How to use the tcav.cav.CAV.load_cav function in tcav
To help you get started, we’ve selected a few tcav examples, based on popular ways it is used in public projects.
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amiratag / ACE / ace.py View on Github 
Args:
c: concept name
r: random concept name
bn: bottleneck layer
directory: where CAV is saved
Returns:
The cav instance
"""
if directory is None:
directory = self.cav_dir
params = tf.contrib.training.HParams(model_type='linear', alpha=.01)
cav_key = cav.CAV.cav_key([c, r], bn, params.model_type, params.alpha)
cav_path = os.path.join(self.cav_dir, cav_key.replace('/', '.') + '.pkl')
vector = cav.CAV.load_cav(cav_path).cavs[0]
return np.expand_dims(vector, 0) / np.linalg.norm(vector, ord=2)
tcav
Testing with Concept Activation Vectors code
