Cherry-pick error type support for release1.6 (#21294)

* delete paddle infershape enforce marco (#20832)

* Polish and arrange code in enforce.h (#20901)

* Enrich the type of error and declare the error type interfaces (#21024)

* Enrich the type of error and declare the error type interfaces, test=develop

* adjust tests to adapt new form, test=develop

* add inference deps with error_codes.pb.h, test=develop

* restore stack iter start pos, test=develop

* polish code based review comments, test=develop

* Add dependency for error_codes.proto (#21084)

* fix activation_functions deps, test=develop, test=document_fix

* add error_codes_proto deps, test=develop, test=document_fix

* try delete enforce.h, test=develop, test=document_fix

* change cuda enforce & add example (#21142)
test=release/1.6

cmake/inference_lib.cmake

@@ -223,8 +223,8 @@ set(module "platform")
 set(platform_lib_deps profiler_proto)
 add_dependencies(fluid_lib_dist ${platform_lib_deps})
 copy(fluid_lib_dist
-        SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/dynload/*.h ${src_dir}/${module}/details/*.h ${PADDLE_BINARY_DIR}/paddle/fluid/platform/profiler.pb.h
-        DSTS ${dst_dir}/${module} ${dst_dir}/${module}/dynload ${dst_dir}/${module}/details ${dst_dir}/${module}
+        SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/dynload/*.h ${src_dir}/${module}/details/*.h ${PADDLE_BINARY_DIR}/paddle/fluid/platform/profiler.pb.h ${PADDLE_BINARY_DIR}/paddle/fluid/platform/error_codes.pb.h
+        DSTS ${dst_dir}/${module} ${dst_dir}/${module}/dynload ${dst_dir}/${module}/details ${dst_dir}/${module} ${dst_dir}/${module}
         )
 
 set(module "string")

paddle/fluid/framework/tensor_test.cc

@@ -39,8 +39,8 @@ TEST(Tensor, DataAssert) {
   } catch (platform::EnforceNotMet& err) {
     caught = true;
     std::string ex_msg = err.what();
-    EXPECT_TRUE(ex_msg.find("holder_ should not be null\nTensor holds no "
-                            "memory. Call "
+    EXPECT_TRUE(ex_msg.find("holder_ should not be null") != std::string::npos);
+    EXPECT_TRUE(ex_msg.find("Tensor holds no memory. Call "
                             "Tensor::mutable_data first.") !=
                 std::string::npos);
   }
@@ -154,8 +154,9 @@ TEST(Tensor, ShareDataWith) {
     } catch (paddle::platform::EnforceNotMet& err) {
       caught = true;
       std::string ex_msg = err.what();
-      EXPECT_TRUE(ex_msg.find("holder_ should not be null\nTensor holds no "
-                              "memory. Call "
+      EXPECT_TRUE(ex_msg.find("holder_ should not be null") !=
+                  std::string::npos);
+      EXPECT_TRUE(ex_msg.find("Tensor holds no memory. Call "
                               "Tensor::mutable_data first.") !=
                   std::string::npos);
     }

paddle/fluid/memory/allocation/cuda_device_context_allocator.h

@@ -81,7 +81,8 @@ class CUDADeviceContextAllocator : public Allocator {
     platform::CUDADeviceGuard guard(place_.device);
     PADDLE_ENFORCE_CUDA_SUCCESS(
         cudaEventCreate(&event_, cudaEventDisableTiming),
-        "Create event failed in CUDADeviceContextAllocator");
+        platform::errors::External(
+            "Create event failed in CUDADeviceContextAllocator"));
   }
 
   ~CUDADeviceContextAllocator() {

paddle/fluid/operators/linear_chain_crf_op.cc

@@ -184,30 +184,34 @@ class LinearChainCRFOp : public framework::OperatorWithKernel {
           true,
           "The Input(Label) should be a 3-D tensor with last "
           "dimension fixed to 1 or a 2-D tensor in padding mode.");
-      PADDLE_INFERSHAPE_ENFORCE_EQ(
-          ctx, emission_dims[0], label_dims[0],
-          "The batch size of Input(Emission) and Input(Label) "
-          "should be the same.");
-      PADDLE_INFERSHAPE_ENFORCE_EQ(
-          ctx, emission_dims[1], label_dims[1],
-          "The max length of Input(Emission) and Input(Label) "
-          "should be the same.");
+      if (ctx->IsRuntime()) {
+        PADDLE_ENFORCE_EQ(emission_dims[0], label_dims[0],
+                          "The batch size of Input(Emission) and Input(Label) "
+                          "should be the same.");
+        PADDLE_ENFORCE_EQ(emission_dims[1], label_dims[1],
+                          "The max length of Input(Emission) and Input(Label) "
+                          "should be the same.");
+      }
     } else {
       PADDLE_ENFORCE_EQ(emission_dims.size(), 2,
                         "The Input(Emission) should be a 2-D tensor.");
-      PADDLE_INFERSHAPE_ENFORCE_EQ(
-          ctx, emission_dims[1], transition_dims[1],
-          "The 2nd dimension of the Input(Emission) and the Input(Transition) "
-          "should be equal to the tag number.");
+      if (ctx->IsRuntime()) {
+        PADDLE_ENFORCE_EQ(emission_dims[1], transition_dims[1],
+                          "The 2nd dimension of the Input(Emission) and the "
+                          "Input(Transition) "
+                          "should be equal to the tag number.");
+      }
 
       auto label_dims = ctx->GetInputDim("Label");
       PADDLE_ENFORCE_EQ(label_dims.size(), 2,
                         "The Input(Label) should be a 2-D tensor with the 2nd "
                         "dimensions fixed to 1.");
-      PADDLE_INFERSHAPE_ENFORCE_EQ(
-          ctx, emission_dims[0], label_dims[0],
-          "The height of Input(Emission) and the height of Input(Label) "
-          "should be the same.");
+      if (ctx->IsRuntime()) {
+        PADDLE_ENFORCE_EQ(
+            emission_dims[0], label_dims[0],
+            "The height of Input(Emission) and the height of Input(Label) "
+            "should be the same.");
+      }
     }
     ctx->SetOutputDim("Alpha", emission_dims);
     ctx->SetOutputDim("EmissionExps", emission_dims);

paddle/fluid/operators/math/detail/activation_functions.h

@@ -14,9 +14,9 @@ limitations under the License. */
 
 #pragma once
 #include <math.h>
+#include <stdexcept>
 #include <string>
 #include "paddle/fluid/platform/cpu_info.h"
-#include "paddle/fluid/platform/enforce.h"
 #include "paddle/fluid/platform/hostdevice.h"
 
 namespace paddle {
@@ -45,7 +45,7 @@ inline ActivationType GetActivationType(const std::string &type) {
   } else if (type == "identity" || type == "") {
     return ActivationType::kIdentity;
   }
-  PADDLE_THROW("Not support type %s.", type);
+  throw std::invalid_argument("The input type is not supported");
 }
 
 namespace forward {

paddle/fluid/operators/metrics/accuracy_op.cc

@@ -45,19 +45,20 @@ class AccuracyOp : public framework::OperatorWithKernel {
         "ShapeError: label's dimensions of AccuracyOp must be 2. "
         "But received label's dimensions = %d, label's shape = [%s]",
         label_dim.size(), label_dim);
-    PADDLE_INFERSHAPE_ENFORCE_EQ(
-        ctx, label_dim[1], 1,
-        "ShapeError: label's second dimension of "
-        "AccuracyOp must be 1. But received label's "
-        "second dimension is = %d, label's shape = [%s]",
-        label_dim[1], label_dim);
-    PADDLE_INFERSHAPE_ENFORCE_EQ(
-        ctx, inference_dim[0], label_dim[0],
-        "ShapeError: the output's num_rows of AccuracyOp must be"
-        " the same as label's num_rows. But received output's "
-        "shape = [%s], label's shape = [%s], output's num_rows = %d, label's "
-        "num_rows = %d",
-        inference_dim, label_dim, inference_dim[0], label_dim[0]);
+    if (ctx->IsRuntime()) {
+      PADDLE_ENFORCE_EQ(label_dim[1], 1,
+                        "ShapeError: label's second dimension of "
+                        "AccuracyOp must be 1. But received label's "
+                        "second dimension is = %d, label's shape = [%s]",
+                        label_dim[1], label_dim);
+      PADDLE_ENFORCE_EQ(
+          inference_dim[0], label_dim[0],
+          "ShapeError: the output's num_rows of AccuracyOp must be"
+          " the same as label's num_rows. But received output's "
+          "shape = [%s], label's shape = [%s], output's num_rows = %d, label's "
+          "num_rows = %d",
+          inference_dim, label_dim, inference_dim[0], label_dim[0]);
+    }
 
     ctx->SetOutputDim("Accuracy", {1});
     ctx->SetOutputDim("Correct", {1});

paddle/fluid/operators/metrics/auc_op.cc

@@ -28,14 +28,18 @@ class AucOp : public framework::OperatorWithKernel {
     PADDLE_ENFORCE(ctx->HasInput("Label"),
                    "Input of Label should not be null.");
     auto predict_width = ctx->GetInputDim("Predict")[1];
-    PADDLE_INFERSHAPE_ENFORCE_LE(ctx, predict_width, 2,
-                                 "Only support binary classification,"
-                                 "prediction dims[1] should be 1 or 2");
+    if (ctx->IsRuntime()) {
+      PADDLE_ENFORCE_LE(predict_width, 2,
+                        "Only support binary classification,"
+                        "prediction dims[1] should be 1 or 2");
+    }
     auto predict_height = ctx->GetInputDim("Predict")[0];
     auto label_height = ctx->GetInputDim("Label")[0];
 
-    PADDLE_INFERSHAPE_ENFORCE_EQ(ctx, predict_height, label_height,
-                                 "Out and Label should have same height.");
+    if (ctx->IsRuntime()) {
+      PADDLE_ENFORCE_EQ(predict_height, label_height,
+                        "Out and Label should have same height.");
+    }
 
     int num_pred_buckets = ctx->Attrs().Get<int>("num_thresholds") + 1;
     int slide_steps = ctx->Attrs().Get<int>("slide_steps");

paddle/fluid/operators/mul_op.cc

@@ -48,32 +48,41 @@ class MulOp : public framework::OperatorWithKernel {
             << " y_num_col_dims=" << y_num_col_dims;
 
     PADDLE_ENFORCE_NE(framework::product(y_dims), 0,
-                      "Maybe the Input variable Y(%s) has not "
-                      "been initialized. You may need to confirm "
-                      "if you put exe.run(startup_program) "
-                      "after optimizer.minimize function.",
-                      ctx->Inputs("Y").front());
-    PADDLE_ENFORCE_GT(x_dims.size(), x_num_col_dims,
-                      "ShapeError: The input tensor X's dimensions of MulOp "
-                      "should be larger than x_num_col_dims. But received X's "
-                      "dimensions = %d, X's shape = [%s], x_num_col_dims = %d.",
-                      x_dims.size(), x_dims, x_num_col_dims);
-    PADDLE_ENFORCE_GT(y_dims.size(), y_num_col_dims,
-                      "ShapeError: The input tensor Y's dimensions of MulOp "
-                      "should be larger than y_num_col_dims. But received Y's "
-                      "dimensions = %d, Y's shape = [%s], y_num_col_dims = %d.",
-                      y_dims.size(), y_dims, y_num_col_dims);
+                      platform::errors::PreconditionNotMet(
+                          "Maybe the Input variable Y(%s) has not "
+                          "been initialized. You may need to confirm "
+                          "if you put exe.run(startup_program) "
+                          "after optimizer.minimize function.",
+                          ctx->Inputs("Y").front()));
+    PADDLE_ENFORCE_GT(
+        x_dims.size(), x_num_col_dims,
+        platform::errors::InvalidArgument(
+            "The input tensor X's dimensions of MulOp "
+            "should be larger than x_num_col_dims. But received X's "
+            "dimensions = %d, X's shape = [%s], x_num_col_dims = %d.",
+            x_dims.size(), x_dims, x_num_col_dims));
+    PADDLE_ENFORCE_GT(
+        y_dims.size(), y_num_col_dims,
+        platform::errors::InvalidArgument(
+            "The input tensor Y's dimensions of MulOp "
+            "should be larger than y_num_col_dims. But received Y's "
+            "dimensions = %d, Y's shape = [%s], y_num_col_dims = %d.",
+            y_dims.size(), y_dims, y_num_col_dims));
 
     auto x_mat_dims = framework::flatten_to_2d(x_dims, x_num_col_dims);
     auto y_mat_dims = framework::flatten_to_2d(y_dims, y_num_col_dims);
 
     PADDLE_ENFORCE_EQ(
         x_mat_dims[1], y_mat_dims[0],
-        "ShapeError: After flatten the input tensor X and Y to 2-D dimensions "
-        "matrix X1 and Y1, the matrix X1's width must be equal with matrix "
-        "Y1's height. But received X's shape = [%s], X1's shape = [%s], X1's "
-        "width = %s; Y's shape = [%s], Y1's shape = [%s], Y1's height = %s.",
-        x_dims, x_mat_dims, x_mat_dims[1], y_dims, y_mat_dims, y_mat_dims[0]);
+        platform::errors::InvalidArgument(
+            "After flatten the input tensor X and Y to 2-D dimensions "
+            "matrix X1 and Y1, the matrix X1's width must be equal with matrix "
+            "Y1's height. But received X's shape = [%s], X1's shape = [%s], "
+            "X1's "
+            "width = %s; Y's shape = [%s], Y1's shape = [%s], Y1's height = "
+            "%s.",
+            x_dims, x_mat_dims, x_mat_dims[1], y_dims, y_mat_dims,
+            y_mat_dims[0]));
     std::vector<int64_t> output_dims;
     output_dims.reserve(
         static_cast<size_t>(x_num_col_dims + y_dims.size() - y_num_col_dims));

paddle/fluid/operators/smooth_l1_loss_op.cc

@@ -135,11 +135,13 @@ class SmoothL1LossGradOp : public framework::OperatorWithKernel {
 
     PADDLE_ENFORCE_GE(out_dims.size(), 2,
                       "The tensor rank of Input(Out@Grad) should be 2.");
-    PADDLE_INFERSHAPE_ENFORCE_EQ(ctx, out_dims[0], in_dims[0],
-                                 "The 1st dimension of Input(Out@Grad) must be "
-                                 "same as input.");
-    PADDLE_INFERSHAPE_ENFORCE_EQ(
-        ctx, out_dims[1], 1, "The 2nd dimension of Input(Out@Grad) must be 1.");
+    if (ctx->IsRuntime()) {
+      PADDLE_ENFORCE_EQ(out_dims[0], in_dims[0],
+                        "The 1st dimension of Input(Out@Grad) must be "
+                        "same as input.");
+      PADDLE_ENFORCE_EQ(out_dims[1], 1,
+                        "The 2nd dimension of Input(Out@Grad) must be 1.");
+    }
 
     auto x_grad_name = framework::GradVarName("X");
     auto y_grad_name = framework::GradVarName("Y");

paddle/fluid/operators/squared_l2_distance_op.cc

@@ -137,12 +137,14 @@ class SquaredL2DistanceGradOp : public framework::OperatorWithKernel {
     auto out_dims = ctx->GetInputDim(framework::GradVarName("Out"));
     auto x_dims = ctx->GetInputDim("X");
     auto y_dims = ctx->GetInputDim("Y");
-    PADDLE_INFERSHAPE_ENFORCE_EQ(ctx, out_dims[0], x_dims[0],
-                                 "First dimension of output gradient and "
-                                 "input value must be equal.");
-    PADDLE_INFERSHAPE_ENFORCE_EQ(ctx, out_dims[1], 1,
-                                 "Second dimension of output gradient "
-                                 "must be 1.");
+    if (ctx->IsRuntime()) {
+      PADDLE_ENFORCE_EQ(out_dims[0], x_dims[0],
+                        "First dimension of output gradient and "
+                        "input value must be equal.");
+      PADDLE_ENFORCE_EQ(out_dims[1], 1,
+                        "Second dimension of output gradient "
+                        "must be 1.");
+    }
     auto x_grad_name = framework::GradVarName("X");
     auto y_grad_name = framework::GradVarName("Y");
     if (ctx->HasOutput(x_grad_name)) ctx->SetOutputDim(x_grad_name, x_dims);

paddle/fluid/platform/CMakeLists.txt

 proto_library(profiler_proto SRCS profiler.proto DEPS framework_proto simple_threadpool)
 py_proto_compile(profiler_py_proto SRCS profiler.proto)
+proto_library(error_codes_proto SRCS error_codes.proto)
 
 add_custom_target(profiler_py_proto_init ALL COMMAND ${CMAKE_COMMAND} -E touch __init__.py)
-
 add_dependencies(profiler_py_proto profiler_py_proto_init)
 
 if (NOT WIN32)
@@ -22,10 +22,13 @@ endif(NOT WIN32)
 
 cc_library(flags SRCS flags.cc DEPS gflags) 
 
+cc_library(errors SRCS errors.cc DEPS error_codes_proto)
+cc_test(errors_test SRCS errors_test.cc DEPS errors enforce)
+
 if(WITH_GPU)
-  nv_library(enforce SRCS enforce.cc DEPS flags)
+  nv_library(enforce SRCS enforce.cc DEPS flags errors)
 else()
-  cc_library(enforce SRCS enforce.cc DEPS flags)
+  cc_library(enforce SRCS enforce.cc DEPS flags errors)
 endif()
 cc_test(enforce_test SRCS enforce_test.cc DEPS stringpiece enforce)
 

paddle/fluid/platform/enforce_test.cc

@@ -87,8 +87,10 @@ TEST(ENFORCE_EQ, EXTRA_MSG_FAIL) {
   } catch (paddle::platform::EnforceNotMet& error) {
     caught_exception = true;
     std::string ex_msg = error.what();
-    EXPECT_TRUE(ex_msg.find("Expected a == 1 + 3, but received a:2 != 1 + "
-                            "3:4.\ntheir size not match") != std::string::npos);
+    EXPECT_TRUE(ex_msg.find("their size not match") != std::string::npos);
+    EXPECT_TRUE(
+        ex_msg.find("Expected a == 1 + 3, but received a:2 != 1 + 3:4.") !=
+        std::string::npos);
   }
   EXPECT_TRUE(caught_exception);
 }

paddle/fluid/platform/error_codes.proto

+/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+syntax = "proto2";
+option optimize_for = LITE_RUNTIME;
+package paddle.platform.error;
+
+enum Code {
+  // Legacy error.
+  // Error type string: "Error"
+  LEGACY = 0;
+
+  // Client specified an invalid argument.
+  // Error type string: "InvalidArgumentError"
+  INVALID_ARGUMENT = 1;
+
+  // Some requested entity (e.g., file or directory) was not found.
+  // Error type string: "NotFoundError"
+  NOT_FOUND = 2;
+
+  // Operation tried to iterate past the valid input range.  E.g., seeking or
+  // reading past end of file.
+  // Error type string: "OutOfRangeError"
+  OUT_OF_RANGE = 3;
+
+  // Some entity that we attempted to create (e.g., file or directory)
+  // already exists.
+  // Error type string: "AlreadyExistsError"
+  ALREADY_EXISTS = 4;
+
+  // Some resource has been exhausted, perhaps a per-user quota, or
+  // perhaps the entire file system is out of space.
+  // Error type string: "ResourceExhaustedError"
+  RESOURCE_EXHAUSTED = 5;
+
+  // Operation was rejected because the system is not in a state
+  // required for the operation's execution.
+  // Error type string: "PreconditionNotMetError"
+  PRECONDITION_NOT_MET = 6;
+
+  // The caller does not have permission to execute the specified
+  // operation.
+  // Error type string: "PermissionDeniedError"
+  PERMISSION_DENIED = 7;
+
+  // Deadline expired before operation could complete.
+  // Error type string: "ExecutionTimeout"
+  EXECUTION_TIMEOUT = 8;
+
+  // Operation is not implemented or not supported/enabled in this service.
+  // Error type string: "UnimpelmentedError"
+  UNIMPLEMENTED = 9;
+
+  // The service is currently unavailable.  This is a most likely a
+  // transient condition and may be corrected by retrying with
+  // a backoff.
+  // Error type string: "UnavailableError"
+  UNAVAILABLE = 10;
+
+  // Fatal errors.  Means some invariant expected by the underlying
+  // system has been broken.  If you see one of these errors,
+  // something is very broken.
+  // Error type string: "FatalError"
+  FATAL = 11;
+
+  // Third-party library error.
+  // Error type string: "ExternalError"
+  EXTERNAL = 12;
+}

paddle/fluid/platform/errors.cc

+/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+
+licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#include "paddle/fluid/platform/errors.h"
+
+#include <stdexcept>
+
+namespace paddle {
+namespace platform {
+
+typedef ::paddle::platform::error::Code Code;
+
+std::string error_name(Code code) {
+  switch (code) {
+    case paddle::platform::error::LEGACY:
+      return "Error";
+      break;
+    case paddle::platform::error::INVALID_ARGUMENT:
+      return "InvalidArgumentError";
+      break;
+    case paddle::platform::error::NOT_FOUND:
+      return "NotFoundError";
+      break;
+    case paddle::platform::error::OUT_OF_RANGE:
+      return "OutOfRangeError";
+      break;
+    case paddle::platform::error::ALREADY_EXISTS:
+      return "AlreadyExistsError";
+      break;
+    case paddle::platform::error::RESOURCE_EXHAUSTED:
+      return "ResourceExhaustedError";
+      break;
+    case paddle::platform::error::PRECONDITION_NOT_MET:
+      return "PreconditionNotMetError";
+      break;
+    case paddle::platform::error::PERMISSION_DENIED:
+      return "PermissionDeniedError";
+      break;
+    case paddle::platform::error::EXECUTION_TIMEOUT:
+      return "ExecutionTimeoutError";
+      break;
+    case paddle::platform::error::UNIMPLEMENTED:
+      return "UnimplementedError";
+      break;
+    case paddle::platform::error::UNAVAILABLE:
+      return "UnavailableError";
+      break;
+    case paddle::platform::error::FATAL:
+      return "FatalError";
+      break;
+    case paddle::platform::error::EXTERNAL:
+      return "ExternalError";
+      break;
+    default:
+      throw std::invalid_argument("The error type is undefined.");
+      break;
+  }
+}
+
+std::string ErrorSummary::ToString() const {
+  std::string result(error_name(code()));
+  result += ": ";
+  result += error_message();
+  return result;
+}
+
+}  // namespace platform
+}  // namespace paddle

paddle/fluid/platform/errors.h

+/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+
+licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#pragma once
+
+#include <memory>
+#include <stdexcept>
+#include <string>
+#include <tuple>
+#include <type_traits>
+
+#include "paddle/fluid/platform/error_codes.pb.h"
+#include "paddle/fluid/string/printf.h"
+
+namespace paddle {
+namespace platform {
+
+typedef ::paddle::platform::error::Code Code;
+
+class ErrorSummary {
+ public:
+  // Note(chenweihang): Final deprecated constructor
+  //   This constructor is only used to be compatible with
+  //   current existing no error message PADDLE_ENFORCE_*
+  ErrorSummary() {
+    code_ = paddle::platform::error::LEGACY;
+    msg_ =
+        "Paddle internal Check failed. (Please help us create a new issue, "
+        "here we need to find the developer to add a user friendly error "
+        "message)";
+  }
+
+  // Note(chenweihang): Final deprecated constructor
+  //   This constructor is used to be compatible with
+  //   current existing untyped PADDLE_ENFORCE_*
+  //   PADDLE_ENFORCE
+  template <typename... Args>
+  explicit ErrorSummary(Args... args) {
+    code_ = paddle::platform::error::LEGACY;
+    msg_ = paddle::string::Sprintf(args...);
+  }
+
+  // Note(chenweihang): Recommended constructor
+  explicit ErrorSummary(Code code, std::string msg) : code_(code), msg_(msg) {}
+
+  Code code() const { return code_; }
+
+  const std::string& error_message() const { return msg_; }
+
+  std::string ToString() const;
+
+ private:
+  Code code_;
+  std::string msg_;
+};
+
+namespace errors {
+
+#define REGISTER_ERROR(FUNC, CONST, ...)                                       \
+  template <typename... Args>                                                  \
+  ::paddle::platform::ErrorSummary FUNC(Args... args) {                        \
+    return ::paddle::platform::ErrorSummary(                                   \
+        ::paddle::platform::error::CONST, ::paddle::string::Sprintf(args...)); \
+  }
+
+REGISTER_ERROR(InvalidArgument, INVALID_ARGUMENT)
+REGISTER_ERROR(NotFound, NOT_FOUND)
+REGISTER_ERROR(OutOfRange, OUT_OF_RANGE)
+REGISTER_ERROR(AlreadyExists, ALREADY_EXISTS)
+REGISTER_ERROR(ResourceExhausted, RESOURCE_EXHAUSTED)
+REGISTER_ERROR(PreconditionNotMet, PRECONDITION_NOT_MET)
+REGISTER_ERROR(PermissionDenied, PERMISSION_DENIED)
+REGISTER_ERROR(ExecutionTimeout, EXECUTION_TIMEOUT)
+REGISTER_ERROR(Unimplemented, UNIMPLEMENTED)
+REGISTER_ERROR(Unavailable, UNAVAILABLE)
+REGISTER_ERROR(Fatal, FATAL)
+REGISTER_ERROR(External, EXTERNAL)
+
+#undef REGISTER_ERROR
+
+}  // namespace errors
+}  // namespace platform
+}  // namespace paddle

paddle/fluid/platform/errors_test.cc

+/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+
+licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#include <functional>
+#include <string>
+
+#include "gtest/gtest.h"
+#include "paddle/fluid/platform/enforce.h"
+#include "paddle/fluid/platform/errors.h"
+
+using namespace paddle::platform::errors;  // NOLINT
+
+#define CHECK_PADDLE_THROW(EFUNC)                                    \
+  do {                                                               \
+    bool caught_exception = false;                                   \
+    try {                                                            \
+      PADDLE_THROW((EFUNC)("paddle throw test."));                   \
+    } catch (paddle::platform::EnforceNotMet & error) {              \
+      caught_exception = true;                                       \
+      std::string ex_msg = error.what();                             \
+      EXPECT_TRUE(ex_msg.find(#EFUNC "Error: paddle throw test.") != \
+                  std::string::npos);                                \
+    }                                                                \
+    EXPECT_TRUE(caught_exception);                                   \
+  } while (0)
+
+#define CHECK_PADDLE_ENFORCE(EFUNC)                                    \
+  do {                                                                 \
+    bool caught_exception = false;                                     \
+    try {                                                              \
+      PADDLE_ENFORCE(false, (EFUNC)("paddle enforce test."));          \
+    } catch (paddle::platform::EnforceNotMet & error) {                \
+      caught_exception = true;                                         \
+      std::string ex_msg = error.what();                               \
+      EXPECT_TRUE(ex_msg.find(#EFUNC "Error: paddle enforce test.") != \
+                  std::string::npos);                                  \
+    }                                                                  \
+    EXPECT_TRUE(caught_exception);                                     \
+  } while (0)
+
+#define CHECK_PADDLE_ENFORCE_NOT_NULL(EFUNC)                             \
+  do {                                                                   \
+    bool caught_exception = false;                                       \
+    try {                                                                \
+      PADDLE_ENFORCE_NOT_NULL(nullptr,                                   \
+                              (EFUNC)("paddle enforce not null test.")); \
+    } catch (paddle::platform::EnforceNotMet & error) {                  \
+      caught_exception = true;                                           \
+      std::string ex_msg = error.what();                                 \
+      EXPECT_TRUE(                                                       \
+          ex_msg.find(#EFUNC "Error: paddle enforce not null test.") !=  \
+          std::string::npos);                                            \
+    }                                                                    \
+    EXPECT_TRUE(caught_exception);                                       \
+  } while (0)
+
+#define CHECK_PADDLE_ENFORCE_EQ(EFUNC)                                       \
+  do {                                                                       \
+    bool caught_exception = false;                                           \
+    try {                                                                    \
+      PADDLE_ENFORCE_EQ(1, 2, (EFUNC)("paddle enforce equal test."));        \
+    } catch (paddle::platform::EnforceNotMet & error) {                      \
+      caught_exception = true;                                               \
+      std::string ex_msg = error.what();                                     \
+      EXPECT_TRUE(ex_msg.find(#EFUNC "Error: paddle enforce equal test.") != \
+                  std::string::npos);                                        \
+    }                                                                        \
+    EXPECT_TRUE(caught_exception);                                           \
+  } while (0)
+
+#define CHECK_ALL_PADDLE_EXCEPTION_MACRO(EFUNC) \
+  do {                                          \
+    CHECK_PADDLE_THROW(EFUNC);                  \
+    CHECK_PADDLE_ENFORCE(EFUNC);                \
+    CHECK_PADDLE_ENFORCE_NOT_NULL(EFUNC);       \
+    CHECK_PADDLE_ENFORCE_EQ(EFUNC);             \
+  } while (0)
+
+TEST(Errors, InvalidArgument) {
+  CHECK_ALL_PADDLE_EXCEPTION_MACRO(InvalidArgument);
+}
+
+TEST(Errors, NotFound) { CHECK_ALL_PADDLE_EXCEPTION_MACRO(NotFound); }
+
+TEST(Errors, OutOfRange) { CHECK_ALL_PADDLE_EXCEPTION_MACRO(OutOfRange); }
+
+TEST(Errors, AlreadExists) { CHECK_ALL_PADDLE_EXCEPTION_MACRO(AlreadyExists); }
+
+TEST(Errors, ResourceExhausted) {
+  CHECK_ALL_PADDLE_EXCEPTION_MACRO(ResourceExhausted);
+}
+
+TEST(Errors, PreconditionNotMet) {
+  CHECK_ALL_PADDLE_EXCEPTION_MACRO(PreconditionNotMet);
+}
+
+TEST(Errors, PermissionDenied) {
+  CHECK_ALL_PADDLE_EXCEPTION_MACRO(PermissionDenied);
+}
+
+TEST(Errors, ExecutionTimeout) {
+  CHECK_ALL_PADDLE_EXCEPTION_MACRO(ExecutionTimeout);
+}
+
+TEST(Errors, Unimplemented) { CHECK_ALL_PADDLE_EXCEPTION_MACRO(Unimplemented); }
+
+TEST(Errors, Unavailable) { CHECK_ALL_PADDLE_EXCEPTION_MACRO(Unavailable); }
+
+TEST(Errors, Fatal) { CHECK_ALL_PADDLE_EXCEPTION_MACRO(Fatal); }
+
+TEST(Errors, External) { CHECK_ALL_PADDLE_EXCEPTION_MACRO(External); }