Skip to content

Reflect clustered layer's name in new layer's name #465

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jul 20, 2020
Merged

Reflect clustered layer's name in new layer's name #465

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 7 additions & 0 deletions tensorflow_model_optimization/python/core/clustering/keras/cluster_wrapper.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -62,6 +62,9 @@ def __init__(self,
'Please initialize `Cluster` layer with a '
'`Layer` instance. You passed: {input}'.format(input=layer))

if 'name' not in kwargs:
kwargs['name'] = self._make_layer_name(layer)

if isinstance(layer, clusterable_layer.ClusterableLayer):
# A user-defined custom layer
super(ClusterWeights, self).__init__(layer, **kwargs)
Expand Down Expand Up @@ -133,6 +136,10 @@ def __init__(self,
and hasattr(layer, '_batch_input_shape'):
self._batch_input_shape = self.layer._batch_input_shape

@staticmethod
def _make_layer_name(layer):
return '{}_{}'.format('cluster', layer.name)

@staticmethod
def _weight_name(name):
"""Extracts the weight name from the full TensorFlow variable name.
Expand Down