[Cherry Pick] Add error info during compile (#19300)

* Add call stack info during runtime and compile time
test=develop

paddle/fluid/framework/CMakeLists.txt

@@ -125,7 +125,7 @@ cc_library(shape_inference SRCS shape_inference.cc DEPS ddim attribute device_co
 cc_library(transfer_scope_cache SRCS transfer_scope_cache.cc DEPS scope framework_proto device_context)
 cc_library(op_kernel_type SRCS op_kernel_type.cc DEPS device_context place)
 cc_library(operator SRCS operator.cc DEPS op_info device_context tensor scope glog
-    shape_inference data_transform lod_tensor profiler transfer_scope_cache op_kernel_type)
+    shape_inference data_transform lod_tensor profiler transfer_scope_cache op_kernel_type op_call_stack)
 
 cc_test(operator_test SRCS operator_test.cc DEPS operator op_registry device_context)
 
@@ -136,6 +136,8 @@ cc_library(proto_desc SRCS var_desc.cc op_desc.cc block_desc.cc program_desc.cc
 
 cc_library(op_registry SRCS op_registry.cc DEPS op_proto_maker op_info operator glog proto_desc memory_optimize_helper)
 
+cc_library(op_call_stack SRCS op_call_stack.cc DEPS op_proto_maker enforce)
+
 nv_test(op_registry_test SRCS op_registry_test.cc DEPS op_registry)
 
 py_proto_compile(framework_py_proto SRCS framework.proto data_feed.proto)

paddle/fluid/framework/op_call_stack.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/framework/op_call_stack.h"
+#include <string>
+#include <vector>
+#include "paddle/fluid/framework/attribute.h"
+#include "paddle/fluid/framework/op_proto_maker.h"
+
+namespace paddle {
+namespace framework {
+
+void InsertCallStackInfo(const std::string &type, const AttributeMap &attrs,
+                         platform::EnforceNotMet *exception) {
+  if (attrs.count("sub_block") != 0) {
+    return;
+  }
+  auto &callstack = boost::get<std::vector<std::string>>(
+      attrs.at(OpProtoAndCheckerMaker::OpCreationCallstackAttrName()));
+
+  if (callstack.empty()) {
+    return;
+  }
+  std::ostringstream sout;
+  sout << "Invoke operator " << type << " error.\n";
+  sout << "Python Call stacks: \n";
+  for (auto &line : callstack) {
+    sout << line;
+  }
+  sout << "C++ Call stacks: \n";
+  sout << exception->err_str_;
+  exception->err_str_ = sout.str();
+}
+
+}  // namespace framework
+}  // namespace paddle

paddle/fluid/framework/op_call_stack.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 <string>
+#include "paddle/fluid/framework/type_defs.h"
+#include "paddle/fluid/platform/enforce.h"
+
+namespace paddle {
+namespace framework {
+void InsertCallStackInfo(const std::string &type, const AttributeMap &attrs,
+                         platform::EnforceNotMet *exception);
+}  // namespace framework
+}  // namespace paddle

paddle/fluid/framework/op_desc.cc

@@ -18,8 +18,10 @@ limitations under the License. */
 #include <mutex>  // NOLINT
 #include <string>
 #include <unordered_map>
+#include <utility>
 #include "glog/logging.h"
 #include "paddle/fluid/framework/block_desc.h"
+#include "paddle/fluid/framework/op_call_stack.h"
 #include "paddle/fluid/framework/op_proto_maker.h"
 #include "paddle/fluid/framework/operator.h"
 #include "paddle/fluid/framework/program_desc.h"
@@ -679,6 +681,7 @@ void OpDesc::CheckAttrs() {
 }
 
 void OpDesc::InferShape(const BlockDesc &block) const {
+  try {
     VLOG(3) << "CompileTime infer shape on " << Type();
     InitInferShapeFuncs();
     auto &infer_shape = OpInfoMap::Instance().Get(this->Type()).infer_shape_;
@@ -699,6 +702,12 @@ void OpDesc::InferShape(const BlockDesc &block) const {
       VLOG(10) << sout.str();
     }
     infer_shape(&ctx);
+  } catch (platform::EnforceNotMet exception) {
+    framework::InsertCallStackInfo(Type(), attrs_, &exception);
+    throw std::move(exception);
+  } catch (...) {
+    std::rethrow_exception(std::current_exception());
+  }
 }
 
 void OpDesc::InferVarType(BlockDesc *block) const {

paddle/fluid/framework/operator.cc

@@ -23,6 +23,7 @@ limitations under the License. */
 #include "paddle/fluid/framework/data_transform.h"
 #include "paddle/fluid/framework/executor.h"
 #include "paddle/fluid/framework/lod_tensor.h"
+#include "paddle/fluid/framework/op_call_stack.h"
 #include "paddle/fluid/framework/op_proto_maker.h"
 #include "paddle/fluid/framework/operator.h"
 #include "paddle/fluid/framework/shape_inference.h"
@@ -183,28 +184,9 @@ void OperatorBase::Run(const Scope& scope, const platform::Place& place) {
     } else {
       RunImpl(scope, place);
     }
-
     VLOG(3) << place << " " << DebugStringEx(&scope);
   } catch (platform::EnforceNotMet exception) {
-    if (Attrs().count("sub_block") != 0) {
-      throw std::move(exception);
-    }
-
-    auto& callstack = Attr<std::vector<std::string>>(
-        OpProtoAndCheckerMaker::OpCreationCallstackAttrName());
-
-    if (callstack.empty()) {
-      throw std::move(exception);
-    }
-    std::ostringstream sout;
-    sout << "Invoke operator " << Type() << " error.\n";
-    sout << "Python Callstacks: \n";
-    for (auto& line : callstack) {
-      sout << line;
-    }
-    sout << "C++ Callstacks: \n";
-    sout << exception.err_str_;
-    exception.err_str_ = sout.str();
+    framework::InsertCallStackInfo(Type(), Attrs(), &exception);
     throw std::move(exception);
   } catch (...) {
     std::rethrow_exception(std::current_exception());

python/paddle/fluid/tests/unittests/test_runtime_and_compiletime_exception.py

+#   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.
+
+from __future__ import print_function
+
+import unittest
+import numpy as np
+from op_test import OpTest
+import paddle.fluid as fluid
+import paddle.fluid.core as core
+
+
+class TestRunTimeException(OpTest):
+    def test_run_time_exception(self):
+        place = fluid.CPUPlace()
+        exe = fluid.Executor(place)
+
+        train_program = fluid.Program()
+        startup_program = fluid.Program()
+        with fluid.program_guard(train_program, startup_program):
+            label = fluid.layers.data(name="label", shape=[1], dtype="int64")
+            fluid.layers.one_hot(input=label, depth=100)
+
+        def _run_program():
+            x = np.random.random(size=(10)).astype('int64')
+            exe.run(train_program, feed={"label": x})
+
+        self.assertRaises(core.EnforceNotMet, _run_program)
+
+
+class TestCompileTimeException(OpTest):
+    def test_compile_time_exception(self):
+        self.assertRaises(core.EnforceNotMet, self.build_model)
+
+    def build_model(self):
+        train_program = fluid.Program()
+        startup_program = fluid.Program()
+        with fluid.program_guard(train_program, startup_program):
+            label = fluid.layers.data(
+                name="label", shape=[1], dtype="int64", append_batch_size=False)
+            fluid.layers.one_hot(input=label, depth=100)
+
+
+if __name__ == '__main__':
+    unittest.main()