/*******************************************************************************
* Copyright 2019-2021 Intel Corporation
*
* 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.
*******************************************************************************/

#ifndef GPU_OCL_OCL_UTILS_HPP
#define GPU_OCL_OCL_UTILS_HPP

#include <cinttypes>
#include <memory>
#include <sstream>
#include <string.h>
#include <string>
#include <utility>
#include <vector>
#include <CL/cl.h>
#include <initializer_list>
#include <type_traits>
#include <unordered_map>
#include <unordered_set>

#include "common/c_types_map.hpp"
#include "common/internal_defs.hpp"
#include "common/utils.hpp"
#include "common/verbose.hpp"
#include "gpu/compute/kernel_arg_list.hpp"
#include "gpu/compute/utils.hpp"

namespace dnnl {
namespace impl {
namespace gpu {

namespace compute {
class kernel_t;
}

namespace ocl {

inline status_t convert_to_dnnl(cl_int cl_status) {
    switch (cl_status) {
        case CL_SUCCESS: return status::success;
        case CL_MEM_OBJECT_ALLOCATION_FAILURE:
        case CL_OUT_OF_RESOURCES:
        case CL_OUT_OF_HOST_MEMORY: return status::out_of_memory;
        case CL_DEVICE_NOT_FOUND:
        case CL_DEVICE_NOT_AVAILABLE:
        case CL_COMPILER_NOT_AVAILABLE:
        case CL_PROFILING_INFO_NOT_AVAILABLE:
        case CL_MEM_COPY_OVERLAP:
        case CL_IMAGE_FORMAT_MISMATCH:
        case CL_IMAGE_FORMAT_NOT_SUPPORTED:
        case CL_BUILD_PROGRAM_FAILURE:
        case CL_MAP_FAILURE:
        case CL_MISALIGNED_SUB_BUFFER_OFFSET:
        case CL_EXEC_STATUS_ERROR_FOR_EVENTS_IN_WAIT_LIST:
        case CL_COMPILE_PROGRAM_FAILURE:
        case CL_LINKER_NOT_AVAILABLE:
        case CL_LINK_PROGRAM_FAILURE:
        case CL_DEVICE_PARTITION_FAILED:
        case CL_KERNEL_ARG_INFO_NOT_AVAILABLE: return status::runtime_error;
        case CL_INVALID_VALUE:
        case CL_INVALID_DEVICE_TYPE:
        case CL_INVALID_CONTEXT:
        case CL_INVALID_QUEUE_PROPERTIES:
        case CL_INVALID_COMMAND_QUEUE:
        case CL_INVALID_HOST_PTR:
        case CL_INVALID_MEM_OBJECT:
        case CL_INVALID_IMAGE_FORMAT_DESCRIPTOR:
        case CL_INVALID_IMAGE_SIZE:
        case CL_INVALID_SAMPLER:
        case CL_INVALID_BINARY:
        case CL_INVALID_BUILD_OPTIONS:
        case CL_INVALID_PROGRAM:
        case CL_INVALID_PROGRAM_EXECUTABLE:
        case CL_INVALID_KERNEL_NAME:
        case CL_INVALID_KERNEL_DEFINITION: // FI
        case CL_INVALID_KERNEL:
        case CL_INVALID_ARG_INDEX:
        case CL_INVALID_ARG_VALUE: return status::invalid_arguments;

        default: return status::runtime_error;
    }
}

enum { OCL_BUFFER_ALIGNMENT = 128 };

#define MAYBE_REPORT_ERROR(msg) \
    do { \
        if (get_verbose()) printf("dnnl_verbose,gpu,error,%s\n", (msg)); \
    } while (0)

#define MAYBE_REPORT_OCL_ERROR(s) \
    do { \
        if (dnnl::impl::get_verbose()) \
            printf("dnnl_verbose,gpu,ocl_error,%d\n", (int)(s)); \
    } while (0)

#define OCL_CHECK_V(x) \
    do { \
        cl_int s = x; \
        if (s != CL_SUCCESS) { \
            MAYBE_REPORT_OCL_ERROR(s); \
            return; \
        } \
    } while (0)

#define OCL_CHECK(x) \
    do { \
        cl_int s = x; \
        if (s != CL_SUCCESS) { \
            MAYBE_REPORT_OCL_ERROR(s); \
            return dnnl::impl::gpu::ocl::convert_to_dnnl(s); \
        } \
    } while (0)

// Check for two conditions:
// 1. Device and context are compatible, i.e. the device belongs to
//    the context devices.
// 2. Device type matches the passed engine kind
inline status_t check_device(
        engine_kind_t eng_kind, cl_device_id dev, cl_context ctx) {
    assert(dev && ctx);

    size_t dev_bytes;
    OCL_CHECK(
            clGetContextInfo(ctx, CL_CONTEXT_DEVICES, 0, nullptr, &dev_bytes));

    std::vector<cl_device_id> ctx_devices(dev_bytes / sizeof(cl_device_id));
    OCL_CHECK(clGetContextInfo(
            ctx, CL_CONTEXT_DEVICES, dev_bytes, &ctx_devices[0], nullptr));

    for (size_t i = 0; i < ctx_devices.size(); ++i) {
        if (ctx_devices[i] == dev) {
            cl_device_type dev_type;
            OCL_CHECK(clGetDeviceInfo(
                    dev, CL_DEVICE_TYPE, sizeof(dev_type), &dev_type, NULL));
            if ((eng_kind == engine_kind::cpu)
                    && (dev_type & CL_DEVICE_TYPE_CPU) == 0) {
                return status::invalid_arguments;
            }
            if ((eng_kind == engine_kind::gpu)
                    && (dev_type & CL_DEVICE_TYPE_GPU) == 0) {
                return status::invalid_arguments;
            }
            return status::success;
        }
    }
    return status::invalid_arguments;
}

status_t get_ocl_devices(
        std::vector<cl_device_id> *devices, cl_device_type device_type);

status_t get_ocl_device_index(size_t *index, cl_device_id device);

namespace details {

// OpenCL objects reference counting traits
template <typename T>
struct ocl_ref_traits;
//{
//    static void retain(T t) {}
//    static void release(T t) {}
//};

template <>
struct ocl_ref_traits<cl_context> {
    static void retain(cl_context t) { clRetainContext(t); }
    static void release(cl_context t) { clReleaseContext(t); }
};

template <>
struct ocl_ref_traits<cl_command_queue> {
    static void retain(cl_command_queue t) { clRetainCommandQueue(t); }
    static void release(cl_command_queue t) { clReleaseCommandQueue(t); }
};

template <>
struct ocl_ref_traits<cl_program> {
    static void retain(cl_program t) { clRetainProgram(t); }
    static void release(cl_program t) { clReleaseProgram(t); }
};

template <>
struct ocl_ref_traits<cl_kernel> {
    static void retain(cl_kernel t) { clRetainKernel(t); }
    static void release(cl_kernel t) { clReleaseKernel(t); }
};

template <>
struct ocl_ref_traits<cl_mem> {
    static void retain(cl_mem t) { clRetainMemObject(t); }
    static void release(cl_mem t) { clReleaseMemObject(t); }
};

template <>
struct ocl_ref_traits<cl_sampler> {
    static void retain(cl_sampler t) { clRetainSampler(t); }
    static void release(cl_sampler t) { clReleaseSampler(t); }
};

template <>
struct ocl_ref_traits<cl_event> {
    static void retain(cl_event t) { clRetainEvent(t); }
    static void release(cl_event t) { clReleaseEvent(t); }
};

template <>
struct ocl_ref_traits<cl_device_id> {
    static void retain(cl_device_id t) { clRetainDevice(t); }
    static void release(cl_device_id t) { clReleaseDevice(t); }
};

} // namespace details

// Generic class providing RAII support for OpenCL objects
template <typename T>
struct ocl_wrapper_t {
    ocl_wrapper_t(T t = nullptr, bool retain = false) : t_(t) {
        if (retain) { do_retain(); }
    }

    ocl_wrapper_t(const ocl_wrapper_t &other) : t_(other.t_) { do_retain(); }

    ocl_wrapper_t(ocl_wrapper_t &&other) noexcept : t_(std::move(other.t_)) {}

    ocl_wrapper_t &operator=(ocl_wrapper_t other) {
        using std::swap;
        swap(t_, other.t_);
        return *this;
    }

    ~ocl_wrapper_t() { do_release(); }

    operator T() const { return t_; }
    T get() const { return t_; }

    T release() {
        T t = t_;
        t_ = nullptr;
        return t;
    }

private:
    T t_;

    void do_retain() {
        if (t_) { details::ocl_ref_traits<T>::retain(t_); }
    }

    void do_release() {
        if (t_) { details::ocl_ref_traits<T>::release(t_); }
    }
};

// Constructs an OpenCL wrapper object (providing RAII support)
template <typename T>
ocl_wrapper_t<T> make_ocl_wrapper(T t) {
    return ocl_wrapper_t<T>(t);
}

status_t get_ocl_kernel_arg_type(compute::scalar_type_t *type,
        cl_kernel ocl_kernel, int idx, bool allow_undef = false);

#ifdef DNNL_ENABLE_MEM_DEBUG
cl_mem DNNL_WEAK clCreateBuffer_wrapper(cl_context context, cl_mem_flags flags,
        size_t size, void *host_ptr, cl_int *errcode_ret);
#else
cl_mem clCreateBuffer_wrapper(cl_context context, cl_mem_flags flags,
        size_t size, void *host_ptr, cl_int *errcode_ret);
#endif

status_t get_ocl_program_binary(cl_program program, cl_device_id device,
        std::shared_ptr<compute::binary_t> &binary);

status_t get_ocl_program_binary(cl_kernel kernel, cl_device_id device,
        std::shared_ptr<compute::binary_t> &binary);

void dump_kernel_binary(cl_kernel ocl_kernel);
void dump_kernel_binary(
        const engine_t *engine, const compute::kernel_t &binary_kernel);

status_t get_kernel_arg_types(cl_kernel ocl_kernel,
        std::vector<gpu::compute::scalar_type_t> *arg_types);

} // namespace ocl
} // namespace gpu
} // namespace impl
} // namespace dnnl

#endif
