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authorGravatar David Majnemer <majnemer@google.com>2018-09-05 14:01:26 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-09-05 14:06:30 -0700
commit9059375e16a563af1cc208a8f4cb898a4892a396 (patch)
tree0292f7a0a766aa7c960f704514fc8e827e78357f /tensorflow/compiler/tests
parent11caab3c138d06390344c88a4149f1897e3d780d (diff)
[XLA] Rename PrecisionConfigProto to PrecisionConfig
The "Proto" suffix adds little clarity but makes a long type name even longer. PiperOrigin-RevId: 211693871
Diffstat (limited to 'tensorflow/compiler/tests')
-rw-r--r--tensorflow/compiler/tests/xla_ops_test.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/compiler/tests/xla_ops_test.py b/tensorflow/compiler/tests/xla_ops_test.py
index b2f026df6c..3f928a1bea 100644
--- a/tensorflow/compiler/tests/xla_ops_test.py
+++ b/tensorflow/compiler/tests/xla_ops_test.py
@@ -97,9 +97,9 @@ class XlaOpsTest(xla_test.XLATestCase, parameterized.TestCase):
args=(np.array([0xFFFFFFFF, 16], dtype=np.uint32), np.uint32(4)),
expected=np.array([0xFFFFFFFF, 1], dtype=np.uint32))
- PRECISION_VALUES = (None, xla_data_pb2.PrecisionConfigProto.DEFAULT,
- xla_data_pb2.PrecisionConfigProto.HIGH,
- xla_data_pb2.PrecisionConfigProto.HIGHEST)
+ PRECISION_VALUES = (None, xla_data_pb2.PrecisionConfig.DEFAULT,
+ xla_data_pb2.PrecisionConfig.HIGH,
+ xla_data_pb2.PrecisionConfig.HIGHEST)
@parameterized.parameters(*PRECISION_VALUES)
def testConv(self, precision):
@@ -120,7 +120,7 @@ class XlaOpsTest(xla_test.XLATestCase, parameterized.TestCase):
dnums.output_spatial_dimensions.extend(range(2, 2 + num_spatial_dims))
precision_config = None
if precision:
- precision_config = xla_data_pb2.PrecisionConfigProto()
+ precision_config = xla_data_pb2.PrecisionConfig()
precision_config.operand_precision.extend([precision, precision])
return xla.conv(
lhs,
@@ -151,7 +151,7 @@ class XlaOpsTest(xla_test.XLATestCase, parameterized.TestCase):
dnums.rhs_batch_dimensions.append(0)
precision_config = None
if precision:
- precision_config = xla_data_pb2.PrecisionConfigProto()
+ precision_config = xla_data_pb2.PrecisionConfig()
precision_config.operand_precision.extend([precision, precision])
return xla.dot_general(
lhs,