[Cherry-pick] Optimize dygraph performance part2

paddle/fluid/framework/custom_operator.cc

@@ -39,6 +39,7 @@ limitations under the License. */
 #include "paddle/phi/api/all.h"
 #include "paddle/phi/api/lib/utils/tensor_utils.h"
 #include "paddle/phi/core/compat/convert_utils.h"
+#include "paddle/phi/core/tensor_utils.h"
 #include "paddle/utils/any.h"
 
 namespace paddle {

paddle/fluid/framework/new_executor/interpretercore.cc

@@ -22,6 +22,7 @@
 #include "paddle/fluid/framework/operator.h"
 #include "paddle/fluid/platform/os_info.h"
 #include "paddle/fluid/platform/profiler/event_tracing.h"
+#include "paddle/phi/core/kernel_context.h"
 #ifdef PADDLE_WITH_MKLDNN
 #include "paddle/fluid/platform/mkldnn_helper.h"
 #endif

paddle/fluid/framework/new_executor/interpretercore_util.cc

@@ -19,6 +19,7 @@
 #include "paddle/fluid/operators/controlflow/conditional_block_op_helper.h"
 #include "paddle/fluid/operators/controlflow/recurrent_op_helper.h"
 #include "paddle/fluid/operators/controlflow/while_op_helper.h"
+#include "paddle/phi/core/kernel_context.h"
 #include "paddle/phi/core/kernel_factory.h"
 
 #ifdef PADDLE_WITH_MKLDNN

paddle/fluid/framework/operator.cc

@@ -35,6 +35,7 @@ limitations under the License. */
 #include "paddle/fluid/platform/profiler/event_tracing.h"
 #include "paddle/phi/common/int_array.h"
 #include "paddle/phi/common/scalar.h"
+#include "paddle/phi/core/kernel_context.h"
 #include "paddle/phi/core/kernel_factory.h"
 #include "paddle/phi/ops/compat/signatures.h"
 
@@ -941,7 +942,7 @@ class RuntimeInferShapeContext : public InferShapeContext {
       return ((op_with_kernel.kernel_type()) &&
               (op_with_kernel.kernel_type()->data_layout_ ==
                framework::DataLayout::kMKLDNN));
-    } catch (std::bad_cast exp) {
+    } catch (const std::bad_cast& exp) {
       return false;
     }
   }
@@ -1966,6 +1967,36 @@ Scope* OperatorWithKernel::PrepareData(
 }
 
 void OperatorWithKernel::ParseInputDataType(
+    const Variable* var, const std::string& name,
+    proto::VarType::Type* data_type) const {
+  if (var != nullptr) {
+    const Tensor* t = nullptr;
+    if (var->IsType<Tensor>()) {
+      t = &var->Get<Tensor>();
+    } else if (var->IsType<LoDTensor>()) {
+      t = &var->Get<LoDTensor>();
+    } else if (var->IsType<phi::SelectedRows>()) {
+      t = &(var->Get<phi::SelectedRows>().value());
+    } else if (var->IsType<LoDTensorArray>()) {
+      auto t_arr = &var->Get<LoDTensorArray>();
+      for (size_t j = 0; j < t_arr->size(); j++) {
+        if (t_arr->at(j).IsInitialized()) {
+          t = &(t_arr->at(j));
+        }
+      }
+    }
+    if (t != nullptr) {
+      PADDLE_ENFORCE_EQ(
+          t->IsInitialized(), true,
+          platform::errors::InvalidArgument("The %s Op's Input Variable `%s` "
+                                            "contains uninitialized Tensor.",
+                                            Type(), name));
+      *data_type = paddle::framework::TransToProtoVarType(t->dtype());
+    }
+  }
+}
+
+void OperatorWithKernel::ParseMultiInputDataType(
     const std::vector<Variable*>& vars, const std::string& name,
     proto::VarType::Type* data_type) const {
   proto::VarType::Type default_data_type =
@@ -2016,9 +2047,12 @@ proto::VarType::Type OperatorWithKernel::IndicateDataType(
   proto::VarType::Type dafault_data_type =
       static_cast<proto::VarType::Type>(-1);
   proto::VarType::Type data_type = dafault_data_type;
-  for (auto& input : ctx.InNameList()) {
-    const std::vector<Variable*> vars = ctx.MultiInputVar(input);
-    ParseInputDataType(vars, input, &data_type);
+  for (auto* name : ctx.InNameList()) {
+    if (ctx.InputSize(*name) == 1UL) {
+      ParseInputDataType(ctx.InputVar(*name), *name, &data_type);
+    } else {
+      ParseMultiInputDataType(ctx.MultiInputVar(*name), *name, &data_type);
+    }
   }
   PADDLE_ENFORCE_NE(
       data_type, dafault_data_type,
@@ -2032,7 +2066,11 @@ proto::VarType::Type OperatorWithKernel::IndicateVarDataType(
   proto::VarType::Type dafault_data_type =
       static_cast<proto::VarType::Type>(-1);
   proto::VarType::Type data_type = dafault_data_type;
-  ParseInputDataType(ctx.MultiInputVar(name), name, &data_type);
+  if (ctx.InputSize(name) == 1UL) {
+    ParseInputDataType(ctx.InputVar(name), name, &data_type);
+  } else {
+    ParseMultiInputDataType(ctx.MultiInputVar(name), name, &data_type);
+  }
   PADDLE_ENFORCE_NE(
       data_type, dafault_data_type,
       platform::errors::InvalidArgument(

paddle/fluid/framework/operator.h

@@ -43,7 +43,6 @@ limitations under the License. */
 #include "paddle/fluid/framework/convert_utils.h"
 #include "paddle/phi/core/compat/arg_map_context.h"
 #include "paddle/phi/core/compat/op_utils.h"
-#include "paddle/phi/core/kernel_context.h"
 #include "paddle/phi/core/kernel_factory.h"
 
 namespace paddle {
@@ -55,6 +54,10 @@ class Variable;
 }  // namespace framework
 }  // namespace paddle
 
+namespace phi {
+class KernelContext;
+}
+
 DECLARE_int32(inner_op_parallelism);
 
 namespace paddle {
@@ -330,12 +333,12 @@ class ExecutionContext {
     return it->second;
   }
 
-  virtual std::vector<std::string> InNameList() const {
-    std::vector<std::string> vec_temp;
+  virtual paddle::SmallVector<const std::string*> InNameList() const {
+    paddle::SmallVector<const std::string*> vec_temp;
     vec_temp.reserve(ctx_.inputs.size());
 
     for (auto& input : ctx_.inputs) {
-      vec_temp.push_back(input.first);
+      vec_temp.push_back(&input.first);
     }
 
     return vec_temp;
@@ -677,9 +680,11 @@ class OperatorWithKernel : public OperatorBase {
   // By default all input data must be same.
   proto::VarType::Type IndicateDataType(const ExecutionContext& ctx) const;
   // used for IndicateDataType
-  void ParseInputDataType(const std::vector<Variable*>& vars,
-                          const std::string& name,
+  void ParseInputDataType(const Variable* vars, const std::string& name,
                           proto::VarType::Type* data_type) const;
+  void ParseMultiInputDataType(const std::vector<Variable*>& vars,
+                               const std::string& name,
+                               proto::VarType::Type* data_type) const;
   // used for IndicateOrPromoteVarDataTypes
   Tensor* GetTensorFormInputSafely(const ExecutionContext& ctx,
                                    const std::string& name) const;

paddle/fluid/imperative/execution_context.h

@@ -117,12 +117,12 @@ class DygraphExecutionContext : public framework::ExecutionContext {
     return it->second;
   }
 
-  std::vector<std::string> InNameList() const override {
-    std::vector<std::string> vec_temp;
+  paddle::SmallVector<const std::string*> InNameList() const override {
+    paddle::SmallVector<const std::string*> vec_temp;
     vec_temp.reserve(var_map_in_.size());
 
     for (auto& v : var_map_in_) {
-      vec_temp.push_back(v.first);
+      vec_temp.push_back(&v.first);
     }
 
     return vec_temp;
@@ -144,11 +144,19 @@ class DygraphExecutionContext : public framework::ExecutionContext {
   }
 
   size_t InputSize(const std::string& name) const override {
-    return InputNames(name).size();
+    auto it = var_map_in_.find(name);
+    PADDLE_ENFORCE_NE(
+        it, var_map_in_.end(),
+        platform::errors::NotFound("Can not find [%s] in Input", name));
+    return it->second.size();
   }
 
   size_t OutputSize(const std::string& name) const override {
-    return OutputNames(name).size();
+    auto it = var_map_out_.find(name);
+    PADDLE_ENFORCE_NE(
+        it, var_map_out_.end(),
+        platform::errors::NotFound("Can not find [%s] in Output", name));
+    return it->second.size();
   }
 
   const Variable* InputVar(const std::string& name) const override {

paddle/fluid/imperative/prepared_operator.h

@@ -31,6 +31,7 @@
 
 #include "paddle/fluid/framework/convert_utils.h"
 #include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/kernel_context.h"
 #include "paddle/phi/core/selected_rows.h"
 
 DECLARE_bool(use_mkldnn);

paddle/fluid/operators/transpose_op.cc

@@ -90,7 +90,7 @@ class TransposeOp : public framework::OperatorWithKernel {
   framework::OpKernelType GetExpectedKernelType(
       const framework::ExecutionContext &ctx) const override {
     framework::LibraryType library_{framework::LibraryType::kPlain};
-    std::string data_format = ctx.Attr<std::string>("data_format");
+    auto &data_format = ctx.Attr<std::string>("data_format");
     framework::DataLayout layout_ = framework::StringToDataLayout(data_format);
     auto data_type = OperatorWithKernel::IndicateVarDataType(ctx, "X");
 #ifdef PADDLE_WITH_MKLDNN

paddle/phi/core/attribute.h

@@ -0,0 +1,50 @@
+//   Copyright (c) 2022 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 <vector>
+
+#include "paddle/phi/common/data_type.h"
+#include "paddle/phi/common/int_array.h"
+#include "paddle/phi/common/layout.h"
+#include "paddle/phi/common/scalar.h"
+#include "paddle/utils/variant.h"
+
+namespace phi {
+
+class Place;
+
+// NOTE: Add needed type in the future
+using Attribute = paddle::variant<bool,
+                                  int,
+                                  int64_t,
+                                  float,
+                                  double,
+                                  std::string,
+                                  std::vector<bool>,
+                                  std::vector<int>,
+                                  std::vector<int64_t>,
+                                  std::vector<float>,
+                                  std::vector<double>,
+                                  std::vector<std::string>,
+                                  Scalar,
+                                  std::vector<Scalar>,
+                                  IntArray,
+                                  DataType,
+                                  DataLayout,
+                                  Place>;
+
+}  // namespace phi

paddle/phi/core/infermeta_utils.cc

@@ -30,7 +30,7 @@ void InferMetaContext::EmplaceBackOutput(MetaTensor output) {
   outputs_.emplace_back(std::move(output));
   output_range_.emplace_back(std::pair<int, int>(index, index + 1));
 }
-void InferMetaContext::EmplaceBackAttr(paddle::any attr) {
+void InferMetaContext::EmplaceBackAttr(Attribute attr) {
   attrs_.emplace_back(std::move(attr));
 }
 
@@ -120,6 +120,38 @@ std::vector<MetaTensor*> InferMetaContext::MutableOutputBetween(size_t start,
   return result;
 }
 
+template <typename AttrType>
+const AttrType& InferMetaContext::AttrAt(size_t idx) const {
+  try {
+    return paddle::get<AttrType>(attrs_.at(idx));
+  } catch (paddle::bad_variant_access const& e) {
+    PADDLE_THROW(phi::errors::InvalidArgument(
+        "Attribute cast error in InferMeta Context, the expected attribute "
+        "type is `%s`.",
+        std::type_index(typeid(AttrType)).name()));
+  }
+}
+
+template const bool& InferMetaContext::AttrAt(size_t idx) const;
+template const int& InferMetaContext::AttrAt(size_t idx) const;
+template const int64_t& InferMetaContext::AttrAt(size_t idx) const;
+template const float& InferMetaContext::AttrAt(size_t idx) const;
+template const double& InferMetaContext::AttrAt(size_t idx) const;
+template const std::string& InferMetaContext::AttrAt(size_t idx) const;
+template const std::vector<bool>& InferMetaContext::AttrAt(size_t idx) const;
+template const std::vector<int>& InferMetaContext::AttrAt(size_t idx) const;
+template const std::vector<int64_t>& InferMetaContext::AttrAt(size_t idx) const;
+template const std::vector<float>& InferMetaContext::AttrAt(size_t idx) const;
+template const std::vector<double>& InferMetaContext::AttrAt(size_t idx) const;
+template const std::vector<std::string>& InferMetaContext::AttrAt(
+    size_t idx) const;
+template const Scalar& InferMetaContext::AttrAt(size_t idx) const;
+template const std::vector<Scalar>& InferMetaContext::AttrAt(size_t idx) const;
+template const IntArray& InferMetaContext::AttrAt(size_t idx) const;
+template const DataType& InferMetaContext::AttrAt(size_t idx) const;
+template const DataLayout& InferMetaContext::AttrAt(size_t idx) const;
+template const Place& InferMetaContext::AttrAt(size_t idx) const;
+
 MetaFnFactory& MetaFnFactory::Instance() {
   static MetaFnFactory g_meta_fn_map;
   return g_meta_fn_map;