diff options
| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2018-06-05 07:54:24 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-06-05 07:58:42 -0700 |
| commit | c0dc76a3994c743151404b1401599fefb9f37dd4 (patch) | |
| tree | 6166840155c15a4c867a2b414372871f47d0b499 /tensorflow | |
| parent | 22a8c240d59a173ff3f17ffda05b521aa3f222de (diff) | |
Fix generated_zip_test failure caused by regex matching failures.
PiperOrigin-RevId: 199296333
Diffstat (limited to 'tensorflow')
| -rw-r--r-- | tensorflow/contrib/lite/testing/generated_examples_zip_test.cc | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/tensorflow/contrib/lite/testing/generated_examples_zip_test.cc b/tensorflow/contrib/lite/testing/generated_examples_zip_test.cc index 2f069ff8e7..e85020448a 100644 --- a/tensorflow/contrib/lite/testing/generated_examples_zip_test.cc +++ b/tensorflow/contrib/lite/testing/generated_examples_zip_test.cc @@ -48,7 +48,7 @@ tensorflow::Env* env = tensorflow::Env::Default(); // TODO(ahentz): make sure we clean this list up frequently. std::map<string, string> kBrokenTests = { // Add only supports float32. (and "constant" tests use Add) - {R"(^\/adda.*int32)", "68808744"}, + {R"(^\/add_a.*int32)", "68808744"}, {R"(^\/constant.*int32)", "68808744"}, {R"(^\/mul.*int32)", "68808744"}, {R"(^\/div.*int32)", "68808744"}, @@ -61,25 +61,25 @@ std::map<string, string> kBrokenTests = { "70527055"}, // L2Norm only supports tensors with 4D or fewer. - {R"(^\/l2normdim=.*,epsilon=.*,input_shape=\[.,.,.,.,.*\])", "67963684"}, + {R"(^\/l2norm_dim=.*,epsilon=.*,input_shape=\[.,.,.,.,.*\])", "67963684"}, // SpaceToBatchND only supports 4D tensors. {R"(^\/space_to_batch_nd.*input_shape=\[1,4,4,4,1,1\])", "70848787"}, // L2Norm only works for dim=-1. - {R"(^\/l2normdim=-2,epsilon=.*,input_shape=\[.,.\])", "67963812"}, - {R"(^\/l2normdim=0,epsilon=.*,input_shape=\[.,.\])", "67963812"}, - {R"(^\/l2normdim=-2,epsilon=.*,input_shape=\[3,15,14,3\])", "67963812"}, - {R"(^\/l2normdim=-2,epsilon=.*,input_shape=\[1,3,4,3\])", "67963812"}, - {R"(^\/l2normdim=2,epsilon=.*,input_shape=\[3,15,14,3\])", "67963812"}, - {R"(^\/l2normdim=2,epsilon=.*,input_shape=\[1,3,4,3\])", "67963812"}, - {R"(^\/l2normdim=0,epsilon=.*,input_shape=\[3,15,14,3\])", "67963812"}, - {R"(^\/l2normdim=0,epsilon=.*,input_shape=\[1,3,4,3\])", "67963812"}, - {R"(^\/l2normdim=1,epsilon=.*,input_shape=\[3,15,14,3\])", "67963812"}, - {R"(^\/l2normdim=1,epsilon=.*,input_shape=\[1,3,4,3\])", "67963812"}, - {R"(^\/l2normdim=\[2,3\],epsilon=.*,input_shape=\[3,15,14,3\])", + {R"(^\/l2norm_dim=-2,epsilon=.*,input_shape=\[.,.\])", "67963812"}, + {R"(^\/l2norm_dim=0,epsilon=.*,input_shape=\[.,.\])", "67963812"}, + {R"(^\/l2norm_dim=-2,epsilon=.*,input_shape=\[3,15,14,3\])", "67963812"}, + {R"(^\/l2norm_dim=-2,epsilon=.*,input_shape=\[1,3,4,3\])", "67963812"}, + {R"(^\/l2norm_dim=2,epsilon=.*,input_shape=\[3,15,14,3\])", "67963812"}, + {R"(^\/l2norm_dim=2,epsilon=.*,input_shape=\[1,3,4,3\])", "67963812"}, + {R"(^\/l2norm_dim=0,epsilon=.*,input_shape=\[3,15,14,3\])", "67963812"}, + {R"(^\/l2norm_dim=0,epsilon=.*,input_shape=\[1,3,4,3\])", "67963812"}, + {R"(^\/l2norm_dim=1,epsilon=.*,input_shape=\[3,15,14,3\])", "67963812"}, + {R"(^\/l2norm_dim=1,epsilon=.*,input_shape=\[1,3,4,3\])", "67963812"}, + {R"(^\/l2norm_dim=\[2,3\],epsilon=.*,input_shape=\[3,15,14,3\])", "67963812"}, - {R"(^\/l2normdim=\[2,3\],epsilon=.*,input_shape=\[1,3,4,3\])", "67963812"}, + {R"(^\/l2norm_dim=\[2,3\],epsilon=.*,input_shape=\[1,3,4,3\])", "67963812"}, // ResizeBilinear looks completely incompatible with Tensorflow {R"(^\/resize_bilinear.*dtype=tf.int32)", "72401107"}, |