Fix typos

tensorflow/compiler/xla/service/allocation_tracker.h

@@ -67,7 +67,7 @@ class AllocationTracker {
     // The device that the memory is allocated on.
     int device_ordinal;
 
-    // This is the number of times this memory allocation is refered to by
+    // This is the number of times this memory allocation is referred to by
     // registered data handles.
     int ref_count;
   };

tensorflow/compiler/xla/service/layout_assignment.h

@@ -296,7 +296,7 @@ class LayoutAssignment : public HloPassInterface {
       const ResultLayoutConstraint& layout_constraint,
       LayoutConstraints* constraints);
 
-  // By default LayoutAssignment ensures that inputs and ouptuts of CustomCalls
+  // By default LayoutAssignment ensures that inputs and outputs of CustomCalls
   // have the "major-first" layout (i.e.  {n, n-1, ..., 0}).
   //
   // If this function returns true, LayoutAssignment does not set a layout for

tensorflow/contrib/eager/python/examples/rnn_ptb/rnn_ptb.py

@@ -214,7 +214,7 @@ def __init__(self, path):
     """Load the Penn Treebank dataset.
 
     Args:
-      path: Path to the data/ directory of the dataset from from Tomas Mikolov's
+      path: Path to the data/ directory of the dataset from Tomas Mikolov's
         webpage - http://www.fit.vutbr.cz/~imikolov/rnnlm/simple-examples.tgz
     """
 

tensorflow/contrib/gan/python/train.py

@@ -343,7 +343,7 @@ def _tensor_pool_adjusted_model(model, tensor_pool_fn):
     `tensor_pool_fn` is None.
 
   Raises:
-    ValueError: If tensor pool does not suport the `model`.
+    ValueError: If tensor pool does not support the `model`.
   """
   if tensor_pool_fn is None:
     return model

tensorflow/contrib/lite/nnapi/NeuralNetworksShim.h

@@ -1774,7 +1774,7 @@ inline int ANeuralNetworksExecution_setInput(
  *             model. If the type is the same as specified when the model
  *             was built, NULL can be passed.
  * @param memory The memory containing the data.
- * @param offset This specifies the location of the data whithin the memory.
+ * @param offset This specifies the location of the data within the memory.
  *               The offset is in bytes from the start of memory.
  * @param length The size in bytes of the data value.
  *
@@ -1841,7 +1841,7 @@ inline int ANeuralNetworksExecution_setOutput(
  *             model. If the type is the same as specified when the model
  *             was built, NULL can be passed.
  * @param memory The memory where the data is to be stored.
- * @param offset This specifies the location of the data whithin the memory.
+ * @param offset This specifies the location of the data within the memory.
  *               The offset is in bytes from the start of memory.
  * @param length The length in bytes of the data value.
  *

tensorflow/core/kernels/conv_ops_gpu_3.cu.cc

@@ -512,7 +512,7 @@ struct GreaterThan {
   constexpr bool operator()(int a, int b) const { return a > b; }
 };
 
-// For each data type, the tile size posibility frontier denotes the tile size
+// For each data type, the tile size possibility frontier denotes the tile size
 // combinations that consume the most computational resources constrained by
 // - number of threads per SM limit,
 // - limit on size of the short dimension (<=15) due to the definition of

tensorflow/docs_src/get_started/datasets_quickstart.md

@@ -291,7 +291,7 @@ calls @{tf.decode_csv} to parse a single line into its features
 and the label. Since Estimators require that features be represented as a
 dictionary, we rely on Python's built-in `dict` and `zip` functions to build
 that dictionary.  The feature names are the keys of that dictionary.
-We then then call the dictionary's `pop` method to remove the label field from
+We then call the dictionary's `pop` method to remove the label field from
 the features dictionary:
 
 ``` python