cnnTesting

/home/heimdall/anaconda3/bin/python /mnt/attic/DADA/codes/cnn/Bnorm.py
/home/heimdall/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
Using TensorFlow backend.
/home/heimdall/anaconda3/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
  return f(*args, **kwds)
channels_last
2018-04-26 11:21:02.269997: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
conv2d_1 (Conv2D)            (None, 62, 62, 32)        896       
_________________________________________________________________
batch_normalization_1 (Batch (None, 62, 62, 32)        128       
_________________________________________________________________
dropout_1 (Dropout)          (None, 62, 62, 32)        0         
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 60, 60, 64)        18496     
_________________________________________________________________
batch_normalization_2 (Batch (None, 60, 60, 64)        256       
_________________________________________________________________
dropout_2 (Dropout)          (None, 60, 60, 64)        0         
_________________________________________________________________
conv2d_3 (Conv2D)            (None, 58, 58, 64)        36928     
_________________________________________________________________
batch_normalization_3 (Batch (None, 58, 58, 64)        256       
_________________________________________________________________
dropout_3 (Dropout)          (None, 58, 58, 64)        0         
_________________________________________________________________
flatten_1 (Flatten)          (None, 215296)            0         
_________________________________________________________________
dense_1 (Dense)              (None, 1024)              220464128 
_________________________________________________________________
batch_normalization_4 (Batch (None, 1024)              4096      
_________________________________________________________________
dropout_4 (Dropout)          (None, 1024)              0         
_________________________________________________________________
dense_2 (Dense)              (None, 2)                 2050      
=================================================================
Total params: 220,527,234
Trainable params: 220,524,866
Non-trainable params: 2,368
_________________________________________________________________
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
conv2d_1 (Conv2D)            (None, 62, 62, 32)        896       
_________________________________________________________________
batch_normalization_1 (Batch (None, 62, 62, 32)        128       
_________________________________________________________________
dropout_1 (Dropout)          (None, 62, 62, 32)        0         
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 60, 60, 64)        18496     
_________________________________________________________________
batch_normalization_2 (Batch (None, 60, 60, 64)        256       
_________________________________________________________________
dropout_2 (Dropout)          (None, 60, 60, 64)        0         
_________________________________________________________________
conv2d_3 (Conv2D)            (None, 58, 58, 64)        36928     
_________________________________________________________________
batch_normalization_3 (Batch (None, 58, 58, 64)        256       
_________________________________________________________________
dropout_3 (Dropout)          (None, 58, 58, 64)        0         
_________________________________________________________________
flatten_1 (Flatten)          (None, 215296)            0         
_________________________________________________________________
dense_1 (Dense)              (None, 1024)              220464128 
_________________________________________________________________
batch_normalization_4 (Batch (None, 1024)              4096      
_________________________________________________________________
dropout_4 (Dropout)          (None, 1024)              0         
_________________________________________________________________
dense_2 (Dense)              (None, 2)                 2050      
=================================================================
Total params: 220,527,234
Trainable params: 220,524,866
Non-trainable params: 2,368
_________________________________________________________________
starting load data
  0%|          | 0/125 [00:00<?, ?it/s]done load data
100%|██████████| 125/125 [00:00<00:00, 149.74it/s]
  0%|          | 0/8 [00:00<?, ?it/s]load model
100%|██████████| 8/8 [00:00<00:00, 157.45it/s]
             precision    recall  f1-score   support

          0       1.00      1.00      1.00         4
          1       1.00      1.00      1.00         4

avg / total       1.00      1.00      1.00         8

[[4 0]
 [0 4]]

Process finished with exit code 0