', '5ZKT_B', '5ZME_A', '5ZNS_A', '5ZOR_A', '5ZT0_J', '5ZT7_B', '5ZX9_A', '5ZYO_D', '6A2W_A', '6A5F_B', '6A5G_B', '6A68_A', '6A83_A', '6A9J_B', '6A9W_A', '6AAY_A', '6AE1_B', '6AE8_D', '6AE9_B', '6AEF_A', '6AGH_B', '6AGJ_B', '6AHQ_T', '6AIT_F', '6AJJ_A', '6AKJ_B', '6BEA_A', '6BS5_A', '6BS5_B', '6BWH_C', '6BXS_C', '6BXW_A', '6BZJ_A', '6BZK_A', '6BZT_D', '6CB6_A', '6CCI_A', '6CGO_B', '6CK1_D', '6CMK_A', '6CP8_B', '6CP8_D', '6CP9_G', '6CP9_H', '6CPU_A', '6CSV_D', '6CUL_H', '6CZ6_D', '6CZT_A', '6D0I_C', '6D0I_D', '6D2S_A', '6D7Y_A', '6D7Y_B', '6D97_D', '6D9F_B', '6D9M_A', '6DAN_D', '6DFL_A', '6DGN_B', '6DII_L', '6DKA_I', '6DKM_G', '6DLC_A', '6DLO_A', '6DRF_A', '6DTD_A', '6E0K_A', '6E0M_A', '6E3C_C', '6E9B_D', '6E9O_A', '6EAZ_B', '6EDB_B', '6EGC_A', '6FCG_F', '6FTO_C', '6FXD_B', '6G1H_A', '6G3B_B', '6G70_B', '6G7G_A', '6G7O_A', '6G8Y_A', '6GCJ_A', '6GDJ_B', '6GHO_B', '6GMA_F', '6GMS_A', '6GW7_A', '6H2X_A', '6H6N_B', '6HC2_X', '6HPV_A', '6I1R_B', '6I9H_A', '6IAI_D', '6IEH_A', '6N0T_A', '6N8P_A', '6NU4_A', '6NX4_A', '6OHZ_A'] Precision for 0 - 5OD1_A top_L5_lr = 0.5263 top_L_lr = 0.1915 top_Nc_lr = 0.3824 top_L5_mlr = 0.7895 top_L_mlr = 0.3830 top_Nc_mlr = 0.5312 (total_true_lr = 34 total_true_mlr = 64) Precision for 1 - 5OD9_B top_L5_lr = 0.8889 top_L_lr = 0.2614 top_Nc_lr = 0.4524 top_L5_mlr = 1.0000 top_L_mlr = 0.4432 top_Nc_mlr = 0.5417 (total_true_lr = 42 total_true_mlr = 72) Precision for 2 - 5OQK_A top_L5_lr = 0.0690 top_L_lr = 0.0680 top_Nc_lr = 0.0725 top_L5_mlr = 0.0690 top_L_mlr = 0.0952 top_Nc_mlr = 0.1341 (total_true_lr = 69 total_true_mlr = 82) Precision for 3 - 5OVM_A top_L5_lr = 0.5625 top_L_lr = 0.3171 top_Nc_lr = 0.4872 top_L5_mlr = 0.6875 top_L_mlr = 0.4146 top_Nc_mlr = 0.4706 (total_true_lr = 39 total_true_mlr = 51) Precision for 4 - 5W5P_A top_L5_lr = 0.6803 top_L_lr = 0.4902 top_Nc_lr = 0.3328 top_L5_mlr = 0.7623 top_L_mlr = 0.5918 top_Nc_mlr = 0.3519 (total_true_lr = 1157 total_true_mlr = 1594) Precision for 5 - 5WB4_H top_L5_lr = 1.0000 top_L_lr = 0.9016 top_Nc_lr = 0.7429 top_L5_mlr = 1.0000 top_L_mlr = 0.8860 top_Nc_mlr = 0.7109 (total_true_lr = 319 total_true_mlr = 377) Precision for 6 - 5XJO_E top_L5_lr = 0.8750 top_L_lr = 0.4286 top_Nc_lr = 0.4722 top_L5_mlr = 1.0000 top_L_mlr = 0.8095 top_Nc_mlr = 0.6129 (total_true_lr = 36 total_true_mlr = 62) Precision for 7 - 5XKJ_F top_L5_lr = 0.5556 top_L_lr = 0.2889 top_Nc_lr = 0.3448 top_L5_mlr = 1.0000 top_L_mlr = 0.6000 top_Nc_mlr = 0.5769 (total_true_lr = 29 total_true_mlr = 52) Precision for 8 - 5XKN_F top_L5_lr = 0.5714 top_L_lr = 0.2353 top_Nc_lr = 0.4545 top_L5_mlr = 0.8571 top_L_mlr = 0.7353 top_Nc_mlr = 0.7027 (total_true_lr = 11 total_true_mlr = 37) Precision for 9 - 5Y08_A top_L5_lr = 0.9024 top_L_lr = 0.4146 top_Nc_lr = 0.4967 top_L5_mlr = 0.8780 top_L_mlr = 0.4829 top_Nc_mlr = 0.4698 (total_true_lr = 151 total_true_mlr = 215) Precision for 10 - 5YA6_B top_L5_lr = 1.0000 top_L_lr = 0.7152 top_Nc_lr = 0.5194 top_L5_mlr = 1.0000 top_L_mlr = 0.8667 top_Nc_mlr = 0.5603 (total_true_lr = 310 total_true_mlr = 398) Precision for 11 - 5YRQ_E top_L5_lr = 0.7500 top_L_lr = 0.4380 top_Nc_lr = 0.4537 top_L5_mlr = 0.8750 top_L_mlr = 0.4793 top_Nc_mlr = 0.4793 (total_true_lr = 108 total_true_mlr = 121) Precision for 12 - 5YVQ_A top_L5_lr = 0.1528 top_L_lr = 0.0559 top_Nc_lr = 0.1354 top_L5_mlr = 0.6806 top_L_mlr = 0.3156 top_Nc_mlr = 0.3497 (total_true_lr = 96 total_true_mlr = 306) Precision for 13 - 5YVQ_B top_L5_lr = 0.9524 top_L_lr = 0.5049 top_Nc_lr = 0.4906 top_L5_mlr = 1.0000 top_L_mlr = 0.7087 top_Nc_mlr = 0.5669 (total_true_lr = 106 total_true_mlr = 157) Precision for 14 - 5Z2H_B top_L5_lr = 1.0000 top_L_lr = 0.4286 top_Nc_lr = 0.6939 top_L5_mlr = 1.0000 top_L_mlr = 0.6264 top_Nc_mlr = 0.7067 (total_true_lr = 49 total_true_mlr = 75) Precision for 15 - 5Z2I_D top_L5_lr = 1.0000 top_L_lr = 0.4239 top_Nc_lr = 0.7021 top_L5_mlr = 1.0000 top_L_mlr = 0.6087 top_Nc_mlr = 0.7123 (total_true_lr = 47 total_true_mlr = 73) Precision for 16 - 5Z34_A top_L5_lr = 0.8611 top_L_lr = 0.6260 top_Nc_lr = 0.4683 top_L5_mlr = 0.9306 top_L_mlr = 0.6676 top_Nc_mlr = 0.4653 (total_true_lr = 630 total_true_mlr = 793) Precision for 17 - 5Z36_A top_L5_lr = 0.9355 top_L_lr = 0.5195 top_Nc_lr = 0.5195 top_L5_mlr = 0.9355 top_L_mlr = 0.7468 top_Nc_mlr = 0.6024 (total_true_lr = 154 total_true_mlr = 249) Precision for 18 - 5Z3F_A top_L5_lr = 0.9865 top_L_lr = 0.7358 top_Nc_lr = 0.5960 top_L5_mlr = 0.9865 top_L_mlr = 0.7817 top_Nc_mlr = 0.5955 (total_true_lr = 594 total_true_mlr = 717) Precision for 19 - 5Z3K_B top_L5_lr = 1.0000 top_L_lr = 0.8137 top_Nc_lr = 0.5771 top_L5_mlr = 0.9794 top_L_mlr = 0.8489 top_Nc_mlr = 0.5780 (total_true_lr = 1031 total_true_mlr = 1192) Precision for 20 - 5Z6D_B top_L5_lr = 0.6585 top_L_lr = 0.6127 top_Nc_lr = 0.5120 top_L5_mlr = 0.9268 top_L_mlr = 0.5931 top_Nc_mlr = 0.5084 (total_true_lr = 332 total_true_mlr = 476) Precision for 21 - 5Z7C_A top_L5_lr = 0.8072 top_L_lr = 0.4372 top_Nc_lr = 0.4226 top_L5_mlr = 0.8193 top_L_mlr = 0.5386 top_Nc_mlr = 0.4419 (total_true_lr = 452 total_true_mlr = 559) Precision for 22 - 5Z8B_B top_L5_lr = 0.9024 top_L_lr = 0.6275 top_Nc_lr = 0.5484 top_L5_mlr = 0.9268 top_L_mlr = 0.6814 top_Nc_mlr = 0.5375 (total_true_lr = 341 total_true_mlr = 413) Precision for 23 - 5Z9T_B top_L5_lr = 1.0000 top_L_lr = 0.8136 top_Nc_lr = 0.5778 top_L5_mlr = 1.0000 top_L_mlr = 0.8557 top_Nc_mlr = 0.5744 (total_true_lr = 1208 total_true_mlr = 1518) Precision for 24 - 5ZB2_A top_L5_lr = 0.9875 top_L_lr = 0.8134 top_Nc_lr = 0.6727 top_L5_mlr = 1.0000 top_L_mlr = 0.8507 top_Nc_mlr = 0.6605 (total_true_lr = 715 total_true_mlr = 866) Precision for 25 - 5ZER_B top_L5_lr = 1.0000 top_L_lr = 0.7601 top_Nc_lr = 0.6209 top_L5_mlr = 1.0000 top_L_mlr = 0.8410 top_Nc_mlr = 0.6493 (total_true_lr = 546 total_true_mlr = 750) Precision for 26 - 5ZKE_A top_L5_lr = 0.4857 top_L_lr = 0.4310 top_Nc_lr = 0.3990 top_L5_mlr = 0.4286 top_L_mlr = 0.4310 top_Nc_mlr = 0.3850 (total_true_lr = 198 total_true_mlr = 226) Precision for 27 - 5ZKH_B top_L5_lr = 0.6471 top_L_lr = 0.3750 top_Nc_lr = 0.3590 top_L5_mlr = 0.6471 top_L_mlr = 0.3988 top_Nc_mlr = 0.3620 (total_true_lr = 195 total_true_mlr = 221) Precision for 28 - 5ZKT_B top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = 0.2727 top_L_mlr = 0.0727 top_Nc_mlr = 0.4000 (total_true_lr = 0 total_true_mlr = 5) Precision for 29 - 5ZME_A top_L5_lr = 0.6953 top_L_lr = 0.4687 top_Nc_lr = 0.3557 top_L5_mlr = 0.7344 top_L_mlr = 0.5031 top_Nc_mlr = 0.3716 (total_true_lr = 984 total_true_mlr = 1098) Precision for 30 - 5ZNS_A top_L5_lr = 0.8421 top_L_lr = 0.5696 top_Nc_lr = 0.4268 top_L5_mlr = 0.8816 top_L_mlr = 0.6509 top_Nc_mlr = 0.4428 (total_true_lr = 635 total_true_mlr = 804) Precision for 31 - 5ZOR_A top_L5_lr = 0.6667 top_L_lr = 0.2550 top_Nc_lr = 0.4394 top_L5_mlr = 0.6667 top_L_mlr = 0.3289 top_Nc_mlr = 0.4944 (total_true_lr = 66 total_true_mlr = 89) Precision for 32 - 5ZT0_J top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = nan top_L_mlr = nan top_Nc_mlr = nan (total_true_lr = 0 total_true_mlr = 0) Precision for 33 - 5ZT7_B top_L5_lr = 1.0000 top_L_lr = 0.9008 top_Nc_lr = 0.7301 top_L5_mlr = 1.0000 top_L_mlr = 0.9087 top_Nc_mlr = 0.7381 (total_true_lr = 452 total_true_mlr = 504) Precision for 34 - 5ZX9_A top_L5_lr = 0.3333 top_L_lr = 0.2121 top_Nc_lr = 0.1701 top_L5_mlr = 0.8788 top_L_mlr = 0.5394 top_Nc_mlr = 0.3369 (total_true_lr = 241 total_true_mlr = 371) Precision for 35 - 5ZYO_D top_L5_lr = 0.6333 top_L_lr = 0.2368 top_Nc_lr = 0.4250 top_L5_mlr = 0.6333 top_L_mlr = 0.2566 top_Nc_mlr = 0.4086 (total_true_lr = 80 total_true_mlr = 93) Precision for 36 - 6A2W_A top_L5_lr = 0.6364 top_L_lr = 0.2952 top_Nc_lr = 0.5556 top_L5_mlr = 0.6364 top_L_mlr = 0.3133 top_Nc_mlr = 0.4409 (total_true_lr = 63 total_true_mlr = 93) Precision for 37 - 6A5F_B top_L5_lr = 0.9333 top_L_lr = 0.5563 top_Nc_lr = 0.5089 top_L5_mlr = 1.0000 top_L_mlr = 0.8013 top_Nc_mlr = 0.6420 (total_true_lr = 169 total_true_mlr = 257) Precision for 38 - 6A5G_B top_L5_lr = 0.9032 top_L_lr = 0.5032 top_Nc_lr = 0.4912 top_L5_mlr = 1.0000 top_L_mlr = 0.7516 top_Nc_mlr = 0.6077 (total_true_lr = 171 total_true_mlr = 260) Precision for 39 - 6A68_A top_L5_lr = 0.1875 top_L_lr = 0.1296 top_Nc_lr = 0.2143 top_L5_mlr = 0.1562 top_L_mlr = 0.1543 top_Nc_mlr = 0.2099 (total_true_lr = 70 total_true_mlr = 81) Precision for 40 - 6A83_A top_L5_lr = 0.9577 top_L_lr = 0.7731 top_Nc_lr = 0.5874 top_L5_mlr = 0.9577 top_L_mlr = 0.8123 top_Nc_mlr = 0.5912 (total_true_lr = 635 total_true_mlr = 746) Precision for 41 - 6A9J_B top_L5_lr = 0.9853 top_L_lr = 0.5870 top_Nc_lr = 0.5415 top_L5_mlr = 1.0000 top_L_mlr = 0.7640 top_Nc_mlr = 0.5748 (total_true_lr = 386 total_true_mlr = 548) Precision for 42 - 6A9W_A top_L5_lr = 0.9464 top_L_lr = 0.7794 top_Nc_lr = 0.6700 top_L5_mlr = 0.9643 top_L_mlr = 0.8149 top_Nc_mlr = 0.6595 (total_true_lr = 400 total_true_mlr = 467) Precision for 43 - 6AAY_A top_L5_lr = 0.0625 top_L_lr = 0.0509 top_Nc_lr = 0.0505 top_L5_mlr = 0.1625 top_L_mlr = 0.0901 top_Nc_mlr = 0.0789 (total_true_lr = 1308 total_true_mlr = 1609) Precision for 44 - 6AE1_B top_L5_lr = 0.7826 top_L_lr = 0.5000 top_Nc_lr = 0.5189 top_L5_mlr = 0.8696 top_L_mlr = 0.5877 top_Nc_mlr = 0.5426 (total_true_lr = 106 total_true_mlr = 129) Precision for 45 - 6AE8_D top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = nan top_L_mlr = nan top_Nc_mlr = nan (total_true_lr = 0 total_true_mlr = 0) Precision for 46 - 6AE9_B top_L5_lr = 0.9804 top_L_lr = 0.8458 top_Nc_lr = 0.6653 top_L5_mlr = 0.9804 top_L_mlr = 0.8972 top_Nc_mlr = 0.6655 (total_true_lr = 472 total_true_mlr = 574) Precision for 47 - 6AEF_A top_L5_lr = 0.8370 top_L_lr = 0.6288 top_Nc_lr = 0.4921 top_L5_mlr = 0.8913 top_L_mlr = 0.7031 top_Nc_mlr = 0.5195 (total_true_lr = 819 total_true_mlr = 922) Precision for 48 - 6AGH_B top_L5_lr = 0.8000 top_L_lr = 0.3212 top_Nc_lr = 0.3149 top_L5_mlr = 0.7636 top_L_mlr = 0.3796 top_Nc_mlr = 0.3324 (total_true_lr = 289 total_true_mlr = 352) Precision for 49 - 6AGJ_B top_L5_lr = 0.7937 top_L_lr = 0.3429 top_Nc_lr = 0.3396 top_L5_mlr = 0.7302 top_L_mlr = 0.4000 top_Nc_mlr = 0.3465 (total_true_lr = 318 total_true_mlr = 381) Precision for 50 - 6AHQ_T top_L5_lr = 1.0000 top_L_lr = 0.8598 top_Nc_lr = 0.7883 top_L5_mlr = 1.0000 top_L_mlr = 0.9065 top_Nc_mlr = 0.7977 (total_true_lr = 137 total_true_mlr = 173) Precision for 51 - 6AIT_F top_L5_lr = 0.9877 top_L_lr = 0.6379 top_Nc_lr = 0.5992 top_L5_mlr = 1.0000 top_L_mlr = 0.7906 top_Nc_mlr = 0.6512 (total_true_lr = 479 total_true_mlr = 648) Precision for 52 - 6AJJ_A top_L5_lr = 0.8500 top_L_lr = 0.6781 top_Nc_lr = 0.5552 top_L5_mlr = 0.8611 top_L_mlr = 0.6992 top_Nc_mlr = 0.5423 (total_true_lr = 1414 total_true_mlr = 1608) Precision for 53 - 6AKJ_B top_L5_lr = 0.9091 top_L_lr = 0.4818 top_Nc_lr = 0.4690 top_L5_mlr = 1.0000 top_L_mlr = 0.7455 top_Nc_mlr = 0.5974 (total_true_lr = 113 total_true_mlr = 154) Precision for 54 - 6BEA_A top_L5_lr = 0.8391 top_L_lr = 0.6443 top_Nc_lr = 0.4777 top_L5_mlr = 0.8966 top_L_mlr = 0.7644 top_Nc_mlr = 0.5148 (total_true_lr = 1101 total_true_mlr = 1457) Precision for 55 - 6BS5_A top_L5_lr = 1.0000 top_L_lr = 0.7485 top_Nc_lr = 0.6198 top_L5_mlr = 0.9848 top_L_mlr = 0.7788 top_Nc_mlr = 0.6205 (total_true_lr = 484 total_true_mlr = 556) Precision for 56 - 6BS5_B top_L5_lr = 0.9437 top_L_lr = 0.6901 top_Nc_lr = 0.5525 top_L5_mlr = 0.9437 top_L_mlr = 0.7380 top_Nc_mlr = 0.5482 (total_true_lr = 543 total_true_mlr = 633) Precision for 57 - 6BWH_C top_L5_lr = 1.0000 top_L_lr = 0.7800 top_Nc_lr = 0.6491 top_L5_mlr = 1.0000 top_L_mlr = 0.8950 top_Nc_mlr = 0.6603 (total_true_lr = 322 total_true_mlr = 418) Precision for 58 - 6BXS_C top_L5_lr = 0.8333 top_L_lr = 0.4889 top_Nc_lr = 0.3820 top_L5_mlr = 0.9074 top_L_mlr = 0.6074 top_Nc_mlr = 0.4256 (total_true_lr = 466 total_true_mlr = 571) Precision for 59 - 6BXW_A top_L5_lr = 0.8302 top_L_lr = 0.5056 top_Nc_lr = 0.3778 top_L5_mlr = 0.9245 top_L_mlr = 0.5955 top_Nc_mlr = 0.4127 (total_true_lr = 450 total_true_mlr = 550) Precision for 60 - 6BZJ_A top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = nan top_L_mlr = nan top_Nc_mlr = nan (total_true_lr = 0 total_true_mlr = 0) Precision for 61 - 6BZK_A top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = nan top_L_mlr = nan top_Nc_mlr = nan (total_true_lr = 0 total_true_mlr = 0) Precision for 62 - 6BZT_D top_L5_lr = 1.0000 top_L_lr = 0.7505 top_Nc_lr = 0.5474 top_L5_mlr = 1.0000 top_L_mlr = 0.7944 top_Nc_mlr = 0.5544 (total_true_lr = 897 total_true_mlr = 1075) Precision for 63 - 6CB6_A top_L5_lr = 0.1667 top_L_lr = 0.1356 top_Nc_lr = 0.1215 top_L5_mlr = 0.2500 top_L_mlr = 0.1610 top_Nc_mlr = 0.1739 (total_true_lr = 107 total_true_mlr = 138) Precision for 64 - 6CCI_A top_L5_lr = 0.9859 top_L_lr = 0.7486 top_Nc_lr = 0.5490 top_L5_mlr = 0.9859 top_L_mlr = 0.7881 top_Nc_mlr = 0.5342 (total_true_lr = 623 total_true_mlr = 732) Precision for 65 - 6CGO_B top_L5_lr = 0.8039 top_L_lr = 0.5709 top_Nc_lr = 0.4474 top_L5_mlr = 0.8922 top_L_mlr = 0.6594 top_Nc_mlr = 0.4838 (total_true_lr = 798 total_true_mlr = 926) Precision for 66 - 6CK1_D top_L5_lr = 0.5333 top_L_lr = 0.4053 top_Nc_lr = 0.3481 top_L5_mlr = 0.9067 top_L_mlr = 0.7120 top_Nc_mlr = 0.5224 (total_true_lr = 540 total_true_mlr = 938) Precision for 67 - 6CMK_A top_L5_lr = 0.5867 top_L_lr = 0.4187 top_Nc_lr = 0.3647 top_L5_mlr = 0.9067 top_L_mlr = 0.7253 top_Nc_mlr = 0.5302 (total_true_lr = 521 total_true_mlr = 911) Precision for 68 - 6CP8_B top_L5_lr = 0.7500 top_L_lr = 0.3333 top_Nc_lr = 0.3696 top_L5_mlr = 0.8750 top_L_mlr = 0.5247 top_Nc_mlr = 0.4802 (total_true_lr = 138 total_true_mlr = 202) Precision for 69 - 6CP8_D top_L5_lr = 0.6774 top_L_lr = 0.2930 top_Nc_lr = 0.3099 top_L5_mlr = 0.8387 top_L_mlr = 0.4076 top_Nc_mlr = 0.3846 (total_true_lr = 142 total_true_mlr = 182) Precision for 70 - 6CP9_G top_L5_lr = 0.6364 top_L_lr = 0.4037 top_Nc_lr = 0.4521 top_L5_mlr = 1.0000 top_L_mlr = 0.7064 top_Nc_mlr = 0.6434 (total_true_lr = 73 total_true_mlr = 143) Precision for 71 - 6CP9_H top_L5_lr = 0.4348 top_L_lr = 0.2807 top_Nc_lr = 0.3382 top_L5_mlr = 0.9565 top_L_mlr = 0.7281 top_Nc_mlr = 0.5848 (total_true_lr = 68 total_true_mlr = 171) Precision for 72 - 6CPU_A top_L5_lr = 0.9333 top_L_lr = 0.5475 top_Nc_lr = 0.3981 top_L5_mlr = 0.9429 top_L_mlr = 0.5875 top_Nc_mlr = 0.3998 (total_true_lr = 829 total_true_mlr = 938) Precision for 73 - 6CSV_D top_L5_lr = 0.0588 top_L_lr = 0.0465 top_Nc_lr = 0.0385 top_L5_mlr = 0.2353 top_L_mlr = 0.0814 top_Nc_mlr = 0.1714 (total_true_lr = 26 total_true_mlr = 35) Precision for 74 - 6CUL_H top_L5_lr = 0.7925 top_L_lr = 0.5169 top_Nc_lr = 0.4425 top_L5_mlr = 0.8491 top_L_mlr = 0.5993 top_Nc_mlr = 0.4346 (total_true_lr = 391 total_true_mlr = 497) Precision for 75 - 6CZ6_D top_L5_lr = 0.9846 top_L_lr = 0.6012 top_Nc_lr = 0.5535 top_L5_mlr = 1.0000 top_L_mlr = 0.7730 top_Nc_mlr = 0.5985 (total_true_lr = 374 total_true_mlr = 533) Precision for 76 - 6CZT_A top_L5_lr = 0.8750 top_L_lr = 0.7317 top_Nc_lr = 0.6869 top_L5_mlr = 0.8750 top_L_mlr = 0.7561 top_Nc_mlr = 0.6257 (total_true_lr = 99 total_true_mlr = 171) Precision for 77 - 6D0I_C top_L5_lr = 0.9688 top_L_lr = 0.7673 top_Nc_lr = 0.5850 top_L5_mlr = 0.9688 top_L_mlr = 0.8176 top_Nc_mlr = 0.6033 (total_true_lr = 253 total_true_mlr = 300) Precision for 78 - 6D0I_D top_L5_lr = 0.0000 top_L_lr = 0.1268 top_Nc_lr = 0.1600 top_L5_mlr = 0.4286 top_L_mlr = 0.2394 top_Nc_mlr = 0.3333 (total_true_lr = 25 total_true_mlr = 45) Precision for 79 - 6D2S_A top_L5_lr = 0.9455 top_L_lr = 0.6291 top_Nc_lr = 0.5404 top_L5_mlr = 0.9636 top_L_mlr = 0.7782 top_Nc_mlr = 0.5866 (total_true_lr = 359 total_true_mlr = 491) Precision for 80 - 6D7Y_A top_L5_lr = 0.8889 top_L_lr = 0.4783 top_Nc_lr = 0.5692 top_L5_mlr = 0.8889 top_L_mlr = 0.6304 top_Nc_mlr = 0.5980 (total_true_lr = 65 total_true_mlr = 102) Precision for 81 - 6D7Y_B top_L5_lr = 0.7097 top_L_lr = 0.4839 top_Nc_lr = 0.4028 top_L5_mlr = 0.8065 top_L_mlr = 0.6000 top_Nc_mlr = 0.4353 (total_true_lr = 211 total_true_mlr = 278) Precision for 82 - 6D97_D top_L5_lr = 0.9423 top_L_lr = 0.7031 top_Nc_lr = 0.5346 top_L5_mlr = 0.9615 top_L_mlr = 0.7816 top_Nc_mlr = 0.5661 (total_true_lr = 984 total_true_mlr = 1180) Precision for 83 - 6D9F_B top_L5_lr = 0.8281 top_L_lr = 0.3758 top_Nc_lr = 0.3226 top_L5_mlr = 0.8281 top_L_mlr = 0.4130 top_Nc_mlr = 0.3361 (total_true_lr = 434 total_true_mlr = 485) Precision for 84 - 6D9M_A top_L5_lr = 0.8615 top_L_lr = 0.5521 top_Nc_lr = 0.5013 top_L5_mlr = 0.9231 top_L_mlr = 0.6227 top_Nc_mlr = 0.4752 (total_true_lr = 377 total_true_mlr = 505) Precision for 85 - 6DAN_D top_L5_lr = 1.0000 top_L_lr = 0.7554 top_Nc_lr = 0.5749 top_L5_mlr = 1.0000 top_L_mlr = 0.8204 top_Nc_mlr = 0.5968 (total_true_lr = 581 total_true_mlr = 697) Precision for 86 - 6DFL_A top_L5_lr = 0.9792 top_L_lr = 0.7469 top_Nc_lr = 0.6558 top_L5_mlr = 0.9792 top_L_mlr = 0.8382 top_Nc_mlr = 0.6803 (total_true_lr = 308 total_true_mlr = 391) Precision for 87 - 6DGN_B top_L5_lr = 0.3333 top_L_lr = 0.2637 top_Nc_lr = 0.2857 top_L5_mlr = 0.9444 top_L_mlr = 0.6044 top_Nc_mlr = 0.4653 (total_true_lr = 70 total_true_mlr = 144) Precision for 88 - 6DII_L top_L5_lr = 0.9837 top_L_lr = 0.7776 top_Nc_lr = 0.5658 top_L5_mlr = 0.9837 top_L_mlr = 0.8149 top_Nc_mlr = 0.5698 (total_true_lr = 1262 total_true_mlr = 1411) Precision for 89 - 6DKA_I top_L5_lr = 0.9556 top_L_lr = 0.6018 top_Nc_lr = 0.4795 top_L5_mlr = 0.9778 top_L_mlr = 0.7301 top_Nc_mlr = 0.5271 (total_true_lr = 317 total_true_mlr = 387) Precision for 90 - 6DKM_G top_L5_lr = 0.2000 top_L_lr = 0.0658 top_Nc_lr = 0.1000 top_L5_mlr = 0.4667 top_L_mlr = 0.1447 top_Nc_mlr = 0.2368 (total_true_lr = 30 total_true_mlr = 38) Precision for 91 - 6DLC_A top_L5_lr = 0.0000 top_L_lr = 0.0286 top_Nc_lr = 0.0175 top_L5_mlr = 0.0000 top_L_mlr = 0.0286 top_Nc_mlr = 0.0303 (total_true_lr = 57 total_true_mlr = 66) Precision for 92 - 6DLO_A top_L5_lr = 0.6935 top_L_lr = 0.3891 top_Nc_lr = 0.3598 top_L5_mlr = 0.9194 top_L_mlr = 0.8039 top_Nc_mlr = 0.5560 (total_true_lr = 378 total_true_mlr = 750) Precision for 93 - 6DRF_A top_L5_lr = 0.3448 top_L_lr = 0.2168 top_Nc_lr = 0.2967 top_L5_mlr = 0.4483 top_L_mlr = 0.2587 top_Nc_mlr = 0.3267 (total_true_lr = 91 total_true_mlr = 101) Precision for 94 - 6DTD_A top_L5_lr = 0.4076 top_L_lr = 0.1605 top_Nc_lr = 0.1381 top_L5_mlr = 0.4739 top_L_mlr = 0.2279 top_Nc_mlr = 0.1765 (total_true_lr = 1332 total_true_mlr = 1603) Precision for 95 - 6E0K_A top_L5_lr = 0.8305 top_L_lr = 0.5322 top_Nc_lr = 0.4958 top_L5_mlr = 0.8814 top_L_mlr = 0.6271 top_Nc_mlr = 0.5368 (total_true_lr = 355 total_true_mlr = 462) Precision for 96 - 6E0M_A top_L5_lr = 0.9259 top_L_lr = 0.5993 top_Nc_lr = 0.5131 top_L5_mlr = 0.9815 top_L_mlr = 0.7316 top_Nc_mlr = 0.5698 (total_true_lr = 343 total_true_mlr = 437) Precision for 97 - 6E3C_C top_L5_lr = 1.0000 top_L_lr = 0.3881 top_Nc_lr = 0.7164 top_L5_mlr = 0.9259 top_L_mlr = 0.5597 top_Nc_mlr = 0.5833 (total_true_lr = 67 total_true_mlr = 120) Precision for 98 - 6E9B_D top_L5_lr = 0.6622 top_L_lr = 0.4837 top_Nc_lr = 0.3881 top_L5_mlr = 0.6757 top_L_mlr = 0.5435 top_Nc_mlr = 0.4059 (total_true_lr = 554 total_true_mlr = 712) Precision for 99 - 6E9O_A top_L5_lr = 0.8987 top_L_lr = 0.7583 top_Nc_lr = 0.6489 top_L5_mlr = 0.9367 top_L_mlr = 0.7888 top_Nc_mlr = 0.6568 (total_true_lr = 618 total_true_mlr = 679) Precision for 100 - 6EAZ_B top_L5_lr = 0.7121 top_L_lr = 0.2927 top_Nc_lr = 0.2891 top_L5_mlr = 0.7424 top_L_mlr = 0.3537 top_Nc_mlr = 0.3069 (total_true_lr = 339 total_true_mlr = 404) Precision for 101 - 6EDB_B top_L5_lr = 0.3077 top_L_lr = 0.1791 top_Nc_lr = 0.1923 top_L5_mlr = 0.5385 top_L_mlr = 0.2687 top_Nc_mlr = 0.3784 (total_true_lr = 26 total_true_mlr = 37) Precision for 102 - 6EGC_A top_L5_lr = 0.6552 top_L_lr = 0.3946 top_Nc_lr = 0.4118 top_L5_mlr = 0.6897 top_L_mlr = 0.4490 top_Nc_mlr = 0.4286 (total_true_lr = 136 total_true_mlr = 161) Precision for 103 - 6FCG_F top_L5_lr = 0.9747 top_L_lr = 0.7328 top_Nc_lr = 0.5695 top_L5_mlr = 0.9747 top_L_mlr = 0.7888 top_Nc_mlr = 0.5681 (total_true_lr = 655 total_true_mlr = 778) Precision for 104 - 6FTO_C top_L5_lr = 0.0000 top_L_lr = 0.0133 top_Nc_lr = 0.0000 top_L5_mlr = 0.0000 top_L_mlr = 0.0400 top_Nc_mlr = 0.0339 (total_true_lr = 21 total_true_mlr = 59) Precision for 105 - 6FXD_B top_L5_lr = 0.9583 top_L_lr = 0.8512 top_Nc_lr = 0.7676 top_L5_mlr = 0.9583 top_L_mlr = 0.9174 top_Nc_mlr = 0.7487 (total_true_lr = 142 total_true_mlr = 195) Precision for 106 - 6G1H_A top_L5_lr = 1.0000 top_L_lr = 0.8772 top_Nc_lr = 0.6860 top_L5_mlr = 1.0000 top_L_mlr = 0.9123 top_Nc_mlr = 0.6965 (total_true_lr = 605 total_true_mlr = 748) Precision for 107 - 6G3B_B top_L5_lr = 0.6222 top_L_lr = 0.4311 top_Nc_lr = 0.4537 top_L5_mlr = 0.8000 top_L_mlr = 0.5867 top_Nc_mlr = 0.5067 (total_true_lr = 205 total_true_mlr = 300) Precision for 108 - 6G70_B top_L5_lr = 0.5490 top_L_lr = 0.3176 top_Nc_lr = 0.3904 top_L5_mlr = 0.8824 top_L_mlr = 0.5471 top_Nc_mlr = 0.5460 (total_true_lr = 333 total_true_mlr = 511) Precision for 109 - 6G7G_A top_L5_lr = 1.0000 top_L_lr = 0.8522 top_Nc_lr = 0.7200 top_L5_mlr = 1.0000 top_L_mlr = 0.9043 top_Nc_mlr = 0.7047 (total_true_lr = 175 total_true_mlr = 254) Precision for 110 - 6G7O_A top_L5_lr = 0.7571 top_L_lr = 0.4600 top_Nc_lr = 0.4593 top_L5_mlr = 0.8571 top_L_mlr = 0.5257 top_Nc_mlr = 0.4543 (total_true_lr = 344 total_true_mlr = 449) Precision for 111 - 6G8Y_A top_L5_lr = 0.9444 top_L_lr = 0.3913 top_Nc_lr = 0.4304 top_L5_mlr = 1.0000 top_L_mlr = 0.6522 top_Nc_mlr = 0.5169 (total_true_lr = 79 total_true_mlr = 118) Precision for 112 - 6GCJ_A top_L5_lr = 0.5417 top_L_lr = 0.4132 top_Nc_lr = 0.3005 top_L5_mlr = 0.5417 top_L_mlr = 0.4132 top_Nc_mlr = 0.2805 (total_true_lr = 213 total_true_mlr = 246) Precision for 113 - 6GDJ_B top_L5_lr = 0.2143 top_L_lr = 0.2029 top_Nc_lr = 0.2453 top_L5_mlr = 0.4286 top_L_mlr = 0.3478 top_Nc_mlr = 0.3636 (total_true_lr = 53 total_true_mlr = 66) Precision for 114 - 6GHO_B top_L5_lr = 0.9818 top_L_lr = 0.6788 top_Nc_lr = 0.5667 top_L5_mlr = 0.9818 top_L_mlr = 0.7774 top_Nc_mlr = 0.5987 (total_true_lr = 360 total_true_mlr = 446) Precision for 115 - 6GMA_F top_L5_lr = 0.9583 top_L_lr = 0.6333 top_Nc_lr = 0.6491 top_L5_mlr = 1.0000 top_L_mlr = 0.7583 top_Nc_mlr = 0.6709 (total_true_lr = 114 total_true_mlr = 158) Precision for 116 - 6GMS_A top_L5_lr = 0.4231 top_L_lr = 0.2576 top_Nc_lr = 0.3258 top_L5_mlr = 0.7692 top_L_mlr = 0.5227 top_Nc_mlr = 0.4877 (total_true_lr = 89 total_true_mlr = 162) Precision for 117 - 6GW7_A top_L5_lr = 0.6667 top_L_lr = 0.2373 top_Nc_lr = 0.6667 top_L5_mlr = 0.7500 top_L_mlr = 0.4068 top_Nc_mlr = 0.5172 (total_true_lr = 15 total_true_mlr = 29) Precision for 118 - 6H2X_A top_L5_lr = 0.9000 top_L_lr = 0.5597 top_Nc_lr = 0.6263 top_L5_mlr = 0.8857 top_L_mlr = 0.5682 top_Nc_mlr = 0.6156 (total_true_lr = 281 total_true_mlr = 307) Precision for 119 - 6H6N_B top_L5_lr = 1.0000 top_L_lr = 0.6695 top_Nc_lr = 0.6183 top_L5_mlr = 1.0000 top_L_mlr = 0.8305 top_Nc_mlr = 0.6628 (total_true_lr = 131 total_true_mlr = 172) Precision for 120 - 6HC2_X top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = nan top_L_mlr = nan top_Nc_mlr = nan (total_true_lr = 0 total_true_mlr = 0) Precision for 121 - 6HPV_A top_L5_lr = 0.9667 top_L_lr = 0.6355 top_Nc_lr = 0.4229 top_L5_mlr = 1.0000 top_L_mlr = 0.8094 top_Nc_mlr = 0.4893 (total_true_lr = 558 total_true_mlr = 701) Precision for 122 - 6I1R_B top_L5_lr = 0.9032 top_L_lr = 0.5645 top_Nc_lr = 0.5356 top_L5_mlr = 0.9032 top_L_mlr = 0.5806 top_Nc_mlr = 0.5352 (total_true_lr = 379 total_true_mlr = 398) Precision for 123 - 6I9H_A top_L5_lr = 0.5556 top_L_lr = 0.4239 top_Nc_lr = 0.4105 top_L5_mlr = 0.7778 top_L_mlr = 0.5870 top_Nc_mlr = 0.4362 (total_true_lr = 95 total_true_mlr = 149) Precision for 124 - 6IAI_D top_L5_lr = 0.3810 top_L_lr = 0.2264 top_Nc_lr = 0.3043 top_L5_mlr = 0.4286 top_L_mlr = 0.2170 top_Nc_mlr = 0.2143 (total_true_lr = 69 total_true_mlr = 112) Precision for 125 - 6IEH_A top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = 0.0000 top_L_mlr = 0.0000 top_Nc_mlr = 0.0000 (total_true_lr = 0 total_true_mlr = 2) Precision for 126 - 6N0T_A top_L5_lr = 0.9740 top_L_lr = 0.5352 top_Nc_lr = 0.4270 top_L5_mlr = 0.9870 top_L_mlr = 0.7363 top_Nc_mlr = 0.5028 (total_true_lr = 541 total_true_mlr = 708) Precision for 127 - 6N8P_A top_L5_lr = 0.4788 top_L_lr = 0.2842 top_Nc_lr = 0.2181 top_L5_mlr = 0.9939 top_L_mlr = 0.6336 top_Nc_mlr = 0.3893 (total_true_lr = 1348 total_true_mlr = 1978) Precision for 128 - 6NU4_A top_L5_lr = nan top_L_lr = nan top_Nc_lr = nan top_L5_mlr = 0.0000 top_L_mlr = 0.0000 top_Nc_mlr = 0.0000 (total_true_lr = 0 total_true_mlr = 2) Precision for 129 - 6NX4_A top_L5_lr = 0.6061 top_L_lr = 0.2635 top_Nc_lr = 0.4125 top_L5_mlr = 0.6667 top_L_mlr = 0.3952 top_Nc_mlr = 0.4627 (total_true_lr = 80 total_true_mlr = 134) Precision for 130 - 6OHZ_A top_L5_lr = 0.0952 top_L_lr = 0.1333 top_Nc_lr = 0.1244 top_L5_mlr = 0.2143 top_L_mlr = 0.1762 top_Nc_mlr = 0.1593 (total_true_lr = 225 total_true_mlr = 270) Average Precision: top_L5_lr = 73.69 top_L_lr = 48.28 top_Nc_lr = 45.14 top_L5_mlr = 80.36 top_L_mlr = 58.39 top_Nc_mlr = 48.30 Save predictions.. Written RR ./predictions/5OD1_A.contacts.rr ! Written RR ./predictions/5OD9_B.contacts.rr ! Written RR ./predictions/5OQK_A.contacts.rr ! Written RR ./predictions/5OVM_A.contacts.rr ! Written RR ./predictions/5W5P_A.contacts.rr ! Written RR ./predictions/5WB4_H.contacts.rr ! Written RR ./predictions/5XJO_E.contacts.rr ! Written RR ./predictions/5XKJ_F.contacts.rr ! Written RR ./predictions/5XKN_F.contacts.rr ! Written RR ./predictions/5Y08_A.contacts.rr ! Written RR ./predictions/5YA6_B.contacts.rr ! Written RR ./predictions/5YRQ_E.contacts.rr ! Written RR ./predictions/5YVQ_A.contacts.rr ! Written RR ./predictions/5YVQ_B.contacts.rr ! Written RR ./predictions/5Z2H_B.contacts.rr ! Written RR ./predictions/5Z2I_D.contacts.rr ! Written RR ./predictions/5Z34_A.contacts.rr ! Written RR ./predictions/5Z36_A.contacts.rr ! Written RR ./predictions/5Z3F_A.contacts.rr ! Written RR ./predictions/5Z3K_B.contacts.rr ! Written RR ./predictions/5Z6D_B.contacts.rr ! Written RR ./predictions/5Z7C_A.contacts.rr ! Written RR ./predictions/5Z8B_B.contacts.rr ! Written RR ./predictions/5Z9T_B.contacts.rr ! Written RR ./predictions/5ZB2_A.contacts.rr ! Written RR ./predictions/5ZER_B.contacts.rr ! Written RR ./predictions/5ZKE_A.contacts.rr ! Written RR ./predictions/5ZKH_B.contacts.rr ! Written RR ./predictions/5ZKT_B.contacts.rr ! Written RR ./predictions/5ZME_A.contacts.rr ! Written RR ./predictions/5ZNS_A.contacts.rr ! Written RR ./predictions/5ZOR_A.contacts.rr ! Written RR ./predictions/5ZT0_J.contacts.rr ! Written RR ./predictions/5ZT7_B.contacts.rr ! Written RR ./predictions/5ZX9_A.contacts.rr ! Written RR ./predictions/5ZYO_D.contacts.rr ! Written RR ./predictions/6A2W_A.contacts.rr ! Written RR ./predictions/6A5F_B.contacts.rr ! Written RR ./predictions/6A5G_B.contacts.rr ! Written RR ./predictions/6A68_A.contacts.rr ! Written RR ./predictions/6A83_A.contacts.rr ! Written RR ./predictions/6A9J_B.contacts.rr ! Written RR ./predictions/6A9W_A.contacts.rr ! Written RR ./predictions/6AAY_A.contacts.rr ! Written RR ./predictions/6AE1_B.contacts.rr ! Written RR ./predictions/6AE8_D.contacts.rr ! Written RR ./predictions/6AE9_B.contacts.rr ! Written RR ./predictions/6AEF_A.contacts.rr ! Written RR ./predictions/6AGH_B.contacts.rr ! Written RR ./predictions/6AGJ_B.contacts.rr ! Written RR ./predictions/6AHQ_T.contacts.rr ! Written RR ./predictions/6AIT_F.contacts.rr ! Written RR ./predictions/6AJJ_A.contacts.rr ! Written RR ./predictions/6AKJ_B.contacts.rr ! Written RR ./predictions/6BEA_A.contacts.rr ! Written RR ./predictions/6BS5_A.contacts.rr ! Written RR ./predictions/6BS5_B.contacts.rr ! Written RR ./predictions/6BWH_C.contacts.rr ! Written RR ./predictions/6BXS_C.contacts.rr ! Written RR ./predictions/6BXW_A.contacts.rr ! Written RR ./predictions/6BZJ_A.contacts.rr ! Written RR ./predictions/6BZK_A.contacts.rr ! Written RR ./predictions/6BZT_D.contacts.rr ! Written RR ./predictions/6CB6_A.contacts.rr ! Written RR ./predictions/6CCI_A.contacts.rr ! Written RR ./predictions/6CGO_B.contacts.rr ! Written RR ./predictions/6CK1_D.contacts.rr ! Written RR ./predictions/6CMK_A.contacts.rr ! Written RR ./predictions/6CP8_B.contacts.rr ! Written RR ./predictions/6CP8_D.contacts.rr ! Written RR ./predictions/6CP9_G.contacts.rr ! Written RR ./predictions/6CP9_H.contacts.rr ! Written RR ./predictions/6CPU_A.contacts.rr ! Written RR ./predictions/6CSV_D.contacts.rr ! Written RR ./predictions/6CUL_H.contacts.rr ! Written RR ./predictions/6CZ6_D.contacts.rr ! Written RR ./predictions/6CZT_A.contacts.rr ! Written RR ./predictions/6D0I_C.contacts.rr ! Written RR ./predictions/6D0I_D.contacts.rr ! Written RR ./predictions/6D2S_A.contacts.rr ! Written RR ./predictions/6D7Y_A.contacts.rr ! Written RR ./predictions/6D7Y_B.contacts.rr ! Written RR ./predictions/6D97_D.contacts.rr ! Written RR ./predictions/6D9F_B.contacts.rr ! Written RR ./predictions/6D9M_A.contacts.rr ! Written RR ./predictions/6DAN_D.contacts.rr ! Written RR ./predictions/6DFL_A.contacts.rr ! Written RR ./predictions/6DGN_B.contacts.rr ! Written RR ./predictions/6DII_L.contacts.rr ! Written RR ./predictions/6DKA_I.contacts.rr ! Written RR ./predictions/6DKM_G.contacts.rr ! Written RR ./predictions/6DLC_A.contacts.rr ! Written RR ./predictions/6DLO_A.contacts.rr ! Written RR ./predictions/6DRF_A.contacts.rr ! Written RR ./predictions/6DTD_A.contacts.rr ! Written RR ./predictions/6E0K_A.contacts.rr ! Written RR ./predictions/6E0M_A.contacts.rr ! Written RR ./predictions/6E3C_C.contacts.rr ! Written RR ./predictions/6E9B_D.contacts.rr ! Written RR ./predictions/6E9O_A.contacts.rr ! Written RR ./predictions/6EAZ_B.contacts.rr ! Written RR ./predictions/6EDB_B.contacts.rr ! Written RR ./predictions/6EGC_A.contacts.rr ! Written RR ./predictions/6FCG_F.contacts.rr ! Written RR ./predictions/6FTO_C.contacts.rr ! Written RR ./predictions/6FXD_B.contacts.rr ! Written RR ./predictions/6G1H_A.contacts.rr ! Written RR ./predictions/6G3B_B.contacts.rr ! Written RR ./predictions/6G70_B.contacts.rr ! Written RR ./predictions/6G7G_A.contacts.rr ! Written RR ./predictions/6G7O_A.contacts.rr ! Written RR ./predictions/6G8Y_A.contacts.rr ! Written RR ./predictions/6GCJ_A.contacts.rr ! Written RR ./predictions/6GDJ_B.contacts.rr ! Written RR ./predictions/6GHO_B.contacts.rr ! Written RR ./predictions/6GMA_F.contacts.rr ! Written RR ./predictions/6GMS_A.contacts.rr ! Written RR ./predictions/6GW7_A.contacts.rr ! Written RR ./predictions/6H2X_A.contacts.rr ! Written RR ./predictions/6H6N_B.contacts.rr ! Written RR ./predictions/6HC2_X.contacts.rr ! Written RR ./predictions/6HPV_A.contacts.rr ! Written RR ./predictions/6I1R_B.contacts.rr ! Written RR ./predictions/6I9H_A.contacts.rr ! Written RR ./predictions/6IAI_D.contacts.rr ! Written RR ./predictions/6IEH_A.contacts.rr ! Written RR ./predictions/6N0T_A.contacts.rr ! Written RR ./predictions/6N8P_A.contacts.rr ! Written RR ./predictions/6NU4_A.contacts.rr ! Written RR ./predictions/6NX4_A.contacts.rr ! Written RR ./predictions/6OHZ_A.contacts.rr ! Everything done! 2020-04-22 16:38:42.510290