// !!! This is a file automatically generated by hipify!!!
/*
 * Copyright (c) 2020-2021, NVIDIA CORPORATION.  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 "src/fastertransformer/utils/Tensor.h"
#include "torch/csrc/cuda/Stream.h"
#include "torch/extension.h"
#include <ATen/hip/HIPContext.h>
#include <cstdio>
#include <hip/hip_fp16.h>
#include <hip/hip_runtime.h>
#include <iostream>
#include <roctracer/roctx.h>
#include <torch/custom_class.h>
#include <torch/script.h>
#include <vector>

#define CHECK_TYPE(x, st) TORCH_CHECK(x.scalar_type() == st, "Inconsistency of Tensor type: " #x)
#define CHECK_TH_CUDA(x) TORCH_CHECK(x.is_cuda(), #x " must be a CUDA tensor")
#define CHECK_CPU(x) TORCH_CHECK(!x.is_cuda(), #x " must be a CPU tensor")
#define CHECK_CONTIGUOUS(x) TORCH_CHECK(x.is_contiguous(), #x " must be contiguous")
#define CHECK_INPUT(x, st)                                                                                             \
    CHECK_TH_CUDA(x);                                                                                                  \
    CHECK_CONTIGUOUS(x);                                                                                               \
    CHECK_TYPE(x, st)
#define PRINT_TENSOR(x) std::cout << #x << ":\n" << x << std::endl
#define PRINT_TENSOR_SIZE(x) std::cout << "size of " << #x << ": " << x.sizes() << std::endl

namespace torch_ext {

template<typename T>
inline T* get_ptr(torch::Tensor& t)
{
    return reinterpret_cast<T*>(t.data_ptr());
}

std::vector<size_t> convert_shape(torch::Tensor tensor);

template<typename T>
fastertransformer::Tensor convert_tensor(torch::Tensor tensor);

}  // namespace torch_ext
