diff options
Diffstat (limited to 'tensorflow/contrib/training/python/training/sequence_queueing_state_saver.py')
| -rw-r--r-- | tensorflow/contrib/training/python/training/sequence_queueing_state_saver.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/training/python/training/sequence_queueing_state_saver.py b/tensorflow/contrib/training/python/training/sequence_queueing_state_saver.py index 2c7c30911c..9312070e52 100644 --- a/tensorflow/contrib/training/python/training/sequence_queueing_state_saver.py +++ b/tensorflow/contrib/training/python/training/sequence_queueing_state_saver.py @@ -344,7 +344,7 @@ def _prepare_sequence_inputs(inputs, states): key = _check_rank(inputs.key, 0) if length.dtype != dtypes.int32: - raise TypeError("length dtype must be int32, but recieved: %s" % + raise TypeError("length dtype must be int32, but received: %s" % length.dtype) if key.dtype != dtypes.string: raise TypeError("key dtype must be string, but received: %s" % key.dtype) @@ -1673,7 +1673,7 @@ def _move_sparse_tensor_out_context(input_context, input_sequences, num_unroll): shape = array_ops.concat( [array_ops.expand_dims(value_length, 0), sp_tensor.dense_shape], 0) - # Construct new indices by mutliplying old ones and prepending [0, n). + # Construct new indices by multiplying old ones and prepending [0, n). # First multiply indices n times along a newly created 0-dimension. multiplied_indices = array_ops.tile( array_ops.expand_dims(sp_tensor.indices, 0), |