Added fluid dependencies to Eager Dygraph #2 (#37556)

paddle/fluid/eager/legacy/infer_var_type_context.h

@@ -0,0 +1,258 @@
+// Copyright (c) 2020 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 <string>
+#include <unordered_map>
+#include <vector>
+#include "paddle/fluid/eager/eager_tensor.h"
+#include "paddle/fluid/eager/legacy/tensor_helper.h"
+#include "paddle/fluid/eager/legacy/type_def.h"
+#include "paddle/fluid/framework/type_defs.h"
+#include "paddle/fluid/framework/var_type.h"
+#include "paddle/fluid/framework/var_type_inference.h"
+#include "paddle/fluid/framework/var_type_traits.h"
+#include "paddle/pten/api/all.h"
+#include "paddle/pten/include/core.h"
+
+namespace egr {
+
+// infer var type context for imperative mode
+class TensorRuntimeInferVarTypeContext
+    : public paddle::framework::InferVarTypeContext {
+ public:
+  TensorRuntimeInferVarTypeContext(
+      const NameTensorMap& inputs, const NameTensorMap& outputs,
+      const paddle::framework::AttributeMap& attrs_map,
+      const paddle::framework::AttributeMap& default_attrs_map)
+      : InferVarTypeContext(nullptr, nullptr),
+        inputs_(inputs),
+        outputs_(outputs),
+        attrs_(attrs_map),
+        default_attrs_(default_attrs_map) {}
+
+  virtual ~TensorRuntimeInferVarTypeContext() {}
+
+  paddle::framework::Attribute GetAttr(const std::string& name) const override {
+    auto it = attrs_.find(name);
+
+    if (it == attrs_.end()) {
+      it = default_attrs_.find(name);
+      if (it == default_attrs_.end()) {
+        PADDLE_THROW(paddle::platform::errors::NotFound(
+            "Can not find [%s] in attributes.", name));
+      }
+    }
+
+    return it->second;
+  }
+
+  bool HasInput(const std::string& name) const override {
+    auto it = inputs_.find(name);
+    return (it != inputs_.end() && it->second.size() > 0);
+  }
+
+  bool HasOutput(const std::string& name) const override {
+    auto it = outputs_.find(name);
+    return (it != outputs_.end() && it->second.size() > 0);
+  }
+
+  size_t InputSize(const std::string& name) const {
+    return inputs_.at(name).size();
+  }
+
+  const std::string& InputVarName(const std::string& name,
+                                  const int index = 0) const {
+    // TODO(jiabin): Support this usage inputs_.at(name)[index]->Name()
+    auto it = inputs_.find(name);
+    PADDLE_ENFORCE_NE(it, inputs_.end(),
+                      paddle::platform::errors::PreconditionNotMet(
+                          "Can not find [%s] in Input", name));
+    return inputs_.at(name)[index]->name();
+  }
+
+  bool InputTypeAnyOf(
+      const std::string& name,
+      paddle::framework::proto::VarType::Type type) const override {
+    auto& inputs = inputs_.at(name);
+    return std::any_of(
+        inputs.begin(), inputs.end(),
+        [&type](const std::shared_ptr<egr::EagerTensor>& var) {
+          return paddle::framework::ToVarType(var->Var().Type()) == type;
+        });
+  }
+
+  bool InputTypeAllOf(
+      const std::string& name,
+      paddle::framework::proto::VarType::Type type) const override {
+    auto& inputs = inputs_.at(name);
+    return std::all_of(
+        inputs.begin(), inputs.end(),
+        [&type](const std::shared_ptr<egr::EagerTensor>& var) {
+          return paddle::framework::ToVarType(var->Var().Type()) == type;
+        });
+  }
+
+  void SyncTypeAndDataType(const std::string& input_name,
+                           const std::string& output_name,
+                           int index = 0) override {
+    auto in_tensor = inputs_.at(input_name)[index];
+    auto out_tensor = outputs_.at(output_name)[index];
+    if (in_tensor != out_tensor) {
+      this->SetTensorType(
+          out_tensor, paddle::framework::ToVarType(in_tensor->Var().Type()));
+    }
+  }
+
+  void SetOutputType(const std::string& name,
+                     paddle::framework::proto::VarType::Type type,
+                     int index = 0) override {
+    if (index == paddle::framework::ALL_ELEMENTS) {
+      for (auto& item : outputs_.at(name)) {
+        this->SetTensorType(item, type);
+      }
+    } else {
+      auto& var = outputs_.at(name)[index];
+      this->SetTensorType(var, type);
+    }
+  }
+
+  void SetTensorType(std::shared_ptr<egr::EagerTensor> out,
+                     paddle::framework::proto::VarType::Type type) {
+    switch (type) {
+      case paddle::framework::proto::VarType::LOD_TENSOR: {
+        out->MutableVar()->GetMutable<paddle::framework::LoDTensor>();
+        break;
+      }
+      default: {
+        PADDLE_THROW(paddle::platform::errors::NotFound(
+            "Cannot found var type: %s while running runtime InferVarType",
+            paddle::framework::ToTypeName(type)));
+      }
+    }
+  }
+
+  paddle::framework::proto::VarType::Type GetInputType(
+      const std::string& name, const int& index = 0) const override {
+    return paddle::framework::ToVarType(inputs_.at(name)[index]->Var().Type());
+  }
+
+  paddle::framework::proto::VarType::Type GetOutputType(
+      const std::string& name, const int& index = 0) const override {
+    return paddle::framework::ToVarType(outputs_.at(name)[index]->Var().Type());
+  }
+
+  paddle::framework::proto::VarType::Type GetInputDataType(
+      const std::string& name, const int& index = 0) const override {
+    return inputs_.at(name)[index]
+        ->Var()
+        .Get<paddle::framework::LoDTensor>()
+        .type();
+  }
+
+  void SetOutputDataType(const std::string& name,
+                         paddle::framework::proto::VarType::Type type,
+                         int index = 0) override {
+    // TODO(jiabin): It seems doesn't make sense to set data_type in EagerMode.
+  }
+
+  bool IsDygraph() const override { return true; }
+
+ protected:
+  bool HasVar(const std::string& name) const override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "HasVar is not supported in runtime InferVarType"));
+  }
+
+  const std::vector<std::string>& InputVars(
+      const std::string& name) const override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "InputVars is not supported in runtime InferVarType"));
+  }
+
+  const std::vector<std::string>& OutputVars(
+      const std::string& name) const override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "OutputVars is not supported in runtime InferVarType"));
+  }
+
+  paddle::framework::proto::VarType::Type GetVarType(
+      const std::string& name) const override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "Do not manipulate var in runtime InferVarType"));
+  }
+
+  void SetVarType(const std::string& name,
+                  paddle::framework::proto::VarType::Type type) override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "Do not manipulate var in runtime InferVarType"));
+  }
+
+  paddle::framework::proto::VarType::Type GetVarDataType(
+      const std::string& name) const override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "Do not manipulate var in runtime InferVarType"));
+  }
+
+  void SetVarDataType(const std::string& name,
+                      paddle::framework::proto::VarType::Type type) override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "Do not manipulate var in runtime InferVarType"));
+  }
+
+  std::vector<paddle::framework::proto::VarType::Type> GetVarDataTypes(
+      const std::string& name) const override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "GetVarDataTypes is not supported in runtime InferVarType"));
+  }
+
+  void SetVarDataTypes(
+      const std::string& name,
+      const std::vector<paddle::framework::proto::VarType::Type>&
+          multiple_data_type) override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "SetVarDataTypes is not supported in runtime InferVarType"));
+  }
+
+  std::vector<int64_t> GetVarShape(const std::string& name) const override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "Do not handle Shape in runtime InferVarType"));
+  }
+
+  void SetVarShape(const std::string& name,
+                   const std::vector<int64_t>& dims) override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "Do not handle Shape in runtime InferVarType"));
+  }
+
+  int32_t GetVarLoDLevel(const std::string& name) const override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "Do not handle LoDLevel in runtime InferVarType"));
+  }
+
+  void SetVarLoDLevel(const std::string& name, int32_t lod_level) override {
+    PADDLE_THROW(paddle::platform::errors::PermissionDenied(
+        "Do not handle LoDLevel in runtime InferVarType"));
+  }
+
+ private:
+  const NameTensorMap& inputs_;
+  const NameTensorMap& outputs_;
+  const paddle::framework::AttributeMap& attrs_;
+  const paddle::framework::AttributeMap& default_attrs_;
+};
+
+}  // namespace egr