Enabled AutoCodeGen for Eager Dygraph

paddle/fluid/eager/.gitignore

@@ -0,0 +1,2 @@
+generated/**
+autocodegen/generated_example/

paddle/fluid/eager/CMakeLists.txt

@@ -1,9 +1,22 @@
+set(eager_deps pten pten_api hook_utils tensor_utils utils global_utils backward pten_tensor legacy autograd_meta grad_node_info grad_tensor_holder gradient_accumulation accumulation_node)
+set(fluid_deps tracer layer proto_desc operator op_registry variable_helper memcpy)
+set(generated_deps dygraph_function dygraph_node)
+
+if(NOT DEFINED ON_INFER)
+    message("Performing Eager Dygraph Auto Code Generation")
+    add_subdirectory(auto_code_generator)
+endif()
+
 add_subdirectory(api)
 add_subdirectory(accumulation)
-add_subdirectory(tests)
+add_subdirectory(legacy)
 
-cc_library(autograd_meta SRCS autograd_meta.cc DEPS pten pten_api)
 cc_library(grad_node_info SRCS grad_node_info.cc DEPS pten pten_api)
 cc_library(grad_tensor_holder SRCS grad_tensor_holder.cc DEPS grad_node_info gradient_accumulation)
+
+cc_library(autograd_meta SRCS autograd_meta.cc DEPS pten pten_api)
 cc_library(utils SRCS utils.cc DEPS pten pten_api global_utils layer proto_desc operator op_registry variable_helper memcpy scale_op autograd_meta)
+cc_library(legacy SRCS ${DYGRAPH_LEGACY} DEPS global_utils proto_desc operator pten pten_api op_registry variable_helper memcpy)
 cc_library(backward SRCS backward.cc DEPS grad_tensor_holder utils autograd_meta grad_node_info)
+
+add_subdirectory(tests)

paddle/fluid/eager/api/generated/.gitignore

@@ -0,0 +1 @@
+fluid_generated/**

paddle/fluid/eager/api/generated/CMakeLists.txt

@@ -1 +1,5 @@
 add_subdirectory(eager_generated)
+
+if(NOT DEFINED ON_INFER)
+    add_subdirectory(fluid_generated)
+endif()

paddle/fluid/eager/auto_code_generator/CMakeLists.txt

@@ -6,13 +6,24 @@ target_link_libraries(eager_generator ${EAGER_GENERETOR_DEPS})
 get_property (os_dependency_modules GLOBAL PROPERTY OS_DEPENDENCY_MODULES)
 target_link_libraries(eager_generator ${os_dependency_modules})
 
+if(WITH_ROCM)
+    target_link_libraries(eager_generator ${ROCM_HIPRTC_LIB})
+endif()
+
 # Prepare file structure
 message("Generate dygraph file structure at path: ${PADDLE_SOURCE_DIR}/paddle/fluid/eager/generated")
 execute_process(
     COMMAND "${PYTHON_EXECUTABLE}" "${PADDLE_SOURCE_DIR}/paddle/fluid/eager/auto_code_generator/generate_file_structures.py" "${PADDLE_SOURCE_DIR}/paddle/fluid/eager/"
 )
 
-add_custom_target(eager_codegen
-      COMMAND "${CMAKE_CURRENT_BINARY_DIR}/eager_generator" "${PADDLE_SOURCE_DIR}/paddle/fluid/eager/api/generated/fluid_generated"
+if(WIN32)
+    add_custom_target(eager_codegen
+      COMMAND "${CMAKE_CURRENT_BINARY_DIR}/eager_generator.exe" "${PADDLE_SOURCE_DIR}/paddle/fluid/eager/api/generated/fluid_generated" 
       DEPENDS eager_generator
       VERBATIM)
+else()
+    add_custom_target(eager_codegen
+          COMMAND "${CMAKE_CURRENT_BINARY_DIR}/eager_generator" "${PADDLE_SOURCE_DIR}/paddle/fluid/eager/api/generated/fluid_generated"
+          DEPENDS eager_generator
+          VERBATIM)
+endif()

paddle/fluid/eager/auto_code_generator/eager_generator.cc

@@ -577,11 +577,6 @@ static std::string GenerateGradNodeCreationContent(
   // If single output slotname and not duplicable,
   // then generate: "egr::AutogradMeta* p_autograd_out =
   // egr::EagerUtils::autograd_meta("op_proto->outputs()[0].name()")"
-
-  // TODO(zhanlve): in case of multiple slotname but none of which are
-  // duplicable,
-  // avoid constructing vector<AutogradMeta*>, generate seperate
-  // AutogradMeta* objects respectively.
   std::string get_autograd_meta_str = "  // Prepare Autograd Meta \n";
   for (const proto::OpProto::Var& input : op_proto.inputs()) {
     const std::string& input_name = input.name();
@@ -607,11 +602,6 @@ static std::string GenerateGradNodeCreationContent(
   // If single output slotname and not duplicable,
   // then generate: "egr::AutogradMeta* p_autograd_out =
   // egr::EagerUtils::autograd_meta("op_proto.outputs()[0].name()")"
-
-  // TODO(zhanlve): in case of multiple slotname but none of which are
-  // duplicable,
-  // avoid constructing vector<AutogradMeta*>, generate seperate
-  // AutogradMeta* objects respectively.
   for (const proto::OpProto::Var& output : op_proto.outputs()) {
     const std::string& output_name = output.name();
     const std::string& output_autograd_name = "p_autograd_" + output_name;
@@ -725,9 +715,9 @@ static std::string GenerateGradNodeCreationContent(
   // [Generation] GradNode Creation
   const char* GRAD_NODE_CREATION_TEMPLATE =
       "  %s"
-      "  bool require_any_grad = egr::ComputeRequireGrad(%s);\n"
+      "  bool require_any_grad = egr::EagerUtils::ComputeRequireGrad(%s);\n"
       "  if(require_any_grad) {\n"
-      "    egr::PassStopGradient(%s);\n"
+      "    egr::EagerUtils::PassStopGradient(%s);\n"
       "%s\n  }";
   std::string grad_node_creation_body_str = paddle::string::Sprintf(
       GRAD_NODE_CREATION_TEMPLATE, prepare_autograd_meta_str,
@@ -793,7 +783,7 @@ static std::pair<std::string, std::string> GenerateForwardFunctionContents(
   Controller.Instance().GetExpectedPlace(), {});
 
         // According to fwd_outputs_names
-        std::vector<egr::EagerTensor> Out0 = GetOutputs(outs["Out0"]);
+        std::vector<egr::EagerTensor> Out0 = GGetOutputetOutputs(outs["Out0"]);
         egr::EagerTensor Out1 = GetOutputs(outs["Out1"][0]);
         std::vector<egr::EagerTensor> Out2 = GetOutputs(outs["Out2"]);
 
@@ -830,7 +820,8 @@ static std::pair<std::string, std::string> GenerateForwardFunctionContents(
       input_args_str_list[input_position] =
           paddle::string::Sprintf(FWD_INS_ARG_TEMPLATE, input_name);
     }
-    const char* FWD_INS_CONTENT_TEMPLATE = "{ \"%s\", egr::SyncToVars(%s) },";
+    const char* FWD_INS_CONTENT_TEMPLATE =
+        "{ \"%s\", egr::EagerUtils::SyncToVars(%s) },";
     ins_contents_str += paddle::string::Sprintf(FWD_INS_CONTENT_TEMPLATE,
                                                 input_name, input_name);
   }
@@ -925,14 +916,14 @@ static std::pair<std::string, std::string> GenerateForwardFunctionContents(
     if (output.duplicable()) {
       const char* FWD_OUT_TENSORS_TEMPLATE =
           "  std::vector<egr::EagerTensor> %s = "
-          "egr::GetOutputs(outs[\"%s\"]);\n";
+          "egr::EagerUtils::GetOutputs(outs[\"%s\"]);\n";
       out_tensor_str = paddle::string::Sprintf(FWD_OUT_TENSORS_TEMPLATE,
                                                output_name, output_name);
       return_types[return_position] = "std::vector<egr::EagerTensor>";
     } else {
       const char* FWD_OUT_TENSOR_TEMPLATE =
           "  egr::EagerTensor %s = "
-          "egr::GetOutput(outs[\"%s\"][0]);\n";
+          "egr::EagerUtils::GetOutput(outs[\"%s\"][0]);\n";
       out_tensor_str = paddle::string::Sprintf(FWD_OUT_TENSOR_TEMPLATE,
                                                output_name, output_name);
       return_types[return_position] = "egr::EagerTensor";
@@ -1093,7 +1084,8 @@ static std::string GenerateGradNodeCCContents(
           grad_ins_fwd_slotname_map.at(grad_input_name) + "_";
       const char* GRAD_INS_FWD_CONTENT_TEMPLATE =
           "{ \"%s\", "
-          "egr::SyncToVars(egr::EagerUtils::RecoverTensorWrapper(&this->%s, "
+          "egr::EagerUtils::SyncToVars(egr::EagerUtils::RecoverTensorWrapper(&"
+          "this->%s, "
           "nullptr)) },";
       ins_contents_str +=
           paddle::string::Sprintf(GRAD_INS_FWD_CONTENT_TEMPLATE,
@@ -1104,7 +1096,7 @@ static std::string GenerateGradNodeCCContents(
       size_t fwd_output_position = fwd_outputs_name_pos_map.at(
           grad_ins_grad_slotname_map.at(grad_input_name));
       const char* GRAD_INS_GRAD_CONTENT_TEMPLATE =
-          "{ \"%s\", egr::SyncToVars(grads[%d]) },";
+          "{ \"%s\", egr::EagerUtils::SyncToVars(grads[%d]) },";
       ins_contents_str += paddle::string::Sprintf(
           GRAD_INS_GRAD_CONTENT_TEMPLATE, grad_input_name, fwd_output_position);
 
@@ -1206,7 +1198,7 @@ static std::string GenerateGradNodeCCContents(
         fwd_inputs_name_pos_map.at(grad_outs_slotname_map.at(grad_out_name));
 
     const char* BWD_OUTPUT_TEMPLATE =
-        "  outputs[%d] = GetOutputs(outs[\"%s\"]);\n";
+        "  outputs[%d] = egr::EagerUtils::GetOutputs(outs[\"%s\"]);\n";
     outputs_str += paddle::string::Sprintf(BWD_OUTPUT_TEMPLATE,
                                            fwd_input_position, grad_out_name);
   }
@@ -1526,6 +1518,9 @@ static void DygraphCodeGeneration(const std::string& output_dir) {
   GenerateForwardHFile(output_dir, dygraph_forward_api_str);
 }
 
+}  // namespace framework
+}  // namespace paddle
+
 int main(int argc, char* argv[]) {
   if (argc != 2) {
     std::cerr << "argc must be 2" << std::endl;
@@ -1537,6 +1532,3 @@ int main(int argc, char* argv[]) {
 
   return 0;
 }
-
-}  // namespace framework
-}  // namespace paddle

paddle/fluid/eager/legacy/prepared_operator.cc

@@ -20,7 +20,7 @@
 #include "paddle/fluid/framework/pten_utils.h"
 #include "paddle/utils/small_vector.h"
 #ifdef PADDLE_WITH_XPU
-#include "paddle/fluid/platform/xpu/xpu_op_list.h"
+#include "paddle/fluid/platform/device/xpu/xpu_op_list.h"
 #endif
 DECLARE_bool(check_nan_inf);
 DECLARE_bool(run_pten_kernel);

paddle/fluid/eager/tests/CMakeLists.txt

@@ -1,5 +1,2 @@
-set(eager_deps pten pten_api hook_utils tensor_utils utils global_utils backward pten_tensor autograd_meta grad_node_info grad_tensor_holder gradient_accumulation accumulation_node)
-set(fluid_deps tracer layer proto_desc operator op_registry variable_helper memcpy)
-
 add_subdirectory(data_structure_tests)
 add_subdirectory(task_tests)

paddle/fluid/eager/tests/task_tests/CMakeLists.txt

@@ -5,3 +5,7 @@ cc_test(test_egr_task_backward SRCS backward_test.cc DEPS ${eager_deps} ${fluid_
 cc_test(test_egr_task_hook SRCS hook_test.cc DEPS ${eager_deps} ${fluid_deps} eager_scale scale_node)
 cc_test(test_egr_task_cross_batch SRCS cross_batch_accumulation_test.cc DEPS ${eager_deps} ${fluid_deps} eager_scale scale_node)
 cc_test(test_egr_task_fwd_bwd_joint SRCS fwd_bwd_joint_test.cc DEPS ${eager_deps} ${fluid_deps} eager_scale scale_node)
+
+if(NOT DEFINED ON_INFER)
+    cc_test(test_egr_task_autocodegen SRCS generated_test.cc DEPS ${eager_deps} ${fluid_deps} ${generated_deps})
+endif()

paddle/fluid/eager/tests/task_tests/generated_test.cc

@@ -0,0 +1,95 @@
+// Copyright (c) 2021 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.
+
+// Eager Dygraph
+
+#include <chrono>
+
+#include "gtest/gtest.h"
+
+#include "paddle/fluid/eager/api/all.h"
+#include "paddle/fluid/eager/api/utils/tensor_utils.h"
+#include "paddle/fluid/eager/autograd_meta.h"
+#include "paddle/fluid/eager/backward.h"
+#include "paddle/fluid/eager/utils.h"
+
+#include "paddle/fluid/eager/tests/test_utils.h"
+#include "paddle/fluid/imperative/tracer.h"
+
+#include "paddle/fluid/eager/api/generated/fluid_generated/dygraph_forward_api.h"
+#include "paddle/pten/core/kernel_registry.h"
+
+// TODO(jiabin): remove nolint here!!!
+using namespace egr;  // NOLINT
+
+namespace eager_test {
+
+TEST(Generated, Sigmoid) {
+  // Prepare Device Contexts
+  InitEnv(paddle::platform::CPUPlace());
+  VLOG(6) << "Init Env";
+  // 1. Prepare Input
+  paddle::framework::DDim ddim = paddle::framework::make_ddim({2, 4, 4, 4});
+  VLOG(6) << "Make Dim";
+  egr::EagerTensor tensor = CreateTensorWithValue(
+      ddim, paddle::platform::CPUPlace(), pten::DataType::FLOAT32,
+      pten::DataLayout::NCHW, 0.0, true);
+  VLOG(6) << "Make EagerTensor";
+  RetainGradForTensor(tensor);
+  VLOG(6) << "Retain Grad for Tensor";
+  auto output_tensor = sigmoid_dygraph_function(tensor, {});
+  VLOG(6) << "Run Backward";
+  CompareVariableWithValue<float>(output_tensor, 0.5);
+
+  std::vector<egr::EagerTensor> target_tensors = {output_tensor};
+  VLOG(6) << "Runing Backward";
+  RunBackward(target_tensors, {});
+
+  VLOG(6) << "Finish Backward";
+  CompareGradVariableWithValue<float>(tensor, 0.25);
+}
+
+TEST(Generated, Matmul_v2) {
+  // Prepare Device Contexts
+  InitEnv(paddle::platform::CPUPlace());
+
+  auto tracer = std::make_shared<paddle::imperative::Tracer>();
+  paddle::imperative::SetCurrentTracer(tracer);
+
+  // 1. Prepare Input
+  paddle::framework::DDim ddimX = paddle::framework::make_ddim({4, 16});
+  egr::EagerTensor X = CreateTensorWithValue(
+      ddimX, paddle::platform::CPUPlace(), pten::DataType::FLOAT32,
+      pten::DataLayout::NCHW, 3.0, true);
+  RetainGradForTensor(X);
+
+  paddle::framework::DDim ddimY = paddle::framework::make_ddim({16, 20});
+  egr::EagerTensor Y = CreateTensorWithValue(
+      ddimY, paddle::platform::CPUPlace(), pten::DataType::FLOAT32,
+      pten::DataLayout::NCHW, 2.0, true);
+  RetainGradForTensor(Y);
+
+  auto output_tensor = matmul_v2_dygraph_function(
+      X, Y, {{"trans_x", false}, {"trans_y", false}});
+
+  CompareVariableWithValue<float>(output_tensor, 96);
+
+  std::vector<egr::EagerTensor> target_tensors = {output_tensor};
+  RunBackward(target_tensors, {});
+
+  CompareGradVariableWithValue<float>(X, 2.0 * 20);
+  CompareGradVariableWithValue<float>(Y, 3.0 * 4);
+}
+
+}  // namespace eager_test

paddle/fluid/eager/utils.cc

@@ -14,6 +14,7 @@
 
 #include "paddle/fluid/eager/utils.h"
 #include "paddle/fluid/eager/api/utils/global_utils.h"
+#include "paddle/fluid/eager/tensor_wrapper.h"
 
 #include "paddle/pten/api/all.h"
 #include "paddle/pten/common/layout.h"
@@ -188,4 +189,19 @@ egr::EagerTensor EagerUtils::GetOutput(
   return EagerTensor((*(out.get())));
 }
 
+EagerTensor EagerUtils::RecoverTensorWrapper(
+    TensorWrapper* tw, const std::shared_ptr<GradNodeBase>& grad_node) {
+  return tw->recover(grad_node);
+}
+
+std::vector<EagerTensor> EagerUtils::RecoverTensorWrapper(
+    std::vector<TensorWrapper>* tw,
+    const std::shared_ptr<GradNodeBase>& grad_node) {
+  std::vector<EagerTensor> ret;
+  for (auto& t : *tw) {
+    ret.emplace_back(t.recover(grad_node));
+  }
+  return ret;
+}
+
 }  // namespace egr

paddle/fluid/eager/utils.h

@@ -22,6 +22,8 @@
 
 namespace egr {
 
+class TensorWrapper;
+
 /**
  * EagerUtils is utils used to do some static conversion or autograd
  * members access, this class is desinged to be a full static functional
@@ -131,6 +133,13 @@ class EagerUtils {
     iter.apply(std::forward<Args>(args)...);
   }
 
+  // TensorWrapper Utils
+  static egr::EagerTensor RecoverTensorWrapper(
+      egr::TensorWrapper* tw, const std::shared_ptr<GradNodeBase>& grad_node);
+  static std::vector<egr::EagerTensor> RecoverTensorWrapper(
+      std::vector<egr::TensorWrapper>* tw,
+      const std::shared_ptr<GradNodeBase>& grad_node);
+
   // Intermidate needed remove this once we don't need legacy
   static std::vector<std::shared_ptr<egr::EagerTensor>> SyncToVars(
       const egr::EagerTensor& tensor);

paddle/fluid/framework/details/nan_inf_utils.h

@@ -17,6 +17,7 @@
 #include <string>
 #include <vector>
 
+#include "paddle/fluid/eager/legacy/type_def.h"
 #include "paddle/fluid/framework/operator.h"
 #include "paddle/fluid/framework/scope.h"
 #include "paddle/fluid/imperative/type_defs.h"
@@ -53,6 +54,19 @@ void CheckOpHasNanOrInfInDygraph(const std::string& op_type,
   }
 }
 
+template <typename TensorType>
+static void CheckOpHasNanOrInfInEager(const std::string& op_type,
+                                      const egr::NameMap<TensorType>& op_outs,
+                                      platform::Place place) {
+  for (const auto& pair : op_outs) {
+    for (const auto& tensor : pair.second) {
+      auto* var = tensor->MutableVar();
+      if (var == nullptr) continue;
+      CheckVarHasNanOrInf(op_type, tensor->name(), var, place);
+    }
+  }
+}
+
 #ifdef PADDLE_WITH_ASCEND_CL
 void NPUAllocAndClearFloatStatus(const framework::OperatorBase& op,
                                  const framework::ScopeBase& scope,