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pedia.py
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pedia.py
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Accuracy = 'Accuracy'
activation_sum = 'activation_sum'
batch_mask = 'batch_mask'
cascade = 'cascade'
classes = 'CLASSES'
concat = 'concat'
cross_entropy = 'cross_entropy'
custom_loss_f = 'custom_loss_f'
default = 'default'
default_feed_dict = 'default_feed_dict '
do_not_save = 'do_not_save'
Decoder = 'Decoder'
Discriminator = 'Discriminator'
D_input = 'D_input'
dynamic_opt = 'dynamic_opt'
Encoder = 'Encoder'
features = 'features'
fork = 'fork'
gather_indices = 'gather_indices'
Generator = 'Generator'
G_input = 'G_input'
hyper_kernels = 'hyper_kernels'
invisible = 'do_not_show'
injection_loss = 'INJECTION_LOSS'
is_training = 'is_training'
keep_prob = 'keep_prob'
labels = 'labels'
linear = 'linear'
metric_name = 'metric_name'
metric_foreach = 'metric_foreach'
monitor = 'monitor'
non_train_input = 'non_train_inp'
non_train_target = 'val_targets'
predictions = 'predictions'
prod = 'prod'
pre_activation = 'pre_activation'
post_activation = 'post_activation'
responses = 'responses'
sampling_frequency = 'sampling_frequency'
spherical = 'spherical'
signals = 'signals'
status_tensors = 'status_tensors'
sum = 'sum'
summaries = 'summaries'
targets = 'targets'
tensors_to_export = 'tensors_to_export'
test = 'test'
training = 'training'
train_step_summaries = 'train_step_summaries '
top_k_label = 'top_k_label'
top_k_prob = 'top_k_prob'
train_opt = 'train_opt'
validation = 'validation'
validation_summaries = 'validation_summaries'
with_logits = 'with_logits'
while_loop_lounge = 'while_loop_lounge '
memo = {}
memo[activation_sum] = []
num_classes = 'NUM_CLASSES'
# Keys for tensorflow
class tfkey:
regularization_losses = 'regularization_losses'