def testScopeStringFromParamsUnsupportedType(self):
with tf.Graph().as_default():
x = tf.constant(1, )
y = tf.constant(2, )
unsupported = 1.2 # Floats are not supported.
with self.assertRaises(ValueError):
ff.scope_string_from_params([[1, 2, 3], 'foo', True, 4, (x, y),
unsupported])
def testScopeStringFromParamsMultipleTypes(self):
with tf.Graph().as_default():
x = tf.constant(1, )
y = tf.constant(2, )
scope_string = ff.scope_string_from_params([[1, 2, 3], 'foo', True,
4, (x, y)])
self.assertEqual('1-2-3_foo_True_4_Const__Const_1', scope_string)
def testScopeStringFromParamsMultipleTensors(self):
with tf.Graph().as_default():
x = tf.constant(1, )
y = tf.constant(2, )
scope_string = ff.scope_string_from_params((x, y))
self.assertEqual('Const_Const_1', scope_string)
def testScopeStringFromParamsSingleTensor(self):
with tf.Graph().as_default():
g = self._make_tensor()
scope_string = ff.scope_string_from_params(g)
self.assertEqual('gradients_MatMul_grad_MatMul_1', scope_string)