f618ab4955
- assertEquals -> assertEqual - assertRaisesRegexp -> assertRegexpMatches - assertRegexpMatches -> assertRegex PiperOrigin-RevId: 319118081 Change-Id: Ieb457128522920ab55d6b69a7f244ab798a7d689
113 lines
4.2 KiB
Python
113 lines
4.2 KiB
Python
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for tfdbg module debug_data."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.python.debug.lib import debug_graphs
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from tensorflow.python.framework import test_util
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from tensorflow.python.platform import test
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class ParseNodeOrTensorNameTest(test_util.TensorFlowTestCase):
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def testParseNodeName(self):
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node_name, slot = debug_graphs.parse_node_or_tensor_name(
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"namespace1/node_1")
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self.assertEqual("namespace1/node_1", node_name)
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self.assertIsNone(slot)
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def testParseTensorName(self):
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node_name, slot = debug_graphs.parse_node_or_tensor_name(
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"namespace1/node_2:3")
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self.assertEqual("namespace1/node_2", node_name)
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self.assertEqual(3, slot)
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class GetNodeNameAndOutputSlotTest(test_util.TensorFlowTestCase):
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def testParseTensorNameInputWorks(self):
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self.assertEqual("a", debug_graphs.get_node_name("a:0"))
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self.assertEqual(0, debug_graphs.get_output_slot("a:0"))
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self.assertEqual("_b", debug_graphs.get_node_name("_b:1"))
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self.assertEqual(1, debug_graphs.get_output_slot("_b:1"))
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def testParseNodeNameInputWorks(self):
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self.assertEqual("a", debug_graphs.get_node_name("a"))
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self.assertEqual(0, debug_graphs.get_output_slot("a"))
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class NodeNameChecksTest(test_util.TensorFlowTestCase):
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def testIsCopyNode(self):
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self.assertTrue(debug_graphs.is_copy_node("__copy_ns1/ns2/node3_0"))
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self.assertFalse(debug_graphs.is_copy_node("copy_ns1/ns2/node3_0"))
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self.assertFalse(debug_graphs.is_copy_node("_copy_ns1/ns2/node3_0"))
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self.assertFalse(debug_graphs.is_copy_node("_copyns1/ns2/node3_0"))
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self.assertFalse(debug_graphs.is_copy_node("__dbg_ns1/ns2/node3_0"))
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def testIsDebugNode(self):
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self.assertTrue(
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debug_graphs.is_debug_node("__dbg_ns1/ns2/node3:0_0_DebugIdentity"))
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self.assertFalse(
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debug_graphs.is_debug_node("dbg_ns1/ns2/node3:0_0_DebugIdentity"))
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self.assertFalse(
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debug_graphs.is_debug_node("_dbg_ns1/ns2/node3:0_0_DebugIdentity"))
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self.assertFalse(
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debug_graphs.is_debug_node("_dbgns1/ns2/node3:0_0_DebugIdentity"))
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self.assertFalse(debug_graphs.is_debug_node("__copy_ns1/ns2/node3_0"))
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class ParseDebugNodeNameTest(test_util.TensorFlowTestCase):
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def testParseDebugNodeName_valid(self):
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debug_node_name_1 = "__dbg_ns_a/ns_b/node_c:1_0_DebugIdentity"
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(watched_node, watched_output_slot, debug_op_index,
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debug_op) = debug_graphs.parse_debug_node_name(debug_node_name_1)
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self.assertEqual("ns_a/ns_b/node_c", watched_node)
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self.assertEqual(1, watched_output_slot)
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self.assertEqual(0, debug_op_index)
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self.assertEqual("DebugIdentity", debug_op)
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def testParseDebugNodeName_invalidPrefix(self):
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invalid_debug_node_name_1 = "__copy_ns_a/ns_b/node_c:1_0_DebugIdentity"
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with self.assertRaisesRegex(ValueError, "Invalid prefix"):
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debug_graphs.parse_debug_node_name(invalid_debug_node_name_1)
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def testParseDebugNodeName_missingDebugOpIndex(self):
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invalid_debug_node_name_1 = "__dbg_node1:0_DebugIdentity"
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with self.assertRaisesRegex(ValueError, "Invalid debug node name"):
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debug_graphs.parse_debug_node_name(invalid_debug_node_name_1)
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def testParseDebugNodeName_invalidWatchedTensorName(self):
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invalid_debug_node_name_1 = "__dbg_node1_0_DebugIdentity"
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with self.assertRaisesRegex(ValueError,
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"Invalid tensor name in debug node name"):
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debug_graphs.parse_debug_node_name(invalid_debug_node_name_1)
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if __name__ == "__main__":
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test.main()
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