aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/cc/gradients
diff options
context:
space:
mode:
authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-09-21 21:52:39 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-09-21 22:00:24 -0700
commitabf90c9e0669039055bc1b0ae656e58d0a031d49 (patch)
treeaa202bb4869193d18bd8d7cafc8960d2c5d3d03c /tensorflow/cc/gradients
parent3a38f48a32f1190520b3647d99752c1d805ffb42 (diff)
Increase tolerance on nn_grad_test.
PiperOrigin-RevId: 169645639
Diffstat (limited to 'tensorflow/cc/gradients')
-rw-r--r--tensorflow/cc/gradients/nn_grad_test.cc6
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/cc/gradients/nn_grad_test.cc b/tensorflow/cc/gradients/nn_grad_test.cc
index 23545f75ac..156a070acf 100644
--- a/tensorflow/cc/gradients/nn_grad_test.cc
+++ b/tensorflow/cc/gradients/nn_grad_test.cc
@@ -36,7 +36,7 @@ class NNGradTest : public ::testing::Test {
float max_error;
TF_ASSERT_OK((ComputeGradientError<float, float, float>(
scope_, {x}, {x_shape}, {y}, {y_shape}, &max_error)));
- EXPECT_LT(max_error, 2e-4);
+ EXPECT_LT(max_error, 2.2e-4);
}
void RunTest(const Output& x, const Tensor& x_init_value, const Output& y,
@@ -44,7 +44,7 @@ class NNGradTest : public ::testing::Test {
float max_error;
TF_ASSERT_OK((ComputeGradientError<float, float, float>(
scope_, x, x_init_value, y, y_shape, &max_error)));
- EXPECT_LT(max_error, 2e-4);
+ EXPECT_LT(max_error, 2.2e-4);
}
void RunTest(const OutputList& xs, const std::vector<TensorShape>& x_shapes,
@@ -53,7 +53,7 @@ class NNGradTest : public ::testing::Test {
float max_error;
TF_ASSERT_OK((ComputeGradientError<float, float, float>(
scope_, xs, x_shapes, ys, y_shapes, &max_error)));
- EXPECT_LT(max_error, 2e-4);
+ EXPECT_LT(max_error, 2.2e-4);
}
Scope scope_;