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[TF:XLA] Slightly increase error tolerance of Adagrad test.

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PiperOrigin-RevId: 266910629
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A. Unique TensorFlower 2019-09-03 05:56:27 -07:00 committed by TensorFlower Gardener
parent dc48199572
commit a66d77fad7
2 changed files with 2 additions and 3 deletions
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1
tensorflow/python/BUILD
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@ -5724,7 +5724,6 @@ cuda_py_tests(
"@six_archive//:six", "@six_archive//:six",
"//tensorflow/core:protos_all_py", "//tensorflow/core:protos_all_py",
], ],
xla_enable_strict_auto_jit = True,
) )
py_library( py_library(

4
tensorflow/python/training/ftrl_test.py
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@ -363,8 +363,8 @@ class FtrlOptimizerTest(test.TestCase):
val2, val3 = self.applyOptimizer( val2, val3 = self.applyOptimizer(
adagrad.AdagradOptimizer(3.0, initial_accumulator_value=0.1), dtype) adagrad.AdagradOptimizer(3.0, initial_accumulator_value=0.1), dtype)
self.assertAllCloseAccordingToType(val0, val2) self.assertAllCloseAccordingToType(val0, val2, half_rtol=2e-3)
self.assertAllCloseAccordingToType(val1, val3) self.assertAllCloseAccordingToType(val1, val3, half_rtol=2e-3)
@test_util.run_deprecated_v1 @test_util.run_deprecated_v1
def testEquivSparseAdagradwithoutRegularization(self): def testEquivSparseAdagradwithoutRegularization(self):