error messages of inference/tests, test=develop (#27259)

paddle/fluid/inference/tests/api/analyzer_bert_tester.cc

@@ -245,8 +245,14 @@ TEST(Analyzer_bert, transfer_scope_cache) {
   // Since paddle::framework::global_transfer_scope_cache() and
   // paddle::framework::global_transfer_data_cache() are thread_local,
   // their pointer should be different among different thread id.
-  PADDLE_ENFORCE(global_transfer_scope_cache.size(), threads_num);
-  PADDLE_ENFORCE(global_transfer_data_cache.size(), threads_num);
+  PADDLE_ENFORCE_EQ(
+      global_transfer_scope_cache.size(), threads_num,
+      paddle::platform::errors::Fatal(
+          "The size of scope cache is not equal to thread number."));
+  PADDLE_ENFORCE_EQ(
+      global_transfer_data_cache.size(), threads_num,
+      paddle::platform::errors::Fatal(
+          "The size of data cache is not equal to thread number."));
 }
 
 }  // namespace inference

paddle/fluid/inference/tests/api/analyzer_capi_pd_tensor_tester.cc

@@ -69,11 +69,13 @@ void PD_run() {
   PD_DeletePaddleTensor(input);
   int size;
   const int* out_shape = PD_GetPaddleTensorShape(out_data, &size);
-  CHECK(size == 2) << "The Output shape's size is NOT match.";
+  PADDLE_ENFORCE_EQ(size, 2, paddle::platform::errors::InvalidArgument(
+                                 "The Output shape's size is NOT match."));
   std::vector<int> ref_outshape_size({9, 6});
   for (int i = 0; i < 2; ++i) {
-    CHECK(out_shape[i] == ref_outshape_size[i])
-        << "The Output's shape is NOT match.";
+    PADDLE_ENFORCE_EQ(out_shape[i], ref_outshape_size[i],
+                      paddle::platform::errors::InvalidArgument(
+                          "The Output shape's size is NOT match."));
   }
   PD_DeletePaddleBuf(buf);
 }

paddle/fluid/inference/tests/api/analyzer_capi_tester.cc

@@ -36,9 +36,9 @@ void zero_copy_run() {
   PD_SwitchIrDebug(config, true);
   PD_SetModel(config, prog_file.c_str(), params_file.c_str());
   bool use_feed_fetch = PD_UseFeedFetchOpsEnabled(config);
-  CHECK(!use_feed_fetch) << "NO";
+  EXPECT_FALSE(use_feed_fetch);
   bool specify_input_names = PD_SpecifyInputName(config);
-  CHECK(specify_input_names) << "NO";
+  EXPECT_TRUE(specify_input_names);
 
   const int batch_size = 1;
   const int channels = 3;
@@ -85,13 +85,13 @@ TEST(PD_AnalysisConfig, profile_mkldnn) {
   PD_SwitchIrDebug(config, true);
   PD_EnableMKLDNN(config);
   bool mkldnn_enable = PD_MkldnnEnabled(config);
-  CHECK(mkldnn_enable) << "NO";
+  EXPECT_TRUE(mkldnn_enable);
   PD_EnableMkldnnQuantizer(config);
   bool quantizer_enable = PD_MkldnnQuantizerEnabled(config);
-  CHECK(quantizer_enable) << "NO";
+  EXPECT_TRUE(quantizer_enable);
   PD_EnableMkldnnBfloat16(config);
   bool bfloat16_enable = PD_MkldnnBfloat16Enabled(config);
-  CHECK(bfloat16_enable) << "NO";
+  EXPECT_TRUE(bfloat16_enable);
   PD_SetMkldnnCacheCapacity(config, 0);
   PD_SetModel(config, prog_file.c_str(), params_file.c_str());
   PD_DeleteAnalysisConfig(config);

paddle/fluid/inference/tests/api/analyzer_dam_tester.cc

@@ -126,7 +126,9 @@ void PrepareInputs(std::vector<PaddleTensor> *input_slots, DataRecord *data,
   std::string turn_mask_pre = "turn_mask_";
 
   auto one_batch = data->NextBatch();
-  PADDLE_ENFORCE(!one_batch.response.empty());
+  PADDLE_ENFORCE(
+      !one_batch.response.empty(),
+      paddle::platform::errors::Fatal("The response of one batch is empty."));
   int size = one_batch.response[0].size();
   CHECK_EQ(size, kMaxTurnLen);
   // turn tensor assignment
@@ -214,11 +216,17 @@ void profile(bool use_mkldnn = false) {
                  input_slots_all, &outputs, FLAGS_num_threads);
 
   if (FLAGS_num_threads == 1 && !FLAGS_test_all_data) {
-    PADDLE_ENFORCE_GT(outputs.size(), 0);
+    PADDLE_ENFORCE_GT(outputs.size(), 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of outputs should be greater than 0."));
     auto output = outputs.back();
-    PADDLE_ENFORCE_GT(output.size(), 0);
+    PADDLE_ENFORCE_GT(output.size(), 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     size_t size = GetSize(output[0]);
-    PADDLE_ENFORCE_GT(size, 0);
+    PADDLE_ENFORCE_GT(size, 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     float *result = static_cast<float *>(output[0].data.data());
     for (size_t i = 0; i < size; i++) {
       EXPECT_NEAR(result[i], result_data[i], 1e-3);

paddle/fluid/inference/tests/api/analyzer_int8_object_detection_tester.cc

@@ -146,8 +146,9 @@ std::shared_ptr<std::vector<PaddleTensor>> GetWarmupData(
   auto iterations = test_data.size();
   PADDLE_ENFORCE_LE(
       static_cast<size_t>(num_images), iterations * test_data_batch_size,
-      "The requested quantization warmup data size " +
-          std::to_string(num_images) + " is bigger than all test data size.");
+      paddle::platform::errors::Fatal(
+          "The requested quantization warmup data size " +
+          std::to_string(num_images) + " is bigger than all test data size."));
 
   PaddleTensor images;
   images.name = "image";
@@ -237,8 +238,9 @@ std::shared_ptr<std::vector<PaddleTensor>> GetWarmupData(
   }
   PADDLE_ENFORCE_EQ(
       static_cast<size_t>(num_objects), static_cast<size_t>(objects_accum),
-      "The requested num of objects " + std::to_string(num_objects) +
-          " is the same as objects_accum.");
+      paddle::platform::errors::Fatal("The requested num of objects " +
+                                      std::to_string(num_objects) +
+                                      " is the same as objects_accum."));
 
   auto warmup_data = std::make_shared<std::vector<PaddleTensor>>(4);
   (*warmup_data)[0] = std::move(images);

paddle/fluid/inference/tests/api/analyzer_lac_tester.cc

@@ -98,7 +98,9 @@ void GetOneBatch(std::vector<PaddleTensor> *input_slots, DataRecord *data,
   input_tensor.name = "word";
   input_tensor.dtype = PaddleDType::INT64;
   TensorAssignData<int64_t>(&input_tensor, {one_batch.data}, one_batch.lod);
-  PADDLE_ENFORCE_EQ(batch_size, static_cast<int>(one_batch.lod.size() - 1));
+  PADDLE_ENFORCE_EQ(
+      batch_size, static_cast<int>(one_batch.lod.size() - 1),
+      paddle::platform::errors::Fatal("The lod size of one batch is invaild."));
   input_slots->assign({input_tensor});
 }
 
@@ -137,12 +139,17 @@ TEST(Analyzer_LAC, profile) {
         24, 25, 25, 25, 38, 30, 31, 14, 15, 44, 24, 25, 25, 25, 25, 25,
         44, 24, 25, 25, 25, 36, 42, 43, 44, 14, 15, 44, 14, 15, 44, 14,
         15, 44, 38, 39, 14, 15, 44, 22, 23, 23, 23, 23, 23, 23, 23};
-    PADDLE_ENFORCE_GT(outputs.size(), 0);
+    PADDLE_ENFORCE_GT(outputs.size(), 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     auto output = outputs.back();
-    PADDLE_ENFORCE_EQ(output.size(), 1UL);
+    PADDLE_ENFORCE_EQ(output.size(), 1UL,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be equal to 1."));
     size_t size = GetSize(output[0]);
     size_t batch1_size = sizeof(lac_ref_data) / sizeof(int64_t);
-    PADDLE_ENFORCE_GE(size, batch1_size);
+    PADDLE_ENFORCE_GE(size, batch1_size, paddle::platform::errors::Fatal(
+                                             "The size of batch is invaild."));
     int64_t *pdata = static_cast<int64_t *>(output[0].data.data());
     for (size_t i = 0; i < batch1_size; ++i) {
       EXPECT_EQ(pdata[i], lac_ref_data[i]);

paddle/fluid/inference/tests/api/analyzer_ner_tester.cc

@@ -117,11 +117,17 @@ void profile(bool memory_load = false) {
     // the first inference result
     const int chinese_ner_result_data[] = {30, 45, 41, 48, 17, 26,
                                            48, 39, 38, 16, 25};
-    PADDLE_ENFORCE_GT(outputs.size(), 0);
+    PADDLE_ENFORCE_GT(outputs.size(), 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     auto output = outputs.back();
-    PADDLE_ENFORCE_EQ(output.size(), 1UL);
+    PADDLE_ENFORCE_EQ(output.size(), 1UL,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be equal to 1."));
     size_t size = GetSize(output[0]);
-    PADDLE_ENFORCE_GT(size, 0);
+    PADDLE_ENFORCE_GT(size, 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     int64_t *result = static_cast<int64_t *>(output[0].data.data());
     for (size_t i = 0; i < std::min<size_t>(11, size); i++) {
       EXPECT_EQ(result[i], chinese_ner_result_data[i]);

paddle/fluid/inference/tests/api/analyzer_pyramid_dnn_tester.cc

@@ -136,11 +136,17 @@ TEST(Analyzer_Pyramid_DNN, profile) {
                  input_slots_all, &outputs, FLAGS_num_threads);
 
   if (FLAGS_num_threads == 1 && !FLAGS_test_all_data && !FLAGS_zero_copy) {
-    PADDLE_ENFORCE_GT(outputs.size(), 0);
+    PADDLE_ENFORCE_GT(outputs.size(), 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     auto output = outputs.back();
-    PADDLE_ENFORCE_EQ(output.size(), 1UL);
+    PADDLE_ENFORCE_EQ(output.size(), 1UL,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be equal to 1."));
     size_t size = GetSize(output[0]);
-    PADDLE_ENFORCE_GT(size, 0);
+    PADDLE_ENFORCE_GT(size, 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     float *result = static_cast<float *>(output[0].data.data());
     // output is probability, which is in (0, 1).
     for (size_t i = 0; i < size; i++) {

paddle/fluid/inference/tests/api/analyzer_rnn2_tester.cc

@@ -135,11 +135,17 @@ TEST(Analyzer_rnn2, profile) {
 
   if (FLAGS_num_threads == 1 && !FLAGS_test_all_data) {
     // the first inference result
-    PADDLE_ENFORCE_GT(outputs.size(), 0);
+    PADDLE_ENFORCE_GT(outputs.size(), 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     auto output = outputs.back();
-    PADDLE_ENFORCE_GT(output.size(), 0);
+    PADDLE_ENFORCE_GT(output.size(), 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     size_t size = GetSize(output[0]);
-    PADDLE_ENFORCE_GT(size, 0);
+    PADDLE_ENFORCE_GT(size, 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     float *result = static_cast<float *>(output[0].data.data());
     for (size_t i = 0; i < size; i++) {
       EXPECT_NEAR(result[i], result_data[i], 1e-3);

paddle/fluid/inference/tests/api/analyzer_seq_conv1_tester.cc

@@ -47,7 +47,8 @@ struct DataRecord {
       num_lines++;
       std::vector<std::string> data;
       split(line, '\t', &data);
-      PADDLE_ENFORCE(data.size() >= 4);
+      PADDLE_ENFORCE_GT(data.size(), 4, paddle::platform::errors::Fatal(
+                                            "The size of data is invaild."));
       // load title1 data
       std::vector<int64_t> title1_data;
       split_to_int64(data[0], ' ', &title1_data);
@@ -120,11 +121,17 @@ TEST(Analyzer_seq_conv1, profile) {
 
   if (FLAGS_num_threads == 1 && !FLAGS_test_all_data) {
     // the first inference result
-    PADDLE_ENFORCE_GT(outputs.size(), 0);
+    PADDLE_ENFORCE_GT(outputs.size(), 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     auto output = outputs.back();
-    PADDLE_ENFORCE_EQ(output.size(), 1UL);
+    PADDLE_ENFORCE_EQ(output.size(), 1UL,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be equal to 0."));
     size_t size = GetSize(output[0]);
-    PADDLE_ENFORCE_GT(size, 0);
+    PADDLE_ENFORCE_GT(size, 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     float *result = static_cast<float *>(output[0].data.data());
     // output is probability, which is in (0, 1).
     for (size_t i = 0; i < size; i++) {

paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester.cc

@@ -56,20 +56,26 @@ struct DataRecord {
       std::vector<float> slot_data;
       split_to_float(data[1], ' ', &slot_data);
       std::string name = data[0];
-      PADDLE_ENFORCE_EQ(slot_data.size() % 11, 0UL,
-                        "line %d, %s should be divisible", num_lines, name);
+      PADDLE_ENFORCE_EQ(
+          slot_data.size() % 11, 0UL,
+          paddle::platform::errors::Fatal("line %d, %s should be divisible",
+                                          num_lines, name));
       datasets[name].emplace_back(std::move(slot_data));
     }
     num_samples = num_lines / num_slots;
-    PADDLE_ENFORCE_EQ(num_samples * num_slots, static_cast<size_t>(num_lines),
-                      "num samples should be divisible");
-    PADDLE_ENFORCE_GT(num_samples, 0UL);
+    PADDLE_ENFORCE_EQ(
+        num_samples * num_slots, static_cast<size_t>(num_lines),
+        paddle::platform::errors::Fatal("num samples should be divisible"));
+    PADDLE_ENFORCE_GT(num_samples, 0UL,
+                      paddle::platform::errors::Fatal(
+                          "The num of samples should be greater than 0."));
   }
 
   void Prepare(int bs) {
     for (auto it = datasets.begin(); it != datasets.end(); ++it) {
-      PADDLE_ENFORCE_EQ(it->second.size(), num_samples,
-                        "size of each slot should be equal");
+      PADDLE_ENFORCE_EQ(
+          it->second.size(), num_samples,
+          paddle::platform::errors::Fatal("size of each slot should be equal"));
     }
     size_t num_batches = num_samples / bs;
     EXPECT_GT(num_batches, 0UL);
@@ -90,8 +96,10 @@ struct DataRecord {
           std::copy(datas[id].begin(), datas[id].end(),
                     std::back_inserter(slot.data[k]));
           size_t len = datas[id].size() / 11;
-          PADDLE_ENFORCE_EQ(len * 11, datas[id].size(),
-                            "%s %d size should be divisible", slot.name, id);
+          PADDLE_ENFORCE_EQ(
+              len * 11, datas[id].size(),
+              paddle::platform::errors::Fatal("%s %d size should be divisible",
+                                              slot.name, id));
           lod[k + 1] = lod[k] + len;
         }
         slot.shape.assign({static_cast<int>(lod[bs]), 11});

paddle/fluid/inference/tests/api/analyzer_text_classification_tester.cc

@@ -22,7 +22,9 @@ struct DataReader {
       : file(new std::ifstream(path)) {}
 
   bool NextBatch(std::vector<PaddleTensor> *input, int batch_size) {
-    PADDLE_ENFORCE_EQ(batch_size, 1);
+    PADDLE_ENFORCE_EQ(batch_size, 1,
+                      paddle::platform::errors::Fatal(
+                          "The size of batch should be equal to 1."));
     std::string line;
     PaddleTensor tensor;
     tensor.dtype = PaddleDType::INT64;
@@ -81,7 +83,9 @@ TEST(Analyzer_Text_Classification, profile) {
 
   if (FLAGS_num_threads == 1) {
     // Get output
-    PADDLE_ENFORCE_GT(outputs.size(), 0);
+    PADDLE_ENFORCE_GT(outputs.size(), 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     LOG(INFO) << "get outputs " << outputs.back().size();
     for (auto &output : outputs.back()) {
       LOG(INFO) << "output.shape: " << to_string(output.shape);

paddle/fluid/inference/tests/api/analyzer_vis_tester.cc

@@ -59,7 +59,9 @@ void SetConfig(AnalysisConfig *cfg) {
 }
 
 void SetInput(std::vector<std::vector<PaddleTensor>> *inputs) {
-  PADDLE_ENFORCE_EQ(FLAGS_test_all_data, 0, "Only have single batch of data.");
+  PADDLE_ENFORCE_EQ(
+      FLAGS_test_all_data, 0,
+      paddle::platform::errors::Fatal("Only have single batch of data."));
   std::string line;
   std::ifstream file(FLAGS_infer_data);
   std::getline(file, line);
@@ -99,7 +101,9 @@ void profile(bool use_mkldnn = false) {
     auto refer = ProcessALine(line);
     file.close();
 
-    PADDLE_ENFORCE_GT(outputs.size(), 0);
+    PADDLE_ENFORCE_GT(outputs.size(), 0,
+                      paddle::platform::errors::Fatal(
+                          "The size of output should be greater than 0."));
     auto &output = outputs.back().front();
     size_t numel = output.data.length() / PaddleDtypeSize(output.dtype);
     CHECK_EQ(numel, refer.data.size());

paddle/fluid/inference/tests/test_helper.h

@@ -21,6 +21,7 @@ limitations under the License. */
 
 #include "paddle/fluid/framework/lod_tensor.h"
 #include "paddle/fluid/inference/io.h"
+#include "paddle/fluid/platform/errors.h"
 #include "paddle/fluid/platform/port.h"
 #include "paddle/fluid/platform/profiler.h"