Removes a should_use decorator from tf.Assert to prevent extraneous warning inside functions.
PiperOrigin-RevId: 224061693
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@ -3250,6 +3250,7 @@ cuda_py_test(
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":util",
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":variable_scope",
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":variables",
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"//tensorflow/python/eager:def_function",
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],
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)
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@ -56,7 +56,6 @@ from tensorflow.python.platform import tf_logging as logging
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from tensorflow.python.util import compat
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from tensorflow.python.util import deprecation
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from tensorflow.python.util import nest
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from tensorflow.python.util import tf_should_use
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from tensorflow.python.util.lazy_loader import LazyLoader
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from tensorflow.python.util.tf_export import tf_export
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@ -113,7 +112,6 @@ def _summarize_eager(tensor, summarize=None):
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# Assert and Print are special symbols in python, so we must
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# use an upper-case version of them.
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@tf_export("debugging.Assert", "Assert")
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@tf_should_use.should_use_result
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def Assert(condition, data, summarize=None, name=None):
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"""Asserts that the given condition is true.
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@ -24,6 +24,7 @@ import numpy as np
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from tensorflow.core.framework import graph_pb2
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from tensorflow.core.framework import node_def_pb2
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from tensorflow.python.client import session
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from tensorflow.python.eager import def_function
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import errors
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@ -1014,6 +1015,18 @@ class AssertTest(test_util.TensorFlowTestCase):
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with self.assertRaises(errors.InvalidArgumentError):
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self.evaluate(c)
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@test_util.run_in_graph_and_eager_modes
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def testAssertInFunction(self):
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@def_function.function
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def whiny(value):
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control_flow_ops.Assert(value, ["Raised false"])
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return constant_op.constant(5)
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with self.assertRaises(errors.InvalidArgumentError):
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self.evaluate(whiny(False))
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self.assertAllEqual(whiny(True), 5)
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if __name__ == "__main__":
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googletest.main()
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