Disallow setting the forward compatibility horizon in the past.
If this breaks code you maintain, instead switch to using tf.raw_ops to directly control what graph ops are emitted from the TF high level APIs instead of assuming TF will never delete stale branches of forward compatible code. PiperOrigin-RevId: 309756416 Change-Id: I47f874423401d974c26e7edc65e8f7a39e8cae0e
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@ -30,7 +30,6 @@ from six.moves import xrange # pylint: disable=redefined-builtin
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from tensorflow.compiler.tests import xla_test
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import ops
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import gen_image_ops
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from tensorflow.python.ops import image_ops
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@ -979,7 +978,6 @@ class NonMaxSuppressionTest(xla_test.XLATestCase):
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class BatchedNonMaxSuppressionCorrectnessTest(xla_test.XLATestCase):
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@test_util.with_forward_compatibility_horizons(None, [2020, 4, 21])
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def testBatchedNMSFrom6(self):
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boxes_data = [[[0, 0, 1, 1], [3, 3, 4, 4], [0, 0.4, 1, 1.4],
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[0, 0.6, 1, 1.6], [0, 0.8, 1, 1.8], [0, 2, 1, 2]],
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@ -1017,7 +1015,6 @@ class BatchedNonMaxSuppressionCorrectnessTest(xla_test.XLATestCase):
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indices_output)
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self.assertAllEqual([5, 4], num_valid_output)
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@test_util.with_forward_compatibility_horizons(None, [2020, 4, 21])
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def testBatchedNMSFrom6Max3(self):
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boxes_data = [[[0, 0, 1, 1], [3, 3, 4, 4], [0, 0.4, 1, 1.4],
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[0, 0.6, 1, 1.6], [0, 0.8, 1, 1.8], [0, 2, 1, 2]],
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@ -1051,7 +1048,6 @@ class BatchedNonMaxSuppressionCorrectnessTest(xla_test.XLATestCase):
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self.assertAllEqual([[0, 1, 2], [0, 1, 3]], indices_output)
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self.assertAllEqual([3, 3], num_valid_output)
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@test_util.with_forward_compatibility_horizons(None, [2020, 4, 21])
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def testBatchedNMSSingleFrom6Max3(self):
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boxes_data = [[0, 0, 1, 1], [3, 3, 4, 4], [0, 0.4, 1, 1.4],
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[0, 0.6, 1, 1.6], [0, 0.8, 1, 1.8], [0, 2, 1, 2]]
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@ -1082,7 +1078,6 @@ class BatchedNonMaxSuppressionCorrectnessTest(xla_test.XLATestCase):
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self.assertAllEqual([0, 1, 2], indices_output)
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self.assertAllEqual(3, num_valid_output)
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@test_util.with_forward_compatibility_horizons(None, [2020, 4, 21])
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def testBatchedNMSSingleFrom6NoPad(self):
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boxes_data = [[0, 0, 1, 1], [3, 3, 4, 4], [0, 0.4, 1, 1.4],
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[0, 0.6, 1, 1.6], [0, 0.8, 1, 1.8], [0, 2, 1, 2]]
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@ -1112,7 +1107,6 @@ class BatchedNonMaxSuppressionCorrectnessTest(xla_test.XLATestCase):
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self.assertAllEqual([0, 1, 2, 4, 5], indices_output)
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self.assertAllEqual(5, num_valid_output)
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@test_util.with_forward_compatibility_horizons(None, [2020, 4, 21])
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def testBatchedNMSBatchDimsFrom6Max3(self):
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boxes_data = [[[[0, 0, 1, 1], [3, 3, 4, 4], [0, 0.4, 1, 1.4],
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[0, 0.6, 1, 1.6], [0, 0.8, 1, 1.8], [0, 2, 1, 2]],
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@ -1146,7 +1140,6 @@ class BatchedNonMaxSuppressionCorrectnessTest(xla_test.XLATestCase):
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self.assertAllEqual([[[0, 1, 2], [0, 1, 3]]], indices_output)
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self.assertAllEqual([[3, 3]], num_valid_output)
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@test_util.with_forward_compatibility_horizons(None, [2020, 4, 21])
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def testBatchedNMSScoreThresholdFrom6Max3(self):
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boxes_data = [[[0, 0, 1, 1], [3, 3, 4, 4], [0, 0.4, 1, 1.4],
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[0, 0.6, 1, 1.6], [0, 0.8, 1, 1.8], [0, 2, 1, 2]],
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@ -1182,7 +1175,6 @@ class BatchedNonMaxSuppressionCorrectnessTest(xla_test.XLATestCase):
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self.assertAllEqual([3, 2], num_valid_output)
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self.assertAllEqual([[0, 1, 2], [0, 1, invalid_index]], indices_output)
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@test_util.with_forward_compatibility_horizons(None, [2020, 4, 21])
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def testBatchedNMSUnsortedInputFrom6(self):
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boxes_data = [[[0, 2, 1, 2], [3, 3, 4, 4], [0, 0, 1, 1],
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[0, 0.4, 1, 1.4], [0, 0.6, 1, 1.6], [0, 0.8, 1, 1.8]],
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@ -1219,7 +1211,6 @@ class BatchedNonMaxSuppressionCorrectnessTest(xla_test.XLATestCase):
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indices_output)
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self.assertAllEqual([5, 4], num_valid_output)
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@test_util.with_forward_compatibility_horizons(None, [2020, 4, 21])
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def testBatchedNMSNoncanonicalizedInputFrom6(self):
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boxes_data = [[[1, 0, 0, 1], [4, 3, 3, 4], [1, 0.4, 0, 1.4],
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[1, 0.6, 0, 1.6], [1, 0.8, 0, 1.8], [1, 2, 0, 2]],
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@ -1257,7 +1248,6 @@ class BatchedNonMaxSuppressionCorrectnessTest(xla_test.XLATestCase):
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indices_output)
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self.assertAllEqual([5, 4], num_valid_output)
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@test_util.with_forward_compatibility_horizons(None, [2020, 4, 21])
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def testBatchedNMSScoreThresholdCanInputsFrom6Max3(self):
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boxes_data = [[[0, 0, 1, 1], [3, 3, 4, 4], [0, 0.4, 1, 1.4],
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[0, 0.6, 1, 1.6], [0, 0.8, 1, 1.8], [0, 2, 1, 2]],
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@ -1293,7 +1283,6 @@ class BatchedNonMaxSuppressionCorrectnessTest(xla_test.XLATestCase):
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self.assertAllEqual([3, 2], num_valid_output)
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self.assertAllEqual([[0, 1, 2], [0, 1, invalid_index]], indices_output)
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@test_util.with_forward_compatibility_horizons(None, [2020, 4, 21])
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def testBatchedNMSFrom6DynamicInput(self):
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boxes_data = [[[0, 0, 1, 1], [3, 3, 4, 4], [0, 0.4, 1, 1.4],
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[0, 0.6, 1, 1.6], [0, 0.8, 1, 1.8], [0, 2, 1, 2]],
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@ -25,9 +25,11 @@ from __future__ import print_function
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import datetime
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import os
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from tensorflow.python.platform import tf_logging as logging
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from tensorflow.python.util import tf_contextlib
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from tensorflow.python.util.tf_export import tf_export
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# This value changes every day with an automatic CL. It can be modified in code
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# via `forward_compatibility_horizon()` or with the environment variable
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# TF_FORWARD_COMPATIBILITY_DELTA_DAYS, which is added to the compatibility date.
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@ -53,6 +55,10 @@ def _update_forward_compatibility_date_number(date_to_override=None):
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if delta_days:
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date += datetime.timedelta(days=int(delta_days))
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if date < _FORWARD_COMPATIBILITY_HORIZON:
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logging.warning("Trying to set the forward compatibility date to the past"
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" date %s. This will be ignored by TensorFlow." % (date))
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return
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_FORWARD_COMPATIBILITY_DATE_NUMBER = _date_to_date_number(
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date.year, date.month, date.day)
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@ -40,6 +40,10 @@ class CompatTest(test.TestCase):
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self.assertTrue(compat.forward_compatible(*one_day_before))
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self.assertFalse(compat.forward_compatible(*compatibility_date))
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def test_past(self):
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with compat.forward_compatibility_horizon(2018, 9, 18):
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self.assertTrue(compat.forward_compatible(2020, 4, 4))
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def test_decorator(self):
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compatibility_date = self._compatibility_date()
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one_day_after = self._n_days_after(1)
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