experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Internal change

Browse Source 
PiperOrigin-RevId: 313473478
Change-Id: I53882ee616693d8f3006870786c153e470b4b939
This commit is contained in:
A. Unique TensorFlower 2020-05-27 15:14:59 -07:00 committed by TensorFlower Gardener
parent 75fc53e381
commit 8b1f77197a
2 changed files with 0 additions and 14 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
tensorflow/python/kernel_tests/random/random_ops_test.py
View File

@ -23,7 +23,6 @@ from six.moves import xrange # pylint: disable=redefined-builtin
from tensorflow.python.eager import context
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.framework import ops
from tensorflow.python.framework import random_seed
from tensorflow.python.framework import test_util
@ -416,13 +415,6 @@ class RandomUniformTest(RandomOpTestCommon):
use_gpu=use_gpu,
graph_seed=965)
def testUniformWithInvalidMaxMindShape(self):
# Test case for GitHub issue 34363.
with self.assertRaises(
(errors.InvalidArgumentError, errors.UnknownError, ValueError)):
array = array_ops.zeros(shape=(1,))
random_ops.random_uniform(shape=(), minval=array)
class RandomShapeTest(test.TestCase):

6
tensorflow/python/ops/random_ops.py
View File

@ -304,12 +304,6 @@ def random_uniform(shape,
if not maxval_is_one:
result = math_ops.multiply(result, maxval)
else:
# Use explicit "broadcast_to" so that any shape incompatibility
# are returned with InvalidArgument error.
# This prevent "slient broadcast" that may cause the shape of
# result "overflow" when minval or maxval is larger than expected shape
maxval = array_ops.broadcast_to(maxval, shape)
minval = array_ops.broadcast_to(minval, shape)
result = math_ops.add(result * (maxval - minval), minval, name=name)
# TODO(b/132092188): C++ shape inference inside functional ops does not
# cross FuncGraph boundaries since that information is only available in