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# Copyright 2016 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 session_bundle.py."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import shutil
import numpy as np
from tensorflow.contrib.session_bundle import constants
from tensorflow.contrib.session_bundle import manifest_pb2
from tensorflow.contrib.session_bundle import session_bundle
from tensorflow.core.example.example_pb2 import Example
from tensorflow.core.protobuf import config_pb2
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import graph_util
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import variables
import tensorflow.python.ops.parsing_ops # pylint: disable=unused-import
from tensorflow.python.platform import test
from tensorflow.python.training import saver
from tensorflow.python.util import compat
SAVED_MODEL_PATH = (
"python/saved_model/example/saved_model_half_plus_two/00000123")
SESSION_BUNDLE_PATH = "contrib/session_bundle/testdata/half_plus_two/00000123"
def _make_serialized_example(x):
example = Example()
example.features.feature["x"].float_list.value.append(x)
return example.SerializeToString()
class SessionBundleLoadTest(test.TestCase):
def _checkRegressionSignature(self, signatures, sess):
default_signature = signatures.default_signature
input_name = default_signature.regression_signature.input.tensor_name
output_name = default_signature.regression_signature.output.tensor_name
tf_example = [_make_serialized_example(x) for x in [0, 1, 2, 3]]
y = sess.run([output_name], {input_name: tf_example})
# The operation is y = 0.5 * x + 2
self.assertEqual(y[0][0], 2)
self.assertEqual(y[0][1], 2.5)
self.assertEqual(y[0][2], 3)
self.assertEqual(y[0][3], 3.5)
def _checkNamedSignatures(self, signatures, sess):
named_signatures = signatures.named_signatures
input_name = (named_signatures["inputs"].generic_signature.map["x"]
.tensor_name)
output_name = (named_signatures["outputs"].generic_signature.map["y"]
.tensor_name)
y = sess.run([output_name], {input_name: np.array([[0], [1], [2], [3]])})
# The operation is y = 0.5 * x + 2
self.assertEqual(y[0][0], 2)
self.assertEqual(y[0][1], 2.5)
self.assertEqual(y[0][2], 3)
self.assertEqual(y[0][3], 3.5)
def testMaybeSessionBundleDir(self):
base_path = test.test_src_dir_path(SESSION_BUNDLE_PATH)
self.assertTrue(session_bundle.maybe_session_bundle_dir(base_path))
base_path = test.test_src_dir_path(SAVED_MODEL_PATH)
self.assertFalse(session_bundle.maybe_session_bundle_dir(base_path))
base_path = "complete_garbage"
self.assertFalse(session_bundle.maybe_session_bundle_dir(base_path))
def testBasic(self):
base_path = test.test_src_dir_path(SESSION_BUNDLE_PATH)
ops.reset_default_graph()
sess, meta_graph_def = session_bundle.load_session_bundle_from_path(
base_path,
target="",
config=config_pb2.ConfigProto(device_count={"CPU": 2}))
self.assertTrue(sess)
asset_path = os.path.join(base_path, constants.ASSETS_DIRECTORY)
with sess.as_default():
path1, path2 = sess.run(["filename1:0", "filename2:0"])
self.assertEqual(
compat.as_bytes(os.path.join(asset_path, "hello1.txt")), path1)
self.assertEqual(
compat.as_bytes(os.path.join(asset_path, "hello2.txt")), path2)
collection_def = meta_graph_def.collection_def
signatures_any = collection_def[constants.SIGNATURES_KEY].any_list.value
self.assertEquals(len(signatures_any), 1)
signatures = manifest_pb2.Signatures()
signatures_any[0].Unpack(signatures)
self._checkRegressionSignature(signatures, sess)
self._checkNamedSignatures(signatures, sess)
def testBadPath(self):
base_path = test.test_src_dir_path("/no/such/a/dir")
ops.reset_default_graph()
with self.assertRaises(RuntimeError) as cm:
_, _ = session_bundle.load_session_bundle_from_path(
base_path,
target="local",
config=config_pb2.ConfigProto(device_count={"CPU": 2}))
self.assertTrue("Expected meta graph file missing" in str(cm.exception))
def testVarCheckpointV2(self):
base_path = test.test_src_dir_path(
"contrib/session_bundle/testdata/half_plus_two_ckpt_v2/00000123")
ops.reset_default_graph()
sess, meta_graph_def = session_bundle.load_session_bundle_from_path(
base_path,
target="",
config=config_pb2.ConfigProto(device_count={"CPU": 2}))
self.assertTrue(sess)
asset_path = os.path.join(base_path, constants.ASSETS_DIRECTORY)
with sess.as_default():
path1, path2 = sess.run(["filename1:0", "filename2:0"])
self.assertEqual(
compat.as_bytes(os.path.join(asset_path, "hello1.txt")), path1)
self.assertEqual(
compat.as_bytes(os.path.join(asset_path, "hello2.txt")), path2)
collection_def = meta_graph_def.collection_def
signatures_any = collection_def[constants.SIGNATURES_KEY].any_list.value
self.assertEquals(len(signatures_any), 1)
signatures = manifest_pb2.Signatures()
signatures_any[0].Unpack(signatures)
self._checkRegressionSignature(signatures, sess)
self._checkNamedSignatures(signatures, sess)
class SessionBundleLoadNoVarsTest(test.TestCase):
"""Test the case where there are no variables in the graph."""
def setUp(self):
self.base_path = os.path.join(test.get_temp_dir(), "no_vars")
if not os.path.exists(self.base_path):
os.mkdir(self.base_path)
# Create a simple graph with a variable, then convert variables to
# constants and export the graph.
with ops.Graph().as_default() as g:
x = array_ops.placeholder(dtypes.float32, name="x")
w = variables.Variable(3.0)
y = math_ops.subtract(w * x, 7.0, name="y") # pylint: disable=unused-variable
ops.add_to_collection("meta", "this is meta")
with self.session(graph=g) as session:
variables.global_variables_initializer().run()
new_graph_def = graph_util.convert_variables_to_constants(
session, g.as_graph_def(), ["y"])
filename = os.path.join(self.base_path, constants.META_GRAPH_DEF_FILENAME)
saver.export_meta_graph(
filename, graph_def=new_graph_def, collection_list=["meta"])
def tearDown(self):
shutil.rmtree(self.base_path)
def testGraphWithoutVarsLoadsCorrectly(self):
session, _ = session_bundle.load_session_bundle_from_path(self.base_path)
got = session.run(["y:0"], {"x:0": 5.0})[0]
self.assertEquals(got, 5.0 * 3.0 - 7.0)
self.assertEquals(ops.get_collection("meta"), [b"this is meta"])
if __name__ == "__main__":
test.main()
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