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authorGravatar Martin Wicke <577277+martinwicke@users.noreply.github.com>2018-09-21 12:45:18 -0700
committerGravatar GitHub <noreply@github.com>2018-09-21 12:45:18 -0700
commitadb5d74f52917d00e9a779a74f0e0a4e5ca22ca4 (patch)
tree9324e795405197643929061502c938138d0fba07 /tensorflow/python/data
parenteffced8f591441e0706377e2b31debb96ee9203d (diff)
Fix lint errors
Diffstat (limited to 'tensorflow/python/data')
-rw-r--r--tensorflow/python/data/ops/dataset_ops.py8
1 files changed, 5 insertions, 3 deletions
diff --git a/tensorflow/python/data/ops/dataset_ops.py b/tensorflow/python/data/ops/dataset_ops.py
index 1b9ea2ed08..28a36bfb32 100644
--- a/tensorflow/python/data/ops/dataset_ops.py
+++ b/tensorflow/python/data/ops/dataset_ops.py
@@ -1009,8 +1009,9 @@ class Dataset(object):
def flat_map(self, map_func):
"""Maps `map_func` across this dataset and flattens the result.
- Use `flat_map` if you want to make sure, that the order of your dataset stays the same.
- For example, to flatten a dataset of batches into a dataset of their elements:
+ Use `flat_map` if you want to make sure that the order of your dataset
+ stays the same. For example, to flatten a dataset of batches into a
+ dataset of their elements:
```python
# NOTE: The following examples use `{ ... }` to represent the
@@ -1022,7 +1023,8 @@ class Dataset(object):
```
`tf.data.Dataset.interleave()` is a generalization of `flat_map`, since
- `flat_map` produces the same output as `tf.data.Dataset.interleave(cycle_length=1)`
+ `flat_map` produces the same output as
+ `tf.data.Dataset.interleave(cycle_length=1)`
Args:
map_func: A function mapping a nested structure of tensors (having shapes