【Error Message No.35 BUAA】Update error massage of test\cpp\inference\api\xpu_runtime_config_resnet50_test.cc & test\cpp\inference\test_helper.h & test\deprecated\cpp\inference\api\analyzer_vis_tester.cc (#66615)

Fripping · web-flow · commit bc6d2cffaf32 · 2024-08-01T10:23:15.000+08:00
* update error message

* update error message

* Delete test/cpp/inference/.ipynb_checkpoints directory

* Delete test/cpp/inference/api/.ipynb_checkpoints directory

* Delete test/cpp/eager/task_tests/.ipynb_checkpoints directory

* Delete test/deprecated/cpp/inference/api/.ipynb_checkpoints directory

* Update forward_autograd_test.cc

* update error massage

* update error message

* Delete test/cpp/inference/api/.ipynb_checkpoints directory

* update the error message

* Delete test/cpp/inference/.ipynb_checkpoints directory

* Delete test/cpp/inference/api/.ipynb_checkpoints directory

* Delete test/deprecated/cpp/inference/api/.ipynb_checkpoints directory
diff --git a/test/cpp/inference/api/xpu_runtime_config_resnet50_test.cc b/test/cpp/inference/api/xpu_runtime_config_resnet50_test.cc
@@ -15,6 +15,7 @@ limitations under the License. */
 #include <glog/logging.h>
 #include <gtest/gtest.h>
 #include <cmath>
+#include "paddle/common/enforce.h"
 #include "paddle/common/flags.h"
 #include "test/cpp/inference/api/tester_helper.h"
 #include "xpu/runtime.h"
@@ -86,7 +87,15 @@ TEST(resnet50_xpu, basic) {
   experimental::InternalUtils::RunWithRuntimeConfig(predictor##idx_.get(), \
                                                     &config_);             \
   CompareOutput(predictor##idx_);                                          \
-  CHECK_EQ(predictor##idx_->GetExecStream(), config_.stream);
+  PADDLE_ENFORCE_EQ(                                                       \
+      predictor##idx_->GetExecStream(),                                    \
+      config_.stream,                                                      \
+      phi::errors::InvalidArgument(                                        \
+          "predictor##idx_->GetExecStream() is not equal with"             \
+          "config_.stream while predictor##idx_->GetExecStream()"          \
+          "is %d and config_.stream is %d",                                \
+          predictor##idx_->GetExecStream(),                                \
+          config_.stream));
 
 TEST(runtime_stream, null_stream) {
   experimental::XpuRuntimeConfig xpu_runtime_config;
@@ -199,7 +208,11 @@ void RunPredictorWithRuntimeConfig(
   experimental::InternalUtils::RunWithRuntimeConfig(predictor.get(),
                                                     &runtime_config);
   CompareOutput(predictor);
-  CHECK_EQ(predictor->GetExecStream(), runtime_config.stream);
+  PADDLE_ENFORCE_EQ(predictor->GetExecStream(),
+                    runtime_config.stream,
+                    phi::errors::InvalidArgument(
+                        "predictor->GetExecStream() is not equal with"
+                        "runtime_config.stream"));
 }
 
 TEST(runtime_stream, 2_thread) {
diff --git a/test/cpp/inference/test_helper.h b/test/cpp/inference/test_helper.h
@@ -56,7 +56,13 @@ template <typename T>
 void SetupTensor(phi::DenseTensor* input,
                  phi::DDim dims,
                  const std::vector<T>& data) {
-  CHECK_EQ(common::product(dims), static_cast<int64_t>(data.size()));
+  PADDLE_ENFORCE_EQ(common::product(dims),
+                    static_cast<int64_t>(data.size()),
+                    phi::errors::InvalidArgument(
+                        "common::product(dims) and data.size() are not equal"
+                        "common::product(dims) is %d and data.size() is %d",
+                        common::product(dims),
+                        static_cast<int64_t>(data.size())));
   T* input_ptr = input->mutable_data<T>(dims, phi::CPUPlace());
   memcpy(input_ptr, data.data(), input->numel() * sizeof(T));
 }
@@ -77,7 +83,13 @@ void SetupLoDTensor(phi::DenseTensor* input,
                     const paddle::framework::LoD lod,
                     const std::vector<T>& data) {
   const size_t level = lod.size() - 1;
-  CHECK_EQ(dims[0], static_cast<int64_t>((lod[level]).back()));
+  PADDLE_ENFORCE_EQ(dims[0],
+                    static_cast<int64_t>((lod[level]).back()),
+                    phi::errors::InvalidArgument(
+                        "dims[0] is not equal with (lod[level]).back()"
+                        "while dims[0] is %d and (lod[level]).back() is %d",
+                        dims[0],
+                        static_cast<int64_t>((lod[level]).back())));
   input->set_lod(lod);
   SetupTensor<T>(input, dims, data);
 }
diff --git a/test/deprecated/cpp/inference/api/analyzer_vis_tester.cc b/test/deprecated/cpp/inference/api/analyzer_vis_tester.cc
@@ -33,8 +33,10 @@ Record ProcessALine(const std::string &line) {
   VLOG(3) << "process a line";
   std::vector<std::string> columns;
   split(line, '\t', &columns);
-  CHECK_EQ(columns.size(), 2UL)
-      << "data format error, should be <data>\t<shape>";
+  PADDLE_ENFORCE_EQ(columns.size(),
+                    2UL,
+                    phi::errors::InvalidArgument(
+                        "data format error, should be <data>\t<shape>"));
 
   Record record;
   std::vector<std::string> data_strs;
@@ -111,7 +113,13 @@ void profile(bool use_mkldnn = false) {
                           "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_ENFORCE_EQ(
+        numel,
+        refer.data.size(),
+        phi::errors::InvalidArgument(
+            "value of numel is wrong, expected %d but received %d",
+            refer.data.size(),
+            numel));
     for (size_t i = 0; i < numel; ++i) {
       EXPECT_NEAR(
           static_cast<float *>(output.data.data())[i], refer.data[i], 1e-5);
