def _capture_tensor_as_extra_input(self, tensor, name=None):
# Substitute with a placeholder.
self.extra_inputs.append(tensor)
# Hoist the new input placeholder out of any control flow context
# we're currently in.
with ops.control_dependencies(None):
ph = array_ops.placeholder(
tensor.dtype, shape=tensor.get_shape(), name=name)
# pylint: disable=protected-access
if isinstance(tensor, ops.EagerTensor):
handle_data = tensor._handle_data
if handle_data:
handle_data = handle_data.SerializeToString()
else:
handle_data = c_api.GetHandleShapeAndType(tensor.graph._c_graph,
tensor._as_tf_output())
if handle_data:
c_api.SetHandleShapeAndType(ph.graph._c_graph, ph._as_tf_output(),
compat.as_bytes(handle_data))
# pylint: enable=protected-access
self.inputs.append(ph)
self._captured[tensor.ref()] = ph
self.extra_args.append(ph)
if _is_guaranteed_const(tensor):
with ops.control_dependencies(None):
return array_ops.guarantee_const(ph)
else:
return ph
def _capture_tensor_as_extra_input(self, tensor, name=None):
# Substitute with a placeholder.
self.extra_inputs.append(tensor)
# Hoist the new input placeholder out of any control flow context
# we're currently in.
with ops.control_dependencies(None):
ph = array_ops.placeholder(
tensor.dtype, shape=tensor.get_shape(), name=name)
# pylint: disable=protected-access
if ops._USE_C_SHAPES:
handle_data = c_api.GetResourceHandleShapeAndType(tensor.graph._c_graph,
tensor._as_tf_output())
if handle_data:
c_api.SetResourceHandleShapeAndType(ph.graph._c_graph,
ph._as_tf_output(),
compat.as_bytes(handle_data))
else:
ph._handle_data = tensor._handle_data
# pylint: enable=protected-access
self.inputs.append(ph)
self._captured[tensor] = ph
self.extra_args.append(ph)
if _is_guaranteed_const(tensor):
with ops.control_dependencies(None):
return array_ops.guarantee_const(ph)
else:
return ph
def _capture_tensor_as_extra_input(self, tensor):
# Substitute with a placeholder.
self.extra_inputs.append(tensor)
# Hoist the new input placeholder out of any control flow context
# we're currently in.
with ops.control_dependencies(None):
ph = array_ops.placeholder(tensor.dtype, shape=tensor.get_shape())
# pylint: disable=protected-access
if ops._USE_C_SHAPES:
handle_data = c_api.GetResourceHandleShapeAndType(
tensor.graph._c_graph, tensor._as_tf_output())
if handle_data:
c_api.SetResourceHandleShapeAndType(
ph.graph._c_graph, ph._as_tf_output(),
compat.as_bytes(handle_data))
else:
ph._handle_data = tensor._handle_data
# pylint: enable=protected-access
self._captured[tensor] = ph
self.extra_args.append(ph)
if _is_guaranteed_const(tensor):
with ops.control_dependencies(None):
return array_ops.guarantee_const(ph)
else:
return ph
def testVariables(self):
with self.test_session() as sess:
for use_resource in [False, True]:
a = variable_scope.get_variable(
"var_{}".format(use_resource), [],
initializer=init_ops.constant_initializer(10.0),
use_resource=use_resource)
guarantee_a = array_ops.guarantee_const(a)
sess.run(variables.global_variables_initializer())
self.assertEqual(10.0, guarantee_a.eval())
def testVariables(self):
with self.test_session() as sess:
for use_resource in [False, True]:
a = variable_scope.get_variable(
"var_{}".format(use_resource), [],
initializer=init_ops.constant_initializer(10.0),
use_resource=use_resource)
guarantee_a = array_ops.guarantee_const(a)
sess.run(variables.global_variables_initializer())
self.assertEqual(10.0, guarantee_a.eval())
def testResourceRejection(self):
with self.test_session() as sess:
a = variable_scope.get_variable(
"resource_var", [],
initializer=init_ops.constant_initializer(10.0),
use_resource=True)
guarantee_a = array_ops.guarantee_const(a.handle)
sess.run(variables.global_variables_initializer())
with self.assertRaisesWithPredicateMatch(errors.InvalidArgumentError,
"cannot be a resource variable"):
guarantee_a.eval()
def testResourceRejection(self):
with self.test_session() as sess:
a = variable_scope.get_variable(
"resource_var", [],
initializer=init_ops.constant_initializer(10.0),
use_resource=True)
guarantee_a = array_ops.guarantee_const(a.handle)
sess.run(variables.global_variables_initializer())
with self.assertRaisesWithPredicateMatch(errors.InvalidArgumentError,
"cannot be a resource variable"):
guarantee_a.eval()
def guarantee_const_getter(getter, name, *args, **kwargs):
with ops.control_dependencies(None):
return array_ops.guarantee_const(getter(name, *args, **kwargs),
name=name + "/GuaranteeConst")
def testSimple(self):
with self.test_session():
a = array_ops.constant(10)
guarantee_a = array_ops.guarantee_const(a)
self.assertEqual(10, guarantee_a.eval())
def testSimple(self):
with self.test_session():
a = array_ops.constant(10)
guarantee_a = array_ops.guarantee_const(a)
self.assertEqual(10, guarantee_a.eval())
def guarantee_const_getter(getter, name, *args, **kwargs):
with ops.control_dependencies(None):
return array_ops.guarantee_const(
getter(name, *args, **kwargs), name=name + "/GuaranteeConst")
