# 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

from tensorflow.python.debug.lib import debug_graphs

from tensorflow.python.framework import test_util

from tensorflow.python.platform import test

class ParseNodeOrTensorNameTest(test_util.TensorFlowTestCase):

def testParseNodeName(self):

node_name, slot = debug_graphs.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_graphs.parse_node_or_tensor_name(

"namespace1/node_2:3")

self.assertEqual("namespace1/node_2", node_name)

self.assertEqual(3, slot)

class GetNodeNameAndOutputSlotTest(test_util.TensorFlowTestCase):

def testParseTensorNameInputWorks(self):

self.assertEqual("a", debug_graphs.get_node_name("a:0"))

self.assertEqual(0, debug_graphs.get_output_slot("a:0"))

self.assertEqual("_b", debug_graphs.get_node_name("_b:1"))

self.assertEqual(1, debug_graphs.get_output_slot("_b:1"))

def testParseNodeNameInputWorks(self):

self.assertEqual("a", debug_graphs.get_node_name("a"))

self.assertEqual(0, debug_graphs.get_output_slot("a"))

class NodeNameChecksTest(test_util.TensorFlowTestCase):

def testIsCopyNode(self):

self.assertTrue(debug_graphs.is_copy_node("__copy_ns1/ns2/node3_0"))

self.assertFalse(debug_graphs.is_copy_node("copy_ns1/ns2/node3_0"))

self.assertFalse(debug_graphs.is_copy_node("_copy_ns1/ns2/node3_0"))

self.assertFalse(debug_graphs.is_copy_node("_copyns1/ns2/node3_0"))

self.assertFalse(debug_graphs.is_copy_node("__dbg_ns1/ns2/node3_0"))

def testIsDebugNode(self):

self.assertTrue(

debug_graphs.is_debug_node("__dbg_ns1/ns2/node3:0_0_DebugIdentity"))

self.assertFalse(

debug_graphs.is_debug_node("dbg_ns1/ns2/node3:0_0_DebugIdentity"))

self.assertFalse(

debug_graphs.is_debug_node("_dbg_ns1/ns2/node3:0_0_DebugIdentity"))

self.assertFalse(

debug_graphs.is_debug_node("_dbgns1/ns2/node3:0_0_DebugIdentity"))

self.assertFalse(debug_graphs.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_graphs.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_graphs.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_graphs.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_graphs.parse_debug_node_name(invalid_debug_node_name_1)

if __name__ == "__main__":

test.main()