eager_utils.h

/* 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. */
#pragma once

#include <Python.h>
#include "paddle/phi/common/backend.h"
#include "paddle/phi/common/data_type.h"
#include "paddle/phi/common/scalar.h"
#include "paddle/phi/common/scalar_array.h"
#include "paddle/phi/core/dense_tensor.h"

#include "pybind11/pybind11.h"
#include "pybind11/stl.h"
namespace paddle {
class CustomOpKernelContext;
namespace framework {
class Scope;
}
namespace pybind {

typedef struct {
  PyObject_HEAD paddle::experimental::Tensor tensor;
} TensorObject;

int TensorDtype2NumpyDtype(phi::DataType dtype);

bool PyObject_CheckLongOrConvertToLong(PyObject** obj);
bool PyObject_CheckFloatOrConvertToFloat(PyObject** obj);
bool PyObject_CheckStr(PyObject* obj);
bool CastPyArg2AttrBoolean(PyObject* obj, ssize_t arg_pos);
int CastPyArg2AttrInt(PyObject* obj, ssize_t arg_pos);
int64_t CastPyArg2AttrLong(PyObject* obj, ssize_t arg_pos);
float CastPyArg2AttrFloat(PyObject* obj, ssize_t arg_pos);
std::string CastPyArg2AttrString(PyObject* obj, ssize_t arg_pos);
paddle::CustomOpKernelContext CastPyArg2CustomOpKernelContext(PyObject* obj,
                                                              ssize_t arg_pos);
paddle::experimental::Tensor CastPyArg2Tensor(PyObject* obj, ssize_t arg_pos);
std::shared_ptr<imperative::VarBase> CastPyArg2VarBase(PyObject* obj,
                                                       ssize_t arg_pos);
std::vector<paddle::experimental::Tensor> CastPyArg2VectorOfTensor(
    PyObject* obj, ssize_t arg_pos);
platform::Place CastPyArg2Place(PyObject* obj, ssize_t arg_pos);
framework::Tensor CastPyArg2FrameworkTensor(PyObject* obj, ssize_t arg_pos);
std::vector<framework::LoDTensor> CastPyArg2VectorOfTensorBase(PyObject* obj,
                                                               ssize_t arg_pos);
std::vector<int> CastPyArg2VectorOfInt(PyObject* obj, size_t arg_pos);
framework::proto::VarType::Type CastPyArg2ProtoType(PyObject* obj,
                                                    ssize_t arg_pos);

PyObject* ToPyObject(int value);
PyObject* ToPyObject(bool value);
PyObject* ToPyObject(int64_t value);
PyObject* ToPyObject(float value);
PyObject* ToPyObject(double value);
PyObject* ToPyObject(const char* value);
PyObject* ToPyObject(const std::string& value);
PyObject* ToPyObject(const paddle::experimental::Tensor& value);
PyObject* ToPyObject(const std::vector<bool>& value);
PyObject* ToPyObject(const std::vector<int>& value);
PyObject* ToPyObject(const std::vector<int64_t>& value);
PyObject* ToPyObject(const std::vector<float>& value);
PyObject* ToPyObject(const std::vector<double>& value);
PyObject* ToPyObject(const std::vector<paddle::experimental::Tensor>& value);
PyObject* ToPyObject(const platform::Place& value);
PyObject* ToPyObject(const framework::LoDTensor* value);
PyObject* ToPyObject(const paddle::framework::proto::VarType::Type& dtype);
PyObject* ToPyObject(const paddle::framework::proto::VarType& type);
PyObject* ToPyObject(const void* value);
PyObject* ToPyObject(
    const std::unordered_map<std::string, std::vector<std::string>>& value);

template <typename Tuple, size_t N>
struct TupleTensorResult {
  static void Run(const Tuple& out, PyObject* result) {
    TupleTensorResult<Tuple, N - 1>::Run(out, result);
    PyTuple_SET_ITEM(result, N - 1, ToPyObject(std::get<N - 1>(out)));
  }
};

template <typename Tuple>
struct TupleTensorResult<Tuple, 1> {
  static void Run(const Tuple& out, PyObject* result) {
    PyTuple_SET_ITEM(result, 0, ToPyObject(std::get<0>(out)));
  }
};

template <typename... Args>
PyObject* ToPyObject(const std::tuple<Args...>& out) {
  auto len = sizeof...(Args);
  PyObject* result = PyTuple_New(len);

  TupleTensorResult<decltype(out), sizeof...(Args)>::Run(out, result);

  return result;
}

paddle::experimental::Scalar CastPyArg2Scalar(PyObject* obj,
                                              const std::string& op_type,
                                              ssize_t arg_pos);

paddle::experimental::ScalarArray CastPyArg2ScalarArray(
    PyObject* obj, const std::string& op_type, ssize_t arg_pos);

paddle::experimental::Backend CastPyArg2Backend(PyObject* obj,
                                                const std::string& op_type,
                                                ssize_t arg_pos);

paddle::experimental::DataType CastPyArg2DataType(PyObject* obj,
                                                  const std::string& op_type,
                                                  ssize_t arg_pos);

paddle::optional<paddle::experimental::Tensor> GetOptionalTensorFromArgs(
    const std::string& op_type, const std::string& arg_name, PyObject* args,
    ssize_t arg_idx, bool dispensable = false);

paddle::experimental::Tensor& GetTensorFromArgs(const std::string& op_type,
                                                const std::string& arg_name,
                                                PyObject* args, ssize_t arg_idx,
                                                bool dispensable = false);

std::vector<paddle::experimental::Tensor> GetTensorListFromArgs(
    const std::string& op_type, const std::string& arg_name, PyObject* args,
    ssize_t arg_idx, bool dispensable = false);

paddle::experimental::Tensor* GetTensorPtrFromArgs(const std::string& op_type,
                                                   const std::string& arg_name,
                                                   PyObject* args,
                                                   ssize_t arg_idx,
                                                   bool dispensable = false);

std::vector<paddle::experimental::Tensor*> GetTensorPtrListFromArgs(
    const std::string& op_type, const std::string& arg_name, PyObject* args,
    ssize_t arg_idx, bool dispensable = false);

// end of Slice related methods

std::vector<paddle::framework::Scope*> GetScopePtrListFromArgs(
    const std::string& op_type, const std::string& arg_name, PyObject* args,
    ssize_t arg_idx, bool dispensable);

}  // namespace pybind
}  // namespace paddle