tensorflow/python/training/session_manager_test.py
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for SessionManager."""
import os
from tensorflow.python.checkpoint import checkpoint_management
from tensorflow.python.client import session as session_lib
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.framework import errors_impl
from tensorflow.python.framework import ops
from tensorflow.python.framework import test_util
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import resource_variables_toggle
from tensorflow.python.ops import variable_v1
from tensorflow.python.ops import variables
from tensorflow.python.ops import while_loop
from tensorflow.python.platform import gfile
from tensorflow.python.platform import test
from tensorflow.python.training import saver as saver_lib
from tensorflow.python.training import server_lib
from tensorflow.python.training import session_manager
class SessionManagerTest(test.TestCase):
@classmethod
def setUpClass(cls):
super(SessionManagerTest, cls).setUpClass()
resource_variables_toggle.disable_resource_variables()
def testPrepareSessionSucceeds(self):
with ops.Graph().as_default():
v = variable_v1.VariableV1([1.0, 2.0, 3.0], name="v")
sm = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
sess = sm.prepare_session(
"", init_op=variables.global_variables_initializer())
self.assertAllClose([1.0, 2.0, 3.0], sess.run(v))
def testPrepareSessionSucceedsWithInitFeedDict(self):
with ops.Graph().as_default():
p = array_ops.placeholder(dtypes.float32, shape=(3,))
v = variable_v1.VariableV1(p, name="v")
sm = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
sess = sm.prepare_session(
"",
init_op=variables.global_variables_initializer(),
init_feed_dict={p: [1.0, 2.0, 3.0]})
self.assertAllClose([1.0, 2.0, 3.0], sess.run(v))
def testPrepareSessionSucceedsWithInitFn(self):
with ops.Graph().as_default():
v = variable_v1.VariableV1([125], name="v")
sm = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
sess = sm.prepare_session(
"", init_fn=lambda sess: sess.run(v.initializer))
self.assertAllClose([125], sess.run(v))
def testPrepareSessionSucceedsWithLocalInitFeedDict(self):
with ops.Graph().as_default():
p = array_ops.placeholder(dtypes.float32, shape=(3,))
v = variable_v1.VariableV1(
p, name="v", collections=[ops.GraphKeys.LOCAL_VARIABLES])
sm = session_manager.SessionManager(
local_init_op=v.initializer,
local_init_feed_dict={p: [1.0, 2.0, 3.0]},
ready_op=variables.report_uninitialized_variables())
sess = sm.prepare_session("")
self.assertAllClose([1.0, 2.0, 3.0], sess.run(v))
def testPrepareSessionFails(self):
checkpoint_dir = os.path.join(self.get_temp_dir(), "prepare_session")
checkpoint_dir2 = os.path.join(self.get_temp_dir(), "prepare_session2")
try:
gfile.DeleteRecursively(checkpoint_dir)
gfile.DeleteRecursively(checkpoint_dir2)
except errors.OpError:
pass # Ignore
gfile.MakeDirs(checkpoint_dir)
with ops.Graph().as_default():
v = variable_v1.VariableV1([1.0, 2.0, 3.0], name="v")
sm = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
saver = saver_lib.Saver({"v": v})
sess = sm.prepare_session(
"",
init_op=variables.global_variables_initializer(),
saver=saver,
checkpoint_dir=checkpoint_dir)
self.assertAllClose([1.0, 2.0, 3.0], sess.run(v))
checkpoint_filename = os.path.join(checkpoint_dir,
"prepare_session_checkpoint")
saver.save(sess, checkpoint_filename)
# Create a new Graph and SessionManager and recover.
with ops.Graph().as_default():
# Renames the checkpoint directory.
os.rename(checkpoint_dir, checkpoint_dir2)
gfile.MakeDirs(checkpoint_dir)
v = variable_v1.VariableV1([6.0, 7.0, 8.0], name="v")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
saver = saver_lib.Saver({"v": v})
# This should fail as there's no checkpoint within 2 seconds.
with self.assertRaisesRegex(
RuntimeError, "no init_op or init_fn or local_init_op was given"):
sess = sm.prepare_session(
"",
init_op=None,
saver=saver,
checkpoint_dir=checkpoint_dir,
wait_for_checkpoint=True,
max_wait_secs=2)
# Rename the checkpoint directory back.
gfile.DeleteRecursively(checkpoint_dir)
os.rename(checkpoint_dir2, checkpoint_dir)
# This should succeed as there's checkpoint.
sess = sm.prepare_session(
"",
init_op=None,
saver=saver,
checkpoint_dir=checkpoint_dir,
wait_for_checkpoint=True,
max_wait_secs=2)
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
def _test_recovered_variable(self,
checkpoint_dir=None,
checkpoint_filename_with_path=None):
# Create a new Graph and SessionManager and recover from a checkpoint.
with ops.Graph().as_default():
v = variable_v1.VariableV1(2, name="v")
with session_lib.Session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
sm2 = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
saver = saver_lib.Saver({"v": v})
sess, initialized = sm2.recover_session(
"",
saver=saver,
checkpoint_dir=checkpoint_dir,
checkpoint_filename_with_path=checkpoint_filename_with_path)
self.assertTrue(initialized)
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
self.assertEqual(1, sess.run(v))
def testRecoverSession(self):
# Create a checkpoint.
checkpoint_dir = os.path.join(self.get_temp_dir(), "recover_session")
try:
gfile.DeleteRecursively(checkpoint_dir)
except errors.OpError:
pass # Ignore
gfile.MakeDirs(checkpoint_dir)
with ops.Graph().as_default():
v = variable_v1.VariableV1(1, name="v")
sm = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
saver = saver_lib.Saver({"v": v})
sess, initialized = sm.recover_session(
"", saver=saver, checkpoint_dir=checkpoint_dir)
self.assertFalse(initialized)
sess.run(v.initializer)
self.assertEqual(1, sess.run(v))
saver.save(sess, os.path.join(checkpoint_dir,
"recover_session_checkpoint"))
self._test_recovered_variable(checkpoint_dir=checkpoint_dir)
self._test_recovered_variable(
checkpoint_filename_with_path=checkpoint_management.latest_checkpoint(
checkpoint_dir))
# Cannot set both checkpoint_dir and checkpoint_filename_with_path.
with self.assertRaises(ValueError):
self._test_recovered_variable(
checkpoint_dir=checkpoint_dir,
checkpoint_filename_with_path=checkpoint_management.latest_checkpoint(
checkpoint_dir))
def testWaitForSessionReturnsNoneAfterTimeout(self):
with ops.Graph().as_default():
variable_v1.VariableV1(1, name="v")
sm = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables(),
recovery_wait_secs=1)
# Set max_wait_secs to allow us to try a few times.
with self.assertRaises(errors.DeadlineExceededError):
sm.wait_for_session(master="", max_wait_secs=3)
def testInitWithNoneLocalInitOpError(self):
# Creating a SessionManager with a None local_init_op but
# non-None ready_for_local_init_op raises ValueError
with self.assertRaisesRegex(
ValueError, "If you pass a ready_for_local_init_op "
"you must also pass a local_init_op "):
session_manager.SessionManager(
ready_for_local_init_op=variables.report_uninitialized_variables(
variables.global_variables()),
local_init_op=None)
def testRecoverSessionWithReadyForLocalInitOp(self):
# Create a checkpoint.
checkpoint_dir = os.path.join(self.get_temp_dir(),
"recover_session_ready_for_local_init")
try:
gfile.DeleteRecursively(checkpoint_dir)
except errors.OpError:
pass # Ignore
gfile.MakeDirs(checkpoint_dir)
with ops.Graph().as_default():
v = variable_v1.VariableV1(1, name="v")
sm = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
saver = saver_lib.Saver({"v": v})
sess, initialized = sm.recover_session(
"", saver=saver, checkpoint_dir=checkpoint_dir)
self.assertFalse(initialized)
sess.run(v.initializer)
self.assertEqual(1, sess.run(v))
saver.save(sess, os.path.join(checkpoint_dir,
"recover_session_checkpoint"))
# Create a new Graph and SessionManager and recover.
with ops.Graph().as_default():
v = variable_v1.VariableV1(2, name="v")
w = variable_v1.VariableV1(
v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
self.assertEqual(False, variable_v1.is_variable_initialized(w).eval())
sm2 = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables(),
ready_for_local_init_op=variables.report_uninitialized_variables(
variables.global_variables()),
local_init_op=w.initializer)
saver = saver_lib.Saver({"v": v})
sess, initialized = sm2.recover_session(
"", saver=saver, checkpoint_dir=checkpoint_dir)
self.assertTrue(initialized)
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("w:0")).eval(session=sess))
self.assertEqual(1, sess.run(v))
self.assertEqual(1, sess.run(w))
def testRecoverSessionWithReadyForLocalInitOpFailsToReadyLocal(self):
# We use ready_for_local_init_op=report_uninitialized_variables(),
# which causes recover_session to not run local_init_op, and to return
# initialized=False
# Create a checkpoint.
checkpoint_dir = os.path.join(
self.get_temp_dir(),
"recover_session_ready_for_local_init_fails_to_ready_local")
try:
gfile.DeleteRecursively(checkpoint_dir)
except errors.OpError:
pass # Ignore
gfile.MakeDirs(checkpoint_dir)
with ops.Graph().as_default():
v = variable_v1.VariableV1(1, name="v")
sm = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
saver = saver_lib.Saver({"v": v})
sess, initialized = sm.recover_session(
"", saver=saver, checkpoint_dir=checkpoint_dir)
self.assertFalse(initialized)
sess.run(v.initializer)
self.assertEqual(1, sess.run(v))
saver.save(sess, os.path.join(checkpoint_dir,
"recover_session_checkpoint"))
# Create a new Graph and SessionManager and recover.
with ops.Graph().as_default():
v = variable_v1.VariableV1(2, name="v")
w = variable_v1.VariableV1(
v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
self.assertEqual(False, variable_v1.is_variable_initialized(w).eval())
sm2 = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables(),
ready_for_local_init_op=variables.report_uninitialized_variables(),
local_init_op=w.initializer)
saver = saver_lib.Saver({"v": v})
sess, initialized = sm2.recover_session(
"", saver=saver, checkpoint_dir=checkpoint_dir)
self.assertFalse(initialized)
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
self.assertEqual(
False,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("w:0")).eval(session=sess))
self.assertEqual(1, sess.run(v))
def testRecoverSessionNoChkptStillRunsLocalInitOp(self):
# This test checks for backwards compatibility.
# In particular, we continue to ensure that recover_session will execute
# local_init_op exactly once, regardless of whether the session was
# successfully recovered.
with ops.Graph().as_default():
w = variable_v1.VariableV1(
1,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(w).eval())
sm2 = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables(),
ready_for_local_init_op=None,
local_init_op=w.initializer)
# Try to recover session from None
sess, initialized = sm2.recover_session(
"", saver=None, checkpoint_dir=None)
# Succeeds because recover_session still run local_init_op
self.assertFalse(initialized)
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("w:0")).eval(session=sess))
self.assertEqual(1, sess.run(w))
def testRecoverSessionFailsStillRunsLocalInitOp(self):
# Create a checkpoint.
checkpoint_dir = os.path.join(
self.get_temp_dir(),
"recover_session_ready_for_local_init_fails_stil_run")
try:
gfile.DeleteRecursively(checkpoint_dir)
except errors.OpError:
pass # Ignore
gfile.MakeDirs(checkpoint_dir)
# Create a new Graph and SessionManager and recover.
with ops.Graph().as_default():
v = variable_v1.VariableV1(2, name="v")
w = variable_v1.VariableV1(
1,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
self.assertEqual(False, variable_v1.is_variable_initialized(w).eval())
sm2 = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables(),
ready_for_local_init_op=None,
local_init_op=w.initializer)
saver = saver_lib.Saver({"v": v})
sess, initialized = sm2.recover_session(
"",
saver=saver,
checkpoint_dir=checkpoint_dir,
wait_for_checkpoint=False)
self.assertFalse(initialized)
self.assertEqual(
False,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("w:0")).eval(session=sess))
self.assertEqual(1, sess.run(w))
def testWaitForSessionLocalInit(self):
server = server_lib.Server.create_local_server()
with ops.Graph().as_default() as graph:
v = variable_v1.VariableV1(1, name="v")
w = variable_v1.VariableV1(
v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
sm = session_manager.SessionManager(
graph=graph,
ready_op=variables.report_uninitialized_variables(),
ready_for_local_init_op=variables.report_uninitialized_variables(
variables.global_variables()),
local_init_op=w.initializer)
# Initialize v but not w
s = session_lib.Session(server.target, graph=graph)
s.run(v.initializer)
sess = sm.wait_for_session(server.target, max_wait_secs=3)
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("w:0")).eval(session=sess))
self.assertEqual(1, sess.run(v))
self.assertEqual(1, sess.run(w))
def testWaitForSessionWithReadyForLocalInitOpFailsToReadyLocal(self):
with ops.Graph().as_default() as graph:
v = variable_v1.VariableV1(1, name="v")
w = variable_v1.VariableV1(
v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
sm = session_manager.SessionManager(
graph=graph,
ready_op=variables.report_uninitialized_variables(),
ready_for_local_init_op=variables.report_uninitialized_variables(),
local_init_op=w.initializer)
with self.assertRaises(errors_impl.DeadlineExceededError):
# Time-out because w fails to be initialized,
# because of overly restrictive ready_for_local_init_op
sm.wait_for_session("", max_wait_secs=3)
@test_util.run_v1_only("Requires TF V1 variable behavior.")
def testWaitForSessionInsufficientReadyForLocalInitCheck(self):
with ops.Graph().as_default() as graph:
v = variable_v1.VariableV1(1, name="v")
w = variable_v1.VariableV1(
v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
sm = session_manager.SessionManager(
graph=graph,
ready_op=variables.report_uninitialized_variables(),
ready_for_local_init_op=None,
local_init_op=w.initializer)
with self.assertRaisesRegex(errors_impl.DeadlineExceededError,
"Session was not ready after waiting.*"):
sm.wait_for_session("", max_wait_secs=3)
def testPrepareSessionWithReadyForLocalInitOp(self):
with ops.Graph().as_default():
v = variable_v1.VariableV1(1, name="v")
w = variable_v1.VariableV1(
v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
x = variable_v1.VariableV1(
3 * v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="x")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
self.assertEqual(False, variable_v1.is_variable_initialized(w).eval())
self.assertEqual(False, variable_v1.is_variable_initialized(x).eval())
sm2 = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables(),
ready_for_local_init_op=variables.report_uninitialized_variables(
variables.global_variables()),
local_init_op=[w.initializer, x.initializer])
sess = sm2.prepare_session("", init_op=v.initializer)
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("w:0")).eval(session=sess))
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("x:0")).eval(session=sess))
self.assertEqual(1, sess.run(v))
self.assertEqual(1, sess.run(w))
self.assertEqual(3, sess.run(x))
@test_util.run_v1_only("Requires TF V1 variable behavior.")
def testPrepareSessionWithPartialInitOp(self):
with ops.Graph().as_default():
v = variable_v1.VariableV1(1, name="v")
w = variable_v1.VariableV1(
v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
x = variable_v1.VariableV1(
3 * v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="x")
# TODO(b/70206927): Use ResourceVariables once they are handled properly.
v_res = variable_v1.VariableV1(1, name="v_res")
w_res = variable_v1.VariableV1(
v_res,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w_res")
x_res = variable_v1.VariableV1(
3 * v_res,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="x_res")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
self.assertEqual(False, variable_v1.is_variable_initialized(w).eval())
self.assertEqual(False, variable_v1.is_variable_initialized(x).eval())
self.assertEqual(False,
variable_v1.is_variable_initialized(v_res).eval())
self.assertEqual(False,
variable_v1.is_variable_initialized(w_res).eval())
self.assertEqual(False,
variable_v1.is_variable_initialized(x_res).eval())
sm2 = session_manager.SessionManager(local_init_op=[
w.initializer, x.initializer, w_res.initializer, x_res.initializer
])
sess = sm2.prepare_session("", init_op=None)
self.assertEqual(
False,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("w:0")).eval(session=sess))
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("x:0")).eval(session=sess))
self.assertEqual(1, sess.run(w))
self.assertEqual(3, sess.run(x))
self.assertEqual(
False,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v_res:0")).eval(session=sess))
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("w_res:0")).eval(session=sess))
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("x_res:0")).eval(session=sess))
self.assertEqual(1, sess.run(w_res))
self.assertEqual(3, sess.run(x_res))
def testPrepareSessionWithCyclicInitializer(self):
# Regression test. Previously Variable._build_initializer_expr would enter
# into an infinite recursion when the variable's initial_value involved
# cyclic dependencies.
with ops.Graph().as_default():
i = while_loop.while_loop(lambda i: i < 1, lambda i: i + 1, [0])
v = variable_v1.VariableV1(array_ops.identity(i), name="v")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
sm = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
sess = sm.prepare_session("", init_op=v.initializer)
self.assertEqual(1, sess.run(v))
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
def testPrepareSessionDidNotInitLocalVariable(self):
with ops.Graph().as_default():
v = variable_v1.VariableV1(1, name="v")
w = variable_v1.VariableV1(
v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
self.assertEqual(False, variable_v1.is_variable_initialized(w).eval())
sm2 = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
with self.assertRaisesRegex(RuntimeError,
"Init operations did not make model ready.*"):
sm2.prepare_session("", init_op=v.initializer)
def testPrepareSessionDidNotInitLocalVariableList(self):
with ops.Graph().as_default():
v = variable_v1.VariableV1(1, name="v")
w = variable_v1.VariableV1(
v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
self.assertEqual(False, variable_v1.is_variable_initialized(w).eval())
sm2 = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables())
with self.assertRaisesRegex(RuntimeError,
"Init operations did not make model ready"):
sm2.prepare_session("", init_op=[v.initializer])
def testPrepareSessionWithReadyNotReadyForLocal(self):
with ops.Graph().as_default():
v = variable_v1.VariableV1(1, name="v")
w = variable_v1.VariableV1(
v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
self.assertEqual(False, variable_v1.is_variable_initialized(w).eval())
sm2 = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables(),
ready_for_local_init_op=variables.report_uninitialized_variables(
variables.global_variables()),
local_init_op=w.initializer)
with self.assertRaisesRegex(
RuntimeError,
"Init operations did not make model ready for local_init"):
sm2.prepare_session("", init_op=None)
@test_util.run_v1_only("Requires TF V1 variable behavior.")
def testPrepareSessionWithInsufficientReadyForLocalInitCheck(self):
with ops.Graph().as_default():
v = variable_v1.VariableV1(1, name="v")
w = variable_v1.VariableV1(
v,
trainable=False,
collections=[ops.GraphKeys.LOCAL_VARIABLES],
name="w")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
self.assertEqual(False, variable_v1.is_variable_initialized(w).eval())
sm2 = session_manager.SessionManager(
ready_op=variables.report_uninitialized_variables(),
ready_for_local_init_op=None,
local_init_op=w.initializer)
with self.assertRaisesRegex(RuntimeError,
"Init operations did not make model ready.*"):
sm2.prepare_session("", init_op=None)
class ObsoleteSessionManagerTest(test.TestCase):
@classmethod
def setUpClass(cls):
super(ObsoleteSessionManagerTest, cls).setUpClass()
resource_variables_toggle.disable_resource_variables()
def testPrepareSessionSucceeds(self):
with ops.Graph().as_default():
v = variable_v1.VariableV1([1.0, 2.0, 3.0], name="v")
sm = session_manager.SessionManager(
ready_op=variables.assert_variables_initialized())
sess = sm.prepare_session(
"", init_op=variables.global_variables_initializer())
self.assertAllClose([1.0, 2.0, 3.0], sess.run(v))
def testPrepareSessionSucceedsWithInitFeedDict(self):
with ops.Graph().as_default():
p = array_ops.placeholder(dtypes.float32, shape=(3,))
v = variable_v1.VariableV1(p, name="v")
sm = session_manager.SessionManager(
ready_op=variables.assert_variables_initialized())
sess = sm.prepare_session(
"",
init_op=variables.global_variables_initializer(),
init_feed_dict={p: [1.0, 2.0, 3.0]})
self.assertAllClose([1.0, 2.0, 3.0], sess.run(v))
def testPrepareSessionSucceedsWithInitFn(self):
with ops.Graph().as_default():
v = variable_v1.VariableV1([125], name="v")
sm = session_manager.SessionManager(
ready_op=variables.assert_variables_initialized())
sess = sm.prepare_session(
"", init_fn=lambda sess: sess.run(v.initializer))
self.assertAllClose([125], sess.run(v))
def testPrepareSessionFails(self):
checkpoint_dir = os.path.join(self.get_temp_dir(), "prepare_session")
checkpoint_dir2 = os.path.join(self.get_temp_dir(), "prepare_session2")
try:
gfile.DeleteRecursively(checkpoint_dir)
gfile.DeleteRecursively(checkpoint_dir2)
except errors.OpError:
pass # Ignore
gfile.MakeDirs(checkpoint_dir)
with ops.Graph().as_default():
v = variable_v1.VariableV1([1.0, 2.0, 3.0], name="v")
sm = session_manager.SessionManager(
ready_op=variables.assert_variables_initialized())
saver = saver_lib.Saver({"v": v})
sess = sm.prepare_session(
"",
init_op=variables.global_variables_initializer(),
saver=saver,
checkpoint_dir=checkpoint_dir)
self.assertAllClose([1.0, 2.0, 3.0], sess.run(v))
checkpoint_filename = os.path.join(checkpoint_dir,
"prepare_session_checkpoint")
saver.save(sess, checkpoint_filename)
# Create a new Graph and SessionManager and recover.
with ops.Graph().as_default():
# Renames the checkpoint directory.
os.rename(checkpoint_dir, checkpoint_dir2)
gfile.MakeDirs(checkpoint_dir)
v = variable_v1.VariableV1([6.0, 7.0, 8.0], name="v")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
session_manager.SessionManager(
ready_op=variables.assert_variables_initialized())
saver = saver_lib.Saver({"v": v})
# This should fail as there's no checkpoint within 2 seconds.
with self.assertRaisesRegex(
RuntimeError, "no init_op or init_fn or local_init_op was given"):
sess = sm.prepare_session(
"",
init_op=None,
saver=saver,
checkpoint_dir=checkpoint_dir,
wait_for_checkpoint=True,
max_wait_secs=2)
# Rename the checkpoint directory back.
gfile.DeleteRecursively(checkpoint_dir)
os.rename(checkpoint_dir2, checkpoint_dir)
# This should succeed as there's checkpoint.
sess = sm.prepare_session(
"",
init_op=None,
saver=saver,
checkpoint_dir=checkpoint_dir,
wait_for_checkpoint=True,
max_wait_secs=2)
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
def testRecoverSession(self):
# Create a checkpoint.
checkpoint_dir = os.path.join(self.get_temp_dir(), "recover_session")
try:
gfile.DeleteRecursively(checkpoint_dir)
except errors.OpError:
pass # Ignore
gfile.MakeDirs(checkpoint_dir)
with ops.Graph().as_default():
v = variable_v1.VariableV1(1, name="v")
sm = session_manager.SessionManager(
ready_op=variables.assert_variables_initialized())
saver = saver_lib.Saver({"v": v})
sess, initialized = sm.recover_session(
"", saver=saver, checkpoint_dir=checkpoint_dir)
self.assertFalse(initialized)
sess.run(v.initializer)
self.assertEqual(1, sess.run(v))
saver.save(sess, os.path.join(checkpoint_dir,
"recover_session_checkpoint"))
# Create a new Graph and SessionManager and recover.
with ops.Graph().as_default():
v = variable_v1.VariableV1(2, name="v")
with self.cached_session():
self.assertEqual(False, variable_v1.is_variable_initialized(v).eval())
sm2 = session_manager.SessionManager(
ready_op=variables.assert_variables_initialized())
saver = saver_lib.Saver({"v": v})
sess, initialized = sm2.recover_session(
"", saver=saver, checkpoint_dir=checkpoint_dir)
self.assertTrue(initialized)
self.assertEqual(
True,
variable_v1.is_variable_initialized(
sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
self.assertEqual(1, sess.run(v))
def testWaitForSessionReturnsNoneAfterTimeout(self):
with ops.Graph().as_default():
variable_v1.VariableV1(1, name="v")
sm = session_manager.SessionManager(
ready_op=variables.assert_variables_initialized(),
recovery_wait_secs=1)
# Set max_wait_secs to allow us to try a few times.
with self.assertRaises(errors.DeadlineExceededError):
sm.wait_for_session(master="", max_wait_secs=3)
if __name__ == "__main__":
test.main()