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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-07-10 15:03:23 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-07-10 15:18:01 -0700
commita1a66fd4db9dfef370c89528ff98c9b6bb2753f9 (patch)
tree3ded3eb42eb1cfde61cd93dc655e8d8d01f5d92a /tensorflow/python/estimator/canned
parent0e75ab944932e562c387ffca2e19bd347ca63882 (diff)
Fixing distributed version when not centering bias.
PiperOrigin-RevId: 204019142
Diffstat (limited to 'tensorflow/python/estimator/canned')
-rw-r--r--tensorflow/python/estimator/canned/boosted_trees.py4
1 files changed, 4 insertions, 0 deletions
diff --git a/tensorflow/python/estimator/canned/boosted_trees.py b/tensorflow/python/estimator/canned/boosted_trees.py
index a22e9745c1..3c832c7569 100644
--- a/tensorflow/python/estimator/canned/boosted_trees.py
+++ b/tensorflow/python/estimator/canned/boosted_trees.py
@@ -669,6 +669,8 @@ def _bt_model_fn(
name='wait_until_n_batches_for_bias_accumulated')
return center_bias_op
+ else:
+ return control_flow_ops.no_op()
def grow_not_in_mem():
"""Accumulates the data and grows a layer when ready."""
@@ -715,6 +717,8 @@ def _bt_model_fn(
name='wait_until_n_batches_accumulated')
return grow_model
+ else:
+ return control_flow_ops.no_op()
update_model = control_flow_ops.cond(
center_bias_var, center_bias_not_in_mem, grow_not_in_mem)