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-rw-r--r--tensorflow/contrib/quantize/python/quantize_parameterized_test.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/contrib/quantize/python/quantize_parameterized_test.py b/tensorflow/contrib/quantize/python/quantize_parameterized_test.py
index 0624cc878b..db745aa562 100644
--- a/tensorflow/contrib/quantize/python/quantize_parameterized_test.py
+++ b/tensorflow/contrib/quantize/python/quantize_parameterized_test.py
@@ -419,7 +419,7 @@ class QuantizeTest(test_util.TensorFlowTestCase):
normalizer_params=self._BatchNormParams(fused_batch_norm),
scope=scope)
- # Manually add a bypass (optionaly) and an activation.
+ # Manually add a bypass (optional) and an activation.
if with_bypass:
node = math_ops.add(inputs, node, name='test/Add')
@@ -470,7 +470,7 @@ class QuantizeTest(test_util.TensorFlowTestCase):
normalizer_params=self._BatchNormParams(fused_batch_norm),
scope=scope)
- # Manually add a bypass (optionaly) and an activation.
+ # Manually add a bypass (optional) and an activation.
if with_bypass:
node = math_ops.add(inputs, node, name='test/Add')
@@ -526,7 +526,7 @@ class QuantizeTest(test_util.TensorFlowTestCase):
normalizer_params=self._BatchNormParams(fused_batch_norm),
scope=scope)
- # Manually add a bypass (optionaly) and an activation.
+ # Manually add a bypass (optional) and an activation.
if with_bypass:
node = math_ops.add(inputs, node, name='test/Add')
@@ -565,7 +565,7 @@ class QuantizeTest(test_util.TensorFlowTestCase):
stddev: Standard deviation of normal variable.
Returns:
- An initialized that initialzes with a truncated normal variable.
+ An initialized that initializes with a truncated normal variable.
"""
return init_ops.truncated_normal_initializer(stddev=stddev)