follow comments

paddle/fluid/inference/tests/book/CMakeLists.txt

@@ -40,8 +40,9 @@ inference_test(recommender_system)
 inference_test(word2vec)
 
 # This is an unly work around to make this test run
+# TODO(TJ): clean me up
 cc_test(test_inference_nlp
   SRCS test_inference_nlp.cc
   DEPS paddle_fluid
   ARGS
-  --modelpath=${PADDLE_BINARY_DIR}/python/paddle/fluid/tests/book/recognize_digits_mlp.inference.model)
+  --model_path=${PADDLE_BINARY_DIR}/python/paddle/fluid/tests/book/recognize_digits_mlp.inference.model)

paddle/fluid/inference/tests/book/test_inference_nlp.cc

@@ -24,8 +24,8 @@ limitations under the License. */
 #include <omp.h>
 #endif
 
-DEFINE_string(modelpath, "", "Directory of the inference model.");
-DEFINE_string(datafile, "", "File of input index data.");
+DEFINE_string(model_path, "", "Directory of the inference model.");
+DEFINE_string(data_file, "", "File of input index data.");
 DEFINE_int32(repeat, 100, "Running the inference program repeat times");
 DEFINE_bool(use_mkldnn, false, "Use MKLDNN to run inference");
 DEFINE_bool(prepare_vars, true, "Prepare variables before executor");
@@ -65,6 +65,7 @@ size_t LoadData(std::vector<paddle::framework::LoDTensor>* out,
       ids.push_back(stoi(field));
     }
     if (ids.size() >= 1024) {
+      // Synced with NLP guys, they will ignore input larger then 1024
       continue;
     }
 
@@ -142,18 +143,18 @@ void ThreadRunInfer(
 }
 
 TEST(inference, nlp) {
-  if (FLAGS_modelpath.empty()) {
-    LOG(FATAL) << "Usage: ./example --modelpath=path/to/your/model";
+  if (FLAGS_model_path.empty()) {
+    LOG(FATAL) << "Usage: ./example --model_path=path/to/your/model";
   }
-  if (FLAGS_datafile.empty()) {
-    LOG(WARNING) << " Not data file provided, will use dummy data!"
+  if (FLAGS_data_file.empty()) {
+    LOG(WARNING) << "No data file provided, will use dummy data!"
                  << "Note: if you use nlp model, please provide data file.";
   }
-  LOG(INFO) << "Model Path: " << FLAGS_modelpath;
-  LOG(INFO) << "Data File: " << FLAGS_datafile;
+  LOG(INFO) << "Model Path: " << FLAGS_model_path;
+  LOG(INFO) << "Data File: " << FLAGS_data_file;
 
   std::vector<paddle::framework::LoDTensor> datasets;
-  size_t num_total_words = LoadData(&datasets, FLAGS_datafile);
+  size_t num_total_words = LoadData(&datasets, FLAGS_data_file);
   LOG(INFO) << "Number of samples (seq_len<1024): " << datasets.size();
   LOG(INFO) << "Total number of words: " << num_total_words;
 
@@ -168,7 +169,7 @@ TEST(inference, nlp) {
   // 2. Initialize the inference_program and load parameters
   std::unique_ptr<paddle::framework::ProgramDesc> inference_program;
   inference_program =
-      InitProgram(&executor, scope.get(), FLAGS_modelpath, model_combined);
+      InitProgram(&executor, scope.get(), FLAGS_model_path, model_combined);
   if (FLAGS_use_mkldnn) {
     EnableMKLDNN(inference_program);
   }