Merge pull request #13110 from taehoonlee/fix_typos

Fix typos

tensorflow/contrib/labeled_tensor/python/ops/core.py

@@ -278,7 +278,7 @@ class LabeledTensor(object):
   @tc.accepts(object, ops.Tensor,
               tc.Union(Axes, tc.Collection(tc.Union(string_types, AxisLike))))
   def __init__(self, tensor, axes):
-    """Construct a LabeledTenor.
+    """Construct a LabeledTensor.
 
     Args:
       tensor: The underlying tensor containing the data.

tensorflow/core/framework/tensor.cc

@@ -451,7 +451,7 @@ Buffer<T>::~Buffer() {
 // default value for T.
 //
 // This routine is using the typed fields (float_val, etc.) in the
-// tenor proto as opposed to the untyped binary representation
+// tensor proto as opposed to the untyped binary representation
 // (tensor_content). This is used when we expect the TensorProto is
 // used by a client program which may not know how to encode a tensor
 // in the compact binary representation.

tensorflow/core/grappler/clusters/single_machine.cc

@@ -282,7 +282,7 @@ Status SingleMachine::ResetSession() {
     // Make sure the session is properly closed
     TF_RETURN_IF_ERROR(Shutdown());
 
-    // Destroying the object deletes all its varibles as well. This is only true
+    // Destroying the object deletes all its variables as well. This is only true
     // for DirectSession.
     session_.reset();
   }

tensorflow/core/kernels/pooling_ops_3d_sycl.h

@@ -213,7 +213,7 @@ struct LaunchPoolingOp<SYCLDevice, T, MAX> {
   }
 };
 // MaxPool3DGrad SYCL kernel. Expects the number of threads to be equal to the
-// number of elements in the output backprop tenor (i.e. the number of elements
+// number of elements in the output backprop tensor (i.e. the number of elements
 // in the input data tensor).
 //
 // For each output backprop element we compute the possible window of values in

tensorflow/python/keras/_impl/keras/backend.py

@@ -2889,7 +2889,7 @@ def elu(x, alpha=1.):
   """Exponential linear unit.
 
   Arguments:
-      x: A tenor or variable to compute the activation function for.
+      x: A tensor or variable to compute the activation function for.
       alpha: A scalar, slope of positive section.
 
   Returns:

tensorflow/tools/docker/notebooks/3_mnist_from_scratch.ipynb

@@ -1256,7 +1256,7 @@
     "  \n",
     "But, here, we'll want to keep the session open so we can poke at values as we work out the details of training. The TensorFlow API includes a function for this, `InteractiveSession`.\n",
     "\n",
-    "We'll start by creating a session and initializing the varibles we defined above."
+    "We'll start by creating a session and initializing the variables we defined above."
    ]
   },
   {