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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-04-26 16:01:00 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-04-26 16:04:28 -0700
commit04a5547817ad758cc7c32cd580335fd2e8a5e1e6 (patch)
tree757bae570b170c34438e4a1277a73509ba2f2a72 /tensorflow/contrib/lite/kernels/bidirectional_sequence_rnn_test.cc
parent3ab696e7e7e5c422acaa2fb2f3a938ce14effc9c (diff)
Internal change.
PiperOrigin-RevId: 194468535
Diffstat (limited to 'tensorflow/contrib/lite/kernels/bidirectional_sequence_rnn_test.cc')
-rw-r--r--tensorflow/contrib/lite/kernels/bidirectional_sequence_rnn_test.cc6
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/contrib/lite/kernels/bidirectional_sequence_rnn_test.cc b/tensorflow/contrib/lite/kernels/bidirectional_sequence_rnn_test.cc
index 12f4ff97cf..911b108eaa 100644
--- a/tensorflow/contrib/lite/kernels/bidirectional_sequence_rnn_test.cc
+++ b/tensorflow/contrib/lite/kernels/bidirectional_sequence_rnn_test.cc
@@ -161,7 +161,7 @@ static float rnn_golden_bw_output[] = {
0, 0, 1.86126, 0, 0.728256, 0.750013, 0.011861,
0.576383, 3.38891, 1.29273, 0};
-constexpr std::initializer_list<float> weights = {
+const std::initializer_list<float> weights = {
0.461459, 0.153381, 0.529743, -0.00371218, 0.676267, -0.211346,
0.317493, 0.969689, -0.343251, 0.186423, 0.398151, 0.152399,
0.448504, 0.317662, 0.523556, -0.323514, 0.480877, 0.333113,
@@ -628,12 +628,12 @@ static float golden_endtoend_output[] = {
-2.080307, 0.896140, -3.104050, 0.983158, -0.424898, -1.154270, -3.805728,
1.978917, -1.314387, 1.235096, -3.148906, 1.113173, 0.111713, 2.055213,
-7.565283, 2.100342};
-constexpr std::initializer_list<float> biases = {
+const std::initializer_list<float> biases = {
0.065691948, -0.69055247, 0.1107955, -0.97084129, -0.23957068, -0.23566568,
-0.389184, 0.47481549, -0.4791103, 0.29931796, 0.10463274, 0.83918178,
0.37197268, 0.61957061, 0.3956964, -0.37609905};
-constexpr std::initializer_list<float> recurrent_weights = {
+const std::initializer_list<float> recurrent_weights = {
0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,