renaming tfhelpers to utils

plotting.py

@@ -10,7 +10,7 @@ from mpl_toolkits.axes_grid1 import ImageGrid, make_axes_locatable
 import numpy as np
 
 from .keras_visualize_activations.read_activations import get_activations
-from .tfhelpers import get_grad_function, max_activation_wrt_input, create_random_event
+from .utils import get_grad_function, max_activation_wrt_input, create_random_event
 
 import logging
 logger = logging.getLogger(__name__)
@@ -328,10 +328,9 @@ if __name__ == "__main__":
 
     import logging
     logging.basicConfig()
-    logging.getLogger("tfhelpers").setLevel(logging.DEBUG)
-    logging.getLogger(__name__).setLevel(logging.DEBUG)
+    logging.getLogger().setLevel(logging.DEBUG)
 
-    from .tfhelpers import get_single_neuron_function, get_max_activation_events
+    from .utils import get_single_neuron_function, get_max_activation_events
 
     import meme
     # meme.setOptions(overrideCache="/scratch-local/nhartmann/meme_cache")

scripts/plot_NN_2D.py

@@ -15,7 +15,7 @@ from KerasROOTClassification.plotting import (
     plot_hist_2D_events,
     plot_cond_avg_actmax_2D
 )
-from KerasROOTClassification.tfhelpers import get_single_neuron_function, get_max_activation_events
+from KerasROOTClassification.utils import get_single_neuron_function, get_max_activation_events
 
 parser = argparse.ArgumentParser(description='Create various 2D plots for a single neuron')
 parser.add_argument("project_dir")

tfhelpers.py → utils.py

@@ -8,7 +8,7 @@ import keras.backend as K
 
 from meme import cache
 
-logger = logging.getLogger("tfhelpers")
+logger = logging.getLogger(__name__)
 logger.addHandler(logging.NullHandler())
 
 def get_single_neuron_function(model, layer, neuron, scaler=None):