diff options
Diffstat (limited to 'tensorflow/python/training/input.py')
| -rw-r--r-- | tensorflow/python/training/input.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/python/training/input.py b/tensorflow/python/training/input.py index e9fe9215ae..1755167938 100644 --- a/tensorflow/python/training/input.py +++ b/tensorflow/python/training/input.py @@ -1085,7 +1085,7 @@ def maybe_batch_join(tensors_list, keep_input, batch_size, capacity=32, added to the queue or not. If it is a scalar and evaluates `True`, then `tensors` are all added to the queue. If it is a vector and `enqueue_many` is `True`, then each example is added to the queue only if the - corresonding value in `keep_input` is `True`. This tensor essentially acts + corresponding value in `keep_input` is `True`. This tensor essentially acts as a filtering mechanism. batch_size: An integer. The new batch size pulled from the queue. capacity: An integer. The maximum number of elements in the queue. @@ -1236,7 +1236,7 @@ def maybe_shuffle_batch(tensors, batch_size, capacity, min_after_dequeue, added to the queue or not. If it is a scalar and evaluates `True`, then `tensors` are all added to the queue. If it is a vector and `enqueue_many` is `True`, then each example is added to the queue only if the - corresonding value in `keep_input` is `True`. This tensor essentially acts + corresponding value in `keep_input` is `True`. This tensor essentially acts as a filtering mechanism. num_threads: The number of threads enqueuing `tensor_list`. seed: Seed for the random shuffling within the queue. @@ -1378,7 +1378,7 @@ def maybe_shuffle_batch_join(tensors_list, batch_size, capacity, added to the queue or not. If it is a scalar and evaluates `True`, then `tensors` are all added to the queue. If it is a vector and `enqueue_many` is `True`, then each example is added to the queue only if the - corresonding value in `keep_input` is `True`. This tensor essentially acts + corresponding value in `keep_input` is `True`. This tensor essentially acts as a filtering mechanism. seed: Seed for the random shuffling within the queue. enqueue_many: Whether each tensor in `tensor_list_list` is a single |