def testObjectsCombined(self):
# Currently fine to load two checkpoint objects into one Python object
checkpoint_directory = self.get_temp_dir()
save_root = checkpointable.Checkpointable()
save_root.dep_one = checkpointable.Checkpointable()
save_root.dep_two = checkpointable.Checkpointable()
checkpointable_utils.add_variable(
save_root.dep_one, name="var1", initializer=32., dtype=dtypes.float64)
checkpointable_utils.add_variable(
save_root.dep_two, name="var2", initializer=64., dtype=dtypes.float64)
self.evaluate(checkpointable_utils.gather_initializers(save_root))
save_path = checkpointable_utils.CheckpointableSaver(save_root).save(
os.path.join(checkpoint_directory, "ckpt"))
load_root = checkpointable.Checkpointable()
load_root.dep_one = checkpointable.Checkpointable()
load_root.dep_two = load_root.dep_one
v1 = checkpointable_utils.add_variable(
load_root.dep_one, name="var1", shape=[], dtype=dtypes.float64)
v2 = checkpointable_utils.add_variable(
load_root.dep_one, name="var2", shape=[], dtype=dtypes.float64)
status = checkpointable_utils.CheckpointableSaver(load_root).restore(
save_path).assert_consumed()
status.run_restore_ops()
self.assertEqual(32., self.evaluate(v1))
self.assertEqual(64., self.evaluate(v2))
def testRestoreOnAssign(self):
checkpoint_directory = self.get_temp_dir()
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
save_graph = ops.Graph()
with save_graph.as_default(), self.test_session(save_graph):
first = checkpointable.Checkpointable()
first.var1 = variable_scope.get_variable(
name="outside_var", initializer=0.)
first.var2 = variable_scope.get_variable(
name="blah", initializer=0.)
self.evaluate(first.var1.assign(4.))
self.evaluate(first.var2.assign(8.))
save_path = checkpointable_utils.CheckpointableSaver(first).save(
checkpoint_prefix)
restore_graph = ops.Graph()
with restore_graph.as_default(), self.test_session(restore_graph):
second = checkpointable.Checkpointable()
second.var2 = variable_scope.get_variable(
name="blah", initializer=0.)
status = checkpointable_utils.CheckpointableSaver(
second).restore(save_path)
recreated_var1 = variable_scope.get_variable(
name="outside_var", initializer=0.)
status.run_restore_ops()
self.assertEqual(8., self.evaluate(second.var2))
self.evaluate(recreated_var1.assign(-2.))
self.assertEqual(-2., self.evaluate(recreated_var1))
second.var1 = recreated_var1
status.run_restore_ops()
self.assertEqual(4., self.evaluate(recreated_var1))
def testDeferredSlotRestoration(self):
checkpoint_directory = self.get_temp_dir()
root = checkpointable.Checkpointable()
root.var = checkpointable_utils.add_variable(
root, name="var", initializer=0.)
optimizer = CheckpointableAdam(0.1)
if context.in_graph_mode():
train_op = optimizer.minimize(root.var)
self.evaluate(variables.global_variables_initializer())
self.evaluate(train_op)
else:
optimizer.minimize(root.var.read_value)
self.evaluate(state_ops.assign(root.var, 12.))
no_slots_path = checkpointable_utils.save(
os.path.join(checkpoint_directory, "no_slots"), root)
root.optimizer = optimizer
self.evaluate(state_ops.assign(root.var, 13.))
self.evaluate(state_ops.assign(optimizer.get_slot(name="m", var=root.var),
14.))
slots_path = checkpointable_utils.save(
os.path.join(checkpoint_directory, "with_slots"), root)
new_root = checkpointable.Checkpointable()
# Load the slot-containing checkpoint (deferred), then immediately overwrite
# the non-slot variable (also deferred).
slot_status = checkpointable_utils.restore(
slots_path, new_root)
no_slot_status = checkpointable_utils.restore(
no_slots_path, new_root)
with self.assertRaises(AssertionError):
no_slot_status.assert_consumed()
new_root.var = checkpointable_utils.add_variable(
new_root, name="var", shape=[])
no_slot_status.assert_consumed()
self.evaluate(no_slot_status.restore_ops)
self.assertEqual(12., self.evaluate(new_root.var))
new_root.optimizer = CheckpointableAdam(0.1)
with self.assertRaisesRegexp(AssertionError, "beta1_power"):
slot_status.assert_consumed()
self.assertEqual(12., self.evaluate(new_root.var))
if context.in_eager_mode():
# Slot variables are only created with restoring initializers when
# executing eagerly.
self.assertEqual(14., self.evaluate(
new_root.optimizer.get_slot(name="m", var=new_root.var)))
else:
self.assertIs(new_root.optimizer.get_slot(name="m", var=new_root.var),
None)
if context.in_graph_mode():
train_op = new_root.optimizer.minimize(new_root.var)
# The slot variable now exists; restore() didn't create it, but we should
# now have a restore op for it.
self.evaluate(slot_status.restore_ops)
self.assertEqual(14., self.evaluate(
new_root.optimizer.get_slot(name="m", var=new_root.var)))
self.evaluate(train_op)
else:
new_root.optimizer.minimize(new_root.var.read_value)
slot_status.assert_consumed()
def testNumberedPath(self): root = checkpointable.Checkpointable() leaf = checkpointable.Checkpointable() root.leaf = leaf checkpointable_utils.add_variable(leaf, name="v", shape=[]) named_variables, _ = checkpointable_utils._serialize_object_graph(root) variable_name, = named_variables.keys() self.assertEqual(r"leaf/v/.ATTRIBUTES/VARIABLE_VALUE", variable_name)
def testLocalNameValidation(self): root = checkpointable.Checkpointable() leaf = checkpointable.Checkpointable() # Dots are escaped, which avoids conflicts with reserved names. root._track_checkpointable(leaf, name=".ATTRIBUTES") checkpointable_utils.add_variable(checkpointable=leaf, name="a", shape=[]) named_variables, _ = checkpointable_utils._serialize_object_graph(root) name, = named_variables.keys() self.assertEqual(name, "..ATTRIBUTES/a/.ATTRIBUTES/VARIABLE_VALUE")
def testNoDependency(self):
root = checkpointable.Checkpointable()
hasdep = checkpointable.Checkpointable()
root.hasdep = hasdep
nodep = checkpointable.Checkpointable()
root.nodep = checkpointable.NoDependency(nodep)
self.assertEqual(1, len(root._checkpoint_dependencies))
self.assertIs(root._checkpoint_dependencies[0].ref, root.hasdep)
self.assertIs(root.hasdep, hasdep)
self.assertIs(root.nodep, nodep)
def testMultipleAssignment(self):
root = checkpointable.Checkpointable()
root.leaf = checkpointable.Checkpointable()
root.leaf = root.leaf
duplicate_name_dep = checkpointable.Checkpointable()
with self.assertRaises(ValueError):
root._track_checkpointable(duplicate_name_dep, name="leaf")
# No error; we're overriding __setattr__, so we can't really stop people
# from doing this while maintaining backward compatibility.
root.leaf = duplicate_name_dep
root._track_checkpointable(duplicate_name_dep, name="leaf", overwrite=True)
def testNames(self):
checkpoint_directory = self.get_temp_dir()
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
x1 = resource_variable_ops.ResourceVariable(2.)
x2 = resource_variable_ops.ResourceVariable(3.)
x3 = resource_variable_ops.ResourceVariable(4.)
y = resource_variable_ops.ResourceVariable(5.)
slots = containers.UniqueNameTracker()
slots.track(x1, "x")
slots.track(x2, "x")
slots.track(x3, "x_1")
slots.track(y, "y")
self.evaluate((x1.initializer, x2.initializer, x3.initializer,
y.initializer))
save_root = checkpointable_utils.Checkpoint(slots=slots)
save_path = save_root.save(checkpoint_prefix)
restore_slots = checkpointable.Checkpointable()
restore_root = checkpointable_utils.Checkpoint(
slots=restore_slots)
status = restore_root.restore(save_path)
restore_slots.x = resource_variable_ops.ResourceVariable(0.)
restore_slots.x_1 = resource_variable_ops.ResourceVariable(0.)
restore_slots.x_1_1 = resource_variable_ops.ResourceVariable(0.)
restore_slots.y = resource_variable_ops.ResourceVariable(0.)
status.assert_consumed().run_restore_ops()
self.assertEqual(2., self.evaluate(restore_slots.x))
self.assertEqual(3., self.evaluate(restore_slots.x_1))
self.assertEqual(4., self.evaluate(restore_slots.x_1_1))
self.assertEqual(5., self.evaluate(restore_slots.y))
def _get_checkpoint_name(self, name):
root = checkpointable.Checkpointable()
checkpointable_utils.add_variable(
root, name=name, shape=[1, 2], dtype=dtypes.float64)
named_variables, _ = checkpointable_utils._serialize_object_graph(root)
checkpoint_name, = named_variables.keys()
with ops.name_scope("root/" + checkpoint_name):
pass # Make sure we can use this as an op name if we prefix it.
return checkpoint_name
def testDependencyLoop(self):
# Note: this test creates garbage during eager execution because it
# purposefully creates a reference cycle.
first = checkpointable.Checkpointable()
second = checkpointable.Checkpointable()
first.second = second
second.first = first
first.v = checkpointable_utils.add_variable(
first, "v1", initializer=[3., 1., 4.])
second.v = checkpointable_utils.add_variable(
second, "v2", initializer=[1., 1., 2., 3.])
self.evaluate(checkpointable_utils.gather_initializers(first))
checkpoint_directory = self.get_temp_dir()
save_path = checkpointable_utils.CheckpointableSaver(first).save(
os.path.join(checkpoint_directory, "ckpt"))
# Test deferred loading
first_load = checkpointable.Checkpointable()
status = checkpointable_utils.CheckpointableSaver(
first_load).restore(save_path)
second_load = checkpointable.Checkpointable()
first_load.second = second_load
second_load.first = first_load
with self.assertRaises(AssertionError):
status.assert_consumed()
first_load.v = checkpointable_utils.add_variable(
first_load, "v1", shape=[3])
second_load.v = checkpointable_utils.add_variable(
second_load, "v2", shape=[4])
status.assert_consumed()
status.run_restore_ops()
self.assertAllEqual([3., 1., 4.], self.evaluate(first_load.v))
self.assertAllEqual([1., 1., 2., 3.], self.evaluate(second_load.v))
# Test loading when variables have already been created
self.evaluate(first_load.v.assign([2., 7., 1.]))
self.assertAllEqual([2., 7., 1.], self.evaluate(first_load.v))
self.evaluate(second_load.v.assign([2., 7., 1., 8.]))
self.assertAllEqual([2., 7., 1., 8.], self.evaluate(second_load.v))
status = checkpointable_utils.CheckpointableSaver(first_load).restore(
save_path).assert_consumed()
status.run_restore_ops()
self.assertAllEqual([3., 1., 4.], self.evaluate(first_load.v))
self.assertAllEqual([1., 1., 2., 3.], self.evaluate(second_load.v))
def testOverlappingRestores(self):
checkpoint_directory = self.get_temp_dir()
save_root = checkpointable.Checkpointable()
save_root.dep = checkpointable.Checkpointable()
save_root.dep.var = checkpointable_utils.add_variable(
save_root.dep, name="var", initializer=0.)
self.evaluate(state_ops.assign(save_root.dep.var, 12.))
first_path = checkpointable_utils.save(
os.path.join(checkpoint_directory, "first"), save_root)
self.evaluate(state_ops.assign(save_root.dep.var, 13.))
second_path = checkpointable_utils.save(
os.path.join(checkpoint_directory, "second"), save_root)
first_root = checkpointable.Checkpointable()
second_root = checkpointable.Checkpointable()
first_status = checkpointable_utils.restore(
first_path, first_root)
second_status = checkpointable_utils.restore(
second_path, second_root)
load_dep = checkpointable.Checkpointable()
load_dep.var = checkpointable_utils.add_variable(
load_dep, name="var", shape=[])
first_root.dep = load_dep
first_status.assert_consumed()
self.evaluate(first_status.restore_ops)
self.assertEqual([], second_status.restore_ops)
self.assertEqual(12., self.evaluate(load_dep.var))
second_root.dep = load_dep
second_status.assert_consumed()
self.evaluate(second_status.restore_ops)
self.assertEqual(13., self.evaluate(load_dep.var))
# Try again with the order of the restore() reversed. The last restore
# determines the final value.
first_root = checkpointable.Checkpointable()
second_root = checkpointable.Checkpointable()
second_status = checkpointable_utils.restore(
second_path, second_root)
first_status = checkpointable_utils.restore(
first_path, first_root)
load_dep = checkpointable.Checkpointable()
load_dep.var = checkpointable_utils.add_variable(
load_dep, name="var", shape=[])
first_root.dep = load_dep
first_status.assert_consumed()
self.assertEqual([], second_status.restore_ops)
self.evaluate(first_status.restore_ops)
self.assertEqual(12., self.evaluate(load_dep.var))
second_root.dep = load_dep
second_status.assert_consumed()
self.evaluate(second_status.restore_ops)
self.assertEqual(12., self.evaluate(load_dep.var))
def testShapeDtype(self):
root = checkpointable.Checkpointable()
v1 = checkpointable_utils.add_variable(
root, name="v1", initializer=3., dtype=dtypes.float64)
self.assertEqual(dtypes.float64, v1.dtype)
v2 = checkpointable_utils.add_variable(
root,
name="v2",
shape=[3],
initializer=init_ops.ones_initializer,
dtype=dtypes.float64)
self.assertEqual(dtypes.float64, v2.dtype)
self.assertAllEqual([1., 1., 1.], self.evaluate(v2))
def testAmbiguousLoad(self):
# Not OK to split one checkpoint object into two
checkpoint_directory = self.get_temp_dir()
save_root = checkpointable.Checkpointable()
save_root.dep_one = checkpointable.Checkpointable()
save_root.dep_two = checkpointable.Checkpointable()
dep_three = checkpointable.Checkpointable()
save_root.dep_one.dep_three = dep_three
save_root.dep_two.dep_three = dep_three
checkpointable_utils.add_variable(dep_three, name="var", initializer=0.)
self.evaluate(checkpointable_utils.gather_initializers(save_root))
save_path = checkpointable_utils.CheckpointableSaver(save_root).save(
os.path.join(checkpoint_directory, "ckpt"))
load_root = checkpointable.Checkpointable()
checkpointable_utils.CheckpointableSaver(load_root).restore(save_path)
load_root.dep_one = checkpointable.Checkpointable()
load_root.dep_two = checkpointable.Checkpointable()
load_root.dep_one.dep_three = checkpointable.Checkpointable()
with self.assertRaisesRegexp(AssertionError,
"resolved to different objects"):
load_root.dep_two.dep_three = checkpointable.Checkpointable()
def testManySavesGraph(self):
"""Saves after the first should not modify the graph."""
with context.graph_mode():
graph = ops.Graph()
with graph.as_default(), self.test_session(graph):
checkpoint_directory = self.get_temp_dir()
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
obj = checkpointable.Checkpointable()
obj.var = variable_scope.get_variable(name="v", initializer=0.)
obj.opt = adam.AdamOptimizer(0.1)
obj.opt.minimize(obj.var.read_value())
self.evaluate(checkpointable_utils.gather_initializers(obj))
saver = checkpointable_utils.CheckpointableSaver(obj)
saver.save(checkpoint_prefix)
before_ops = graph.get_operations()
saver.save(checkpoint_prefix)
self.assertEqual(before_ops, graph.get_operations())
def testManyRestoresGraph(self):
"""Restores after the first should not modify the graph."""
with context.graph_mode():
graph = ops.Graph()
with graph.as_default(), self.test_session(graph):
checkpoint_directory = self.get_temp_dir()
checkpoint_prefix = os.path.join(checkpoint_directory, "ckpt")
obj = checkpointable.Checkpointable()
obj.var = variable_scope.get_variable(name="v", initializer=0.)
obj.opt = CheckpointableAdam(0.1)
obj.opt.minimize(obj.var.read_value())
self.evaluate(variables.global_variables_initializer())
save_path = checkpointable_utils.save(
checkpoint_prefix, root_checkpointable=obj)
checkpointable_utils.restore(
save_path, root_checkpointable=obj)
before_ops = graph.get_operations()
checkpointable_utils.restore(
save_path, root_checkpointable=obj)
self.assertEqual(before_ops, graph.get_operations())
def testDeferredSlotRestoration(self):
checkpoint_directory = self.get_temp_dir()
root = checkpointable.Checkpointable()
root.var = checkpointable_utils.add_variable(root,
name="var",
initializer=0.)
optimizer = adam.AdamOptimizer(0.1)
if context.executing_eagerly():
optimizer.minimize(root.var.read_value)
else:
train_op = optimizer.minimize(root.var)
# Note that `optimizer` has not been added as a dependency of
# `root`. Create a one-off grouping so that slot variables for `root.var`
# get initialized too.
self.evaluate(
checkpointable_utils.gather_initializers(
checkpointable_utils.Checkpoint(root=root,
optimizer=optimizer)))
self.evaluate(train_op)
self.evaluate(state_ops.assign(root.var, 12.))
no_slots_path = checkpointable_utils.CheckpointableSaver(root).save(
os.path.join(checkpoint_directory, "no_slots"))
root.optimizer = optimizer
self.evaluate(state_ops.assign(root.var, 13.))
self.evaluate(
state_ops.assign(optimizer.get_slot(name="m", var=root.var), 14.))
slots_path = checkpointable_utils.CheckpointableSaver(root).save(
os.path.join(checkpoint_directory, "with_slots"))
new_root = checkpointable.Checkpointable()
# Load the slot-containing checkpoint (deferred), then immediately overwrite
# the non-slot variable (also deferred).
slot_status = checkpointable_utils.CheckpointableSaver(
new_root).restore(slots_path)
no_slot_status = checkpointable_utils.CheckpointableSaver(
new_root).restore(no_slots_path)
with self.assertRaises(AssertionError):
no_slot_status.assert_consumed()
new_root.var = checkpointable_utils.add_variable(new_root,
name="var",
shape=[])
no_slot_status.assert_consumed()
no_slot_status.run_restore_ops()
self.assertEqual(12., self.evaluate(new_root.var))
new_root.optimizer = adam.AdamOptimizer(0.1)
with self.assertRaisesRegexp(AssertionError, "beta1_power"):
slot_status.assert_consumed()
self.assertEqual(12., self.evaluate(new_root.var))
if context.executing_eagerly():
# Slot variables are only created with restoring initializers when
# executing eagerly.
self.assertEqual(
14.,
self.evaluate(
new_root.optimizer.get_slot(name="m", var=new_root.var)))
else:
self.assertIs(
new_root.optimizer.get_slot(name="m", var=new_root.var), None)
if context.executing_eagerly():
new_root.optimizer.minimize(new_root.var.read_value)
else:
train_op = new_root.optimizer.minimize(new_root.var)
# The slot variable now exists; restore() didn't create it, but we should
# now have a restore op for it.
slot_status.run_restore_ops()
self.assertEqual(
14.,
self.evaluate(
new_root.optimizer.get_slot(name="m", var=new_root.var)))
self.evaluate(train_op)
slot_status.assert_consumed()
