Fix some typos in official/.

official/vision/tasks/image_classification.py

@@ -218,7 +218,7 @@ class ImageClassificationTask(base_task.Task):
     """Does forward and backward.
 
     Args:
-      inputs: A tuple of of input tensors of (features, labels).
+      inputs: A tuple of input tensors of (features, labels).
       model: A tf.keras.Model instance.
       optimizer: The optimizer for this training step.
       metrics: A nested structure of metrics objects.
@@ -278,7 +278,7 @@ class ImageClassificationTask(base_task.Task):
     """Runs validatation step.
 
     Args:
-      inputs: A tuple of of input tensors of (features, labels).
+      inputs: A tuple of input tensors of (features, labels).
       model: A tf.keras.Model instance.
       metrics: A nested structure of metrics objects.
 

official/vision/utils/object_detection/balanced_positive_negative_sampler.py

@@ -64,7 +64,7 @@ class BalancedPositiveNegativeSampler(minibatch_sampler.MinibatchSampler):
       sorted_indices_tensor: A sorted int32 tensor of shape [N] which contains
         the signed indices of the examples where the sign is based on the label
         value. The examples that cannot be sampled are set to 0. It samples
-        atmost sample_size*positive_fraction positive examples and remaining
+        at most sample_size*positive_fraction positive examples and remaining
         from negative examples.
       sample_size: Size of subsamples.