Merge pull request #12207 from taehoonlee/fix_typos

Fix typos

tensorflow/core/framework/tensor_slice.h

@@ -126,7 +126,7 @@ class TensorSlice {
   // Interaction with other TensorSlices.
 
   // Compute the intersection with another slice and if "result" is not
-  // nullptr, store the results in *result; returns true is there is any real
+  // nullptr, store the results in *result; returns true if there is any real
   // intersection.
   bool Intersect(const TensorSlice& other, TensorSlice* result) const;
   // A short hand.

tensorflow/core/grappler/clusters/single_machine.cc

@@ -112,10 +112,10 @@ Status SingleMachine::Shutdown() {
   TF_RETURN_IF_ERROR(CloseSession(true /*use_timeout*/));
 
   // Delete the threadpool: this ensures that all the pending closures complete
-  // before we return. Note that if that if TF deadlocked on us, the closures
+  // before we return. Note that if TF deadlocked on us, the closures will
-  // will never complete, and the call to thread_pool_.reset() will never
+  // never complete, and the call to thread_pool_.reset() will never return:
-  // return: therefore we need to delete the threadpool with the background
+  // therefore we need to delete the threadpool with the background thread.
-  // thread. That thread itself will also never complete, so the user should
+  // That thread itself will also never complete, so the user should
   // abort the process to avoid leaking too many resources.
   auto n = std::make_shared<Notification>();
   Env::Default()->SchedClosure([this, n]() {

tensorflow/core/profiler/internal/tfprof_code.h

@@ -14,7 +14,7 @@ limitations under the License.
 ==============================================================================*/
 
 // Build a tree structure based on the TensorFlow model's python code stacks.
-// Stats are aggregated from descendants from ancestors.
+// Stats are aggregated from descendants to ancestors.
 
 #ifndef THIRD_PARTY_TENSORFLOW_CORE_PROFILER_INTERNAL_TFPROF_CODE_H_
 #define THIRD_PARTY_TENSORFLOW_CORE_PROFILER_INTERNAL_TFPROF_CODE_H_

tensorflow/core/profiler/internal/tfprof_scope.h

@@ -15,7 +15,7 @@ limitations under the License.
 
 // Build a tree structure based on the TensorFlow op names.
 // For example, 'name1/name2' is a child of 'name1'.
-// Stats are aggregated from descendants from ancestors.
+// Stats are aggregated from descendants to ancestors.
 
 #ifndef THIRD_PARTY_TENSORFLOW_CORE_PROFILER_INTERNAL_TFPROF_SCOPE_H_
 #define THIRD_PARTY_TENSORFLOW_CORE_PROFILER_INTERNAL_TFPROF_SCOPE_H_

tensorflow/python/layers/utils.py

@@ -198,7 +198,7 @@ def smart_cond(pred, fn1, fn2, name=None):
     Tensors returned by the call to either `fn1` or `fn2`.
 
   Raises:
-    TypeError is fn1 or fn2 is not callable.
+    TypeError: If `fn1` or `fn2` is not callable.
   """
   if not callable(fn1):
     raise TypeError('`fn1` must be callable.')
@@ -226,7 +226,7 @@ def constant_value(pred):
     True or False if `pred` has a constant boolean value, None otherwise.
 
   Raises:
-    TypeError is pred is not a Variable, Tensor or bool.
+    TypeError: If `pred` is not a Variable, Tensor or bool.
   """
   if isinstance(pred, bool):
     pred_value = pred

tensorflow/python/ops/distributions/util.py

@@ -750,7 +750,7 @@ def fill_lower_triangular(x, validate_args=False, name="fill_lower_triangular"):
     tril: `Tensor` with lower triangular elements filled from `x`.
 
   Raises:
-    ValueError: if shape if `x` has static shape which cannot be mapped to a
+    ValueError: if shape of `x` has static shape which cannot be mapped to a
       lower triangular matrix.
   """
   # TODO(jvdillon): Replace this code with dedicated op when it exists.