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-rw-r--r--tensorflow/contrib/constrained_optimization/python/swap_regret_optimizer_test.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/contrib/constrained_optimization/python/swap_regret_optimizer_test.py b/tensorflow/contrib/constrained_optimization/python/swap_regret_optimizer_test.py
index 34c4543dca..df0eced631 100644
--- a/tensorflow/contrib/constrained_optimization/python/swap_regret_optimizer_test.py
+++ b/tensorflow/contrib/constrained_optimization/python/swap_regret_optimizer_test.py
@@ -97,7 +97,7 @@ class SwapRegretOptimizerTest(test.TestCase):
matrix1 = np.matrix([[0.6, 0.1, 0.1], [0.0, 0.6, 0.9], [0.4, 0.3, 0.0]])
matrix2 = np.matrix([[0.4, 0.4, 0.2], [0.2, 0.1, 0.5], [0.4, 0.5, 0.3]])
- with self.test_session() as session:
+ with self.cached_session() as session:
eigenvector1 = session.run(
swap_regret_optimizer._maximal_eigenvector_power_method(
standard_ops.constant(matrix1)))
@@ -119,7 +119,7 @@ class SwapRegretOptimizerTest(test.TestCase):
expected_projected_matrix = np.array([[0.6, 0.1, 0.1], [0.0, 0.6, 0.9],
[0.4, 0.3, 0.0]])
- with self.test_session() as session:
+ with self.cached_session() as session:
projected_matrix = session.run(
swap_regret_optimizer._project_stochastic_matrix_wrt_euclidean_norm(
matrix))
@@ -134,7 +134,7 @@ class SwapRegretOptimizerTest(test.TestCase):
expected_projected_matrix = np.array([[0.4, 0.4, 0.2], [0.2, 0.1, 0.5],
[0.4, 0.5, 0.3]])
- with self.test_session() as session:
+ with self.cached_session() as session:
projected_matrix = session.run(
standard_ops.exp(
swap_regret_optimizer.
@@ -165,7 +165,7 @@ class SwapRegretOptimizerTest(test.TestCase):
]
matrices = []
- with self.test_session() as session:
+ with self.cached_session() as session:
session.run(standard_ops.global_variables_initializer())
while len(matrices) < len(expected_matrices):
matrices.append(session.run(optimizer.stochastic_matrix))
@@ -198,7 +198,7 @@ class SwapRegretOptimizerTest(test.TestCase):
]
matrices = []
- with self.test_session() as session:
+ with self.cached_session() as session:
session.run(standard_ops.global_variables_initializer())
while len(matrices) < len(expected_matrices):
matrices.append(session.run(optimizer.stochastic_matrix))