pytorch/caffe2/python/layer_parameter_sharing_test.py
Jiyan Yang a8695178aa Adding parameter sharing API to Dper2
Summary:
To achive this, I modified the blob name scheme defined in a layer.
Before it was scope/fc_w and scope/fc_w_auto_0 (if there is another fc
    within the same scope).
Now I change it to scope/fc/w and scope/fc_auto_0/w.
That is, we rely on the uniqueness of the scoped layer name to define
names for blobs.

I also overwrote the create_param method in LayerModelHelper to let it
use the resolved name for blobs given the sharingparameter context.

There are some details such as making the initializer more structured
that I need to finalize.

Reviewed By: kennyhorror

Differential Revision: D5435132

fbshipit-source-id: a0525f5ea0977e255dd5ea765b38913f5951d455
2017-08-03 00:33:18 -07:00

105 lines
4.2 KiB
Python

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import scope
from caffe2.python.modeling.parameter_sharing import (
ParameterSharing,
)
from caffe2.python.layer_test_util import LayersTestCase
class ParameterSharingTest(LayersTestCase):
def test_layer_parameter_name(self):
output_dims = 2
with scope.NameScope('global_scope'):
fc1_output = self.model.FC(
self.model.input_feature_schema.float_features,
output_dims
)
self.assertEquals(self.model.layers[-1].w, 'global_scope/fc/w')
self.assertEquals(fc1_output(), 'global_scope/fc/output')
with scope.NameScope('nested_scope'):
fc2_output = self.model.FC(
fc1_output,
output_dims
)
self.assertEquals(self.model.layers[-1].w,
'global_scope/nested_scope/fc/w')
self.assertEquals(fc2_output(),
'global_scope/nested_scope/fc/output')
fc3_output = self.model.FC(
fc1_output,
output_dims
)
self.assertEquals(self.model.layers[-1].w,
'global_scope/nested_scope/fc_auto_0/w')
self.assertEquals(fc3_output(),
'global_scope/nested_scope/fc_auto_0/output')
def test_layer_shared_parameter_name_different_namescopes(self):
output_dims = 2
with scope.NameScope('global_scope'):
with ParameterSharing({'scope_1': 'scope_0'}):
with scope.NameScope('scope_0'):
fc1_output = self.model.FC(
self.model.input_feature_schema.float_features,
output_dims
)
self.assertEquals(self.model.layers[-1].w,
'global_scope/scope_0/fc/w')
self.assertEquals(fc1_output(),
'global_scope/scope_0/fc/output')
with scope.NameScope('scope_1'):
fc2_output = self.model.FC(
self.model.input_feature_schema.float_features,
output_dims
)
self.assertEquals(self.model.layers[-1].w,
'global_scope/scope_0/fc/w')
self.assertEquals(fc2_output(),
'global_scope/scope_1/fc/output')
def test_layer_shared_parameter_name_within_same_namescope(self):
output_dims = 2
with scope.NameScope('global_scope'):
with ParameterSharing({'fc_auto_0': 'fc'}):
self.model.FC(
self.model.input_feature_schema.float_features,
output_dims
)
self.assertEquals(self.model.layers[-1].w,
'global_scope/fc/w')
self.model.FC(
self.model.input_feature_schema.float_features,
output_dims
)
self.assertEquals(self.model.layers[-1].w,
'global_scope/fc/w')
def test_layer_shared_parameter_name_within_same_namescope_customized_name(self):
output_dims = 2
with scope.NameScope('global_scope'):
with ParameterSharing({'new_fc': 'shared_fc'}):
self.model.FC(
self.model.input_feature_schema.float_features,
output_dims,
name='shared_fc'
)
self.assertEquals(self.model.layers[-1].w,
'global_scope/shared_fc/w')
self.model.FC(
self.model.input_feature_schema.float_features,
output_dims,
name='new_fc'
)
self.assertEquals(self.model.layers[-1].w,
'global_scope/shared_fc/w')