Fix typos (tensorflow#11166)

TeeeJay · Jul 3, 2017 · afa03e2 · afa03e2
1 parent eee7615
commit afa03e2
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Showing 6 changed files with 6 additions and 6 deletions.
diff --git a/tensorflow/compiler/aot/BUILD b/tensorflow/compiler/aot/BUILD
@@ -156,7 +156,7 @@ tf_library(
 )
 
 # A test of tf_library that includes a graph with an unknown op, but where
-# the compilation works because the the unknown op is not needed for the fetches.
+# the compilation works because the unknown op is not needed for the fetches.
 tf_library(
  name = "test_graph_tfunknownop",
  testonly = 1,

diff --git a/tensorflow/contrib/makefile/create_ios_frameworks.sh b/tensorflow/contrib/makefile/create_ios_frameworks.sh
@@ -79,7 +79,7 @@ cd $SCRIPT_DIR/gen/proto
 tar cf $FW_DIR_TFCORE_HDRS/tmp.tar tensorflow
 cd $FW_DIR_TFCORE_HDRS
 tar xf tmp.tar
-# Dont include the auto downloaded/generated to build this library
+# Don't include the auto downloaded/generated to build this library
 rm -rf tensorflow/contrib/makefile
 rm -f tmp.tar
 

diff --git a/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py b/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py
@@ -283,7 +283,7 @@ def _luong_score(query, keys, scale):
  raise ValueError(
  "Incompatible or unknown inner dimensions between query and keys. "
  "Query (%s) has units: %s. Keys (%s) have units: %s. "
- "Perhaps you need to set num_units to the the keys' dimension (%s)?"
+ "Perhaps you need to set num_units to the keys' dimension (%s)?"
  % (query, depth, keys, key_units, key_units))
  dtype = query.dtype
 

diff --git a/tensorflow/core/util/memmapped_file_system_test.cc b/tensorflow/core/util/memmapped_file_system_test.cc
@@ -110,7 +110,7 @@ TEST(MemmappedFileSystemTest, SimpleTest) {
  memmapped_env.FileExists("bla-bla-bla").code());
 }
 
-TEST(MemmappedFileSystemTest, NotInitalized) {
+TEST(MemmappedFileSystemTest, NotInitialized) {
  MemmappedEnv memmapped_env(Env::Default());
  std::unique_ptr<ReadOnlyMemoryRegion> memory_region;
  EXPECT_EQ(

diff --git a/tensorflow/python/framework/tensor_shape.py b/tensorflow/python/framework/tensor_shape.py
@@ -365,7 +365,7 @@ def __ge__(self, other):
 def as_dimension(value):
  """Converts the given value to a Dimension.
 
- A Dimenson input will be returned unmodified.
+ A Dimension input will be returned unmodified.
  An input of `None` will be converted to an unknown Dimension.
  An integer input will be converted to a Dimension with that value.
 

diff --git a/tensorflow/python/kernel_tests/pooling_ops_test.py b/tensorflow/python/kernel_tests/pooling_ops_test.py
@@ -521,7 +521,7 @@ def testDepthwiseMaxPoolInvalidConfigs(self):
  padding="SAME").eval()
 
  # The following are tests that verify that the CPU and GPU implementations
- # produce the same resuts.
+ # produce the same results.
  def _CompareMaxPoolingFwd(self, input_shape, ksize, strides, padding):
  for dtype in np.float64, np.float32, np.float16:
  tensor_input = np.random.rand(*input_shape).astype(dtype)