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author | Vinu Rajashekhar <vinuraja@google.com> | 2018-06-21 09:51:12 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-06-21 09:53:52 -0700 |
commit | 6eb9820f131448fcbb8a8cfc195a112dcb503fcc (patch) | |
tree | 2eda3a99c25f615b5b0af2b25d5ed479a98fd414 /tensorflow/contrib/batching | |
parent | d9867b89fbc632836ce8309fb29a23a0f3d18606 (diff) |
Removes some verbose debugging info left in the batch_function.
PiperOrigin-RevId: 201540390
Diffstat (limited to 'tensorflow/contrib/batching')
-rw-r--r-- | tensorflow/contrib/batching/python/ops/batch_ops.py | 4 |
1 files changed, 0 insertions, 4 deletions
diff --git a/tensorflow/contrib/batching/python/ops/batch_ops.py b/tensorflow/contrib/batching/python/ops/batch_ops.py index 012a51f711..47b80bdf4a 100644 --- a/tensorflow/contrib/batching/python/ops/batch_ops.py +++ b/tensorflow/contrib/batching/python/ops/batch_ops.py @@ -119,10 +119,6 @@ def batch_function(num_batch_threads, raise ValueError("All arguments to functions decorated with " "`batch_function` are supposed to be Tensors; " "found %s" % repr(a)) - for inp in computation.captured_inputs: - print("inp: %s" % inp) - for op in inp.consumers(): - print("op: %s" % op) return gen_batch_ops.batch_function( num_batch_threads=num_batch_threads, max_batch_size=max_batch_size, |