Replace value in simple_step_size_adaptation_test to work around a test failure caused by different numerics in Numpy 1.21.4/Python 3.9.

emilyfertig · emilyfertig · commit 02f31b5d4631 · 2021-11-16T17:09:46.000-08:00
PiperOrigin-RevId: 410371438
diff --git a/tensorflow_probability/python/mcmc/simple_step_size_adaptation_test.py b/tensorflow_probability/python/mcmc/simple_step_size_adaptation_test.py
@@ -471,7 +471,7 @@ class SimpleStepSizeAdaptationStaticBroadcastingTest(test_util.TestCase):
   )
   def testBroadcasting(self, old_step_size, new_step_size):
     log_accept_ratio = tf.constant(
-        [[np.log(0.73), np.log(0.76), np.log(0.73)],
+        [[np.log(0.72), np.log(0.76), np.log(0.73)],
          [np.log(0.77), np.log(0.77), np.log(0.73)]],
         dtype=tf.float64)
     log_accept_ratio = tf1.placeholder_with_default(

Original file line number	Diff line number	Diff line change
`@@ -471,7 +471,7 @@ class SimpleStepSizeAdaptationStaticBroadcastingTest(test_util.TestCase):`
`471`	`471`	`)`
`472`	`472`	`def testBroadcasting(self, old_step_size, new_step_size):`
`473`	`473`	`log_accept_ratio = tf.constant(`
`474`		`- [[np.log(0.73), np.log(0.76), np.log(0.73)],`
	`474`	`+ [[np.log(0.72), np.log(0.76), np.log(0.73)],`
`475`	`475`	`[np.log(0.77), np.log(0.77), np.log(0.73)]],`
`476`	`476`	`dtype=tf.float64)`
`477`	`477`	`log_accept_ratio = tf1.placeholder_with_default(`