Add relative error measure when (value > 1) (#21144)

* Add relative error measure when value > 1
test=develop

* Move code to CheckError function
test=develop

paddle/fluid/inference/tests/api/tester_helper.h

@@ -92,6 +92,14 @@ void PrintConfig(const PaddlePredictor::Config *config, bool use_analysis) {
   LOG(INFO) << analysis_config->ToNativeConfig();
 }
 
+void CheckError(float data_ref, float data) {
+  if (std::abs(data_ref) > 1) {
+    CHECK_LE(std::abs((data_ref - data) / data_ref), FLAGS_accuracy);
+  } else {
+    CHECK_LE(std::abs(data_ref - data), FLAGS_accuracy);
+  }
+}
+
 // Compare result between two PaddleTensor
 void CompareResult(const std::vector<PaddleTensor> &outputs,
                    const std::vector<PaddleTensor> &ref_outputs) {
@@ -118,7 +126,7 @@ void CompareResult(const std::vector<PaddleTensor> &outputs,
         float *pdata = static_cast<float *>(out.data.data());
         float *pdata_ref = static_cast<float *>(ref_out.data.data());
         for (size_t j = 0; j < size; ++j) {
-          CHECK_LE(std::abs(pdata_ref[j] - pdata[j]), FLAGS_accuracy);
+          CheckError(pdata_ref[j], pdata[j]);
         }
         break;
       }
@@ -169,7 +177,7 @@ void CompareResult(const std::vector<PaddleTensor> &outputs,
         float *pdata_ref = ref_out.data<float>(&place, &ref_size);
         EXPECT_EQ(size, ref_size);
         for (size_t j = 0; j < size; ++j) {
-          CHECK_LE(std::abs(pdata_ref[j] - pdata[j]), FLAGS_accuracy);
+          CheckError(pdata_ref[j], pdata[j]);
         }
         break;
       }