test=release/1.0.0

paddle/fluid/inference/api/api_impl_tester.cc

@@ -21,6 +21,12 @@ limitations under the License. */
 #include "paddle/fluid/inference/api/api_impl.h"
 #include "paddle/fluid/inference/tests/test_helper.h"
 
+#ifdef __clang__
+#define ACC_DIFF 4e-3
+#else
+#define ACC_DIFF 1e-3
+#endif
+
 DEFINE_string(dirname, "", "Directory of the inference model.");
 
 namespace paddle {
@@ -99,8 +105,8 @@ void MainWord2Vec(bool use_gpu) {
 
   float* lod_data = output1.data<float>();
   for (int i = 0; i < output1.numel(); ++i) {
-    EXPECT_LT(lod_data[i] - data[i], 1e-3);
-    EXPECT_GT(lod_data[i] - data[i], -1e-3);
+    EXPECT_LT(lod_data[i] - data[i], ACC_DIFF);
+    EXPECT_GT(lod_data[i] - data[i], -ACC_DIFF);
   }
 }
 
@@ -144,7 +150,7 @@ void MainImageClassification(bool use_gpu) {
   float* data = static_cast<float*>(outputs[0].data.data());
   float* lod_data = output1.data<float>();
   for (size_t j = 0; j < len / sizeof(float); ++j) {
-    EXPECT_NEAR(lod_data[j], data[j], 1e-3);
+    EXPECT_NEAR(lod_data[j], data[j], ACC_DIFF);
   }
 }
 
@@ -199,7 +205,7 @@ void MainThreadsWord2Vec(bool use_gpu) {
       float* ref_data = refs[tid].data<float>();
       EXPECT_EQ(refs[tid].numel(), static_cast<int64_t>(len / sizeof(float)));
       for (int i = 0; i < refs[tid].numel(); ++i) {
-        EXPECT_NEAR(ref_data[i], data[i], 1e-3);
+        EXPECT_NEAR(ref_data[i], data[i], ACC_DIFF);
       }
     });
   }
@@ -251,7 +257,7 @@ void MainThreadsImageClassification(bool use_gpu) {
       float* ref_data = refs[tid].data<float>();
       EXPECT_EQ((size_t)refs[tid].numel(), len / sizeof(float));
       for (int i = 0; i < refs[tid].numel(); ++i) {
-        EXPECT_NEAR(ref_data[i], data[i], 1e-3);
+        EXPECT_NEAR(ref_data[i], data[i], ACC_DIFF);
       }
     });
   }