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-rw-r--r--tensorflow/contrib/distributions/python/ops/wishart.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/contrib/distributions/python/ops/wishart.py b/tensorflow/contrib/distributions/python/ops/wishart.py
index 91453fed5d..f555867e7f 100644
--- a/tensorflow/contrib/distributions/python/ops/wishart.py
+++ b/tensorflow/contrib/distributions/python/ops/wishart.py
@@ -107,7 +107,7 @@ class _WishartLinearOperator(distribution.Distribution):
ValueError: if df < k, where scale operator event shape is
`(k, k)`
"""
- parameters = locals()
+ parameters = distribution_util.parent_frame_arguments()
self._cholesky_input_output_matrices = cholesky_input_output_matrices
with ops.name_scope(name) as name:
with ops.name_scope("init", values=[df, scale_operator]):
@@ -530,7 +530,7 @@ class WishartCholesky(_WishartLinearOperator):
more of the statistic's batch members are undefined.
name: Python `str` name prefixed to Ops created by this class.
"""
- parameters = locals()
+ parameters = distribution_util.parent_frame_arguments()
with ops.name_scope(name, values=[scale]) as name:
with ops.name_scope("init", values=[scale]):
scale = ops.convert_to_tensor(scale)
@@ -646,7 +646,7 @@ class WishartFull(_WishartLinearOperator):
more of the statistic's batch members are undefined.
name: Python `str` name prefixed to Ops created by this class.
"""
- parameters = locals()
+ parameters = distribution_util.parent_frame_arguments()
with ops.name_scope(name) as name:
with ops.name_scope("init", values=[scale]):
scale = ops.convert_to_tensor(scale)