Rename tests.

PiperOrigin-RevId: 177467740

2 files changed, 9 insertions, 9 deletions

diff --git a/tensorflow/contrib/lite/models/speech_terse_am_model_test.cc b/tensorflow/contrib/lite/models/speech_asr_am_model_test.cc
index 30d89a1354..bf95b313f3 100644
--- a/tensorflow/contrib/lite/models/speech_terse_am_model_test.cc
+++ b/tensorflow/contrib/lite/models/speech_asr_am_model_test.cc
@@ -12,7 +12,7 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
-// Unit test for speech TERSE AM model using TFLite Ops.
+// Unit test for speech ASR AM model using TFLite Ops.
 
 #include <string.h>
 
@@ -45,10 +45,10 @@ constexpr int kLstmLayer5OutputStateTensor = 103;
 constexpr int kLstmLayer5CellStateTensor = 104;
 constexpr int kModelOutputTensor = 109;
 
-TEST(SpeechTerseAm, RandomIOTest) {
+TEST(SpeechAsrAm, RandomIOTest) {
   // Read the model.
   string tflite_file_path =
-      file::JoinPath(TestDataPath(), "speech_terse_am_model.tflite");
+      file::JoinPath(TestDataPath(), "speech_asr_am_model.tflite");
   auto model = FlatBufferModel::BuildFromFile(tflite_file_path.c_str());
   CHECK(model) << "Failed to mmap model " << tflite_file_path;
 
@@ -62,13 +62,13 @@ TEST(SpeechTerseAm, RandomIOTest) {
   // Load the input frames.
   Frames input_frames;
   const string input_file_path =
-      file::JoinPath(TestDataPath(), "speech_terse_am_model_in.csv");
+      file::JoinPath(TestDataPath(), "speech_asr_am_model_in.csv");
   ReadFrames(input_file_path, &input_frames);
 
   // Load the golden output results.
   Frames output_frames;
   const string output_file_path =
-      file::JoinPath(TestDataPath(), "speech_terse_am_model_out.csv");
+      file::JoinPath(TestDataPath(), "speech_asr_am_model_out.csv");
   ReadFrames(output_file_path, &output_frames);
 
   const int speech_batch_size =
diff --git a/tensorflow/contrib/lite/models/speech_terse_lm_model_test.cc b/tensorflow/contrib/lite/models/speech_asr_lm_model_test.cc
index 04c54ffb22..53f2b66da4 100644
--- a/tensorflow/contrib/lite/models/speech_terse_lm_model_test.cc
+++ b/tensorflow/contrib/lite/models/speech_asr_lm_model_test.cc
@@ -59,10 +59,10 @@ static void ClearLstmStates(Interpreter* interpreter) {
          interpreter->tensor(kLstmLayer3CellStateTensor)->bytes);
 }
 
-TEST(SpeechTerseLm, EndToEndTest) {
+TEST(SpeechAsrLm, EndToEndTest) {
   // Read the model.
   string tflite_file_path =
-      file::JoinPath(TestDataPath(), "speech_terse_lm_model.tflite");
+      file::JoinPath(TestDataPath(), "speech_asr_lm_model.tflite");
   auto model = FlatBufferModel::BuildFromFile(tflite_file_path.c_str());
   CHECK(model) << "Failed to mmap model " << tflite_file_path;
 
@@ -76,13 +76,13 @@ TEST(SpeechTerseLm, EndToEndTest) {
   // Load the input frames.
   Frames input_frames;
   const string input_file_path =
-      file::JoinPath(TestDataPath(), "speech_terse_lm_model_in.csv");
+      file::JoinPath(TestDataPath(), "speech_asr_lm_model_in.csv");
   ReadFrames(input_file_path, &input_frames);
 
   // Load the golden output results.
   Frames output_frames;
   const string output_file_path =
-      file::JoinPath(TestDataPath(), "speech_terse_lm_model_out.csv");
+      file::JoinPath(TestDataPath(), "speech_asr_lm_model_out.csv");
   ReadFrames(output_file_path, &output_frames);
 
   CHECK_EQ(interpreter->tensor(kModelInput1Tensor)->dims->size, 1);