// 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 <glog/logging.h>

#include "paddle/infrt/tensor/dense_host_tensor.h"

namespace infrt::tensor {

template <typename DType>
class DTArrayView {
 public:
  using UnderlyingT = DenseHostTensor;

  explicit DTArrayView(const DenseHostTensor* tensor) : tensor_(*tensor) {}

  const TensorShape& shape() { return tensor_.shape(); }

  size_t GetNumElements() const { return tensor_.shape().GetNumElements(); }

  const DType* data() const {
    return static_cast<const DType*>(tensor_.raw_data());
  }
  DType* data() { return static_cast<DType*>(tensor_.raw_data()); }

  llvm::ArrayRef<DType> Elements() const {
    return llvm::ArrayRef<DType>(data(), GetNumElements());
  }

 private:
  const DenseHostTensor& tensor_;
};

template <typename DType>
class MutableDTArrayView : public DTArrayView<DType> {
 public:
  explicit MutableDTArrayView(DenseHostTensor* tensor)
      : DTArrayView<DType>(tensor) {}

  void Fill(const DType& v) {
    std::fill(this->data(), this->data() + this->GetNumElements(), v);
  }

  using DTArrayView<DType>::data;
  using DTArrayView<DType>::GetNumElements;
  llvm::MutableArrayRef<DType> Elements() {
    return llvm::MutableArrayRef<DType>(data(), this->GetNumElements());
  }
};

}  // namespace infrt::tensor