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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-10-02 13:30:00 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-10-02 13:33:33 -0700
commit7b098f62f983738bbf048873b6ecac3b26d40d68 (patch)
treeaa506932bc0babe6c6b1e34c37185143bff5aaa4 /tensorflow/contrib/tensor_forest/python/tensor_forest.py
parentd86104fd3862b26d46fa1d37e0403c6ac32b56ab (diff)
Clarify expectations about the input_data parameter.
PiperOrigin-RevId: 170745215
Diffstat (limited to 'tensorflow/contrib/tensor_forest/python/tensor_forest.py')
-rw-r--r--tensorflow/contrib/tensor_forest/python/tensor_forest.py6
1 files changed, 5 insertions, 1 deletions
diff --git a/tensorflow/contrib/tensor_forest/python/tensor_forest.py b/tensorflow/contrib/tensor_forest/python/tensor_forest.py
index 756533250a..eb938763f1 100644
--- a/tensorflow/contrib/tensor_forest/python/tensor_forest.py
+++ b/tensorflow/contrib/tensor_forest/python/tensor_forest.py
@@ -470,7 +470,11 @@ class RandomForestGraphs(object):
"""Constructs a TF graph for evaluating a random forest.
Args:
- input_data: A tensor or dict of string->Tensor for input data.
+ input_data: A tensor or dict of string->Tensor for the input data.
+ This input_data must generate the same spec as the
+ input_data used in training_graph: the dict must have
+ the same keys, for example, and all tensors must have
+ the same size in their first dimension.
**inference_args: Keyword arguments to pass through to each tree.
Returns: