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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 tfdbg module debug_data."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import shutil
import tempfile
import numpy as np
from tensorflow.python.debug import debug_data
from tensorflow.python.framework import test_util
from tensorflow.python.platform import googletest
class ParseNodeOrTensorNameTest(test_util.TensorFlowTestCase):
def testParseNodeName(self):
node_name, slot = debug_data.parse_node_or_tensor_name("namespace1/node_1")
self.assertEqual("namespace1/node_1", node_name)
self.assertIsNone(slot)
def testParseTensorName(self):
node_name, slot = debug_data.parse_node_or_tensor_name(
"namespace1/node_2:3")
self.assertEqual("namespace1/node_2", node_name)
self.assertEqual(3, slot)
class NodeNameChecksTest(test_util.TensorFlowTestCase):
def testIsCopyNode(self):
self.assertTrue(debug_data._is_copy_node("__copy_ns1/ns2/node3_0"))
self.assertFalse(debug_data._is_copy_node("copy_ns1/ns2/node3_0"))
self.assertFalse(debug_data._is_copy_node("_copy_ns1/ns2/node3_0"))
self.assertFalse(debug_data._is_copy_node("_copyns1/ns2/node3_0"))
self.assertFalse(debug_data._is_copy_node("__dbg_ns1/ns2/node3_0"))
def testIsDebugNode(self):
self.assertTrue(
debug_data._is_debug_node("__dbg_ns1/ns2/node3:0_0_DebugIdentity"))
self.assertFalse(
debug_data._is_debug_node("dbg_ns1/ns2/node3:0_0_DebugIdentity"))
self.assertFalse(
debug_data._is_debug_node("_dbg_ns1/ns2/node3:0_0_DebugIdentity"))
self.assertFalse(
debug_data._is_debug_node("_dbgns1/ns2/node3:0_0_DebugIdentity"))
self.assertFalse(debug_data._is_debug_node("__copy_ns1/ns2/node3_0"))
class ParseDebugNodeNameTest(test_util.TensorFlowTestCase):
def testParseDebugNodeName_valid(self):
debug_node_name_1 = "__dbg_ns_a/ns_b/node_c:1_0_DebugIdentity"
(watched_node, watched_output_slot, debug_op_index,
debug_op) = debug_data._parse_debug_node_name(debug_node_name_1)
self.assertEqual("ns_a/ns_b/node_c", watched_node)
self.assertEqual(1, watched_output_slot)
self.assertEqual(0, debug_op_index)
self.assertEqual("DebugIdentity", debug_op)
def testParseDebugNodeName_invalidPrefix(self):
invalid_debug_node_name_1 = "__copy_ns_a/ns_b/node_c:1_0_DebugIdentity"
with self.assertRaisesRegexp(ValueError, "Invalid prefix"):
debug_data._parse_debug_node_name(invalid_debug_node_name_1)
def testParseDebugNodeName_missingDebugOpIndex(self):
invalid_debug_node_name_1 = "__dbg_node1:0_DebugIdentity"
with self.assertRaisesRegexp(ValueError, "Invalid debug node name"):
debug_data._parse_debug_node_name(invalid_debug_node_name_1)
def testParseDebugNodeName_invalidWatchedTensorName(self):
invalid_debug_node_name_1 = "__dbg_node1_0_DebugIdentity"
with self.assertRaisesRegexp(ValueError,
"Invalid tensor name in debug node name"):
debug_data._parse_debug_node_name(invalid_debug_node_name_1)
class HasNanOrInfTest(test_util.TensorFlowTestCase):
def setUp(self):
self._dummy_datum = dummy_datum = debug_data.DebugTensorDatum(
"/foo", "bar_0_DebugIdentity_42")
def testNaN(self):
a = np.array([np.nan, np.nan, 7.0])
self.assertTrue(debug_data.has_inf_or_nan(self._dummy_datum, a))
def testInf(self):
a = np.array([np.inf, np.inf, 7.0])
self.assertTrue(debug_data.has_inf_or_nan(self._dummy_datum, a))
def testNanAndInf(self):
a = np.array([np.inf, np.nan, 7.0])
self.assertTrue(debug_data.has_inf_or_nan(self._dummy_datum, a))
def testNoNanOrInf(self):
a = np.array([0.0, 0.0, 7.0])
self.assertFalse(debug_data.has_inf_or_nan(self._dummy_datum, a))
def testEmpty(self):
a = np.array([])
self.assertFalse(debug_data.has_inf_or_nan(self._dummy_datum, a))
def testNone(self):
a = None
self.assertFalse(debug_data.has_inf_or_nan(self._dummy_datum, a))
def testDTypeComplexWorks(self):
a = np.array([1j, 3j, 3j, 7j], dtype=np.complex128)
self.assertFalse(debug_data.has_inf_or_nan(self._dummy_datum, a))
b = np.array([1j, 3j, 3j, 7j, np.nan], dtype=np.complex256)
self.assertTrue(debug_data.has_inf_or_nan(self._dummy_datum, b))
def testDTypeIntegerWorks(self):
a = np.array([1, 3, 3, 7], dtype=np.int16)
self.assertFalse(debug_data.has_inf_or_nan(self._dummy_datum, a))
def testDTypeStringGivesFalse(self):
"""isnan and isinf are not applicable to strings."""
a = np.array(["s", "p", "a", "m"])
self.assertFalse(debug_data.has_inf_or_nan(self._dummy_datum, a))
def testDTypeObjectGivesFalse(self):
dt = np.dtype([("spam", np.str_, 16), ("eggs", np.float64, (2,))])
a = np.array([("spam", (8.0, 7.0)), ("eggs", (6.0, 5.0))], dtype=dt)
self.assertFalse(debug_data.has_inf_or_nan(self._dummy_datum, a))
class DebugTensorDatumTest(test_util.TensorFlowTestCase):
def testDebugDatum(self):
dump_root = "/tmp/tfdbg_1"
debug_dump_rel_path = "ns1/ns2/node_a_1_2_DebugIdentity_1472563253536385"
datum = debug_data.DebugTensorDatum(dump_root, debug_dump_rel_path)
self.assertEqual("DebugIdentity", datum.debug_op)
self.assertEqual("ns1/ns2/node_a_1", datum.node_name)
self.assertEqual(2, datum.output_slot)
self.assertEqual("ns1/ns2/node_a_1:2", datum.tensor_name)
self.assertEqual(1472563253536385, datum.timestamp)
self.assertEqual("ns1/ns2/node_a_1:2:DebugIdentity", datum.watch_key)
self.assertEqual(
os.path.join(dump_root, debug_dump_rel_path), datum.file_path)
self.assertEqual("{DebugTensorDatum: %s:%d @ %s @ %d}" % (datum.node_name,
datum.output_slot,
datum.debug_op,
datum.timestamp),
str(datum))
self.assertEqual("{DebugTensorDatum: %s:%d @ %s @ %d}" % (datum.node_name,
datum.output_slot,
datum.debug_op,
datum.timestamp),
repr(datum))
def testDumpSizeBytesIsNoneForNonexistentFilePath(self):
dump_root = "/tmp/tfdbg_1"
debug_dump_rel_path = "ns1/ns2/node_foo_1_2_DebugIdentity_1472563253536385"
datum = debug_data.DebugTensorDatum(dump_root, debug_dump_rel_path)
self.assertIsNone(datum.dump_size_bytes)
class DebugDumpDirTest(test_util.TensorFlowTestCase):
def setUp(self):
self._dump_root = tempfile.mktemp()
os.mkdir(self._dump_root)
def tearDown(self):
# Tear down temporary dump directory.
shutil.rmtree(self._dump_root)
def testDebugDumpDir_nonexistentDumpRoot(self):
with self.assertRaisesRegexp(IOError, "does not exist"):
debug_data.DebugDumpDir(tempfile.mktemp() + "_foo")
def testDebugDumpDir_invalidFileNamingPattern(self):
# File name with too few underscores should lead to an exception.
open(os.path.join(self._dump_root, "node1_DebugIdentity_1234"), "wb")
with self.assertRaisesRegexp(ValueError,
"does not conform to the naming pattern"):
debug_data.DebugDumpDir(self._dump_root)
def testDebugDumpDir_emptyDumpDir(self):
dump_dir = debug_data.DebugDumpDir(self._dump_root)
self.assertIsNone(dump_dir.t0)
self.assertEqual([], dump_dir.dumped_tensor_data)
class GetNodeNameAndOutputSlotTest(test_util.TensorFlowTestCase):
def testParseTensorNameInputWorks(self):
self.assertEqual("a", debug_data.get_node_name("a:0"))
self.assertEqual(0, debug_data.get_output_slot("a:0"))
self.assertEqual("_b", debug_data.get_node_name("_b:1"))
self.assertEqual(1, debug_data.get_output_slot("_b:1"))
def testParseNodeNameInputWorks(self):
self.assertEqual("a", debug_data.get_node_name("a"))
self.assertEqual(0, debug_data.get_output_slot("a"))
if __name__ == "__main__":
googletest.main()
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