def __init__(self, codes_shape, scipy_gmm):
self.graph = tf.Graph()
sess_config = tf.ConfigProto()
sess_config.gpu_options.allow_growth = True
self.sess = tf.Session(graph=self.graph, config=sess_config)
print self.graph
n,c = codes_shape
with self.graph.as_default():
self.pl = PlaceholderManager()
self.pl.add_placeholder('codes', tf.float32, codes_shape)
self.pl.add_placeholder('phase_train', tf.bool, [])
with tf.variable_scope('GMM'):
self.gmm = models.GMM(self.pl['codes'], scipy_gmm, self.pl['phase_train'])
print var_collect.collect_all(self.graph)
#tf.initialize_variables(
# var_list=var_collect.collect_all(self.graph)).run(session=self.sess)
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