/* 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. */
// disable numpy compile error
#include <Python.h>

#include <string>
#include <vector>

#include "paddle/fluid/eager/accumulation/accumulation_node.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/utils.h"
#include "paddle/fluid/memory/allocation/allocator.h"
#include "paddle/fluid/memory/memcpy.h"
#include "paddle/fluid/platform/enforce.h"
#include "paddle/fluid/pybind/eager.h"
#include "paddle/fluid/pybind/eager_utils.h"
#include "paddle/fluid/pybind/exception.h"
#include "paddle/pten/common/data_type.h"
#include "paddle/pten/core/compat/convert_utils.h"
#include "paddle/pten/core/dense_tensor.h"
#pragma GCC diagnostic ignored "-Wwrite-strings"

namespace paddle {
namespace pybind {

extern PyTypeObject* p_tensor_type;

PyObject* tensor_properties_get_name(TensorObject* self, void* closure) {
  EAGER_TRY
  return ToPyObject(self->tensor.name());
  EAGER_CATCH_AND_THROW_RETURN_NULL
}

PyObject* tensor_properties_get_type(TensorObject* self, void* closure) {
  EAGER_TRY
  if (self->tensor.is_dense_tensor()) {
    return ToPyObject(paddle::framework::proto::VarType::LOD_TENSOR);
  } else {
    Py_INCREF(Py_None);
    return Py_None;
  }
  EAGER_CATCH_AND_THROW_RETURN_NULL
}

int tensor_properties_set_name(TensorObject* self, PyObject* value,
                               void* closure) {
  EAGER_TRY
  self->tensor.set_name(CastPyArg2AttrString(value, 0));
  return 0;
  EAGER_CATCH_AND_THROW_RETURN_ZERO
}

PyObject* tensor_properties_get_stop_gradient(TensorObject* self,
                                              void* closure) {
  EAGER_TRY
  auto meta = egr::EagerUtils::autograd_meta(&self->tensor);
  return ToPyObject(meta->StopGradient());
  EAGER_CATCH_AND_THROW_RETURN_NULL
}

PyObject* tensor_properties_get_grad(TensorObject* self, void* closure) {
  EAGER_TRY
  if (egr::egr_utils_api::IsLeafTensor(self->tensor)) {
    std::shared_ptr<egr::GradNodeBase> grad_node =
        egr::EagerUtils::grad_node(self->tensor);
    PADDLE_ENFORCE(
        grad_node.get() != nullptr,
        paddle::platform::errors::Fatal("Detected NULL grad_node"
                                        "Leaf tensor should have had grad_node "
                                        "with type: GradNodeAccumulation"));
    auto accumulation_grad_node =
        std::dynamic_pointer_cast<egr::GradNodeAccumulation>(grad_node);
    return ToPyObject(*accumulation_grad_node->Grad());
  } else {
    VLOG(6) << "Get grad for tensor: " << self->tensor.name();
    auto meta = egr::EagerUtils::nullable_autograd_meta(self->tensor);
    if (meta) {
      return ToPyObject(meta->Grad());
    } else {
      Py_INCREF(Py_None);
      return Py_None;
    }
  }
  EAGER_CATCH_AND_THROW_RETURN_NULL
}

int tensor_properties_set_grad(TensorObject* self, PyObject* value,
                               void* closure) {
  EAGER_TRY
  auto src = CastPyArg2Tensor(value, 0);
  PADDLE_ENFORCE(
      egr::egr_utils_api::IsLeafTensor(self->tensor),
      paddle::platform::errors::Fatal("Only leaf Tensor can be set grad."));
  std::shared_ptr<egr::GradNodeBase> grad_node =
      egr::EagerUtils::grad_node(self->tensor);
  PADDLE_ENFORCE(
      grad_node.get() != nullptr,
      paddle::platform::errors::Fatal("Detected NULL grad_node"
                                      "Leaf tensor should have had grad_node "
                                      "with type: GradNodeAccumulation"));
  auto accumulation_grad_node =
      std::dynamic_pointer_cast<egr::GradNodeAccumulation>(grad_node);
  accumulation_grad_node->Grad()->copy_(src, true);
  return 0;
  EAGER_CATCH_AND_THROW_RETURN_ZERO
}

int tensor_properties_set_stop_gradient(TensorObject* self, PyObject* value,
                                        void* closure) {
  EAGER_TRY
  auto meta = egr::EagerUtils::autograd_meta(&self->tensor);
  meta->SetStopGradient(CastPyArg2AttrBoolean(value, 0));
  return 0;
  EAGER_CATCH_AND_THROW_RETURN_ZERO
}

PyObject* tensor_properties_get_persistable(TensorObject* self, void* closure) {
  EAGER_TRY
  auto meta = egr::EagerUtils::autograd_meta(&self->tensor);
  return ToPyObject(meta->Persistable());
  EAGER_CATCH_AND_THROW_RETURN_NULL
}

int tensor_properties_set_persistable(TensorObject* self, PyObject* value,
                                      void* closure) {
  EAGER_TRY
  auto meta = egr::EagerUtils::autograd_meta(&self->tensor);
  meta->SetPersistable(CastPyArg2AttrBoolean(value, 0));
  return 0;
  EAGER_CATCH_AND_THROW_RETURN_ZERO
}

PyObject* tensor_properties_get_shape(TensorObject* self, void* closure) {
  EAGER_TRY
  auto ddim = self->tensor.shape();
  std::vector<int64_t> value;
  size_t rank = static_cast<size_t>(ddim.size());
  value.resize(rank);
  for (size_t i = 0; i < rank; i++) {
    value[i] = ddim[i];
  }

  return ToPyObject(value);
  EAGER_CATCH_AND_THROW_RETURN_NULL
}

PyObject* tensor_properties_get_place(TensorObject* self, void* closure) {
  EAGER_TRY
  return ToPyObject(self->tensor.inner_place());
  EAGER_CATCH_AND_THROW_RETURN_NULL
}

PyObject* tensor_properties_get_place_str(TensorObject* self, void* closure) {
  EAGER_TRY
  std::stringstream ostr;
  ostr << self->tensor.inner_place();
  return ToPyObject(ostr.str());
  EAGER_CATCH_AND_THROW_RETURN_NULL
}

PyObject* tensor_properties_get_dtype(TensorObject* self, void* closure) {
  EAGER_TRY
  return ToPyObject(
      paddle::framework::TransToProtoVarType(self->tensor.type()));
  EAGER_CATCH_AND_THROW_RETURN_NULL
}

struct PyGetSetDef variable_properties[] = {
    {"grad", (getter)tensor_properties_get_grad,
     (setter)tensor_properties_set_grad, nullptr, nullptr},
    {"name", (getter)tensor_properties_get_name,
     (setter)tensor_properties_set_name, nullptr, nullptr},
    {"stop_gradient", (getter)tensor_properties_get_stop_gradient,
     (setter)tensor_properties_set_stop_gradient, nullptr, nullptr},
    {"persistable", (getter)tensor_properties_get_persistable,
     (setter)tensor_properties_set_persistable, nullptr, nullptr},
    {"shape", (getter)tensor_properties_get_shape, nullptr, nullptr, nullptr},
    // {"is_leaf", (getter)tensor_properties_get_is_leaf, nullptr,
    // nullptr,
    //  nullptr},
    {"place", (getter)tensor_properties_get_place, nullptr, nullptr, nullptr},
    {"_place_str", (getter)tensor_properties_get_place_str, nullptr, nullptr,
     nullptr},
    {"dtype", (getter)tensor_properties_get_dtype, nullptr, nullptr, nullptr},
    {"type", (getter)tensor_properties_get_type, nullptr, nullptr, nullptr},
    {nullptr, nullptr, nullptr, nullptr, nullptr}};

}  // namespace pybind
}  // namespace paddle
