Python get_variables_to_restore Examples

Example #1

File: variables_test.py Project: anbrian/models

 def testGetVariablesToRestore(self):
   with self.test_session():
     with tf.variable_scope('A'):
       a = variables.variable('a', [5])
     with tf.variable_scope('B'):
       b = variables.variable('a', [5])
     self.assertEquals([a, b], variables.get_variables_to_restore())

Example #2

 def testGetVariablesToRestore(self):
     with self.test_session():
         with tf.variable_scope('A'):
             a = variables.variable('a', [5])
         with tf.variable_scope('B'):
             b = variables.variable('a', [5])
         self.assertEquals([a, b], variables.get_variables_to_restore())

Example #3

 def testNoneGetVariablesToRestore(self):
     with self.test_session():
         with tf.variable_scope('A'):
             a = variables.variable('a', [5], restore=False)
         with tf.variable_scope('B'):
             b = variables.variable('a', [5], restore=False)
         self.assertEqual([], variables.get_variables_to_restore())
         self.assertEqual([a, b], variables.get_variables())

Example #4

File: variables_test.py Project: ChiLunHuang/models

 def testNoneGetVariablesToRestore(self):
     with self.test_session():
         with tf.variable_scope("A"):
             a = variables.variable("a", [5], restore=False)
         with tf.variable_scope("B"):
             b = variables.variable("a", [5], restore=False)
         self.assertEquals([], variables.get_variables_to_restore())
         self.assertEquals([a, b], variables.get_variables())

Example #5

 def testGetMixedVariablesToRestore(self):
     with self.test_session():
         with tf.variable_scope('A'):
             a = variables.variable('a', [5])
             b = variables.variable('b', [5], restore=False)
         with tf.variable_scope('B'):
             c = variables.variable('c', [5])
             d = variables.variable('d', [5], restore=False)
         self.assertEquals([a, b, c, d], variables.get_variables())
         self.assertEquals([a, c], variables.get_variables_to_restore())

Example #6

File: variables_test.py Project: anbrian/models

 def testGetMixedVariablesToRestore(self):
   with self.test_session():
     with tf.variable_scope('A'):
       a = variables.variable('a', [5])
       b = variables.variable('b', [5], restore=False)
     with tf.variable_scope('B'):
       c = variables.variable('c', [5])
       d = variables.variable('d', [5], restore=False)
     self.assertEquals([a, b, c, d], variables.get_variables())
     self.assertEquals([a, c], variables.get_variables_to_restore())

Example #7

File: variables_test.py Project: ChiLunHuang/models

 def testGetMixedVariablesToRestore(self):
     with self.test_session():
         with tf.variable_scope("A"):
             a = variables.variable("a", [5])
             b = variables.variable("b", [5], restore=False)
         with tf.variable_scope("B"):
             c = variables.variable("c", [5])
             d = variables.variable("d", [5], restore=False)
         self.assertEquals([a, b, c, d], variables.get_variables())
         self.assertEquals([a, c], variables.get_variables_to_restore())

Example #8

File: variables_test.py Project: ChiLunHuang/models

 def testVariableRestoreWithArgScopeNested(self):
     with self.test_session():
         with scopes.arg_scope([variables.variable], restore=True):
             a = variables.variable("a", [])
             with scopes.arg_scope([variables.variable], trainable=False, collections=["A", "B"]):
                 b = variables.variable("b", [])
             c = variables.variable("c", [])
         self.assertListEqual([a, b, c], variables.get_variables_to_restore())
         self.assertListEqual([a, c], tf.trainable_variables())
         self.assertListEqual([b], tf.get_collection("A"))
         self.assertListEqual([b], tf.get_collection("B"))

Example #9

File: variables_test.py Project: anbrian/models

 def testVariableRestoreWithArgScopeNested(self):
   with self.test_session():
     with scopes.arg_scope([variables.variable], restore=True):
       a = variables.variable('a', [])
       with scopes.arg_scope([variables.variable], trainable=False,
                             collections=['A', 'B']):
         b = variables.variable('b', [])
       c = variables.variable('c', [])
     self.assertListEqual([a, b, c], variables.get_variables_to_restore())
     self.assertListEqual([a, c], tf.trainable_variables())
     self.assertListEqual([b], tf.get_collection('A'))
     self.assertListEqual([b], tf.get_collection('B'))

Example #10

File: variables_test.py Project: snat1505027/WeightGrad

 def testVariableRestoreWithArgScopeNested(self):
   with self.test_session():
     with scopes.arg_scope([variables.variable], restore=True):
       a = variables.variable('a', [])
       with scopes.arg_scope([variables.variable],
                             trainable=False,
                             collections=['A', 'B']):
         b = variables.variable('b', [])
       c = variables.variable('c', [])
     self.assertListEqual([a, b, c], variables.get_variables_to_restore())
     self.assertListEqual([a, c], tf.trainable_variables())
     self.assertListEqual([b], tf.get_collection('A'))
     self.assertListEqual([b], tf.get_collection('B'))