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utils.py
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utils.py
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"""
Utility functions
"""
import os
import random
import tensorflow as tf
def update_target_graph(from_scope,to_scope):
from_vars = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, from_scope)
to_vars = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, to_scope)
op_holder = []
for from_var,to_var in zip(from_vars,to_vars):
op_holder.append(to_var.assign(from_var))
return op_holder
## Image helper
## Copied from Finn's implementation https://github.com/cbfinn/maml/blob/master/utils.py
def get_images(paths, labels, nb_samples=None, shuffle=True):
if nb_samples is not None:
sampler = lambda x: random.sample(x, nb_samples)
else:
sampler = lambda x: x
images = [(i, os.path.join(path, image)) \
for i, path in zip(labels, paths) \
for image in sampler(os.listdir(path))]
if shuffle:
random.shuffle(images)
return images