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authorGravatar Sourabh Bajaj <sourabhbajaj@google.com>2018-09-19 17:48:07 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-09-19 17:52:30 -0700
commit415455b0ef2d65504ab8c9084a6daa2899521212 (patch)
tree982e22160039f14d7c1b27ca2280501e875c89cd /tensorflow/contrib/tpu
parent37632e5f0f8b0776854746152a3a7b361414f2cc (diff)
Fix the error message thrown when running eval on pod
PiperOrigin-RevId: 213730668
Diffstat (limited to 'tensorflow/contrib/tpu')
-rw-r--r--tensorflow/contrib/tpu/python/tpu/tpu_context.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/tpu/python/tpu/tpu_context.py b/tensorflow/contrib/tpu/python/tpu/tpu_context.py
index 19359cb612..ac76712aeb 100644
--- a/tensorflow/contrib/tpu/python/tpu/tpu_context.py
+++ b/tensorflow/contrib/tpu/python/tpu/tpu_context.py
@@ -599,8 +599,8 @@ class _InternalTPUContext(object):
.format(self._eval_batch_size, num_replicas))
if num_hosts > 1 and not self.is_input_broadcast_with_iterators():
raise ValueError(
- 'TPUEstimator.evaluate should be running on single TPU worker. '
- 'got {}.'.format(num_hosts))
+ 'TPUEstimator.evaluate should be running on single TPU'
+ ' instead of a Pod.')
else:
assert mode == model_fn_lib.ModeKeys.PREDICT
if self._predict_batch_size is None: